CN113112806A - Passenger flow analysis method for bus rapid transit special platform and related equipment - Google Patents

Passenger flow analysis method for bus rapid transit special platform and related equipment Download PDF

Info

Publication number
CN113112806A
CN113112806A CN202110418005.6A CN202110418005A CN113112806A CN 113112806 A CN113112806 A CN 113112806A CN 202110418005 A CN202110418005 A CN 202110418005A CN 113112806 A CN113112806 A CN 113112806A
Authority
CN
China
Prior art keywords
target
transfer
rapid transit
passenger
bus rapid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110418005.6A
Other languages
Chinese (zh)
Inventor
黄伟
付学
邵凌霜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Yuanguang Technology Co ltd
Original Assignee
Wuhan Yuanguang Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan Yuanguang Technology Co ltd filed Critical Wuhan Yuanguang Technology Co ltd
Priority to CN202110418005.6A priority Critical patent/CN113112806A/en
Publication of CN113112806A publication Critical patent/CN113112806A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/123Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Chemical & Material Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Analytical Chemistry (AREA)
  • Remote Sensing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention provides a passenger flow analysis method and related equipment for a bus rapid transit special platform, which can rapidly evaluate the operation efficiency of a BRT platform. The method comprises the following steps: acquiring a positioning track of a vehicle and payment data of a passenger corresponding to the vehicle; acquiring basic information of a rapid public transport system line network in a target range; determining the origin-destination point of the target passenger according to the positioning track, the payment data and the basic information; determining a target transfer scheme according to the origin-destination of the target passenger; determining transfer information of the target bus rapid transit special platform according to the target transfer scheme; determining the transfer trip passenger flow of the target bus rapid transit special platform within a preset time length according to the transfer information of the target bus rapid transit special platform; determining the direct travel passenger flow of the target bus rapid transit platform within a preset time length according to the positioning track, the payment data and the basic information; and calculating the transfer proportion of the target bus rapid transit platform based on the transfer trip passenger flow and the direct trip passenger flow.

Description

Passenger flow analysis method for bus rapid transit special platform and related equipment
Technical Field
The invention relates to the field of transportation, in particular to a passenger flow analysis method for a bus rapid transit special platform and related equipment.
Background
The Bus Rapid Transit (BRT) is a novel public passenger transport system operating in a city Bus lane, and has the characteristics of high capacity, convenience in taking and high speed in operation. The bus rapid transit special station (called BRT platform for short) is one of the core components of the urban bus rapid transit system and has two forms of a road central island type and a road side type. The BRT platform is used for the stop of rapid bus line operation vehicles and the getting-on and getting-off of bus passengers, and also plays a role of a passenger transfer pivot point. The larger the transfer passenger flow of the BRT platform is, the higher the proportion of the transfer passenger flow to the passenger flow of the BRT platform is, the more obvious the connection effect exerted by the BRT platform is, and the higher the effect exerted is.
At present, most urban buses adopt boarding payment (IC card swiping, mobile phone two-dimensional code scanning payment and the like) and get off without payment; the BRT stations are designed to pay on-site (BRT stations) and pay off-site (BRT stations). Due to the lack of the data of getting off the bus, the passenger flow analysis can only analyze the passenger flow on each BRT platform, but cannot effectively analyze the passenger transfer travel behavior to obtain the transfer passenger flow and the transfer traffic volume survey (OD), so that the problems of the proportion of the transfer passenger flow of the rapid transit system and the evaluation of the service efficiency of the BRT platform are solved.
At present, two manual passenger flow investigation methods, namely field manual passenger flow OD investigation recording and video passenger flow data dike investigation, are mainly adopted for BRT transfer passenger flow volume analysis in each city, but for adopting the field manual passenger flow OD investigation recording, the problems of small investigation sample proportion, low precision, high cost, poor timeliness, long investigation period, difficult data processing in the later period and the like exist, and the dynamic change characteristics of the travel requirements of passengers cannot be reflected; for bus passenger flow video counting investigation, because the current video passenger flow counting can not realize passenger face identification and can not obtain passenger identity characteristics, the travel track of the passenger can not be tracked and analyzed, and the transfer behavior and transfer OD data in the passenger station can not be analyzed temporarily.
Disclosure of Invention
The embodiment of the invention provides a passenger flow analysis method and related equipment for a bus rapid transit special platform, which can rapidly evaluate the operation efficiency of a BRT platform and provide decision support for further optimizing BRT line operation.
The first aspect of the embodiment of the invention provides a passenger flow analysis method for a bus rapid transit special platform, which comprises the following steps:
acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length, wherein the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
acquiring basic information of a bus rapid transit system line network in the target range, wherein the basic information comprises all bus rapid transit passenger flow corridors, all bus rapid transit connecting line bidirectional platform names, platform coordinates and platform sequence information in the target range;
determining a destination-destination point of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
determining transfer information of a target bus rapid transit special platform according to the target transfer scheme, wherein the target bus rapid transit special platform corresponds to the target transfer scheme;
determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
determining the direct trip passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information;
and calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
Optionally, the calculating a transfer proportion of the target bus rapid transit station within the preset time length based on the transfer trip passenger flow and the express trip passenger flow comprises:
determining the transfer proportion of the target bus rapid transit station within the preset time length by the following formula:
Figure BDA0003026675840000021
wherein psi is transfer proportion, TC, of the target bus rapid transit station within the preset time length1The passenger flow rate, TC, of the target bus rapid transit special platform is in the transfer travel within the preset time length2And the direct travel passenger flow of the target bus rapid transit special platform within the preset time length is obtained.
Optionally, the determining a target transfer plan of the target passenger according to the origin-destination point of the target passenger includes:
determining a transfer scheme set of the target passenger according to the origin-destination point of the target passenger;
and determining a target transfer scheme of the target passenger from the transfer scheme set of the target passenger.
Optionally, the determining the target transfer plan of the target passenger from the transfer plan set of the target passenger includes:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger;
and determining the transfer scheme with the highest selected probability in the transfer scheme set of the target passenger as the target transfer scheme.
Optionally, the determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger comprises:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger by:
Figure BDA0003026675840000031
wherein, PiFor the selected probability of the ith transfer scheme in the transfer scheme set, b is a parameter, Vi is a utility determining item formed by observable factors, and Vi is calculated by the following formula:
Figure BDA0003026675840000041
wherein, theta1And theta2For each of the parameters of the factors, the parameters,
Figure BDA0003026675840000042
for the vehicle running time corresponding to the ith transfer scenario,
Figure BDA0003026675840000043
and C is a comfort level penalty factor and sigma is a direct performance penalty factor.
The second invention of the embodiment of the present invention provides a passenger flow analysis device for a bus rapid transit special-purpose platform, including:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of passengers corresponding to the vehicle within the preset time length, and the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
the acquisition unit is further used for determining basic information of a rapid bus system line network in the target range, wherein the basic information comprises all rapid bus passenger flow corridors, all rapid bus connecting line bidirectional platform names, platform coordinates and station sequence information in the target range;
the first determining unit is used for determining the origin-destination of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
the second determining unit is used for determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
a third determining unit, configured to determine transfer information of a target bus rapid transit special platform according to the target transfer scheme, where the target bus rapid transit special platform corresponds to the target transfer scheme;
the fourth determining unit is used for determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
a fifth determining unit, configured to determine, according to the positioning track, the payment data, and the basic information, a direct trip passenger flow of the target bus rapid transit platform within the preset time duration;
and the calculating unit is used for calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the express trip passenger flow.
Optionally, the computing unit is specifically configured to:
determining the transfer proportion of the target bus rapid transit station within the preset time length by the following formula:
Figure BDA0003026675840000051
wherein psi is transfer proportion, TC, of the target bus rapid transit station within the preset time length1The passenger flow rate, TC, of the target bus rapid transit special platform is in the transfer travel within the preset time length2And the direct travel passenger flow of the target bus rapid transit special platform within the preset time length is obtained.
Optionally, the second determining unit is specifically configured to:
determining a transfer scheme set of the target passenger according to the origin-destination point of the target passenger;
and determining a target transfer scheme of the target passenger from the transfer scheme set of the target passenger.
Optionally, the determining, by the second determining unit, the target transfer plan of the target passenger from the transfer plan set of the target passenger includes:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger;
and determining the transfer scheme with the highest selected probability in the transfer scheme set of the target passenger as the target transfer scheme.
Optionally, the determining, by the second determining unit, the selected probability of each transfer scenario in the transfer scenario set of the target passenger includes:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger by:
Figure BDA0003026675840000061
wherein, PiFor the selected probability of the ith transfer scheme in the transfer scheme set, b is a parameter, Vi is a utility determining item formed by observable factors, and Vi is calculated by the following formula:
Figure BDA0003026675840000062
wherein, theta1And theta2For each of the parameters of the factors, the parameters,
Figure BDA0003026675840000063
for the vehicle running time corresponding to the ith transfer scenario,
Figure BDA0003026675840000064
and C is a comfort level penalty factor and sigma is a direct performance penalty factor.
A third aspect of the embodiments of the present invention provides an electronic device, including a memory and a processor, where the processor is configured to implement the steps of the passenger flow analysis method for a bus rapid transit dedicated platform according to the first aspect when executing a computer management program stored in the memory.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, on which a computer management program is stored, where the computer management program, when executed by a processor, implements the steps of the method for analyzing passenger flow at a bus rapid transit dedicated platform according to the first aspect.
In summary, it can be seen that, in the embodiment provided by the application, the direct and transfer passenger flow of the BRT platform related to the BRT platform direct related (getting on, getting off and transferring) passenger flow in the urban rapid transit system is calculated, and the transfer passenger flow proportion of the BRT platform is calculated, so that the operation efficiency of the BRT platform is evaluated rapidly, and a decision support is provided for further optimizing the operation organization of the BRT line and the free transfer subsidy.
Drawings
Fig. 1 is a schematic flow chart of a passenger flow analysis method for a bus rapid transit special platform according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a passenger flow direct transfer and transfer path of a bus rapid transit system according to an embodiment of the present invention;
fig. 3 is a schematic view of a virtual structure of a passenger flow analysis device for a bus rapid transit dedicated platform according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a passenger flow analysis device for a bus rapid transit dedicated station according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an embodiment of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The following describes a passenger flow analysis method for a bus rapid transit dedicated platform from the perspective of a passenger flow analysis device for a bus rapid transit dedicated platform, which may be a server or a service unit in a server.
Referring to fig. 1, fig. 1 is a schematic view of an embodiment of a passenger flow analysis method for a bus rapid transit special platform according to an embodiment of the present invention, where the passenger flow analysis method for the bus rapid transit special platform includes:
101. and acquiring a positioning track of the vehicle in the target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length.
In this embodiment, the passenger flow analysis device at the bus rapid transit dedicated platform can obtain a positioning track of a vehicle in a target range within a preset time and payment data of a passenger corresponding to the vehicle within the preset time, wherein the vehicle comprises the bus rapid transit vehicle and a conventional bus which is connected with the bus rapid transit dedicated platform of the bus rapid transit vehicle; the payment data comprises passenger boarding payment data and passenger BRT arrival payment data, wherein the passenger boarding payment data comprises a user number, a line number, payment time and a payment type; passenger BRT inbound payment data includes: user number, station name (number), station order, payment time, and payment type; the positioning track comprises information such as a vehicle number (license plate number), a line number (line name), longitude and latitude coordinates, a time value, a direction angle, a speed value and the like. It is understood that the target range may be a city, such as wuhan, or a certain region in the city, such as wuhan marchan, and the preset time period may be 7 days, or 15 days or 1 month, and is not limited.
102. And acquiring basic information of the rapid public transport system line network in the target range.
In this embodiment, the passenger flow analysis device at the bus rapid transit dedicated station can obtain basic information of the bus rapid transit system line network within a target range, where the basic information includes all bus rapid transit passenger flow corridors, all bus rapid transit access line bidirectional station names, station coordinates, and station order information within the target range; that is to say, the passenger flow analysis device for the bus rapid transit special platform can extract a station collection and a collection of line stations according to the line-station correspondence, so as to form a bus rapid transit platform matrix. For example, forward stations of a bus rapid transit B1 line are sequentially named as B1-F-A1 and B1-F-A2 … … B1-F-A12, and reverse stations are station sequences B1-B-a1 and B1-B-a2 … … B1-B-a12 at one time; by analogy, forward stations of the Bn line of the bus rapid transit are named as Bn-F-N1 and Bn-F-N2 … … Bn-F-Nx in sequence, and reverse stations are named as Bn-B-N1 and Bn-B-N2 … … Bn-B-Nx in sequence once. According to the programmed mapping relation of codes of all line stations of the bus rapid transit system, for example, "B1-F-A12" and "B1-B-a 1" in a B1 main line are the same central island type BRT station, and the mapping relation of all line stations (BRT stations and conventional bus stations) and station sequence codes is sequentially established.
It should be noted that the passenger flow analysis device at the bus rapid transit dedicated station can obtain the positioning track of the vehicle within the target range and the payment data of the passenger corresponding to the vehicle within the preset time period through step 101, and can determine the basic information of the line network of the bus rapid transit system within the target range through step 102, however, there is no sequential execution order limitation between these two steps, and step 101 may be executed first, or step 102 may be executed first, or executed simultaneously, and the specific implementation is not limited.
Next, the passenger flow type and the combination type of the BRT station express and transfer passenger flow travel station are described with reference to fig. 2, and fig. 2 is a schematic view of the passenger flow express and transfer paths of the bus rapid transit system according to the embodiment of the present invention, and the passenger flow type is first described.
Firstly, the passenger flow type comprises a direct passenger flow type and a transfer passenger flow type:
1. a type of passenger flow;
directly reaching passenger flow:
in the rapid transit system, passengers get on and off stations on the same line, the passengers can directly arrive by considering the line, and the passengers are not considered to be transferred. The direct passenger flow counted in the invention refers to the rapid public transport direct travel passenger flow with the getting-on station or the getting-off station as a BRT station, and is related to the BRT station.
Therefore, the travel behaviors which are not actually connected with the BRT station, including the direct passenger flow of the conventional bus station (approach BRT station) of both the getting-on station and the getting-off station, do not belong to the consideration range of the invention.
Secondly, passenger transfer flow:
in the bus rapid transit system, the stations for passengers to get on and off the bus are not on the same B line, and the passengers need to be transferred through the BRT stations and are regarded as transfer passenger flows. Therefore, only the travel passenger flow of the rapid transit system for transferring another line through the BRT platform (free) needs to be calculated.
BRT platform up to passenger flow category:
the method comprises the following steps of swiping a card at a BRT platform to enter a station, taking a rapid bus line to directly go out or taking a rapid bus line (main line or branch line) to directly go out of the BRT platform, and getting off and leaving passenger flow types, wherein the types are divided into two types:
swiping cards from a BRT platform to enter a station, taking B1 and B2 lines or other lines capable of taking B lines in a bidirectional way, and taking off the station as the BRT platform or the station along the B lines which are taken, having no transfer behavior and belonging to direct passenger flow;
and secondly, swiping a card to get on from other conventional bus stations which are not BRT stations, getting off and getting off at the BRT stations by taking a B line, having no transfer behavior and belonging to direct passenger flow.
(3) BRT station transfer passenger flow category:
the BRT stations are punched to get on the bus by B1, B2 or other lines which can be taken, other lines are transferred at other BRT stations (transfer stations), and transfer behaviors exist at the BRT stations, belonging to transfer passenger flow.
Swiping a card at a non-BRT (conventional bus stop) platform to take a B line for getting on the bus, getting off the bus at the BRT platform to transfer other B lines, and having transfer behavior at the BRT platform, belonging to transfer passenger flow;
and secondly, combining the BRT platform direct and transfer passenger flow traveling platforms.
With reference to fig. 2, the bus rapid transit system has two main line modes, B1 and B2.
Line B1 is set as a full-journey BRT station (no conventional bus station), passengers can only get in after payment at the BRT station, take vehicles of line B1 and select to transfer other BRT branches along the BRT station at line B1.
The line B2 is set up so that some stations are BRT stations and some stations are conventional bus stations. Passengers can get on the station after paying at the BRT station, take the vehicles on line B2 and select to transfer other BRT branches along the BRT station on line B2; and the vehicle can also pay for getting on the bus at a conventional bus stop on a line B2, and the vehicle on a line B2 can selectively transfer to other BRT branches at a BRT stop along the way.
According to two main line modes of B1/B2, the following BRT platform passenger flow related direct and transfer travel behaviors are analyzed:
(1) direct passenger flow trip platform combination type;
(ii) a BRT station (O) -BRT station (D);
the BRT platform is swiped to enter the station, and the passengers get off the vehicle at the BRT platform by lines B1 and B2 to directly arrive at the BRT platform.
A BRT station (O) -a conventional bus station (D);
the BRT station is punched to enter the station and is directly reached by a same-station route (B2 and other branches).
③ a conventional bus station (O) -BRT station (D);
and (3) swiping a card to get on the bus at a station of a non-BRT station on the line B2 or getting on the bus at a conventional station of a branch line connected with the BRT station, and getting off the bus at the BRT station connected by a fast bus line to directly get on the bus.
(2) The combination types of the boarding platform, the transfer platform and the disembarking platform of the transfer passenger flow are as follows:
BRT station (O) -BRT station (T) -conventional bus station (D);
and (3) swiping a card at the BRT station to get in the station and taking the B line, transferring a transfer branch line at the connected BRT station, and getting off the bus at the conventional bus station.
BRT station (O) -BRT station (T) -BRT station (D);
the BRT platform is blocked by a card to enter the station and takes the B line, the B line is connected at the transfer station of the connected BRT platform and the other BRT platform is unloaded.
A conventional bus station (O) -BRT station (T) -BRT station (D);
getting on the bus at the conventional station of the line B, taking the line B to get off the bus at the transfer BRT platform, and getting off the bus at the BRT platform by transferring other lines B.
Conventional bus station (O) -BRT station (T) -conventional bus station (D).
Getting on the bus at the conventional bus stop of the B line and taking the B line, getting off the bus at the transfer BRT platform and transferring other B lines, and getting off the bus at the conventional bus stop.
103. And determining the origin-destination of the target passenger according to the positioning track, the payment data and the basic information.
In this embodiment, after obtaining the location track of the vehicle in the target range within the preset time, the payment data of the passenger corresponding to the vehicle within the preset time, and the basic information of the bus rapid transit system line network within the target range, the passenger flow analysis device at the bus rapid transit dedicated station may determine the origin-destination of the target passenger according to the location track, the payment data, and the basic information, where the target passenger is any one of the passengers having transfer at the bus rapid transit dedicated station within the preset time. The following is a detailed description:
after obtaining the positioning track, the payment data and the basic information, the passenger flow analysis device of the bus rapid transit special station can carry out data cleaning and standardization processing on the data, then carry out passenger riding data matching on the data after the data cleaning and standardization processing, then calculate the origin-destination of the passenger, when the origin-destination is determined, the passenger travel analysis device aims at IC card data processing, and when the vehicle data exists, a BRT line judges the getting-on station of the user according to the card swiping time and the vehicle GPS data; the following explains the analysis of the BRT get-off data:
1. a plurality of card swiping records exist, and the BRT card swiping record is not the last 1;
taking a first BRT card swiping record, wherein the first station getting on the bus is O1(ii) a Then judging whether the second piece of data is BRT card swiping data or not, and if the second piece of data is the BRT card swiping data, judging that the second piece of data is BRT card swiping data
Figure BDA0003026675840000111
If the second piece of data is not BRT card swiping data, judging whether a BRT site exists in the latest 1km or not; if yes, judging whether the O is the same as the first O; if different, the judgment is made
Figure BDA0003026675840000112
If the OD is the same as the first OD, judging whether the OD of the same starting point exists two days before; if yes, the judgment is made
Figure BDA0003026675840000113
If not, recording the data as the data to be judged;
if no BRT station exists within the latest 1km, judging whether the OD of the same starting point exists before two days, and if so, judging that the OD is the same as the OD of the starting point
Figure BDA0003026675840000114
If not, recording the data as the data to be judged; whereby O can be determined in turnnAnd Dn
2. A plurality of card swiping records exist, and the BRT card swiping record is the last one;
judging whether the OD of the same starting point exists two days before, if so, judging that the OD is the same as the OD of the same starting point
Figure BDA0003026675840000121
If no record is recorded, the data is determined as the data to be judged, thereby sequentially judging
Figure BDA0003026675840000122
And
Figure BDA0003026675840000123
3. two pieces of BRT card swiping data are provided;
taking a first BRT card swiping record, wherein the first station getting on the bus is O1Second BRT card reading record data D1(ii) a Taking the point on the second BRT card swiping record as O2The first BRT card swiping record data is recorded as D2By analogy, O can be determinednAnd Dn
4. 3 or more pieces of BRT card swiping data are available;
taking a first BRT card swiping record, wherein the first station getting on the bus is O1And the second BRT card swiping data is recorded as D1(ii) a Taking the second BRT card swiping record to get the point on the bus as O2And the third BRT card swiping record data is recorded as D2(ii) a Taking the Nth BRT card swiping record to record the point of getting on the bus as OnAnd recording the N +1 BRT card swiping record data as Dn+1And taking the last BRT card swiping record to record the vehicle-entering point as Ox(ii) a Judging whether there is duplication with the previous record, if there is D for the previous recordx-1If not, the point of getting on the bus of the first record is taken as D1
5. Only one piece of BRT card swiping data is provided.
Judging whether OD of the same starting point exists two days before, if so, judging D1And if not, recording the data as the data to be judged.
As for the data to be determined, the preset time duration is 1 month as an example, after the data processing in the current month is completed, the data to be determined is reprocessed, whether the point O of the target passenger has the point D in the last three months (of course, other time durations may be used, as long as the time duration is longer than 1 month, specifically, without limitation) is determined, if yes, the maximum point OD is taken as the point D, and if not, the point O is determined.
Therefore, all the origin-destination points of the target passenger in the preset time length can be obtained, and the origin-destination points of the passengers transferred by all the BRT stations in the preset time length can be further obtained.
104. And determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger.
In this embodiment, after obtaining the origin-destination point of the target passenger, the rapid bus dedicated station passenger flow analysis device may determine a transfer scheme set of the target passenger according to the origin-destination point of the target passenger, and then determine the target transfer scheme of the target passenger from the transfer scheme set of the target passenger, that is, determine the most likely selected target transfer scheme of the target passenger from a plurality of transfer schemes; specifically, the selection probability of each transfer plan in the transfer plan set of the target passenger is determined firstly, and then the transfer plan with the highest selection probability in the transfer plan set of the target passenger is determined as the target transfer plan; when determining the selection probability of each transfer scheme in the transfer scheme set of the target passenger, the passenger flow analysis device for the bus rapid transit special platform can calculate through the following formula:
Figure BDA0003026675840000131
wherein, PiAnd b is a selected probability of the ith transfer scheme in the transfer scheme set, b is a parameter, and Vi is a utility determination item formed by observable factors. Because the current BRT platform adopts free transfer, the influence of the trip cost is not considered, and the transfer behavior selection utility function Vi is constructed by adopting the trip time, the comfort level and the direct performance:
Figure BDA0003026675840000141
wherein, theta1And theta2For each of the parameters of the factors, the parameters,
Figure BDA0003026675840000142
for the vehicle running time corresponding to the ith transfer scenario,
Figure BDA0003026675840000143
c is the sum of waiting time and transfer time of the ith transfer scheme, C is a comfort level penalty factor, and sigma is a direct performance penalty factor. The unknown parameters are calibrated by a maximum likelihood estimation method.
105. And determining transfer information of the target bus rapid transit special platform according to the target transfer scheme.
In this embodiment, after determining the target transfer scheme, the passenger flow analysis device at the bus rapid transit dedicated platform may determine transfer information of the target bus rapid transit dedicated platform according to the target transfer scheme, where the target bus rapid transit dedicated platform corresponds to the target transfer scheme. Therefore, all transfer information of the target bus rapid transit special platform in the preset time length and the target range can be obtained.
106. And determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time according to the transfer information of the target bus rapid transit special platform.
In this embodiment, the passenger flow analysis device at the bus rapid transit dedicated platform determines the transfer information of the target bus rapid transit dedicated platform, and can determine the transfer trip passenger flow of the target bus rapid transit dedicated platform within a preset time length according to the transfer information of the target bus rapid transit dedicated platform.
107. And determining the direct travel passenger flow of the target bus rapid transit platform within the preset time according to the positioning track, the payment data and the basic information.
In this embodiment, the passenger flow analysis device for the bus rapid transit dedicated platform determines the direct travel passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information, that is, determines the travel passenger flow which directly reaches the target bus rapid transit platform or departs from the target bus rapid transit platform within the preset time length.
108. And determining the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
In this embodiment, after obtaining the express trip passenger flow and the transfer trip passenger flow, the passenger flow analysis device for the bus rapid transit dedicated platform may calculate a transfer ratio of the target bus rapid transit platform in the preset market by using the following formula:
Figure BDA0003026675840000151
wherein psi is the transfer proportion of the target bus rapid transit station within a preset time length, TC1The passenger flow rate, TC, of the target bus rapid transit special platform is transferred within a preset time length2The direct travel passenger flow of the target bus rapid transit special platform within the preset time length is achieved.
In summary, it can be seen that, in the embodiment provided by the application, the direct and transfer passenger flow of the BRT platform related to the BRT platform direct related (getting on, getting off and transferring) passenger flow in the urban rapid transit system is calculated, and the transfer passenger flow proportion of the BRT platform is calculated, so that the operation efficiency of the BRT platform is evaluated rapidly, and a decision support is provided for further optimizing the operation organization of the BRT line and the free transfer subsidy.
The passenger flow analysis method for the bus rapid transit dedicated station in the embodiment of the present invention is described above, and the passenger flow analysis device for the bus rapid transit dedicated station in the embodiment of the present invention is described below.
Referring to fig. 3, a schematic view of a virtual structure of a passenger flow analysis device at a bus rapid transit dedicated platform according to an embodiment of the present invention, the passenger flow analysis device 300 at the bus rapid transit dedicated platform includes:
the system comprises an acquisition unit 301, a processing unit and a processing unit, wherein the acquisition unit 301 is used for acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of passengers corresponding to the vehicle within the preset time length, and the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
the obtaining unit 301 is further configured to determine basic information of a rapid public transportation system line network within the target range, where the basic information includes all rapid public transportation passenger flow corridors, all rapid public transportation connecting line bidirectional platform names, platform coordinates, and station order information within the target range;
a first determining unit 302, configured to determine a destination of a target passenger according to the positioning track, the payment data, and the basic information, where the target passenger is any one of passengers having transfer at the rapid bus dedicated station within the preset time period;
a second determining unit 303, configured to determine a target transfer plan of the target passenger according to the origin-destination of the target passenger;
a third determining unit 304, configured to determine transfer information of a target bus rapid transit special platform according to the target transfer scheme, where the target bus rapid transit special platform corresponds to the target transfer scheme;
a fourth determining unit 305, configured to determine a transfer trip passenger flow rate of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
a fifth determining unit 306, configured to determine a direct trip passenger flow of the target bus rapid transit station within the preset time length according to the positioning track, the payment data, and the basic information;
a calculating unit 307, configured to calculate a transfer proportion of the target bus rapid transit station within the preset time length based on the transfer trip passenger flow and the express trip passenger flow.
Optionally, the calculating unit 307 is specifically configured to:
determining the transfer proportion of the target bus rapid transit station within the preset time length by the following formula:
Figure BDA0003026675840000161
wherein psi is transfer proportion, TC, of the target bus rapid transit station within the preset time length1The passenger flow rate, TC, of the target bus rapid transit special platform is in the transfer travel within the preset time length2And the direct travel passenger flow of the target bus rapid transit special platform within the preset time length is obtained.
Optionally, the second determining unit 303 is specifically configured to:
determining a transfer scheme set of the target passenger according to the origin-destination point of the target passenger;
and determining a target transfer scheme of the target passenger from the transfer scheme set of the target passenger.
Optionally, the determining, by the second determining unit 303, the target transfer plan of the target passenger from the transfer plan set of the target passenger includes:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger;
and determining the transfer scheme with the highest selected probability in the transfer scheme set of the target passenger as the target transfer scheme.
Optionally, the determining, by the second determining unit 303, the selected probability of each transfer scenario in the transfer scenario set of the target passenger includes:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger by:
Figure BDA0003026675840000171
wherein, PiFor the selected probability of the ith transfer scheme in the transfer scheme set, b is a parameter, Vi is a utility determining item formed by observable factors, and Vi is calculated by the following formula:
Figure BDA0003026675840000172
wherein, theta1And theta2For each of the parameters of the factors, the parameters,
Figure BDA0003026675840000173
for the vehicle running time corresponding to the ith transfer scenario,
Figure BDA0003026675840000174
and C is a comfort level penalty factor and sigma is a direct performance penalty factor.
Fig. 3 describes the passenger flow analysis apparatus at the bus rapid transit dedicated platform in the embodiment of the present invention from the perspective of a modular functional entity, and the passenger flow analysis apparatus at the bus rapid transit dedicated platform in the embodiment of the present invention is described in detail below from the perspective of hardware processing, please refer to fig. 4, which shows an exemplary embodiment of a passenger flow analysis apparatus 400 at the bus rapid transit dedicated platform in the embodiment of the present invention, and the passenger flow analysis apparatus 300 at the bus rapid transit dedicated platform includes:
an input device 401, an output device 402, a processor 403 and a memory 404 (wherein the number of the processor 403 may be one or more, and one processor 403 is taken as an example in fig. 4). In some embodiments of the present invention, the input device 401, the output device 402, the processor 403 and the memory 404 may be connected by a communication bus or other means, wherein fig. 4 illustrates the connection of the communication bus.
Wherein, by calling the operation instruction stored in the memory 404, the processor 403 is configured to execute the following steps:
acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length, wherein the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
acquiring basic information of a bus rapid transit system line network in the target range, wherein the basic information comprises all bus rapid transit passenger flow corridors, all bus rapid transit connecting line bidirectional platform names, platform coordinates and platform sequence information in the target range;
determining a destination-destination point of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
determining transfer information of a target bus rapid transit special platform according to the target transfer scheme, wherein the target bus rapid transit special platform corresponds to the target transfer scheme;
determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
determining the direct trip passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information;
and calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
The processor 403 is also configured to execute any of the manners in the corresponding embodiments of fig. 1 by calling the operation instructions stored in the memory 404.
Referring to fig. 5, fig. 5 is a schematic view of an embodiment of an electronic device according to an embodiment of the invention.
As shown in fig. 5, an embodiment of the present invention provides an electronic device, which includes a memory 510, a processor 520, and a computer program 511 stored in the memory 520 and running on the processor 520, wherein the processor 520 executes the computer program 511 to implement the following steps:
acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length, wherein the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
acquiring basic information of a bus rapid transit system line network in the target range, wherein the basic information comprises all bus rapid transit passenger flow corridors, all bus rapid transit connecting line bidirectional platform names, platform coordinates and platform sequence information in the target range;
determining a destination-destination point of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
determining transfer information of a target bus rapid transit special platform according to the target transfer scheme, wherein the target bus rapid transit special platform corresponds to the target transfer scheme;
determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
determining the direct trip passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information;
and calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
In a specific implementation, when the processor 520 executes the computer program 511, any of the embodiments corresponding to fig. 1 may be implemented.
Since the electronic device described in this embodiment is a device used for implementing the passenger flow analysis device for a bus rapid transit dedicated platform in the embodiment of the present invention, based on the method described in the embodiment of the present invention, those skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in the embodiment of the present invention by the electronic device is not described in detail herein, and as long as the device used for implementing the method in the embodiment of the present invention by the person skilled in the art belongs to the scope of the present invention to be protected.
Referring to fig. 6, fig. 6 is a schematic diagram illustrating an embodiment of a computer-readable storage medium according to the present invention.
As shown in fig. 6, an embodiment of the present invention further provides a computer-readable storage medium 600, on which a computer program 611 is stored, where the computer program 611, when executed by a processor, implements the following steps:
acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length, wherein the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
acquiring basic information of a bus rapid transit system line network in the target range, wherein the basic information comprises all bus rapid transit passenger flow corridors, all bus rapid transit connecting line bidirectional platform names, platform coordinates and platform sequence information in the target range;
determining a destination-destination point of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
determining transfer information of a target bus rapid transit special platform according to the target transfer scheme, wherein the target bus rapid transit special platform corresponds to the target transfer scheme;
determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
determining the direct trip passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information;
and calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
In specific implementation, the computer program 611 is executed by the processor to implement any of the embodiments corresponding to fig. 1.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
An embodiment of the present invention further provides a computer program product, where the computer program product includes a computer software instruction, and when the computer software instruction runs on a processing device, the processing device executes a flow in the bus rapid transit dedicated platform passenger flow analysis method in the embodiment corresponding to fig. 1.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical division, and the actual implementation may be in other divisions, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A passenger flow analysis method for a bus rapid transit special platform is characterized by comprising the following steps:
acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of a passenger corresponding to the vehicle within the preset time length, wherein the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
acquiring basic information of a bus rapid transit system line network in the target range, wherein the basic information comprises all bus rapid transit passenger flow corridors, all bus rapid transit connecting line bidirectional platform names, platform coordinates and platform sequence information in the target range;
determining a destination-destination point of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
determining transfer information of a target bus rapid transit special platform according to the target transfer scheme, wherein the target bus rapid transit special platform corresponds to the target transfer scheme;
determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
determining the direct trip passenger flow of the target bus rapid transit platform within the preset time length according to the positioning track, the payment data and the basic information;
and calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the direct trip passenger flow.
2. The method of claim 1, wherein the calculating the transfer proportion of the target bus rapid transit station within the preset time period based on the transfer travel passenger volume and the express travel passenger volume comprises:
determining the transfer proportion of the target bus rapid transit station within the preset time length by the following formula:
Figure FDA0003026675830000011
wherein psi is transfer proportion, TC, of the target bus rapid transit station within the preset time length1The passenger flow rate, TC, of the target bus rapid transit special platform is in the transfer travel within the preset time length2And the direct travel passenger flow of the target bus rapid transit special platform within the preset time length is obtained.
3. The method according to claim 1 or 2, wherein the determining a target transfer scenario for the target passenger based on the origin-destination of the target passenger comprises:
determining a transfer scheme set of the target passenger according to the origin-destination point of the target passenger;
and determining a target transfer scheme of the target passenger from the transfer scheme set of the target passenger.
4. The method of claim 3, wherein said determining the target transfer plan for the target passenger from the set of transfer plans for the target passenger comprises:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger;
and determining the transfer scheme with the highest selected probability in the transfer scheme set of the target passenger as the target transfer scheme.
5. The method of claim 4, wherein the determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger comprises:
determining a selected probability for each transfer scenario in the set of transfer scenarios for the target passenger by:
Figure FDA0003026675830000021
wherein, PiFor the selected probability of the ith transfer scheme in the transfer scheme set, b is a parameter, Vi is a utility determining item formed by observable factors, and Vi is calculated by the following formula:
Figure FDA0003026675830000031
wherein, theta1And theta2For each of the parameters of the factors, the parameters,
Figure FDA0003026675830000032
for the vehicle running time corresponding to the ith transfer scenario,
Figure FDA0003026675830000033
and C is a comfort level penalty factor and sigma is a direct performance penalty factor.
6. The utility model provides a bus rapid transit special platform passenger flow analytical equipment which characterized in that includes:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a positioning track of a vehicle in a target range within a preset time length and payment data of passengers corresponding to the vehicle within the preset time length, and the vehicle comprises a bus rapid transit vehicle and a conventional bus which is connected with a bus rapid transit special platform of the bus rapid transit vehicle;
the acquisition unit is further used for determining basic information of a rapid bus system line network in the target range, wherein the basic information comprises all rapid bus passenger flow corridors, all rapid bus connecting line bidirectional platform names, platform coordinates and station sequence information in the target range;
the first determining unit is used for determining the origin-destination of a target passenger according to the positioning track, the payment data and the basic information, wherein the target passenger is any one of passengers who have transfer at the bus rapid transit special station within the preset time length;
the second determining unit is used for determining a target transfer scheme of the target passenger according to the origin-destination point of the target passenger;
a third determining unit, configured to determine transfer information of a target bus rapid transit special platform according to the target transfer scheme, where the target bus rapid transit special platform corresponds to the target transfer scheme;
the fourth determining unit is used for determining the transfer trip passenger flow of the target bus rapid transit special platform within the preset time length according to the transfer information of the target bus rapid transit special platform;
a fifth determining unit, configured to determine, according to the positioning track, the payment data, and the basic information, a direct trip passenger flow of the target bus rapid transit platform within the preset time duration;
and the calculating unit is used for calculating the transfer proportion of the target bus rapid transit platform in the preset time length based on the transfer trip passenger flow and the express trip passenger flow.
7. The apparatus according to claim 6, wherein the computing unit is specifically configured to:
determining the transfer proportion of the target bus rapid transit station within the preset time length by the following formula:
Figure FDA0003026675830000041
wherein psi is transfer proportion, TC, of the target bus rapid transit station within the preset time length1The passenger flow rate, TC, of the target bus rapid transit special platform is in the transfer travel within the preset time length2And the direct travel passenger flow of the target bus rapid transit special platform within the preset time length is obtained.
8. The apparatus according to claim 6 or 7, wherein the second determining unit is specifically configured to:
determining a transfer scheme set of the target passenger according to the origin-destination point of the target passenger;
and determining a target transfer scheme of the target passenger from the transfer scheme set of the target passenger.
9. An electronic device comprising a memory and a processor, wherein the processor is configured to implement the steps of the method for analyzing passenger flow at a bus rapid transit dedicated platform according to any one of claims 1 to 5 when executing a computer management program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer management-like program, characterized in that: the computer management program, when executed by a processor, implements the steps of the method for analyzing passenger flow at a bus rapid transit special stop according to any one of claims 1 to 5.
CN202110418005.6A 2021-04-19 2021-04-19 Passenger flow analysis method for bus rapid transit special platform and related equipment Pending CN113112806A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110418005.6A CN113112806A (en) 2021-04-19 2021-04-19 Passenger flow analysis method for bus rapid transit special platform and related equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110418005.6A CN113112806A (en) 2021-04-19 2021-04-19 Passenger flow analysis method for bus rapid transit special platform and related equipment

Publications (1)

Publication Number Publication Date
CN113112806A true CN113112806A (en) 2021-07-13

Family

ID=76718698

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110418005.6A Pending CN113112806A (en) 2021-04-19 2021-04-19 Passenger flow analysis method for bus rapid transit special platform and related equipment

Country Status (1)

Country Link
CN (1) CN113112806A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115249120A (en) * 2022-06-16 2022-10-28 北京轨道交通路网管理有限公司 Method and device for determining equipment starting-up plan and electronic equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105320998A (en) * 2015-09-22 2016-02-10 中山大学 IC card swiping data based optimal bus travel route acquisition method
WO2017045294A1 (en) * 2015-09-17 2017-03-23 华南理工大学 Method for designing routine urban public transit network
CN109636120A (en) * 2018-11-16 2019-04-16 浩鲸云计算科技股份有限公司 The analysis method for needing the true OD of website is crossed in a kind of public transport
CN110991794A (en) * 2019-10-28 2020-04-10 上海城市交通设计院有限公司 Urban rail and public transport two-network fusion level evaluation method
CN111932925A (en) * 2020-07-09 2020-11-13 中咨数据有限公司 Method, device and system for determining travel passenger flow of public transport station
CN112070372A (en) * 2020-08-25 2020-12-11 长沙理工大学 Bus passenger flow distribution method, system and storage medium based on interval uncertainty

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017045294A1 (en) * 2015-09-17 2017-03-23 华南理工大学 Method for designing routine urban public transit network
CN105320998A (en) * 2015-09-22 2016-02-10 中山大学 IC card swiping data based optimal bus travel route acquisition method
CN109636120A (en) * 2018-11-16 2019-04-16 浩鲸云计算科技股份有限公司 The analysis method for needing the true OD of website is crossed in a kind of public transport
CN110991794A (en) * 2019-10-28 2020-04-10 上海城市交通设计院有限公司 Urban rail and public transport two-network fusion level evaluation method
CN111932925A (en) * 2020-07-09 2020-11-13 中咨数据有限公司 Method, device and system for determining travel passenger flow of public transport station
CN112070372A (en) * 2020-08-25 2020-12-11 长沙理工大学 Bus passenger flow distribution method, system and storage medium based on interval uncertainty

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
张欣环等: "基于IC卡和GPS信息的城市常规公交客流分析", 《浙江师范大学学报(自然科学版)》 *
李琼星等: "据公交站点客流量推算公交O-D量的方法", 《湖南农业大学学报(自然科学版)》 *
章玉等: "公交线路客流OD管流类推估算方法的应用", 《交通信息与安全》 *
罗霞等: "大型综合客运枢纽换乘需求预测研究", 《铁道运输与经济》 *
陆原等: "快速公交***模式研究――以广州市BRT试验线***为例", 《城市交通》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115249120A (en) * 2022-06-16 2022-10-28 北京轨道交通路网管理有限公司 Method and device for determining equipment starting-up plan and electronic equipment
CN115249120B (en) * 2022-06-16 2024-03-22 北京轨道交通路网管理有限公司 Method and device for determining equipment startup plan and electronic equipment

Similar Documents

Publication Publication Date Title
CN109035770B (en) Real-time analysis and prediction method for bus passenger capacity in big data environment
TWI776068B (en) Method and device for charging by car
CN106529711B (en) User behavior prediction method and device
Hora et al. Estimation of Origin-Destination matrices under Automatic Fare Collection: the case study of Porto transportation system
CN107563579A (en) Vehicles management method and server
CN114363842B (en) Bus passenger departure station prediction method and device based on mobile phone signaling data
CN111932925A (en) Method, device and system for determining travel passenger flow of public transport station
CN112272199A (en) Passenger information processing system, passenger information processing method, user equipment and two-dimensional code scanning device
CN107945352A (en) Bus passenger flow data acquisition equipment and OD analysis systems
CN111027929B (en) Subway ticket sorting method and device
CN103605725A (en) Bus arrival time inquiring method, NFC terminal and server
CN106570686A (en) Highway route identification system and method based on virtual identification technology
CN105493135A (en) Fee refund system, and method for same
CN114358808A (en) Public transport OD estimation and distribution method based on multi-source data fusion
US20190017832A1 (en) Method and apparatus for providing recorded, anonymized routes
CN111858806A (en) Passenger travel track detection method, device, equipment and storage medium
CN205158450U (en) Public transit card swiping system based on discernment of resident's bus trip OD
US20170193405A1 (en) System for dispatching a driver
CN104318113A (en) Passenger transfer spatial-temporal characteristics based method and system for calculating passengers' boarding stations
CN113538952A (en) Bus interval abnormity identification and early warning system, method, equipment and storage medium
JP7146097B2 (en) Attendance evaluation method for tunnel construction vehicle, computer device, and computer-readable storage medium
CN114501336B (en) Road traffic volume measuring and calculating method and device, electronic equipment and storage medium
CN113112806A (en) Passenger flow analysis method for bus rapid transit special platform and related equipment
CN114820264A (en) Public transport vehicle transfer data processing method, device, equipment and storage medium
CN105608921B (en) The method and apparatus for prompting public transport line in an electronic

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210713

RJ01 Rejection of invention patent application after publication