CN104835315B - Mixed bus type-based bus operation time control system and method - Google Patents

Mixed bus type-based bus operation time control system and method Download PDF

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Publication number
CN104835315B
CN104835315B CN201510274082.3A CN201510274082A CN104835315B CN 104835315 B CN104835315 B CN 104835315B CN 201510274082 A CN201510274082 A CN 201510274082A CN 104835315 B CN104835315 B CN 104835315B
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bus
vehicle
departure interval
passenger
cost
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CN104835315A (en
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孙健
胥亚
陈书恺
薛睿
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Shanghai Jiaotong University
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Shanghai Jiaotong University
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    • 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

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Abstract

A mixed bus type-based bus operation time control system and method. Bus routes are classified, and the city bus routes are divided into a part with significant difference and a part with non-significant difference according to the difference of passenger flow in peak and low-ebb periods, so that whether a mixed bus type bus operation mode needs to be adopted is determined; categories of buses of the mixed bus type bus operation mode include buses of a conventional-capacity bus type with M seats and buses of a small-capacity bus type with N seats; bus scheduling work is to determine the car type of a regular bus of each time and departure interval time; based on getting-on and getting-off data of passengers of each station and related data of bus operation cost and the like, an optimal departure interval of the buses of the conventional-capacity bus type of the shift and an optimal departure interval of the buses of the small-capacity car type are calculated; costs of the bus operation modes of the two bus types at the optimal departure intervals are compared, and the regular bus with the lowest cost is selected and executed; and the abovementioned steps are repeated till a time period is over.

Description

Bus operation timing control system based on hybrid and method
Technical field
The present invention relates to a kind of technology of field of traffic control, specifically the bus operation moment based on hybrid Control system and method.
Background technology
Public traffic in priority is the maximally efficient method solving current city traffic problems.The innovation of bus operation aspect is public Hand over preferentially important content, the sound development to public transport plays an important role.The establishment of timetable is the main work of bus operation One of make, rational timetable can effectively improve the delivery efficiency of public transit vehicle, shortens the waiting time of passenger, reduces fortune Battalion's cost, and then improve the competitiveness of public transport, therefore, for a long time, the optimization of timetable is traffic scholar's important research content One of.But passing timetable research is mainly reflected in the optimization aspect of departure interval, not yet consider that different automobile types buses exist Application on same public bus network.Therefore, formulate one and can comprise the optimum public transport vehicle its corresponding optimum departure interval Transit scheduling there is extensive realistic meaning.
Find through the retrieval to prior art, Chinese patent literature cn104157132a, open (bulletin) day 2014.11.19, disclose a kind of dynamic optimization method of self-adapting type bus departure timetable, step is as follows: determines public transport line The full-time employment period t of road l, the rated passenger capacity c of bus service vehicle, maximum passenger capacity cs and bus departure interval tm; Determine the distribution situation of section passenger flow pijlk in kth time period between website i and adjacent sites j for the public bus network l;According to public affairs The section passenger flow data pijlk of the 1st buses of Real-time Feedback in intersection road l running between website i and website j (1) mated with the history bus station passenger flow section cumulative distribution curve on public bus network l, the 2nd buses of prediction break Face passenger flow demand distribution situation pijlk (2), determines the frequency t12 of the 2nd buses;Determine public transport line using recurrence method The bus departure timetable of the full-time employment period t of road l.This technology is dynamically adjusted by self-adapting type bus departure timetable At the time of departure of public transit vehicle, meet the passenger flow demand being continually changing, strengthen the reliability of bus service, reduce bus travel and prolong By mistake, improve bus service satisfaction.But the departure interval that the bus operation timing control system of this technology is formulated is based on list One vehicle operation mode, can lead to the generation that certain vehicle wastes, on the weak side to the adaptability of passenger flow fluctuation.
Content of the invention
The present invention is directed to deficiencies of the prior art, proposes a kind of control of the bus operation moment based on hybrid System and method processed, the feature rational scheduling scheme of formulation of the period strong public bus network that can fluctuate for passenger flow, more clever Live and efficient.
The present invention is achieved by the following technical solutions:
The present invention relates to a kind of bus operation timing control system based on hybrid, comprising: public bus network divides mould Block, assessment indicator system module, hybrid bus departure interval module, wherein:
Described public bus network division module includes: taxon, conventional vehicle departure interval control unit and carriage type Departure interval control unit, wherein: taxon is connected with public traffic information system, will receive passenger demand information classification is height Peak and flat peak two parts, and export respectively to conventional vehicle departure interval control unit and carriage type departure interval control unit; Conventional vehicle departure interval control unit is connected with assessment indicator system determining module, and transmits initial normal capacity vehicle operation Pattern departure interval information;Low capacity vehicle departure interval control unit is connected with assessment indicator system determining module, and transmits Initial low capacity vehicle operation mode departure interval information.
Described taxon processes bus passenger demand information, particularly as follows: processing gathered information source is public transport line Road passenger demand amount historical data, by the public bus network information meeting mixing public transport vehicle receiving, by peak and low ebb phase Passenger flow difference size is divided into the not notable two parts of significant difference and difference, and after its process, output public transport classification information is between dispatching a car Every control unit.
Described conventional vehicle departure interval control unit determines regular public traffic minimum departure interval δ tminAnd maximum dispatches a car Interval δ tmaxTask, to assessment indicator system determining module export normal capacity vehicle operation mode departure interval information.
Described carriage type departure interval control unit determines the task of small-sized public transport minimum and maximum departure interval, Xiang Ping Valency index system determining module exports carriage type operation mode departure interval information.
Described assessment indicator system determining module includes: bus operation cost determination unit, passenger waiting time determine Unit, passenger in-car time determining unit, vehicle crowding determining unit, wherein: bus operation cost determination unit with dispatch a car Interval control unit is connected and transmits bus operation cost information, passenger waiting time determining unit and departure interval control unit It is connected and transmits passenger waiting time and corresponding time cost information, passenger's in-car time determining unit and departure interval control single Unit is connected and transmits passenger's riding time and corresponding time cost information, and vehicle crowding determining unit and departure interval control single Unit is connected and transmits in-car ridership and vehicle congestion information.
Described bus operation cost determination unit processes bus operation cost and (includes cost of labor, fuel cost, vehicle Depreciable cost etc.) information, particularly as follows:Wherein:For i+1 Regular bus is δ t in the departure intervali+1In the case of normal capacity vehicle buses operation cost;c3For unit cost of labor;c4For list Position distance costs;skIt is adjacent the distance of website for site k;The information source being gathered is public transport company's operation data, at it After reason, output bus operation cost information is to departure interval determining unit.
Described passenger waiting time determining unit processes passenger waiting time information, particularly as follows:
Wherein:For i+1 regular bus in the departure interval it is δti+1In the case of passenger waiting time sum;c2For passenger's unit waiting time cost;Sending out for i+1 regular bus Workshop is divided into δ ti+1In the case of site k get on the bus ridership;It is δ t for i+1 regular bus in the departure intervali+1In the case of Site k passenger's average latency;The information source being gathered is that the website that investigation obtains is got on the bus ridership and average latency, It exports passenger's average latency and corresponding time cost information to hybrid bus departure interval determination module after processing.
Described passenger's in-car time determining unit processes passenger's riding time information, particularly as follows:Wherein:It is δ t for i+1 regular bus in the departure intervali+1Situation Time sum in lower passenger car;c1For passenger's unit in-car time cost;It is δ for i+1 regular bus in the departure interval ti+1In the case of site k passenger inside the vehicle's number between website k+1;It is δ t for i+1 regular bus in the departure intervali+1Feelings Site k vehicle travel time between website k+1 under condition;The information source being gathered runs historical data for public bus network day part And passenger demand data, after its process, output passenger's riding time and corresponding time cost information are to a hybrid bus departure Interval determination module.
Described vehicle crowding determining unit processes the vehicle degree of crowding and passenger inside the vehicle's number information, particularly as follows:Wherein pmaxFor passenger inside the vehicle's number maximum;slFor bus seat digit;δ is vehicle crowding;The information being gathered Source be buses shape parameter and passenger inside the vehicle's statistical data, its process after output the vehicle degree of crowding and passenger inside the vehicle's number information extremely Send out hybrid bus departure interval determination module.
Described hybrid bus departure interval determination module includes: conventional vehicle bus departure interval determining unit, Carriage type buses departure interval determining unit, comparative research unit, wherein: conventional vehicle bus departure interval determines single Unit is connected with comparative research unit and transmits conventional vehicle bus departure interval and cost information of dispatching a car, carriage type buses Departure interval determining unit is connected with comparative research unit and transmits carriage type bus departure interval and cost information of dispatching a car, Comparative research unit exports the vehicle information of next class of buses.
Described conventional vehicle bus departure interval determining unit processes science and engineering at conventional vehicle bus departure interval information Make.If i-th class of buses frequency is ti, total period a length of t, next class of buses departure interval is δ ti+1, regular public traffic Minimum departure interval δ tminAnd maximum departure interval δ tmax.Make δ ti+1=δ tmax, sentenced using vehicle crowding determining unit Disconnected vehicle congestion state.If it is, when calculating next regular bus passenger waiting time cost of normal capacity vehicle buses, in-car Between cost and operation cost sumAnd try to achieveValue;If it is not, then making δ ti+1=δ ti+1- 1, again Judge vehicle congestion state, until δ ti+1=δ tmin;It exports after processingInformation is to comparative research unit.
Described carriage type bus departure interval determining unit processes conventional vehicle bus departure interval information, particularly as follows: If i-th class of buses frequency is ti, total period a length of t, next class of buses departure interval is δ ti+1, small-sized public transport is Little departure interval δ tminAnd maximum departure interval δ tmax.Make δ ti+1=δ tmax, judged using vehicle crowding determining unit Vehicle congestion state.If it is, calculating next regular bus passenger waiting time cost of normal capacity vehicle buses, in-car time Cost and operation cost sumAnd try to achieveValue;If it is not, then making δ ti+1=δ ti+1- 1, again sentence Disconnected vehicle congestion state, until δ ti+1=δ tmin;It exports after processingInformation is to comparative research unit.
Described comparative research unit comparesOptimal value withThe work of optimal value, if the former Little, then next regular bus adopts normal capacity vehicle buses, and otherwise next regular bus adopts low capacity vehicle buses.
The present invention relates to the control method of said system, comprise the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines institute Research public bus network is applied to mixing public transport vehicle operation mode;
2) run practical situation according to different periods, determine each bus operation period parameters, such as different periods public transport target Cabin factor, minimum and maximum bus departure interval etc., facilitate the establishment of next step transit scheduling;
3) normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode, institute are determined respectively The cost considering has: bus operation cost (includes cost of labor, fuel cost, vehicle depreciation cost etc.), passenger waiting time Cost, passenger's in-car time cost;
4) two kinds of operation mode long-run cost rates are contrasted, between what under selection both of which, long-run cost rate was lower dispatches a car Every it is determined that the operation vehicle of next class of public transport and the time of departure;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable side Case.
Technique effect
Compared with prior art, the present invention has carried out to separated time road in the middle part of public transit system systematically, effectively selecting, can Improve the utilization ratio of the present invention well, the public bus network not meeting the present invention is carried out eliminate it is ensured that the pin of the present invention To property and reasonability;The operation mode based on mixing public transport vehicle for the present invention, the fluctuation of public transport demand common for city is received Enter limit of consideration, to adjust the time of departure with vehicle of dispatching a car as means, using the more flexible bus dispatching strategy of one kind, both carried The high delivery efficiency of public transit vehicle, shortens the waiting time of passenger, saves operation cost, also reduce to a certain extent The discharge of urban pollutant, energy saving, be conducive to the structure of green traffic system;The present invention is with the change of passenger demand amount To determine bus operation strategy, clear model understands, algorithm simple possible, to be easy to it in the application of real work and popularization.
Brief description
Fig. 1 is embodiment schematic flow sheet.
Specific embodiment
Below embodiments of the invention are elaborated, the present embodiment is carried out under premised on technical solution of the present invention Implement, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to following enforcements Example.
Embodiment 1
As shown in figure 1, the present embodiment comprises the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines institute Research public bus network is applied to mixing public transport vehicle operation mode;
2) run practical situation according to different periods, determine each bus operation period parameters, such as different periods public transport target Cabin factor, minimum and maximum bus departure interval etc., facilitate the establishment of next step transit scheduling;
3) normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode, institute are determined respectively The cost considering has: bus operation cost (includes cost of labor, fuel cost, vehicle depreciation cost etc.), passenger waiting time Cost, passenger's in-car time cost;
4) two kinds of operation mode long-run cost rates are contrasted, between what under selection both of which, long-run cost rate was lower dispatches a car Every it is determined that the operation vehicle of next class of public transport and the time of departure;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable side Case.
The present embodiment is applied to the larger urban public bus lines of passenger demand amount undulatory property.Accordingly, it would be desirable to determine certain first Whether public bus network meets mixing public transport vehicle operation mode.Because the present embodiment is the side processing the fluctuation of passenger demand amount Method, so the public bus network that selection meets mixing public transport vehicle operation mode is intended to by public bus network traffic-operating period to be selected temporally It is divided into some operation periods.Here, public bus network traffic-operating period is carried out Time segments division by a hour for a period. Next is to determine that selection meets the evaluation index of mixing public transport vehicle public bus network.This index is used to judge public bus network passenger Demand is in different periods diversity.The change of passenger loading quantity is that reflection passenger demand amount fluctuation the most directly refers to Mark, this data extracting directly can obtain from bus operation enterprise ic card database of record;In addition to passenger loading number, take advantage of Seat-kilometer number can also be used for weighing passenger demand situation as auxiliary characteristicss, according to based on passenger's ic card data and driving gps The passenger od anti-knot fruit that data obtains, can be evaluated whether this index of passenger's milimeter number.Again to this each period of public bus network Ridership and passenger's milimeter number carry out variance calculating, respectively obtain ridership variance and passenger's milimeter number variance, it are carried out add Weight average.According to weighted mean, the operation practical situation of comprehensive analysis public bus network, determine if to meet mixing buses Type operation mode.
Selecting out after certain public bus network meets mixing bus operation pattern it is possible to timetable optimization is carried out to it ?.Because public bus network has certain diversity in different periods operation target, also result in transit scheduling optimization used The ridership of bus station, such as in the morning peak stage, is transported to its purpose by bus operation parameter difference as soon as possible that arrive Ground is topmost operation target, and therefore the public transport crowding (maximum passenger inside the vehicle's number/seating capacity) in morning peak stage sets partially Greatly.Additionally, different periods public transit vehicle driving parameters are also different, such as: due to dramatically different, the morning peak of road traffic flow The travel speed of period vehicle is significantly less than the travel speed of ebb period vehicle.Following table is for certain public bus network peak period really Fixed bus operation parameter list, wherein: δ is crowding;δtminFor the minimum departure interval;δtmaxFor the maximum departure interval;c1 For passenger's unit in-car time cost;c2For passenger's unit waiting time cost;c3For unit cost of labor;c4For normal capacity Vehicle buses unit distance cost;c5For low capacity vehicle buses unit distance cost.
Certain public bus network operational parameter of table 1
After determining bus operation parameter, you can determine that normal capacity vehicle operation mode is runed with low capacity vehicle respectively Next regular bus departure interval of pattern:
If i-th class of buses frequency is ti, total period a length of t, determine next class of buses departure interval δ ti+1Step Suddenly as follows:
Step1: make δ ti+1=δ tmax, calculate site k and its adjacent sites passenger inside the vehicle's number under this departure interval pI+1, k, and determine passenger inside the vehicle's number maximum p in this casemax
Step2: normal capacity vehicle buses are judgedWherein sl, ssFor normal capacity vehicle bus seat Digit, δ is designated vehicle crowding;
Step3: if it is not, then making δ ti+1=δ ti+1-1;
Step4: if it is, when calculating next regular bus passenger waiting time cost of normal capacity vehicle buses, in-car Between cost and operation cost sumAnd try to achieveValue;
In-car time cost is determined with journey time by passenger inside the vehicle's number in adjacent two website stroke, its calculating formula For:
Wherein:For i+1 regular bus in the departure interval it is δti+1In the case of passenger in-car time sum;c1For passenger's unit in-car time cost;Sending out for i+1 regular bus Workshop is divided into δ ti+1In the case of site k passenger inside the vehicle's number between website k+1;For i+1 regular bus in the departure interval For δ ti+1In the case of site k vehicle travel time between website k+1.
Passenger waiting time cost determines, its calculating formula is by get on the bus ridership and average latency of each website:
Wherein:For i+1 regular bus in the departure interval it is δti+1In the case of passenger waiting time sum;c2For passenger's unit waiting time cost;Sending out for i+1 regular bus Workshop is divided into δ ti+1In the case of site k get on the bus ridership;It is δ t for i+1 regular bus in the departure intervali+1Situation Lower site k passenger's average latency.
Operation cost is determined by vehicle overall travel time, operating range and type of vehicle, and it is to be divided into and running time Relevant cost of labor and the vehicle cost related to stroke distances, including fuel cost, abrasion cost etc., its calculating formula For:
Wherein:For i+1 regular bus in the departure interval For δ ti+1In the case of normal capacity vehicle buses operation cost;c3For unit cost of labor;c4For unit distance costs;skFor Site k is adjacent the distance of website.
Step5: make δ ti+1=δ ti+1- 1, proceed to step1, until δ ti+1=δ tmin
Step6: selectTime interval corresponding to minima is sent out for normal capacity next regular bus of vehicle buses Workshop every;
For low capacity vehicle buses with its next regular bus departure interval of identical computational methods.
RelativelyOptimal value withOptimal value, if the former is little, next regular bus adopts normal capacity vehicle Buses, otherwise next regular bus is using low capacity vehicle buses.
This gives how to select and meeting the public bus network of mixing public transport vehicle operation mode, how to determine each public affairs Ship battalion's period parameters, how to determine normal capacity vehicle operation mode and between low capacity next regular bus of vehicle operation mode dispatches a car Every, and contrast two kinds of operation mode long-run cost rates on this basis, when the operation vehicle determining next class of public transport is with dispatching a car Between.The present embodiment hybrid species is normal capacity vehicle buses and two kinds of low capacity vehicle buses, specifically conventional Capacity can be determined on a case-by-case basis with the definition of low capacity vehicle.Bus operation pattern as three kinds or more vehicle Timetable is worked out, and the present embodiment also has reference value.

Claims (7)

1. a kind of bus operation moment control method based on hybrid is it is characterised in that comprise the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines and is studied Public bus network is applied to mixing public transport vehicle operation mode, specifically refers to: public bus network traffic-operating period to be selected is temporally divided For some operation periods;First public bus network traffic-operating period is carried out Time segments division by a hour for a period, secondly It is to determine that selection meets the evaluation index of mixing public transport vehicle public bus network, this index is used to judge public bus network passenger demand In different periods diversity, the change of passenger loading quantity is the most direct index of reflection passenger demand amount fluctuation to amount, this One data extracting directly from bus operation enterprise ic card database of record obtains;In addition to passenger loading number, passenger's milimeter number Also serve as auxiliary characteristicss for weighing passenger demand situation, according to based on passenger's ic card data and taking advantage of that driving gps data obtains Objective od anti-knot fruit, estimates this index of passenger's milimeter number, then the ridership to this each period of public bus network and passenger's kilometer Number carries out variance calculating, respectively obtains ridership variance and passenger's milimeter number variance, it is weighted averagely, flat according to weighting Average, the operation practical situation of comprehensive analysis public bus network, determine if to meet mixing public transport vehicle operation mode;
2) run practical situation according to different periods, determine each bus operation period parameters, i.e. the carrying of different periods public transport target Rate, minimum and maximum bus departure interval, facilitate the establishment of next step transit scheduling;
3) determine normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode respectively, considered Cost have: bus operation cost, passenger waiting time cost, passenger in-car time cost;
4) contrast two kinds of operation mode long-run cost rates, select the long-run cost rate lower departure interval under both of which, Determine operation vehicle and the time of departure of next class of public transport;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable scheme.
2. control method according to claim 1, is characterized in that, described bus operation period parameters include: crowding, Minimum departure interval, maximum departure interval, passenger's unit in-car time cost, passenger's unit waiting time cost, unit labor cost Cost, normal capacity vehicle buses unit distance cost, low capacity vehicle buses unit distance cost.
3. control method according to claim 1, is characterized in that, described step 3 specifically includes:
The first step: make δ ti+1=δ tmax, calculate site k and its adjacent sites passenger inside the vehicle number p under this departure intervali+1,k, And determine passenger inside the vehicle's number maximum p in this casemax
Second step: normal capacity vehicle buses are judgedWherein: slFor normal capacity vehicle buses seat Number, δ is designated vehicle crowding;
3rd step: when no, then make δ ti+1=δ ti+1-1;
4th step: when being, then calculate next regular bus passenger waiting time cost of normal capacity vehicle buses, in-car time cost And operation cost sumAnd try to achieveValue;
In-car time cost is determined with journey time by passenger inside the vehicle's number in adjacent two website stroke, Wherein:It is δ t for i+1 regular bus in the departure intervali+1In the case of passenger in-car Time sum;c1For passenger's unit in-car time cost;It is δ t for i+1 regular bus in the departure intervali+1In the case of Site k passenger inside the vehicle's number between website k+1;It is δ t for i+1 regular bus in the departure intervali+1In the case of site k The vehicle travel time between website k+1;
Passenger waiting time cost was determined by get on the bus ridership and average latency of each website,Wherein:It is δ t for i+1 regular bus in the departure intervali+1Feelings Passenger waiting time sum under condition;c2For passenger's unit waiting time cost;For i+1 regular bus in the departure interval it is δti+1In the case of site k get on the bus ridership;It is δ t for i+1 regular bus in the departure intervali+1In the case of site k take advantage of The objective average latency;
Operation cost is determined by vehicle overall travel time, operating range and type of vehicle, and it is relevant with running time for being divided into Cost of labor and the vehicle cost related to stroke distances, including fuel cost, abrasion cost,Wherein:It is δ t for i+1 regular bus in the departure intervali+1Feelings Normal capacity vehicle buses operation cost under condition;c3For unit cost of labor;c4For unit distance costs, skFor site k and its The distance of adjacent sites.
4. control method according to claim 3, is characterized in that, described step 4 specifically includes:
A: make δ ti+1=δ ti+1- 1, proceed to the first step, until δ ti+1=δ tmin
B: selectTime interval corresponding to minima is next regular bus departure interval of normal capacity vehicle buses;Right In low capacity vehicle buses with its next regular bus departure interval of identical computational methods;RelativelyOptimal value with Optimal value, when the former is little, then next regular bus adopts normal capacity vehicle buses, and otherwise next regular bus adopts low capacity vehicle public Hand over car.
5. a kind of control system realizing arbitrary methods described in Claims 1 to 4 is it is characterised in that include: public bus network is drawn Sub-module, assessment indicator system module, hybrid bus departure interval module, wherein:
Described public bus network division module includes: taxon, conventional vehicle departure interval control unit and low capacity vehicle Departure interval control unit, wherein: taxon is connected with public traffic information system, will receive passenger demand information classification is height Peak and flat peak two parts, and export single to conventional vehicle departure interval control unit and the control of low capacity vehicle departure interval respectively Unit;Conventional vehicle departure interval control unit is connected with assessment indicator system determining module, and transmits initial normal capacity vehicle Operation mode departure interval information;Low capacity vehicle departure interval control unit is connected with assessment indicator system determining module, and Transmit initial low capacity vehicle operation mode departure interval information;
Described assessment indicator system module includes: bus operation cost determination unit, passenger waiting time determining unit, passenger In-car time determining unit, vehicle crowding determining unit, wherein: bus operation cost determination unit and departure interval control single Unit is connected and transmits bus operation cost information, and passenger waiting time determining unit is connected with departure interval control unit and transmits Passenger waiting time and corresponding time cost information, passenger's in-car time determining unit is connected with departure interval control unit and passes Defeated passenger's riding time and corresponding time cost information, vehicle crowding determining unit is connected with departure interval control unit and passes Defeated passenger inside the vehicle's number and vehicle congestion information;
Described hybrid bus departure interval module includes: conventional vehicle bus departure interval determining unit, low capacity car Type buses departure interval determining unit, comparative research unit, wherein: conventional vehicle bus departure interval determining unit with Comparative research unit is connected and transmits conventional vehicle bus departure interval and cost information of dispatching a car, low capacity vehicle buses Departure interval determining unit is connected with comparative research unit and transmits low capacity vehicle bus departure interval and cost of dispatching a car Information, comparative research unit exports the vehicle information of next class of buses;
Described bus operation cost determination unit processes bus operation cost information, particularly as follows:Wherein:It is δ t for i+1 regular bus in the departure intervali+1Feelings Normal capacity vehicle buses operation cost under condition;c3For unit cost of labor;c4For unit distance costs;skFor site k and its The distance of adjacent sites;The information source being gathered is public transport company's operation data, exports bus operation cost information after its process To departure interval determining unit;
Described passenger waiting time determining unit processes passenger waiting time information, particularly as follows:Wherein:It is δ t for i+1 regular bus in the departure intervali+1Situation Lower passenger waiting time sum;c2For passenger's unit waiting time cost;It is δ for i+1 regular bus in the departure interval ti+1In the case of site k get on the bus ridership;It is δ t for i+1 regular bus in the departure intervali+1In the case of site k passenger Average latency;The information source being gathered is that the website that investigation obtains is got on the bus ridership and average latency, after its process Output passenger's average latency and corresponding time cost information are to hybrid bus departure interval module;
Described passenger's in-car time determining unit processes passenger's riding time information, particularly as follows:Wherein:It is δ t for i+1 regular bus in the departure intervali+1Situation Time sum in lower passenger car;c1For passenger's unit in-car time cost;It is δ for i+1 regular bus in the departure interval ti+1In the case of site k passenger inside the vehicle's number between website k+1;It is δ t for i+1 regular bus in the departure intervali+1Feelings Site k vehicle travel time between website k+1 under condition;The information source being gathered runs historical data for public bus network day part And passenger demand data, after its process, output passenger's riding time and corresponding time cost information are to a hybrid bus departure Interval module;
Described vehicle crowding determining unit processes the vehicle degree of crowding and passenger inside the vehicle's number information, particularly as follows:Its Middle pmaxFor passenger inside the vehicle's number maximum;slFor bus seat digit;δ is vehicle crowding;The information source being gathered is buses Shape parameter and passenger inside the vehicle's statistical data, after its process, the output vehicle degree of crowding and passenger inside the vehicle's number information are to a hybrid Bus departure interval module.
6. system according to claim 5, is characterized in that, described taxon processes bus passenger demand information, tool Body by: processing gathered information source is public bus network passenger demand amount historical data, meets mixing buses by receive The public bus network information of type, is divided into significant difference and the not notable two parts of difference by peak and low ebb phase passenger flow difference size, It exports public transport classification information to departure interval control unit after processing;
Described conventional vehicle departure interval control unit determines regular public traffic minimum departure interval δ tminAnd the maximum departure interval δtmaxTask, to assessment indicator system determining module export normal capacity vehicle operation mode departure interval information;
Described low capacity vehicle departure interval control unit determines the task of small-sized public transport minimum and maximum departure interval, Xiang Ping Valency index system determining module exports low capacity vehicle operation mode departure interval information.
7. system according to claim 5, is characterized in that, described conventional vehicle bus departure interval determining unit is processed Conventional vehicle bus departure interval information process work, if i-th class of buses frequency is ti, total period a length of t, next class The buses departure interval is δ ti+1, regular public traffic minimum departure interval δ tminAnd maximum departure interval δ tmax, make δ ti+1= δtmax, judge vehicle congestion state using vehicle crowding determining unit, when being, then calculate under normal capacity vehicle buses One regular bus passenger waiting time cost, in-car time cost and operation cost sumAnd try to achieveValue; When no, then make δ ti+1=δ ti+1- 1, rejudge vehicle congestion state, until δ ti+1=δ tmin;It exports after processingInformation is to comparative research unit;
Described low capacity vehicle bus departure interval determining unit processes conventional vehicle bus departure interval information, particularly as follows: If i-th class of buses frequency is ti, total period a length of t, next class of buses departure interval is δ ti+1, small-sized public transport is Little departure interval δ tminAnd maximum departure interval δ tmax, make δ ti+1=δ tmax, judged using vehicle crowding determining unit Vehicle congestion state, when being, then calculates next regular bus passenger waiting time cost of low capacity vehicle buses, in-car time cost And operation cost sumAnd try to achieveValue;When no, then make δ ti+1=δ ti+1- 1, rejudge vehicle Congestion state, until δ ti+1=δ tmin;It exports after processingInformation is to comparative research unit;
Described comparative research unit comparesOptimal value withThe work of optimal value, when the former is little, then under One regular bus adopts normal capacity vehicle buses, and otherwise next regular bus adopts low capacity vehicle buses.
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