CN103531024B - Dynamic traffic network urban road feature model and modeling method thereof - Google Patents

Dynamic traffic network urban road feature model and modeling method thereof Download PDF

Info

Publication number
CN103531024B
CN103531024B CN201310518458.1A CN201310518458A CN103531024B CN 103531024 B CN103531024 B CN 103531024B CN 201310518458 A CN201310518458 A CN 201310518458A CN 103531024 B CN103531024 B CN 103531024B
Authority
CN
China
Prior art keywords
model
dynamic
traffic
road
vehicle
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.)
Active
Application number
CN201310518458.1A
Other languages
Chinese (zh)
Other versions
CN103531024A (en
Inventor
徐正全
王争鸣
王涛
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 Xu Yun Science And Technology Ltd
Original Assignee
Wuhan Xu Yun Science And Technology 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 Xu Yun Science And Technology Ltd filed Critical Wuhan Xu Yun Science And Technology Ltd
Priority to CN201310518458.1A priority Critical patent/CN103531024B/en
Publication of CN103531024A publication Critical patent/CN103531024A/en
Application granted granted Critical
Publication of CN103531024B publication Critical patent/CN103531024B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention discloses a dynamic traffic network urban road feature model and a modeling method thereof. The dynamic traffic network urban road feature model comprises a dynamic traffic network urban road model, a dynamic traffic network running model, a dynamic traffic urban vehicle model and a control center model. The invention aims to solve the problems of poor data consistency and incapacity of carrying out real-time dynamic regulation of a conventional urban traffic network data model, and provides a GIS-T (Geographic Information System for Transportation) data hierarchical model, and the dynamic traffic network urban road feature model is established. Compared with the conventional urban traffic network data model, the dynamic traffic network urban road feature model comprehensively describes urban traffic feature information from macroscopic view to microscopic view, realizes optimized expression of the feature model and optimization of a road network structure and realizes dynamic simulation and regulation of traffic objects.

Description

A kind of dynamic traffic network urban road feature model and modeling method thereof
Technical field
The present invention relates to geographic information system technology field, particularly relate to a kind of dynamic traffic network urban road feature model and modeling method thereof.
Background technology
Urban road network carries the task of country and urban development construction and running, is also the basic facilities of resident's routine work life.In big city, the problem such as ubiquitous traffic congestion, traffic safety, traffic pollution and traffic energy consumption more and more causes the attention of society.And urban transport problems can not depart from city space use mathematics physics model to simulate the motion of traffic flow and mutual with isolating, must in conjunction with the concept and methodology in space, could more effectively analyze and research traffic problems and the impact on city and whole road network thereof.
T-GIS: (GIS-T) is the important branch of Geographic Information Theory and technology, what be Geographic Information System (GIS) with multiple transport information treatment and analysis technology is integrated, it is the informationalized key foundation of road multi-mode system, from concept of space, modeling is carried out to traffic problems, using spatial statistics, the method for many feature models and combination thereof analyzes, is traffic study, the emerging direction of analysis and management and important applied field.The expression of transport information is of crucial importance in GIS-T, not only means of transportation management, the data structure that Traffic Information managerial demand is good, in the traffic application such as traffic network planning, intelligent navigation, trip information service, all need to expand traditional GIS data structure.Data are bases of GIS, and data model is then used to express the contact in GIS between data and logical organization form.Because transport information is of a great variety, differ from one another, need rational form tissue, therefore GIS-T data model be realize multiple dimensioned various dimensions dynamic traffic data merge, management and analysis and utilization Theory and technology basis.
GIS-T data be it is generally acknowledged and can be divided into three layers, i.e. road network layer, satellite information layer and transport information layer.Road net provides Data support for various network analysis function, for road satellite information and transport information provide geospatial reference, concrete data content comprises topological connected relation, road base attribute (title, length, width, address etc.), road traffic attribute (Performance Level, current direction, average speed etc.) etc. between road aggregate information, road.Road satellite information mainly comprises road affiliated facility (traffic sign, road sign, traffic lights, isolated column, bridge, charge station etc.), point of interest (hotel, school, hospital etc.) and linear properties (namely along the attribute that road linearly distributes, as public bus network etc.).Transport information comprises traffic restrictive condition and dynamic information.Traffic restriction comprises the direction of traffic restriction, vehicle-speed limit etc. of road itself in the general sense, and the current restriction (as turning to restriction) on crossing.Dynamic information includes telecommunication flow information, traffic event information and mobile object information.Telecommunication flow information is the macroscopical road traffic condition by the reaction such as flow, speed.Mobile object mainly refers to the participant of traffic behavior, as vehicle, pedestrian.
In existing transportation data model, node-arc segment model is that road network the most frequently used in traffic system is expressed, and node is for expressing various forms of road intercommunication crossing, and segmental arc is then for expressing road segment segment.In actual applications, due to the restriction in road direction, the segmental arc often utilizing two directions contrary is to represent two-way road or to flow to different parallel roads.Turn to mark and GO TO table to be used for recording all direction information of crossing, one turns to record to enter segmental arc and one by one to leave segmental arc and define.Node-arc segment model is based upon on the basis of graph theory, be simple and easy to use, support high-level efficiency network analysis, but the feature of plane strengthening makes complete road interrupt at Nodes, road is caused to lose complete semantic feature, be difficult to the problem such as segmentation attribute, website of linear orientation and process road, when expressing multimodel traffic network, its deficiency seems particularly evident (see document 1).Non-planar data model abandons plane strengthening process, does not require that intersection place must produce node, is stored by entire road as a geometric object, avoids impossible in the generation of non-topological node and Stereo-traffic network turning to.(see document 2).But node-arc segment model linear orientation is difficult, the many-one relationship difficulty of process key element-attribute.
Line property model is on the basis of node-arc segment model, by determining the position (see document 3) of any location point on linear feature to the Distance geometry direction of known point, dynamic segmentation data model gives up attribute and segmental arc, node one-to-one relationship, attribute is separated from node-arc section topological structure, utilize path, section and these three Topological data structure fundamentals of event, segmentation attribute and the multiple attributes of linear key element can be expressed well, realize the bidirectional inquiry between geometric data and attribute data, for linear position is with reference to build path system, substantially increase the processing power (see document 4) of GIS to linear data.
The traffic characteristics of urban road network is often closely related with track, data model needs to define independently track entity, and describes between parallel track and impedance that turning point, the connected relation between turnover track, the current impedance on track and restriction, track turn to and restriction etc.Data model based on track generally has two kinds, and one is with real track for basic modeling target, and two is for basic modeling target with runway or comprehensive track.Data model based on real track builds track by dynamic segmental technology, each track is stored as an independent path, and describes the connected relation (see document 5) between the connected relation peace runway between the lateral position in track, track, turning point place.Driveway corresponds to the obstructed travel direction of road, can be considered as same path link to and can track comprehensive of intercommunication at any time, i.e. comprehensive track.Based on the data model of driveway using driveway as basic modeling unit, the semantic relation of itself and road is stored in attribute, both consider the difference of same road different directions lane traffic feature, remain again topological connection relation between track geometric data and track (see document 6).
GIS-T Spatio-Temporal Data Model for Spatial is on the basis integrating linear data model and track data model, consider the factor such as congestion level, road speed, introducing elevation dimension (third dimension) and time dimension (fourth dimension) describe dynamic multidimensional traffic, realize the space-time management of means of transportation, and road net, transport information are expressed (see document 7) with the integrated of mobile object (comprising vehicle, pedestrian etc.).
Comprehensive analysis, there is following problem in current transportation data model:
(1) there is the problem of data consistency in traditional GIS-T data hierarchy model, and transportation data model mainly realizes the object of navigating, and more weak to the analytical performance of traffic circulation ability.
(2) traditional road net model is static and generates according to the simulation of actual road conditions, and model, once generate, change the attribute of a certain key element, then need to regenerate model, does not have dynamic or dynamic is poor, cannot adjust in real time and contrast.
Summary of the invention
The technical problem to be solved in the present invention is, for defect of the prior art, to provide a kind of dynamic traffic network urban road feature model and modeling method thereof.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of dynamic traffic road network urban highway traffic feature model, described dynamic traffic road network urban highway traffic feature model comprises dynamic traffic road network urban traffic network model, dynamic traffic road network intervention model, dynamic traffic road network moving model and control center's model;
Described dynamic traffic road network urban traffic network model, the infrastructure relied on for Dynamic profiling operation urban transportation and topological relation thereof, comprising:
Dynamic traffic road network module, for representing road type and direction, for Dynamic profiling one-way road road, two ways road, the road net key elements such as bend, in model, road adopts the elastic construction that section splicing extends, and joint adopts stretch mode docking;
Dynamic intercommunication crossing module, connects the cross junction of one-way road road and two ways road, T-shaped crossing, the intersection such as traffic circle and humanoid crossing for Dynamic profiling;
Dynamic pedestrian passageway wire module, crosses diatom and position thereof and structure for Dynamic profiling People's Bank of China;
Dynamic signal indicating lamp module, for Dynamic profiling crossing signals pilot lamp and section signal lamp, controls for carrying out artificial and based on algorithm management able to programme to the state of signal lamp; Signal lamp parameter is made up of three fields: digital modulation, signal lamp, track pilot lamp;
Dynamic road Sign Board module, affects the Sign Board of urban road operation for Dynamic profiling;
Dynamic road connects separation facilities model, comprises dynamic viaduct, Dynamic Vehicle road vector cut-off rule, the contents such as dynamic isolation hurdle and dynamic stop line.For models such as Dynamic profiling viaduct, track vector cut-off rule, isolated column and stop lines;
Described dynamic traffic road network intervention model, affects the traffic rules of traffic circulation, comprehensive impedance and traffic events for Dynamic profiling, comprising:
Dynamic traffic rule database, travels rule for Dynamic profiling vehicle;
Dynamic traffic comprehensive impedance model, for the roadlock in Dynamic profiling and simulation traffic circulation and traffic delay factor;
Traffic events generation model, for describing all kinds of traffic hazard and accident;
Described dynamic traffic city road network moving model, for the various vehicle of Dynamic profiling and areal distribution, operation characteristic and trend etc., comprising:
Dynamic vehicle feature model, for the type, attribute etc. of each vehicle key element of Dynamic profiling; Comprise oversize vehicle series, medium sized vehicle series, dilly series.Often produce a car, produce the ID that this car is unique simultaneously.This model can according to the random generation of the needs of simulate effect or the setting thought be dissimilar, the vehicle of varying number is in the situation of road traveling;
Dynamic vehicle areal distribution model, for Dynamic profiling vehicle in each traffic zone distribution situation spatially; Divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time.This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event.
The distributed model of Forecast of Urban Traffic Flow, for Dynamic profiling magnitude of traffic flow distribution situation in time; Include the discharge model by commuter time distribution, have the discharge model built by rule of going on a journey festivals or holidays, have the magnitude of traffic flow distributed model by special season, (university reports for work season, spring outing autumn outing season etc.) occurred.
Dynamic city vehicle moving model, for the ruuning situation of Dynamic profiling vehicle, simulating vehicle trip feature and areal distribution, vehicle flow and variation tendency.Based on each feature model built, by perform vehicle operating generate with bury in oblivion module (nucleus module of dynamic city vehicle moving model), with the mutual scheduling of control center's model in realize running.
This model also according to analogy method and can judge that the needs of its effect are according to areal distribution model and the random generation of magnitude of traffic flow distributed model or artificial setting different running method with run type, and the vehicle of performance varying number is in the situation of road traveling.
This model can add up each car in working time on road surface, path and speed, simulates the trip feature of dissimilar vehicle and areal distribution, the wagon flow total amount of every bar road and variation tendency.
Control center's model, for obtaining overall traffic information, accepts operational vehicle request, according to overall operation present situation, is operational vehicle calculation optimization route scheme, is bound by new operation integrated data in request vehicle; Generate lamp system control data according to the various optimized algorithm of signal lamp, bind into lamp system; Comprise:
Log pattern, realizes the acquisition to historical operation, log information, preservation;
Administration module, realizes, to the management of all feature model parameter informations, providing the functions such as amendment, deletion, preservation, inquiry;
Monitoring module, realizes the visual tracking to each key element parameter state and change in conjunction with programmable GIS urban road traffic information database and dynamic operation storehouse;
Track module, display vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, check designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store.
By such scheme, dynamic traffic network urban road feature model also comprises dynamic traffic generation model, according to GIS urban transportation database able to programme and the Runtime Library of each feature model and generation, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management.Generation model has Run(to start), Pause(suspends) and Abort(exit) three operate, only under Pause and Abort state, can revise each feature model parameter, the log pattern of control center's model can record all operations in generating period.
A kind of step of dynamic traffic network urban road feature model modeling method:
(1) extract urban traffic road topological diagram according to city plan, generate GIS urban traffic road polar plot;
(2) with reference to urban traffic road topological diagram, according to GIS urban road network polar plot, build dynamic traffic road network urban traffic network model and build and GIS urban road network factor vector figure, comprise the following steps:
(2.1) build dynamic road net model according to GIS urban traffic road polar plot, described dynamic road net model is for representing road type and direction; Described dynamic road net model comprises dynamic one-way road road, the roads such as dynamic two ways, dynamic bend, and in model, road adopts the elastic construction that section splicing extends, and joint adopts stretch mode docking; Described road all has unique data structure, and can according to realistic simulation picture library by adjustment parameter change road shape and direction; The parameter of described part is shown in that concrete implementation section describes.
(2.2) build dynamic intercommunication crossing model according to urban traffic road topological diagram, comprise the dynamic cross junction connecting one-way road road and two ways road, dynamic T-shaped crossing, Dynamic Annular crossing and dynamic humanoid crossing; The equal setting direction lane line in each crossing, all has unique data structure, and can according to realistic simulation picture library adjustment parameter change intersection shape and direction.The parameter that described crossing comprises is shown in that concrete implementation section describes.
(2.3) build dynamic pedestrian passageway line model according to urban traffic road topological diagram, People's Bank of China crosses diatom and according to realistic simulation picture library adjustment parameter change position, dynamically interpolation and can delete; Described People's Bank of China crosses the parameter that diatom comprises and sees that concrete implementation section describes.
(2.4) dynamic signal indicating lamp model is built according to urban traffic road topological diagram, comprise dynamic crossing signals pilot lamp and dynamic section signal lamp,, can according to realistic simulation picture library adjustment dynamic state of parameters add and erasure signal pilot lamp, change pilot lamp operation; Signal lamp is made up of three parts: digital modulation, signal lamp (LED is arrowhead-shaped), track pilot lamp (changeable driveway type).The parameter of described part is shown in that concrete implementation section describes.
(2.5) build dynamic road Sign Board model according to urban traffic road topological diagram, main consideration affects the Sign Board that urban road runs, and Sign Board foundation realistic simulation picture library class is by the interpolation of adjustment dynamic state of parameters and delete; The parameter that described Sign Board comprises is shown in that concrete implementation section describes.
(2.6) build dynamic road according to urban traffic road topological diagram and connect separation facilities model, comprise dynamic flyover model, Dynamic Vehicle road vector cut-off rule model, dynamic isolation hurdle model and dynamic stop line model, can add according to realistic simulation picture library adjustment dynamic state of parameters and delete facility, change shape; The parameter of described part is shown in that concrete implementation section describes.
(3) building dynamic traffic road network intervention model according to affecting the traffic rules of traffic circulation, comprehensive impedance and traffic events, comprising the following steps,
(3.1) building dynamic traffic rule database according to traffic rules, travelling rule for providing vehicle;
(3.2) according to the roadlock factor in traffic circulation as irrational traffic network structure, traffic intersection structure, traffic road segment structure etc., dynamic traffic comprehensive impedance model is built as irrational traffic signals configure etc., roadlock when being hampered for vehicle in Dynamic profiling and simulation traffic circulation and traffic delay factor according to traffic delay factor;
(3.3) account for 1 road according to kind such as the traffic hazard of traffic hazard and accident, account for 1.5 roads, account for 2 roads, temporary traffic control, violate the traffic regulations turning, lane change, road occupying generation obstruction, the obstruction, traffic construction etc. of accident stream of people wagon flow build traffic events generation model, for describing all kinds of traffic hazard and accident to the change of road impedance etc.;
(4) according to type, the attribute of vehicle key element, build dynamic urban road network moving model according to city vehicle distributed model, Forecast of Urban Traffic Flow model and traffic circulation feature, comprise the following steps:
(4.1) according to type and the attribute of vehicle key element, build dynamic vehicle feature model, comprise oversize vehicle series, medium sized vehicle series, dilly series.Often produce a car, produce the ID that this car is unique simultaneously; This model can according to the situation of the vehicle of the random generation of the needs of simulate effect or, varying number dissimilar according to the setting that the needs of simulated target are artificial at road traveling;
(4.2) dynamic vehicle areal distribution model is built, divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time; This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event;
(4.3) distributed model of Forecast of Urban Traffic Flow is built.According to urban traffic control traffic circulation database data statistics, as vehicle driving tide rhythm, regular feature that traffic trip congestion data over the years is analyzed etc., build the distributed model of Forecast of Urban Traffic Flow, include the discharge model by commuter time distribution, there is the discharge model built by rule of going on a journey festivals or holidays, have the magnitude of traffic flow distributed model by special season, (university reports for work season, spring outing autumn outing season etc.) occurred.
(4.4) dynamic city vehicle moving model is built.Based on the model datas such as urban traffic network model, vehicle feature model, vehicle distributed model, vehicle flow, according to setting and the demand of simulated target, as a certain signal control algolithm effect in the different vehicle flow situation of zones of different etc. will be verified, build dynamic city vehicle moving model, this model can add up run on the road surface of each car under imposing a condition time, path and speed, simulate the trip feature of dissimilar vehicle and areal distribution, the wagon flow total amount of every bar road and variation tendency.This model, based on each feature model built and default environment and condition, generates by performing vehicle operating and buries in oblivion module, with the mutual scheduling of control center's model in realize running;
Vehicle operating generates and buries in oblivion module, for
A () is according to the constraint condition of above-mentioned dynamic traffic road network urban traffic network model, dynamic traffic road network intervention model, dynamic traffic road network moving model, generate comprehensive vehicle operating parameters, generate all driving traces that vehicle satisfies condition, be built into vehicle dynamic runtime database; And realize gathering, monitoring by control center, carry out intervening and managing according to rule.
B () operational vehicle possesses and control center's model interactive instruction function.In vehicle operating, when after the setting sight occurring intervention model, associated operational vehicle can according to new constraint condition, path planning again, generates new optimization driving trace, pack, is bound in runtime database for vehicle operating model extraction.
C () vehicle operating model possesses and extracts all types of service datas of setting, random or artificial institute's Prescribed Properties data of producing and generation, pack and be bound in dynamic operation storehouse at any time, automatically generate vehicle by time period (random time or time for balance or fixed time) of model needs from starting point and run, arriving destination registration (service data being submitted to dynamic operation storehouse) and automatically bury in oblivion afterwards----nullify.
(5) structure of dynamic urban road network structural model.According to the recognition result (as topology architectural feature data) to sweep vector topological diagram, with feature code data (specific descriptions see road feature model each in " embodiment " chapters and sections) comparison of dynamic traffic road network feature model, and dynamic traffic network urban road feature model and corresponding GIS urban transportation polar plot (this figure associate to make form) by existing to urban road polar plot and the laboratory data plot possessing the Big Dipper or the GPS elements of a fix are associated, build programmable GIS urban road traffic information database and vehicle dynamic Runtime Library structure, and then build and generate dynamic urban road network structural model.
(6) build control center model, mainly comprise log pattern, for realizing collection to historical operation, log information, preservation.Administration module, to the management of all feature model parameter informations, provides the functions such as amendment, deletion, collection, preservation, inquiry for realizing.Monitoring module, for realizing the visual tracking to each key element parameter state and change in conjunction with programmable GIS urban road traffic information database and dynamic operation storehouse (setting up by above-mentioned dynamic urban road network structural model).Track module, for showing vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, checking designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store.
(7) control center's model obtains overall traffic information, accepts operational vehicle request, according to overall operation present situation, is this car calculation optimization route scheme, is bound by new operation integrated data in request vehicle;
Control center's model construction road network overall operation situation map;
Control center's model, according to instruction, generates lamp system control data according to the various optimized algorithm of signal lamp, binds into lamp system.
(8) build dynamic traffic generation model, according to GIS urban transportation database able to programme and the Runtime Library of each feature model and generation, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management.Generation model has Run(to start), Pause(suspends) and Abort(exit) three operate, only under Pause and Abort state, can revise each feature model parameter, the log pattern of control center's model can record all operations in generating period.
Model of the present invention can solve in-problem principle in prior art:
Model of the present invention adopts the data hierarchy model from macroscopic view to microcosmic, overcomes the Data Consistency of traditional data according to information type layering; The operating all key elements of urban transportation considered by model comprehensively, the each key element of Dynamic profiling, the GIS urban road traffic information database able to programme built and dynamic operation storehouse make traffic key element and ruuning situation to adjust in real time and to contrast, and monitoring and scheduling center realizes global monitoring, management and adjustment.And dynamic generates all types of real-time traffic operation situation window figure.More traditional traffic model for the purpose of navigation has stronger traffic circulation analysis ability, traffic network to plan the checking ability of ability, prediction scheme planning algorithm measure rule.
The beneficial effect that the present invention produces is:
(1) the invention provides from macroscopic view, middle sight to the data hierarchy model of microcosmic, be mutually connected and restriction between level, ensure consistance and the accuracy of data.
Urban highway traffic macroscopically can be instructed to plan, analyze traffic circulation load state and the ability of traffic network and facility structure.Middle sight can verify traffic prediction scheme, traffic programme, signal control algolithm, traffic scheduling measure of control, traffic administration rule, optimizes road construction scheme, roading scheme, road dispatch control scheme, signal command algorithm arrangement.Microcosmic refine to the complete embodiment of all types of road traffic key element, vehicle close to the running status under actual space distribution, each condition of traffic.Make the simulation of system closer to reality.The dispatch control of road traffic can be optimized, management controls.Simultaneously for dispatch control, management control, routing, the trip guiding etc. of road traffic, higher model credibility and traffic simulation degree of accuracy and traffic tendency is had to predict accuracy.
(2) traffic network urban road feature model is dynamic and vector quantization model, vector quantization structure makes only to need according to certain rule and methodology adjustment parameter, the change of key element form can be realized, realize the Optimal Expression of feature model and the optimization of road network structure, realize the simulation to mobile object, more easily realize the comparison of road load-carrying properties before and after road-net database, model better can play the transportation industry architecture tenabilities such as its traffic guiding, railway network planning, construction control, command scheduling management.
(3) this system is the master tool of the intelligent operation and management of urban transportation.
Based on this system, we can design, verify, optimize the algorithm (the command scheduling algorithm for various different road load, resistance condition) of the control of various traffic signals point, band control, face control, district's control, realize intelligence truly and science signal management controls.
Based on this system, we can obtain the basic data that enough urban traffic road is run, and can instruct the science operation of the macroscopic view (planning, management) of the traffic route realized under various condition and microcosmic (travel, operation).And then the intelligent transportation realized truly runs and trip, and promote chain environmental protection and energy saving effect.Social benefit can not be underestimated.
By the regarded as output controlling to this system, traffic network can be planned, traffic network construction, point duty management, traffic network safeguard that the work of the barrier between different departments such as construction is included a large data system in and managed, thus enter the good environment of the mutual collaborative work of all departments.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is GIS-T data hierarchy model schematic of the present invention.
Fig. 2 is the process flow diagram that the present invention builds dynamic traffic network urban road feature model.
Fig. 3 is dynamic signal indicating lamp operation rule process flow diagram of the present invention.
Fig. 4 is dynamic traffic road network information data base organization of the present invention schematic diagram.
Fig. 5 is dynamic traffic road network urban transportation feature model general structure relation schematic diagram of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
A hierarchical model for GIS-T data, comprises city plan, urban traffic road topological diagram, GIS urban traffic road polar plot, GIS urban road network factor vector figure (comprise GIS vehicle operating and map auxiliary sublayer) four sublayers.
The invention provides a kind of dynamic traffic network urban road feature model modeling method, step as shown in Figure 2:
Step S1: extract urban traffic road topological diagram according to city plan, as shown in Figure 1.
Step S2: according to urban traffic road topological diagram, generates GIS urban traffic road polar plot and builds dynamic traffic road network urban traffic network model, comprise following sub-step,
S2-1: build dynamic road pessimistic concurrency control, comprise dynamic one-way road road (bicycle road, two-way traffic and three lanes), dynamic two ways road (two-way traffic, three lanes, Four-Lane Road, five tracks), dynamic bend (one-way road road and two ways road).The elastic construction that road adopts section splicing to extend, is convenient to joint and adopts stretch mode docking.All types of road all has unique data structure, as shown in table 1, and can according to realistic simulation picture library by adjustment parameter change road shape and direction.
The data structure of table 1 dynamic road net
Definition class DynamicRoadNet, builds member function and realizes the provisional of road net key element parameter and permanent dynamic conditioning, as shown in table 2.
The member function of table 2DynamicRoadNet class
S2-2: build dynamic intercommunication crossing model, comprises the dynamic cross junction, dynamic T-shaped crossing, Dynamic Annular crossing and the dynamic humanoid crossing that connect one-way road road and two ways road.The equal setting direction lane line in each crossing, all has unique data structure, as shown in table 3, and can according to realistic simulation picture library adjustment parameter change intersection shape and direction.
Table 3 is intercommunication crossing data structure dynamically
Definition class DynamicCross, build member function ChangeToCrossTurn () and realize the provisional of intercommunication intersection turning direction and permanent dynamic conditioning, its result is by the constraint of LanesType and LanesPosit in DynamicRoadNet class.
S2-3: build dynamic pedestrian passageway line model, data structure is as shown in table 4, People's Bank of China cross diatom can according to realistic simulation picture library adjustment parameter change cross diatom position, dynamically add and deleted diatom.
Table 4 dynamic pedestrian crosses diatom data structure
Definition class DynamicWalkLine, build member function ChangeToWalkLineLoc () adjustment People's Bank of China passageway line position, member function ChangeToWalkLineEx () deletes or recovers People's Bank of China and crosses diatom, ChangeToWalkLineAr () adjusts People's Bank of China and crosses diatom size, its result retrains by RoadWidth in DynamicRoadNet class, realizes the provisional of People's Bank of China's passageway line feature and permanent dynamic conditioning.
S2-4: build dynamic signal indicating lamp model, comprise dynamic crossing signals pilot lamp and dynamic section signal lamp, data structure is as shown in table 5, can according to realistic simulation picture library adjustment dynamic state of parameters add and erasure signal pilot lamp, change pilot lamp operation.Signal lamp is made up of three parts: digital modulation, signal lamp (LED is arrowhead-shaped), track pilot lamp (changeable driveway type).
Can according to realistic simulation picture library and signal lamp PLC technology algorithm (artificial setting or external data), adjust each belisha beacon status attribute and time parameter thereof, adjustment belisha beacon layout parameter, dynamically adds and erasure signal pilot lamp, the moving law changing signal lamp and the method for operation.Signal lamp is made up of three parts: digital modulation, signal lamp (LED is arrowhead-shaped), track pilot lamp (changeable driveway type)
Table 5 dynamic signal indicating lamp data structure
Dynamic signal indicating lamp operation rule, flow process as shown in Figure 3.
XID section mark green light opens bright, green light lighting time function Timer (GreenTime), and countdown is that 0 green light stops; XID section mark amber light opens bright, amber light lighting time function Timer (YellowTime), and countdown is that 0 amber light stops; XID section mark red light opens bright, red light being lit function of time Timer (RedTime), and countdown is that 0 red light stops.
Definition class DynamicSignal, build member function ChangeToSignalLoc () adjustment signal lamp position, member function ChangeToSignalEx () deletes or restoring signal pilot lamp, what ChangeToTime () adjusted red light, green light and amber light respectively lights between countdown, realizes the provisional of signal lamp key element and permanent dynamic conditioning.
For track, xID Y-direction section, n 1individual left turn lane GYR look left arrow band represents, n 2individual compact car fast direct runway GYR look two fine rule band represents, n 3individual large car compact car at a slow speed Through Lane GYR look wide dotted bars represents, n 4individual service bus Through Lane GYR look wide band represents, n 5individual right-turn lane GYR look right arrow band represents, n 6the red single thin line band of individual Emergency Vehicle Lane represents, n 1+ n 2+ n 3+ n 4+ n 5+ n 6=LanesNum.
Dynamic signal indicating lamp model is able to programme, such as, by changing state parameter, the lighting time of red greenish-yellow grade, add at crossing or remove signal lamp, overall traffic circulation flow can be adjusted, optimize traffic flow structure, seek optimum traffic circulation programme.
S2-5: build dynamic road Sign Board model, main consideration affects the Sign Board that urban road runs, as shown in table 6, can add according to realistic simulation picture library adjustment dynamic state of parameters and delete road sign board.
Table 6 dynamic road Sign Board data structure
Definition class DynamicSign, build subfunction ChangeToSignEx () delete or recover different kinds of roads Sign Board, member function ChangeToSignLimitV () adjusts the maximum speed limit value of speed limit signboard, realizes the provisional of road sign board key element and permanent dynamic conditioning.
S2-6: build dynamic road and connect separation facilities model, comprise dynamic flyover model, Dynamic Vehicle road vector cut-off rule model, dynamic isolation hurdle model and dynamic stop line model, can add according to realistic simulation picture library adjustment dynamic state of parameters and delete facility, change shape.
Table 7 dynamic road connects separation facilities data structure
Definition class DynamicFacility, build member function ChangeToOverpassType () change viaduct type, member function ChangeToSplitLineType () changes vector cut-off rule type, subfunction ChangeToFacilityEx () deletes or recovers different kinds of roads and connects separation facilities, subfunction ChangeToFacilityLength () adjusts the length that different kinds of roads connect separation facilities, the Distribution value of StopLineLength and BarrierLength retrains by RoadWidth and RoadLength in DynamicRoadNet class, subfunction ChangeToFacilityLoc () adjusts the position that different kinds of roads connect separation facilities, realize the provisional and permanent dynamic conditioning that road connects separation facilities key element.
S2-7: build GIS traffic network factor vector figure.According to GIS traffic network polar plot, according to dynamic traffic network urban road feature model, build GIS traffic network factor vector figure.By the mark scanning identification to GIS traffic network polar plot structure, the similar feature model of correspondence is recalled, by the method that automatic Fitting and human assistance adjust, the method of even full artificial fitting's adjustment, at the 4th layer building GIS traffic network factor vector figure, this layer of figure comprises all the elements and the data of following each model visualization key element.In order to the convenience applied, the figure in the vehicle operating model in this layer of figure can generate mapping subgraph depending on changing content.
Step S3: the environmental element (traffic rules, comprehensive impedance and traffic events) run according to traffic network, builds dynamic traffic road network and runs intervention model, comprise following sub-step,
S3-1: build dynamic traffic rule model, mainly comprise:
(1) red light amber light stops, and green light is set out;
(2) double amber lines, single yellow line, solid line, isolated column can not be crossed over;
(3) dotted line can be crossed over, stop line+amber light, stop line+red parking; Front truck stops, and spacing is stopped to λ rice; Stop line+green light, green light, crosses over stop line, travels by fixed route.
(4) starting point InitialPoint and StartPoint sets out, and starts timing;
(5) terminal EndPoint disappears, by initial time StartTime, down time EndTime, each travelling speed Velocity and operating path Path write into Databasce;
(6) vehicle travels according to given speed;
(7) vehicle is by given route running;
(8) vehicle is by regulation track, by track pilot lamp instruction lanes, parking, lane change
S3-2: build dynamic traffic comprehensive impedance model, comprise eight kinds of patterns:
(1) road network structure impedance mode system, its link travel time of the road network of different topology structure is different.
(2) crossing structural impedance mode system, its link travel time of the crossing of different structure is different, comprises the grade crossing of different structure, the flyover crossing of different structure, the crossing stop line structure etc. of different modes.
(3) section structural impedance mode system, its link travel times such as the design of the length of different sections of highway, width, lane structure, People's Bank of China's crossing quantity and structure, section fork situation are different.
(4) vehicle impedance mode system, track flow, vehicle operating mode (general rule operation, irregular operation, information condition operation, accurate code are run) all present different link travel times.
(5) traffic rules mode system, different road planning all presents different link travel times.
(6) Signalized control mode system, different Signalized control modes, intersection wagon flow pass-through mode and each flow time of letting pass all presents different link travel times.
(7) traffic operating mode system, different traffic noise prediction (track construction, vehicle road occupying), operational mode (restrict driving management, the setting in unidirectional track, the setting of two-way lane), arranging of means of transportation all present different link travel times.Run impedance body owner and will comprise following three kinds:
(1) on bicycle road, all vehicles and bicycle, pedestrian mix, and significantly there is interference between different mode of transportation, and two-way wagon flow interacts.The principal element of impedance has: unidirectional motor vehicle flow, the one-way trip ability under different traffic conditions, unidirectional bicycle pedestrian flow, break-in motor vehicle and flow.
(2) on multilane, motor vehicle does not interfere with each other in the same way, there is interference between different mode of transportation.The principal element of impedance has: motor vehicle flow in the same way, in the same way bicycle pedestrian flow, the traffic capacity in the same way under different flow.
(3) multilane does not disturb between motor vehicle and bicycle pedestrian in the same way, but there is interference between motor vehicle and break-in motor vehicle in the same way.The principal element of impedance has: motor vehicle flow in the same way, break-in motor vehicle flow, the traffic capacity in the same way of different flow.
(8) traffic random impedance system, traffic hazard system, traffic disposal options system, traffic jam mode system all present different link travel times.
These eight kinds of patterns are interrelated, mutually restrict, and by simulating the traffic impedance of different system, quantize impedance targets of different nature.
S3-3: build traffic events generation model, mainly comprise section all kinds traffic hazard model, road maintenance event model, certain area burst event (exhibitions, concert, parade, the rally etc.) stream of people, traffic flow model, road period warning model etc.
Step S4: build dynamic traffic city road network moving model according to the type of vehicle key element, attribute, distribution and operation characteristic.According to the key element that urban road network runs, build dynamic traffic city road network moving model, comprise following sub-step,
S4-1: build dynamic vehicle feature model.According to type and the attribute of road vehicles, build dynamic vehicle feature model, comprise oversize vehicle series, medium sized vehicle series, dilly series.Often produce a car, produce the ID that this car is unique simultaneously.This model can according to the random generation of the needs of simulate effect or artificial setting be dissimilar, the vehicle of varying number is in the situation of road traveling.Dissimilar its size of car amount, tonnage, speed limit, traveling restrictive condition etc. are different.
Table 8 dynamic vehicle factor data structure
Definition class DynamicMotor, build member function CaptureRealData () when gathering real time data, real-time status data to be recorded in the parameter of table 8 respectively, be saved to dynamic data base, the state value of parameter in table 8 is exported to the vehicle of dry run when simulating vehicle runs by member function OutputData ().
S4-2: build dynamic vehicle area of space distributed model.According to community in urban areas, functional architecture distribution state data, according to results such as vehicle registration address dates, build dynamic vehicle area of space distributed model.Divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time.This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event.
S4-3: the distributed model building Forecast of Urban Traffic Flow.According to the process of the spatio-temporal distribution data to vehicle driving, build the distributed model of Forecast of Urban Traffic Flow.Include the discharge model by commuter time distribution, have the discharge model built by rule of going on a journey festivals or holidays, have the magnitude of traffic flow distributed model by special season, (university reports for work season, spring outing autumn outing season etc.) occurred.
S4-4: build dynamic city vehicle moving model.According to vehicle feature model, dynamic vehicle areal distribution model, dynamic vehicle flow distribution model, build dynamic city vehicle moving model.What this model included vehicle opens the definition algorithm of initial point to destination node, can add up each car in working time on road surface, path and speed, simulates the trip feature of dissimilar vehicle and areal distribution, the wagon flow total amount of every bar road and variation tendency.Based on each feature model built, by performing vehicle operating
Generate and bury in oblivion module, with the mutual scheduling of control center's model in realize the operation of traffic network vehicle.
Vehicle operating generates and buries in oblivion the nucleus module that module is dynamic city vehicle moving model, and its major functional steps comprises:
(1) according to the constraint condition of above-mentioned each model, gather comprehensive vehicle operating parameters, generate all driving traces that vehicle satisfies condition;
(2) with control center's model interactive instruction, according to new constraint condition, again path planning, new optimization driving trace is generated;
(3) institute's Constrained and generation data are extracted, pack and be bound in dynamic operation storehouse, automatically generate vehicle by time period (random time or time for balance or fixed time) of model needs from starting point and run, arriving destination registration (service data being submitted to dynamic operation storehouse) and automatically bury in oblivion afterwards.
Step S5, builds programmable GIS urban road traffic information database and dynamic operation storehouse.According to the recognition result of each element characteristic code and traffic route topological diagram, dynamic traffic network urban road feature model is associated with corresponding GIS traffic route factor vector figure, build programmable GIS urban road traffic information database and dynamic operation storehouse (figure library structure as shown in Figure 4), and then generate dynamic urban road network structural model.
Step S6, builds control center's model.According to the demand of the running state monitoring of road network vehicle operating model, data interaction, operation intervention, man-machine interface operation, build control center's model.This model can obtain overall traffic information, accepts operational vehicle request, and according to overall operation present situation, calculation optimization route scheme, binds operation integrated data in request vehicle.Road network overall operation situation map can be generated, scalable adjustment.
Control center's model mainly comprises log pattern, realizes the preservation to historical operation, log information; Administration module, realizes, to the management of all feature model parameter informations, providing the functions such as amendment, deletion, preservation, inquiry; Monitoring module, realizes the visual tracking to each key element parameter state and change in conjunction with programmable GIS urban road traffic information database and dynamic operation storehouse; Track module, display vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, check designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store.
Control center's model obtains overall traffic information, accepts operational vehicle request, according to overall operation present situation, is this car calculation optimization route scheme, is bound by new operation integrated data in request vehicle;
Control center's model construction road network overall operation situation map;
Control center's model, according to instruction, generates lamp system control data according to the various optimized algorithm of signal lamp, bookbinding people lamp system.
Step S7, builds dynamic traffic generation model.According to GIS urban transportation database able to programme and the Runtime Library of each feature model and generation, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management.Generation model has Run(to start), Pause(suspends) and Abort(exit) three operate, only under Pause and Abort state, can revise each feature model parameter, the log pattern of control center's model can record all operations in generating period.
Wherein, the modeling method of signal lamp model is built: comprise dynamic crossing signals pilot lamp and dynamic section signal lamp, data structure is as shown in table 5 in text, and dynamic signal indicating lamp operation rule and flow process are as illustrated in figure 3 of the drawings.Can according to realistic simulation picture library and signal lamp PLC technology algorithm (artificial setting or external data), adjust each belisha beacon status attribute and time parameter thereof, adjustment belisha beacon layout parameter, dynamically adds and erasure signal pilot lamp, the moving law changing signal lamp and the method for operation.Signal lamp is made up of three parts: digital modulation, signal lamp (LED is arrowhead-shaped), track pilot lamp (changeable driveway type).
The structure of dynamic urban road network structural model and the construction method in programmable GIS urban road traffic information database and dynamic operation storehouse:
According to the recognition result (as topology architectural feature data) to sweep vector topological diagram, with feature code data (specific descriptions of the above-mentioned each road feature model) comparison of dynamic traffic road network feature model, and dynamic traffic network urban road feature model and corresponding GIS urban transportation polar plot (this figure associate to make form) by existing to urban road polar plot and the laboratory data plot possessing the Big Dipper or the GPS elements of a fix are associated, build programmable GIS urban road traffic information database and vehicle dynamic Runtime Library structure, and then build and generate dynamic urban road network structural model.
The execution of dynamic traffic road network moving model case.After each traffic feature model has built, the key step running a traffic example comprises:
(1) dynamic traffic road network urban traffic network model, dynamic traffic city vehicle model and the initialization of dynamic traffic rule model;
(2) monitoring module of control center's model starts monitoring and each model initialization status information is passed to log pattern record;
(3) dynamic urban road network structural model and the Dynamic GIS urban transportation road information database of original state is built;
(4) dynamic traffic generation model is started, working train family traffic example;
(5) monitoring module of control center monitors example ruuning situation in real time, and records the information in log pattern;
(6) as need traffic circulation be adjusted, suspend or out of service, according to actual conditions and optimization aim, administration module revises each feature model parameter, log pattern record these amendment information;
(7) rerun dynamic traffic generation model, dynamically urban road network structural model and dynamic traffic road network information database upgrade mutually, optimize simultaneously;
(8), after case completes operation, designated vehicle special time driving trace and magnitude of traffic flow distribution situation can be checked by track module, also can derive track data and store, for subsequent analysis.Each model structure relation as shown in Figure 5.
The present invention also provides a kind of dynamic traffic road network urban highway traffic feature model, and described dynamic traffic road network urban highway traffic feature model comprises dynamic traffic road network urban traffic network model, dynamic traffic road network intervention model, dynamic traffic road network moving model and control center's model;
Described dynamic traffic road network urban traffic network model, the infrastructure relied on for Dynamic profiling operation urban transportation and topological relation thereof, comprising:
Dynamic traffic road network module, for representing road type and direction, for Dynamic profiling one-way road road, two ways road, the road net key elements such as bend, in model, road adopts the elastic construction that section splicing extends, and joint adopts stretch mode docking;
Dynamic intercommunication crossing module, connects the cross junction of one-way road road and two ways road, T-shaped crossing, the intersection such as traffic circle and humanoid crossing for Dynamic profiling;
Dynamic pedestrian passageway wire module, crosses diatom and position thereof and structure for Dynamic profiling People's Bank of China;
Dynamic signal indicating lamp module, for Dynamic profiling crossing signals pilot lamp and section signal lamp, controls for carrying out artificial and based on algorithm management able to programme to the state of signal lamp; Signal lamp parameter is made up of three fields: digital modulation, signal lamp, track pilot lamp;
Dynamic road Sign Board module, affects the Sign Board of urban road operation for Dynamic profiling;
Dynamic road connects separation facilities model, comprises dynamic viaduct, Dynamic Vehicle road vector cut-off rule, the contents such as dynamic isolation hurdle and dynamic stop line.For models such as Dynamic profiling viaduct, track vector cut-off rule, isolated column and stop lines;
Described dynamic traffic road network intervention model, affects the traffic rules of traffic circulation, comprehensive impedance and traffic events for Dynamic profiling, comprising:
Dynamic traffic rule database, travels rule for Dynamic profiling vehicle;
Dynamic traffic comprehensive impedance model, for the roadlock in Dynamic profiling and simulation traffic circulation and traffic delay factor;
Traffic events generation model, for describing all kinds of traffic hazard and accident;
Described dynamic traffic city road network moving model, for the various vehicle of Dynamic profiling and areal distribution, operation characteristic and trend etc., comprising:
Dynamic vehicle feature model, for the type, attribute etc. of each vehicle key element of Dynamic profiling; Comprise oversize vehicle series, medium sized vehicle series, dilly series.Often produce a car, produce the ID that this car is unique simultaneously.
Dynamic vehicle areal distribution model, for Dynamic profiling vehicle in each traffic zone distribution situation spatially; Divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time.This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event.
The distributed model of Forecast of Urban Traffic Flow, for Dynamic profiling magnitude of traffic flow distribution situation in time; Include the discharge model by commuter time distribution, have the discharge model built by rule of going on a journey festivals or holidays, have the magnitude of traffic flow distributed model by special season, (university reports for work season, spring outing autumn outing season etc.) occurred.
Dynamic city vehicle moving model, for the ruuning situation of Dynamic profiling vehicle, simulating vehicle trip feature and areal distribution, vehicle flow and variation tendency.Based on each feature model built, by perform vehicle operating generate with bury in oblivion module (nucleus module of dynamic city vehicle moving model), with the mutual scheduling of control center's model in realize running.
Dynamic city vehicle moving model, for the ruuning situation of Dynamic profiling vehicle, simulating vehicle trip feature and areal distribution, vehicle flow and variation tendency.Based on each feature model built, by perform vehicle operating generate with bury in oblivion module, with the mutual scheduling of control center's model in realize running.
This model also according to analogy method and can judge that the needs of its effect are according to areal distribution model and the random generation of magnitude of traffic flow distributed model or artificial setting different running method with run type, and the vehicle of performance varying number is in the situation of road traveling.
This model can add up each car in working time on road surface, path and speed, simulates the trip feature of dissimilar vehicle and areal distribution, the wagon flow total amount of every bar road and variation tendency.
Described control center model, for obtaining overall traffic information, accepts operational vehicle request, according to overall operation present situation, is operational vehicle calculation optimization route scheme, is bound by new operation integrated data in request vehicle; Generate lamp system control data according to the various optimized algorithm of signal lamp, bind into lamp system; Comprise:
Log pattern, realizes the acquisition to historical operation, log information, preservation;
Administration module, realizes, to the management of all feature model parameter informations, providing the functions such as amendment, deletion, preservation, inquiry;
Monitoring module, realizes the visual tracking to each key element parameter state and change in conjunction with programmable GIS urban road traffic information database and dynamic operation storehouse;
Track module, display vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, check designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store.
Dynamic traffic network urban road feature model also comprises dynamic traffic generation model, according to GIS urban transportation database able to programme and the Runtime Library of each feature model and generation, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management.Generation model has Run(to start), Pause(suspends) and Abort(exit) three operate, only under Pause and Abort state, can revise each feature model parameter, the log pattern of control center's model can record all operations in generating period.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection domain that all should belong to claims of the present invention.

Claims (7)

1. a dynamic traffic network urban road feature model, described dynamic traffic network urban road feature model comprises dynamic traffic road network urban traffic network model, dynamic traffic road network intervention model, dynamic traffic city vehicle model and control center's model;
Described dynamic traffic road network urban traffic network model, the infrastructure relied on for Dynamic profiling operation urban transportation and topological relation thereof, comprising:
Dynamic road net module, for representing road type and direction, comprises one-way road road for Dynamic profiling, the road net key element of two ways road and bend, and in model, road adopts the elastic construction that section splicing extends, and joint adopts stretch mode docking;
Dynamic intercommunication crossing module, connects the cross junction of one-way road road and two ways road, T-shaped crossing, traffic circle and humanoid crossing for Dynamic profiling;
Dynamic pedestrian passageway wire module, crosses diatom and position thereof and structure for Dynamic profiling People's Bank of China;
Dynamic signal indicating lamp module, for Dynamic profiling crossing signals pilot lamp and section signal lamp, controls for carrying out artificial and based on algorithm management able to programme to the state of signal lamp; Signal lamp parameter is made up of three fields: digital modulation, signal lamp, track pilot lamp;
Dynamic road Sign Board module, affects the Sign Board of urban road operation for Dynamic profiling;
Dynamic road connects separation facilities model, comprises dynamic viaduct, Dynamic Vehicle road vector cut-off rule, dynamic isolation hurdle and dynamic stop line; For Dynamic profiling flyover model, track vector cut-off rule model, isolated column model and stop line model;
Described dynamic traffic road network intervention model, affects the traffic rules of traffic circulation, comprehensive impedance and traffic events for Dynamic profiling, comprises
Dynamic traffic rule database, travels rule for Dynamic profiling vehicle;
Dynamic traffic comprehensive impedance model, Dynamic profiling and the roadlock in simulation traffic circulation and traffic delay factor;
Traffic events generation model, for describing all kinds of traffic hazard and accident;
Described dynamic traffic city operations model, for the various vehicle of Dynamic profiling and areal distribution, operation characteristic and trend; Comprise:
Dynamic vehicle feature model, for type and the attribute of each vehicle key element of Dynamic profiling; Comprise oversize vehicle series, medium sized vehicle series, dilly series; Often produce a car, produce the ID that this car is unique simultaneously;
Dynamic vehicle areal distribution model, for Dynamic profiling vehicle in each traffic zone distribution situation spatially; Divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time; This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event;
The distributed model of Forecast of Urban Traffic Flow, for Dynamic profiling magnitude of traffic flow distribution situation in time; Comprise the discharge model by commuter time distribution, the discharge model built by rule of going on a journey festivals or holidays, the magnitude of traffic flow distributed model occurred by special season;
Dynamic city vehicle moving model, for the ruuning situation of Dynamic profiling vehicle, simulating vehicle trip feature and areal distribution, vehicle flow and variation tendency;
Described control center model, for obtaining overall traffic information, accepts operational vehicle request, according to overall operation present situation, is this car calculation optimization route scheme, is bound by new operation integrated data in request vehicle; Generate lamp system control data according to the various optimized algorithm of signal lamp, bind into lamp system; Comprise:
Log pattern, realizes the preservation to historical operation, log information;
Administration module, realizes, to the management of all feature model parameter informations, providing amendment, deletion, preservation, query function;
Monitoring module, realizes the visual tracking to each key element parameter state and change in conjunction with programmable GIS urban road traffic information database and dynamic operation storehouse; ;
Track module, display vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, check designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store.
2. dynamic traffic network urban road feature model according to claim 1, it is characterized in that, dynamic traffic network urban road feature model also comprises dynamic traffic generation model, for according to the GIS urban transportation database able to programme of each feature model and generation and Runtime Library, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management.
3. a dynamic traffic network urban road feature model modeling method, comprises the following steps:
(1) extract urban traffic road topological diagram according to city plan, generate GIS urban traffic road polar plot;
(2) the GIS urban traffic road polar plot generated according to urban traffic road topological diagram builds dynamic traffic road network urban traffic network model;
(3) building dynamic traffic road network intervention model according to affecting the traffic rules of traffic circulation, comprehensive impedance and traffic events, comprising following methods and step,
(3.1) building dynamic traffic rule database according to traffic rules, travelling rule for providing vehicle;
(3.2) according to the roadlock factor in traffic circulation, dynamic traffic comprehensive impedance model is built according to traffic delay factor, Dynamic profiling and the roadlock in simulation traffic circulation and traffic delay factor when being hampered for vehicle;
(3.3) traffic events generation model is built, for describing all kinds of traffic hazard and accident according to the kind of traffic hazard and accident;
(4) dynamic traffic city operations model is built according to the type of vehicle key element, attribute, distribution and operation characteristic;
(5) dynamic traffic network urban road feature model is associated with corresponding GIS urban transportation polar plot, build programmable GIS urban road traffic information database and dynamic operation storehouse, and then build and generate dynamic urban road network structural model;
(6) building control center's model, comprising log pattern, for realizing the preservation to historical operation, log information; Administration module, to the management of all feature model parameter informations, provides the functions such as amendment, deletion, preservation, inquiry for realizing; Monitoring module, in conjunction with the visual tracking of GIS picture library model realization to each key element parameter state and change; Track module, for showing vehicle position and driving trace on GIS road network, can look into adjusting data storehouse at any time, checking designated vehicle special time driving trace and magnitude of traffic flow distribution situation, also can derive track data and store;
(7) control center's model obtains overall traffic information, accepts operational vehicle request, according to overall operation present situation, is this car calculation optimization route scheme, is bound by new operation integrated data in request vehicle;
Control center's model construction road network overall operation situation map;
Control center's model, according to instruction, generates lamp system control data according to the various optimized algorithm of signal lamp, binds into lamp system.
4. dynamic traffic network urban road feature model modeling method according to claim 3, is characterized in that, step (2) comprises the following steps,
(2.1) build dynamic road net model according to urban traffic road topological diagram, described dynamic road net model is for representing road type and direction; Described dynamic road net model comprises dynamic one-way road road, dynamic two ways road, dynamic bend, and in model, road adopts the elastic construction that section splicing extends, and joint adopts stretch mode docking; Described road all has unique data structure, and can according to realistic simulation picture library by adjustment parameter change road shape and direction;
(2.2) build dynamic intercommunication crossing model according to urban traffic road topological diagram, comprise the dynamic cross junction connecting one-way road road and two ways road, dynamic T-shaped crossing, Dynamic Annular crossing and dynamic humanoid crossing; The equal setting direction lane line in each crossing, all has unique data structure, and can according to realistic simulation picture library adjustment parameter change intersection shape and direction;
(2.3) build dynamic pedestrian passageway line model according to urban traffic road topological diagram, People's Bank of China crosses diatom and according to realistic simulation picture library adjustment parameter change position, dynamically interpolation and can delete;
(2.4) dynamic signal indicating lamp model is built according to urban traffic road topological diagram, comprise dynamic crossing signals pilot lamp and dynamic section signal lamp, can according to realistic simulation picture library adjustment dynamic state of parameters add and erasure signal pilot lamp, change pilot lamp operation; Signal lamp is made up of three parts: digital modulation, signal lamp and track pilot lamp;
(2.5) build dynamic road Sign Board model according to urban traffic road topological diagram, consider the Sign Board affecting urban road operation, Sign Board is added and deletion by adjustment dynamic state of parameters according to realistic simulation picture library class;
(2.6) build dynamic road according to urban traffic road topological diagram and connect separation facilities model, comprise dynamic flyover model, Dynamic Vehicle road vector cut-off rule model, dynamic isolation hurdle model and dynamic stop line model, can add according to realistic simulation picture library adjustment dynamic state of parameters and delete facility, change shape.
5. dynamic traffic network urban road feature model modeling method according to claim 3, is characterized in that, step (4) comprises the following steps,
(4.1) according to type and the attribute of vehicle key element, build dynamic vehicle feature model, comprise oversize vehicle series, medium sized vehicle series, dilly series; Often produce a car, produce the ID that this car is unique simultaneously; This model can according to the situation of the vehicle of the random generation of the needs of simulate effect or, varying number dissimilar according to the setting that the needs of simulated target are artificial at road traveling;
(4.2) dynamic vehicle areal distribution model is built, divide traffic zone, set up the quantitative relationship of volume of traffic conversion between each traffic zone, simulate the type of vehicle of various types of vehicle between each traffic zone, presence time, garrison quantity, travel time, trip quantity, and consider the initial of dissimilar vehicle and terminal time; This model can be generated by actual vehicle distribution statistics storehouse, also can be produced by the city distributed architecture matching based on community, institutional settings, factory and enterprise, school, commercial network, social event;
(4.3) distributed model of Forecast of Urban Traffic Flow is built according to urban traffic control traffic circulation database data statistics, comprise the discharge model by commuter time distribution, by the discharge model that rule of going on a journey festivals or holidays builds, the magnitude of traffic flow distributed model occurred by special season;
(4.4) according to based on the data in urban traffic network model, vehicle feature model, vehicle distributed model, vehicle flow model, according to setting and the demand of simulated target, build dynamic city vehicle moving model, this model can add up run on the road surface of each car under imposing a condition time, path and speed, simulate the trip feature of dissimilar vehicle and areal distribution, the wagon flow total amount of every bar road and variation tendency; Based on each feature model built and default environment and condition, generate by performing vehicle operating and bury in oblivion module, with the mutual scheduling of control center's model in realize running.
6. dynamic traffic network urban road feature model modeling method according to claim 5, is characterized in that, step 4.4) described in vehicle operating generate and with the construction method burying in oblivion module be:
A () runs mould according to dynamic traffic road network urban traffic network model, dynamic traffic road network intervention model, dynamic traffic road network
The constraint condition of type, gathers comprehensive vehicle operating parameters, generates all driving traces that vehicle satisfies condition;
B () and control center's model interactive instruction, according to new constraint condition, again path planning, generate new optimization row
Sail track;
C institute's Constrained and generation data extract, pack and be bound in dynamic operation storehouse, by the time period of model needs by ()
Automatically generate vehicle from starting point and run, automatically burying in oblivion after arriving destination registration.
7. dynamic traffic network urban road feature model modeling method according to claim 3, it is characterized in that, also comprise the step building dynamic traffic generation model, according to GIS urban transportation database able to programme and the Runtime Library of each feature model and generation, start monitoring and scheduling center model, realize the simulation of dynamic urban transportation, operation and management; Described generation model has startup, suspends and exits three modes of operation, and only under time-out and exit status, can revise each feature model parameter, the log pattern of control center's model can record all operations in generating period.
CN201310518458.1A 2013-10-28 2013-10-28 Dynamic traffic network urban road feature model and modeling method thereof Active CN103531024B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310518458.1A CN103531024B (en) 2013-10-28 2013-10-28 Dynamic traffic network urban road feature model and modeling method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310518458.1A CN103531024B (en) 2013-10-28 2013-10-28 Dynamic traffic network urban road feature model and modeling method thereof

Publications (2)

Publication Number Publication Date
CN103531024A CN103531024A (en) 2014-01-22
CN103531024B true CN103531024B (en) 2015-04-22

Family

ID=49932995

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310518458.1A Active CN103531024B (en) 2013-10-28 2013-10-28 Dynamic traffic network urban road feature model and modeling method thereof

Country Status (1)

Country Link
CN (1) CN103531024B (en)

Families Citing this family (70)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103823382B (en) * 2014-02-27 2016-08-03 浙江省科威工程咨询有限公司 A kind of lane-change track optimizing based on vehicle and speed and the Visual Implementation method
CN104010416A (en) * 2014-05-23 2014-08-27 卢静 Intelligent control management system of solar street lamps
CN104217580B (en) * 2014-08-14 2016-08-17 中国科学院计算技术研究所 Road network Semantic Modeling Method and system towards vehicle groups animation
CN104504170A (en) * 2014-11-20 2015-04-08 中国科学院计算技术研究所 Animated simulation method and system of vehicle
CN104361142B (en) * 2014-12-12 2017-08-25 华北水利水电大学 A kind of multi-source map of navigation electronic vector road network changes quick determination method
CN104616509B (en) * 2015-02-03 2016-08-17 上海交通大学 Urban signalized intersections optimization method based on microscopic traffic simulation and system
CN104766469B (en) * 2015-03-26 2018-01-09 中兴智能交通股份有限公司 Urban traffic flow tide simulation analysis method based on big data analysis
CN105117816B (en) * 2015-07-22 2018-11-27 福州大学 A kind of city impedance computation method based on point of interest
CN105513370B (en) * 2015-12-29 2017-11-24 浙江大学 The traffic zone division methods excavated based on sparse license plate identification data
CN107316474B (en) * 2016-04-27 2020-07-10 上海炬宏信息技术有限公司 Method for making dynamic traffic information sketch based on SVG vector data format
CN109416874B (en) 2016-06-30 2021-03-23 华为技术有限公司 Lane scheduling method, lane information acquisition method, vehicle and management device
CN107655487B (en) * 2016-07-25 2020-05-08 高德软件有限公司 Road section direction identification method and device
CN106777366A (en) * 2017-01-24 2017-05-31 亚信蓝涛(江苏)数据科技有限公司 A kind of microcosmic traffic basis road digital and method for visualizing
CN106846805B (en) * 2017-03-06 2019-11-08 南京多伦科技股份有限公司 A kind of dynamic road grid traffic needing forecasting method and its system
CN106991218A (en) * 2017-03-20 2017-07-28 王金刚 A kind of visualization system emulated based on CBC
CN108734949A (en) * 2017-04-18 2018-11-02 百度在线网络技术(北京)有限公司 Automatic driving vehicle emulation platform construction method, device, equipment and storage medium
WO2018205067A1 (en) * 2017-05-08 2018-11-15 深圳市卓希科技有限公司 Method and system for detecting volume of traffic
WO2018220853A1 (en) * 2017-06-02 2018-12-06 本田技研工業株式会社 Vehicle control device and method for controlling autonomous driving vehicle
CN107564277A (en) * 2017-07-17 2018-01-09 北京交通发展研究院 New energy car develops to traffic congestion analysis method
CN109510851B (en) 2017-09-15 2022-01-04 华为技术有限公司 Map data construction method and device
CN107679305B (en) * 2017-09-25 2020-10-30 南京市城市与交通规划设计研究院股份有限公司 Road network model creating method and device
CN107832910B (en) * 2017-09-30 2020-04-24 东南大学 Method for evaluating influence of road traffic characteristics on carbon monoxide emission concentration
CN107730113B (en) * 2017-10-13 2022-04-15 郑州大学 Function-based quantitative evaluation method for urban road network planning
CN107845257B (en) * 2017-10-16 2020-05-22 北京工业大学 Method for modeling and analyzing traffic capacity of roundabout
CN107622665B (en) * 2017-10-19 2020-06-09 东南大学 Traffic distribution method for interaction of macroscopic traffic simulation system and microscopic traffic simulation system
CN108009973B (en) * 2017-11-15 2021-10-15 上海电科智能系统股份有限公司 Holographic urban rail transit object space-time modeling method
CN108806259B (en) * 2018-01-15 2021-02-12 江苏壹鼎崮机电科技有限公司 BIM-based traffic control model construction and labeling method
CN108229078B (en) * 2018-03-19 2021-11-05 北京工业大学 Rule-based group motion simulation method in urban traffic scene
CN109101649A (en) * 2018-08-23 2018-12-28 广东方纬科技有限公司 One kind can calculate road network method for building up and device
CN109272175A (en) * 2018-11-15 2019-01-25 山东管理学院 A kind of data collection system and method based on Urban Migrant network
CN109598432A (en) * 2018-11-28 2019-04-09 北京航空航天大学 A kind of track of vehicle digital simulation method based on urban characteristic
CN109635062B (en) * 2018-11-30 2023-02-21 南京市城市规划编制研究中心 Fusion construction method for urban surveying and mapping geographic information standard system
CN109600712B (en) * 2018-12-27 2020-11-20 沈阳航空航天大学 Self-adaptive routing method based on software defined internet of vehicles
CN109658768B (en) * 2018-12-27 2020-12-25 交通运输部科学研究院 Virtual reality's many people are with scene mixed traffic flow simulation experiment platform
CN111383450B (en) * 2018-12-29 2022-06-03 阿里巴巴集团控股有限公司 Traffic network description method and device
CN111613050B (en) * 2019-02-26 2022-12-02 阿里巴巴集团控股有限公司 Road data processing method, device, equipment and storage medium
CN110377671A (en) * 2019-04-23 2019-10-25 同济大学 A kind of city road planning method and apparatus
CN111949840B (en) * 2019-05-15 2024-05-31 杭州海康威视数字技术股份有限公司 Method and device for constructing topological graph structure based on data of Internet of things
CN110298500B (en) * 2019-06-19 2022-11-08 大连理工大学 Urban traffic track data set generation method based on taxi data and urban road network
CN110489799B (en) * 2019-07-18 2022-08-16 讯飞智元信息科技有限公司 Traffic jam simulation processing method and related device
CN110415508B (en) * 2019-09-04 2021-07-06 广州市交通规划研究院 Urban gravitation-based regional passenger traffic model construction method
CN110633558B (en) * 2019-11-05 2023-01-31 贵州财经大学 Urban traffic system modeling system
CN110807931B (en) * 2019-11-08 2021-09-17 许凌 Traffic network directed graph path model construction and solving method based on steering relation
CN111462490B (en) * 2020-04-03 2022-06-21 海信集团有限公司 Road network visualization method and device based on multistage subregion division
CN111553517A (en) * 2020-04-17 2020-08-18 平安科技(深圳)有限公司 Road optimization method, system, terminal and computer readable storage medium
CN111309845B (en) * 2020-05-15 2020-09-08 北京全路通信信号研究设计院集团有限公司 Rail transit road network macroscopic situation data display method and system
CN113688192B (en) * 2020-05-18 2022-07-26 百度在线网络技术(北京)有限公司 Intersection model establishing method, device, equipment and medium
CN112200453B (en) * 2020-10-10 2024-02-09 中国城市规划设计研究院 Road traffic bearing capacity evaluation system
CN112800157B (en) * 2021-01-11 2022-08-19 武汉旭云智慧交通有限公司 Dynamic occupying grid model construction method and application architecture design method thereof
CN112837534B (en) * 2021-01-12 2022-07-22 同济大学 Multi-lane roundabout vehicle cooperative control method under intelligent network vehicle connection environment
CN113345253B (en) * 2021-04-01 2022-04-01 武汉旭云智慧交通有限公司 Traffic flow array and signal cooperative control system
CN113532449B (en) * 2021-06-21 2023-11-21 阿波罗智联(北京)科技有限公司 Intelligent traffic network acquisition method and device, electronic equipment and storage medium
CN113435026A (en) * 2021-06-22 2021-09-24 佳都科技集团股份有限公司 Traffic control system
CN113538905A (en) * 2021-06-25 2021-10-22 华录智达科技股份有限公司 Urban traffic operation simulation system
CN113269966B (en) * 2021-07-21 2021-10-08 广东新中望信息科技有限公司 Space-time situation perception model based on combination of geomagnetism big data software and hardware
CN113781769A (en) * 2021-08-09 2021-12-10 浪潮软件股份有限公司 Traffic signal lamp control method based on Internet supervision field
CN113793500B (en) * 2021-09-14 2022-07-26 上海天壤智能科技有限公司 Method and system for constructing computable road network of urban traffic road
CN113553729B (en) * 2021-09-18 2022-03-18 深圳市城市交通规划设计研究中心股份有限公司 Autonomous traffic system model construction method and device based on system dynamics
CN113570867B (en) * 2021-09-26 2021-12-07 西南交通大学 Urban traffic state prediction method, device, equipment and readable storage medium
CN113954868B (en) * 2021-10-08 2023-04-25 南京航空航天大学 Lane-level path planning method and system based on space-time traffic model
CN113920762A (en) * 2021-10-08 2022-01-11 湖南湘江智能科技创新中心有限公司 Control method for prior passage of emergency vehicles based on intelligent network environment
CN114639236B (en) * 2022-02-10 2024-09-03 山东省计算中心(国家超级计算济南中心) Method for constructing semantic data model in traffic field based on ontology
CN114818060A (en) * 2022-04-13 2022-07-29 长沙润柳技术服务有限公司 Highway construction management method and device and related equipment
CN115331425B (en) * 2022-06-30 2023-12-19 银江技术股份有限公司 Traffic early warning method, device and system
CN115293585B (en) * 2022-08-09 2024-04-30 广东旭诚科技有限公司 Method for building dynamic emission list of road network motor vehicle based on GIS-T
CN115376306A (en) * 2022-08-22 2022-11-22 南京工业大学 Intelligent traffic dynamic marking method
CN117057656B (en) * 2023-08-17 2024-05-31 广东飞翔云计算有限公司 Digital twinning-based smart city management method and system
CN116824861B (en) * 2023-08-24 2023-12-05 北京亦庄智能城市研究院集团有限公司 Method and system for scheduling sharing bicycle based on multidimensional data of urban brain platform
CN117935562B (en) * 2024-03-22 2024-06-07 山东双百电子有限公司 Traffic light control method and system based on deep learning
CN118553090A (en) * 2024-06-03 2024-08-27 湖北中交航胜科技有限公司 Traffic travel big data analysis method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101359434A (en) * 2008-09-17 2009-02-04 覃征 Process for constructing road net model for traffic navigation system and traffic emulation system
CN101464923A (en) * 2009-01-16 2009-06-24 天津大学 Traffic control, inducement and cooperation oriented simulation intelligent traffic system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8103435B2 (en) * 2007-07-27 2012-01-24 George Mason Intellectual Properties, Inc. Near real-time traffic routing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101359434A (en) * 2008-09-17 2009-02-04 覃征 Process for constructing road net model for traffic navigation system and traffic emulation system
CN101464923A (en) * 2009-01-16 2009-06-24 天津大学 Traffic control, inducement and cooperation oriented simulation intelligent traffic system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
城市快速路交通仿真系统路网建模技术研究;张俊;《万方数据企业知识服务平台》;20100201;全文 *
城市道路模型研究;陈海玲;《万方数据企业知识服务平台》;20101222;全文 *

Also Published As

Publication number Publication date
CN103531024A (en) 2014-01-22

Similar Documents

Publication Publication Date Title
CN103531024B (en) Dynamic traffic network urban road feature model and modeling method thereof
Cervero The built environment and travel: Evidence from the United States
CN101359434A (en) Process for constructing road net model for traffic navigation system and traffic emulation system
Labetski et al. A proposal for an improved transportation model in CityGML
Liu et al. Networking and sustainable development of urban spatial planning: Influence of rail transit
Cantisani et al. The integrated design of urban road intersections: A case study
Wang et al. Pedestrian delay model for continuous flow intersections under three design patterns
CN113793500B (en) Method and system for constructing computable road network of urban traffic road
Gunarathne et al. Traffic Signal Controller Optimization Through VISSIM to Minimize Traffic Congestion, CO and NOx Emissions, and Fuel Consumption
Cartenì et al. Design of sustainable urban transport infrastructures: a real case application in Italy
Gupta et al. Simulation of pedestrian at intersection in urban congested area
Bing et al. Sustainable Highway Design: Disentangling the Effects of Geometric‐Related and Traffic‐Related Factors on Urban Highway Traffic Emissions
Makarova et al. Specifics of public transport routing in cities of different types
Zhi-Ren et al. A conceptual multi-level data model for road networks
Meng et al. A rapid test method for autonomous ability of unmanned control strategy in dangerous situations
Shokri et al. Comparing the design of roundabout and intersection with aaSIDRA software
Bouton et al. How to keep cities moving: Ideas for America’s urban leaders
Hajrasouliha et al. Designing for a driverless future in downtown San Luis Obispo
Ding et al. Construction of urban intelligent traffic sharing information platform based on GIS
Zhang et al. [Retracted] Deconstruction of the Optimal Design of Urban Road Interchange Based on the Integration of Smart Transportation and Big Data
Xiong et al. Optimization of urban traffic distribution path under quick response demand
Alizadeh Analysing traffic network parameters after implementing one-way method: Hatay, Dörtyol case study
Arco Geomatics for Mobility Management
Babaei A decision support system (DSS) for the perceived bikeability upgrade: application to the case of the city of Milan (Italy)
Al Shamsi Smart Reversible Lanes in Dubai

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant