CN106897791A - A kind of public transport subway composite network model building method - Google Patents
A kind of public transport subway composite network model building method Download PDFInfo
- Publication number
- CN106897791A CN106897791A CN201710009947.2A CN201710009947A CN106897791A CN 106897791 A CN106897791 A CN 106897791A CN 201710009947 A CN201710009947 A CN 201710009947A CN 106897791 A CN106897791 A CN 106897791A
- Authority
- CN
- China
- Prior art keywords
- subway
- network
- station
- public transport
- website
- 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.)
- Granted
Links
- 239000002131 composite material Substances 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000010410 layer Substances 0.000 claims abstract description 22
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 239000011229 interlayer Substances 0.000 claims abstract description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 8
- 230000009184 walking Effects 0.000 claims description 6
- 229910052742 iron Inorganic materials 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000011065 in-situ storage Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 abstract description 5
- 230000000052 comparative effect Effects 0.000 abstract 1
- 150000001875 compounds Chemical class 0.000 abstract 1
- 230000004927 fusion Effects 0.000 abstract 1
- 238000012913 prioritisation Methods 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 238000012546 transfer Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 239000002356 single layer Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of public transport subway composite network model building method, an optimal model parameter d can be obtained in the average cluster coefficient and average path length of the condition of having no right and the weighted average path length of weighting conditions lower network by Integrated comparative composite network.Implementation step is:First according to double-layer network model construction public transport subway double-layer network, the connection between the existing internal nodes of network of double-layer network also has the connection of network interlayer.When subway network is compound in public traffic network, it would be desirable to process node mapping (fusion of the node mapping comprising node with newly-built) and company side reconnects, wherein connect reconnecting for side influenceed by model parameter d.Compare the parameter of composite network under the conditions of different d values, it may be determined that the optimal value of d.Optimal model parameter d causes that public transport and subway are reasonably engaged togather, and that improves passenger goes out line efficiency.
Description
Technical field
The present invention relates to public traffic network technical field, particularly a kind of public transport subway composite network model construction side
Method.
Background technology
Urban public transport is the important component of Urban Transportation, with the continuous propulsion of urbanization process and people
Mouthful be continuously increased, contradiction between the development of urban public transport and the increasingly increased transport need of city dweller,
These traffic problems have also had a strong impact on the economic construction in city and the operational efficiency in city.In recent years, public affairs are carried out energetically by China
Strategy is first developed in friendship, is progressively developed into be key overall transportation system with track traffic based on traffic above-ground.
Therefore, the linking between public transport and subway is directly connected to the conevying efficiency of whole public transport subway network.
The public traffic network achievement in research for being currently based on Complex Networks Theory is very abundant, and existing single layer network also has multilayer
The research of network facet.The research of single layer network is studied primarily directed to single public traffic network or subway network etc.,
The research of double-layer network is also single public traffic network to be abstracted into the physical layer based on road network and the logical layer based on wagon flow enters
Row research.A global network comprising public transport and subway information is not set up in these researchs, it is impossible to whole public transport
Network is analyzed.
Existing public transport subway composite network construction method is carrying out when node maps being also the presence of those simultaneously
Same website is merged into the bus station in somewhere and subway station, public transport and the linking of subway are exactly based on the generation of these websites
's.Subway is built in public traffic network as basic routing line, and its travel speed is high, Waiting time is short and delivery energy
Power is all by force that public transport to be compared.But the website that another aspect subway can be reached is limited after all, outside basic routing line
Website public bus network is needed for cover, therefore the combination of subway and public transport can make the trip of people more efficient, reachable
Property is more preferable.There are a large amount of mutual transfers between public transport and subway, this transfer not only exists only in those and there are public affairs simultaneously
The place of website and subway station is handed over, a subway station influences whether a range of many bus stations around it.Such as
Fruit have ignored those walkings one only using the simultaneous website in bus station and subway station as public transport and the connecting points of subway
The situation that segment distance is mutually changed to, this is invisible to reduce a coverage for subway station, is had differences with actual conditions.
The content of the invention
The technical problems to be solved by the invention are to overcome the deficiencies in the prior art and provide a kind of public transport subway composite web
Network model building method, by the structure of composite network, can obtain the totality of the urban public transport based on public transport and subway
Situation, optimal model parameter d causes that public transport and subway are reasonably engaged togather, and that improves passenger goes out line efficiency.
The present invention uses following technical scheme to solve above-mentioned technical problem:
According to a kind of public transport subway composite network model building method proposed by the present invention, comprise the following steps:
Step 1) public transport, subway double-layer network are set up according to current public transport subway data, one layer is constituted for bus station
Public traffic network, another layer be subway station constitute subway network;If distance is less than pre- between bus station and subway station
If threshold value d, then have between the two websites even side, when this connects the company of network interlayer in as double-layer network;
Step 2) double-layer network is complex as the composite network of individual layer, it is specific as follows:
The subway station that will have even side in subway network with public traffic network is classified as A class websites, and remaining subway station is classified as B
Class website;
A class websites are mapped in public traffic network:The bus station that each A classes website has even side with it is combined, with A classes
Website has Lian Bian and the bus station nearest apart from the A class websites is used as spot;
B class websites are mapped in public traffic network, i.e., a newly-built website represents the subway station in public traffic network;
Step 3) treat the mapping of all of website after the completion of, to being combined after website addition even side, it is specific as follows:After mapping
The subway station company of addition side in composite network according to the annexation in its in situ iron net network, if same in composite network
When there are two existing public transport of website and connect while and be then complex as same when thering is subway to connect and connect side, each subway station is preset with it
In the range of bus station connection;
So as to obtain a composite network comprising public transport, subway data, and then calculate the average cluster of composite network
Coefficient and average path length;
Step 4) weights are assigned according to the near linear distance between adjacent sites and even in the company during classification is composite network,
Calculate the weighted average path length of composite network;
Step 5) model parameter d is varied multiple times, often change a model parameter d, then it is repeated once step 3~4;Than less
With the weighted average path length and the average cluster coefficient peace of step 3 gained composite network of composite network under the conditions of d values
Equal path length, determines optimal model parameter d.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, step 4
Near linear between middle adjacent sites is apart from computing formula:
Wherein, dis12It is the near linear distance between adjacent sites;Long1、Lat1Respectively 1 longitude and latitude of website
Degree, Long2、Lat2The longitude and latitude of another respectively adjacent website;R is earth radius.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, R values
It is 6370.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, the step
Weights in rapid 4 are specific as follows:
Near linear distance between adjacent sites includes near linear distance, the subway station of bus station and bus station
With the near linear distance of subway station and the near linear distance of bus station and subway station;Wherein,
If the weights that adjacent bus station connects side are the near linear distance between adjacent bus station, adjacent subway station connects
The weights on side are the near linear distance between adjacent subway station;
If bus station is with the weights on the company side of subway stationWherein, dis12For subway station is preset with it
In the range of the distance between each bus station, W be constant and be bus average walking of the average overall travel speed with people
The ratio of speed.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, adjacent public affairs
Hand over the near linear distance between website between 0.5km~1.0km, the near linear distance between adjacent subway station is in 1.0km
Between~2.0km, the value of model parameter d is between 0~1km.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, W values
It is 8.
As a kind of further prioritization scheme of public transport subway composite network model building method of the present invention, step 4
Middle near linear distance is obtained by the calculation of longitude & latitude of website.
The present invention uses above technical scheme compared with prior art, with following technique effect:
(1) overall network comprising public transport and subway data is constructed rather than to single public transport or subway network
It is analyzed;
(2) public traffic network and subway network are incorporated into a network, the transfer that can be carried out between public transport and subway is ground
Study carefully;
(3) optimal model parameter d causes that public transport and subway are reasonably engaged togather, and that improves passenger goes out line efficiency.
Brief description of the drawings
Fig. 1 is schematic diagram of the double-layer network model to the evolution of composite network model in the present invention.
Fig. 2 is the flow chart of structure public transport subway composite network model in the present invention.
Specific embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings:
As shown in Fig. 2 the method is comprised the following steps:
Step 1), set up public transport, subway double-layer network.
In order to more intuitively explicitly go out actual effect of the invention, using the present invention in Nanjing City public transport MTR network
Network.Wherein public transport, subway data are the public transport subway data of Nanjing City.
Step 2), the subway station that will have even side in subway network with public traffic network is classified as A class websites, and remaining is classified as B
Class is that those do not have interlayer to connect the subway station on side.
This step master is to be processed to be how subway station is mapped to public traffic network to build composite network.If certain
There is bus station and subway station simultaneously in place, then just by corresponding public affairs when the subway station is mapped to public traffic network
Website is handed over to replace, then the website has the annexation of bus station and subway station concurrently;Otherwise, it is necessary to new in public traffic network
A website is built to represent subway station.
Fig. 1 be in the present invention double-layer network model to the evolution of composite network model schematic diagram, in double-layer network, network
The connection of interlayer appears in those existing bus stations the place of subway station again, i.e., A1 and G1, A2 and G3 in figure, A1 this
When class website is mapped in public traffic network, A1 and G1 is complex as same website, i.e., need not add extra website
Represent A1 websites.The bus station that B1 is not attached thereto in public traffic network, it is necessary to set up a website to represent the subway
Website.
Step 3), it is reconnecting for side that this step master is to be processed, and reconnecting for side is broadly divided into two classes.
I. after the mapping that step 2 has processed subway station, it would be desirable to enter according to the original annexation in subway station
Even therefore side occurs that those represent the node that bus station represents subway station again to row, and these nodes can have public transport and ground concurrently
The annexation of iron.
II. construction cost and its conveniently feature in view of subway, a coverage for subway station can compare
Relatively extensively, and somewhere there is bus station simultaneously and the situation of subway station is few.In most cases with subway station phase
Place away from certain distance is dispersed with some bus stations, these bus stations and the subway station be connected in the absence of real but
There is the transfer between these bus stations and the subway station again in real life.Therefore, build composite network when
The present invention is waited to take into account this relation.Present invention provide that centered on subway station, radius is that (span is arrived d for 0
What bus station and the subway station in the range of 1km) were connected to, therefore addition even side is needed between these nodes.
Step 4), the near linear distance that the weights on side are depended between adjacent sites is connected in network, the distance can be by station
The calculation of longitude & latitude of point is obtained;
Step 5), be that power is assigned on company side in composite network according to the distance and classification between adjacent sites, calculating network plus
Weight average path length;
The weights for connecting side in composite network are influenced by two factors, and one is distance between adjacent sites, and another is
The classification of adjacent sites.Wherein bus station-bus station, subway station-subway station they be all same type of website and
Connection is physical presence, therefore its weights is exactly the distance between adjacent sites.For bus station-subway station, this is different
Connection and this connection between types of sites are not actually existed, in order to by this kind of situation and two kinds of other situation phase regions
Point, the weight that bus station-subway station connects side introduces the effect of d and constant W.The bigger public transport being connected with subway station of d
Website is more, and the connectivity of composite network is better, and at the same time d is bigger, and the distance of walking is also got over, when its value is walked more than people
Row institute it is receptible apart from when, this connection also just it is nonsensical.This patent is it is determined that need when optimal model parameter d
Result of both considering:
I. step 3 can obtain a composite network had no right after terminating, and the value of d can directly affect the poly- of composite network
Class coefficient and average path length, with d increase network cluster coefficients can it is increasing illustrate website between connection it is tighter
It is close;Average path length can also reduce with the increase of d, illustrate that the website number passed through during trip can be reduced, and this is that d increases
The big favourable change for bringing.
Ii. analysis can obtain d and can not continue to increase, therefore this patent adds the factor of weight to suppress the increase of d.D's
The such even side of bus station-subway station increases during increase can cause network, and the weights on this even side are very big, finally
Cause the weight_length obtained by calculatingavgThe value of (network weights average path length) is also bigger, and we are intended to
Take less value.
Comprehensively have no right influences and weighted network of the model parameter d to network clustering coefficient and network average path in network
Influences of the middle d to network weights average path, can obtain optimal model parameter d.
Distance parameter d in model determines the scope that subway station can influence.D is bigger, and its coverage is also bigger,
But d value more than people be ready walking apart from when the model just do not conform to the actual conditions, present invention provide that the value of d is 0 to 1
Between, after the value of d is more than 1km, people are unwilling that walking distance so long is changed to.Side right is carried out assignment when
Wait, the weight on even side this kind of to bus station-subway station is distinguished, the weight on this kind of even side is very big, as model parameter d
Value increase when composite network in it is this kind of even side will increase, the composite network weighted average path length being calculated
Value is bigger.
Those skilled in the art of the present technique it is understood that unless otherwise defined, all terms used herein (including skill
Art term and scientific terminology) have with art of the present invention in those of ordinary skill general understanding identical meaning.Also
It should be understood that those terms defined in such as general dictionary should be understood that with the context of prior art in
The consistent meaning of meaning, and unless defined as here, will not be explained with idealization or excessively formal implication.
Above-described specific embodiment, has been carried out further to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail, should be understood that and the foregoing is only specific embodiment of the invention, be not limited to this hair
Bright, all any modification, equivalent substitution and improvements within the spirit and principles in the present invention, done etc. should be included in the present invention
Protection domain within.
Claims (7)
1. a kind of public transport subway composite network model building method, it is characterised in that comprise the following steps:
Step 1) set up public transport, subway double-layer network, one layer of public affairs constituted for bus station according to current public transport subway data
Network is handed over, another layer is the subway network that subway station is constituted;If distance is less than default between bus station and subway station
Threshold value d, then have even side between the two websites, when this connects the company of network interlayer in as double-layer network;
Step 2) double-layer network is complex as the composite network of individual layer, it is specific as follows:
The subway station that will have even side in subway network with public traffic network is classified as A class websites, and remaining subway station is classified as B classes station
Point;
A class websites are mapped in public traffic network:The bus station that each A classes website has even side with it is combined, with A class websites
There is Lian Bian and the bus station nearest apart from the A class websites is used as spot;
B class websites are mapped in public traffic network, i.e., a newly-built website represents the subway station in public traffic network;
Step 3) treat the mapping of all of website after the completion of, to being combined after website addition even side, it is specific as follows:Subway after mapping
The website company of addition side in composite network according to the annexation in its in situ iron net network, if deposited simultaneously in composite network
Connect while and be then complex as same when thering is subway to connect in two existing public transport of website and connect side, each subway station and its preset range
Interior bus station connection;
So as to obtain a composite network comprising public transport, subway data, and then calculate the average cluster coefficient of composite network
And average path length;
Step 4) weights are assigned according to the near linear distance between adjacent sites and even in the company during classification is composite network, calculate
The weighted average path length of composite network;
Step 5) model parameter d is varied multiple times, often change a model parameter d, then it is repeated once step 3~4;Compare different d
The average cluster coefficient and average road of the weighted average path length of composite network and step 3 gained composite network under the conditions of value
Electrical path length, determines optimal model parameter d.
2. a kind of public transport subway composite network model building method according to claim 1, it is characterised in that in step 4
Near linear between adjacent sites is apart from computing formula:
Wherein, dis12It is the near linear distance between adjacent sites;Long1、Lat1Respectively 1 longitude and latitude of website,
Long2、Lat2The longitude and latitude of another respectively adjacent website;R is earth radius.
3. a kind of public transport subway composite network model building method according to claim 2, it is characterised in that R values are
6370。
4. a kind of public transport subway composite network model building method according to claim 2, it is characterised in that the step
Weights in 4 are specific as follows:
Near linear distance between adjacent sites includes near linear distance, subway station and the ground of bus station and bus station
The near linear distance of iron website and the near linear distance of bus station and subway station;Wherein,
If the weights that adjacent bus station connects side are the near linear distance between adjacent bus station, adjacent subway station connects side
Weights are the near linear distance between adjacent subway station;
If bus station is with the weights on the company side of subway stationWherein, dis12It is subway station and its preset range
The distance between each interior bus station, W is constant and is the average overall travel speed of bus and the average walking speed of people
Ratio.
5. a kind of public transport subway composite network model building method according to patent requirements 4, it is characterised in that adjacent public transport
Near linear distance between website between 0.5km~1.0km, near linear distance between adjacent subway station 1.0km~
Between 2.0km, the value of model parameter d is between 0~1km.
6. a kind of public transport subway composite network model building method according to claim 4, it is characterised in that W values are
8。
7. a kind of public transport subway composite network model building method according to claim 1, it is characterised in that in step 4
Near linear distance is obtained by the calculation of longitude & latitude of website.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710009947.2A CN106897791B (en) | 2017-01-06 | 2017-01-06 | Method for constructing public transport subway composite network model |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710009947.2A CN106897791B (en) | 2017-01-06 | 2017-01-06 | Method for constructing public transport subway composite network model |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106897791A true CN106897791A (en) | 2017-06-27 |
CN106897791B CN106897791B (en) | 2020-05-12 |
Family
ID=59198362
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710009947.2A Active CN106897791B (en) | 2017-01-06 | 2017-01-06 | Method for constructing public transport subway composite network model |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106897791B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107563028A (en) * | 2017-08-22 | 2018-01-09 | 南京邮电大学 | A kind of public transport subway coupling network construction method based on spatial network |
CN109544927A (en) * | 2018-12-10 | 2019-03-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
CN109871874A (en) * | 2019-01-21 | 2019-06-11 | 华南理工大学 | Subway changes to public transport Activity recognition method, system, computer equipment and storage medium |
CN112529292A (en) * | 2020-12-11 | 2021-03-19 | 重庆邮电大学 | Traffic network line optimization method based on improved Floyd algorithm |
CN115497326A (en) * | 2022-11-21 | 2022-12-20 | 南京邮电大学 | Multi-mode bus travel path planning method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1154389A1 (en) * | 2000-05-10 | 2001-11-14 | DaimlerChrysler AG | Method to determine the traffic situation in a road network |
CN104200650A (en) * | 2014-08-27 | 2014-12-10 | 浙江工业大学 | Multimode public transportation transferring method in urban congestion period |
CN106294869A (en) * | 2016-08-23 | 2017-01-04 | 浙江工业大学 | Public transport network modeling method with public bicycle subnets based on space network |
-
2017
- 2017-01-06 CN CN201710009947.2A patent/CN106897791B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1154389A1 (en) * | 2000-05-10 | 2001-11-14 | DaimlerChrysler AG | Method to determine the traffic situation in a road network |
CN104200650A (en) * | 2014-08-27 | 2014-12-10 | 浙江工业大学 | Multimode public transportation transferring method in urban congestion period |
CN106294869A (en) * | 2016-08-23 | 2017-01-04 | 浙江工业大学 | Public transport network modeling method with public bicycle subnets based on space network |
Non-Patent Citations (3)
Title |
---|
JIANWEI ZHANG;ETAL: "A multimodal transport network model for advanced traveler information system", 《PROCEDIA COMPUTER SCIENCE》 * |
徐勇 等: "公交地铁一体化下的网络模型与最优路选择算法", 《智能***学报》 * |
罗艺 等: "公交-地铁复合网络构建及网络特性分析", 《交通运输***工程与信息》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107563028A (en) * | 2017-08-22 | 2018-01-09 | 南京邮电大学 | A kind of public transport subway coupling network construction method based on spatial network |
CN107563028B (en) * | 2017-08-22 | 2020-09-08 | 南京邮电大学 | Public transport-subway coupling network construction method based on space network |
CN109544927A (en) * | 2018-12-10 | 2019-03-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
CN109544927B (en) * | 2018-12-10 | 2019-11-29 | 中南大学 | A kind of multitiered network collaboration restricted driving method |
CN109871874A (en) * | 2019-01-21 | 2019-06-11 | 华南理工大学 | Subway changes to public transport Activity recognition method, system, computer equipment and storage medium |
CN112529292A (en) * | 2020-12-11 | 2021-03-19 | 重庆邮电大学 | Traffic network line optimization method based on improved Floyd algorithm |
CN115497326A (en) * | 2022-11-21 | 2022-12-20 | 南京邮电大学 | Multi-mode bus travel path planning method |
Also Published As
Publication number | Publication date |
---|---|
CN106897791B (en) | 2020-05-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106897791A (en) | A kind of public transport subway composite network model building method | |
CN104200650B (en) | Multimode public transportation transferring method in urban congestion period | |
CN104881710A (en) | Urban express delivering method based on vehicle self-organized network | |
CN108647802B (en) | Anti-congestion method based on double-layer traffic network model | |
CN112580176B (en) | Three-layer complex traffic network model construction method, system, equipment and storage medium | |
CN104217086A (en) | Urban public transport network optimization method | |
CN106203725A (en) | Door-to-door trip route scheme personalized recommendation method based on heuristic search | |
CN105050095B (en) | A kind of topological construction method of the heterogeneous wireless sensor net based on energy predicting | |
CN107092986A (en) | The bus passenger travel route choice method based on website and collinearly run | |
CN103413433A (en) | Traffic-jam bus transferring method based on passenger flow volume information | |
CN101159966A (en) | Peer-to-peer network topology matching method in mobile environment | |
CN103248688B (en) | Access control method of vehicle-mounted intelligent terminal | |
CN105160429B (en) | It is a kind of that there is the multi-mode Public Transport Transfer method for virtually changing to micro- hinge | |
CN113408790A (en) | Modular vehicle operation path and combination strategy collaborative optimization method and system | |
CN115169795A (en) | Method and device for evaluating importance of site | |
CN106330541A (en) | Method for predicting unknown connection edges of network based on second-order local community and preference connection | |
CN106303901A (en) | In a kind of wireless sense network, infallible data based on collaborative filtering merges optimization method | |
CN113946924A (en) | Method for identifying key repair node in transportation network based on double-layer coupling complex network | |
Fadhly et al. | implementation of transit oriented development in handling congestion effect on urban sprawl phenomenon and traffic growth in Banda Aceh | |
CN113723859B (en) | Method for evaluating stability of multi-layer urban group comprehensive passenger transport network | |
CN107800771A (en) | Tramcar and shared bicycle integrated transfer system | |
Sun et al. | Research on intelligent guidance optimal path of shared car charging in the IOT environment | |
Shao et al. | Reorganizations of complex networks: Compounding and reducing | |
CN107679653A (en) | A kind of OD distribution methods based on advantage trip distance | |
CN106327012A (en) | Method for predicting unknown connected edges of network based on second-order local community and node degree information |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |