CN104680820A - Traffic flow car networking system and traffic flow control method based on gradient field - Google Patents
Traffic flow car networking system and traffic flow control method based on gradient field Download PDFInfo
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- CN104680820A CN104680820A CN201510073953.5A CN201510073953A CN104680820A CN 104680820 A CN104680820 A CN 104680820A CN 201510073953 A CN201510073953 A CN 201510073953A CN 104680820 A CN104680820 A CN 104680820A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096844—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is dynamically recomputed based on new data
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Abstract
The invention discloses a traffic flow car networking system and a traffic flow control method based on a gradient field. The system comprises a vehicle information obtaining device, an information communication network system, a vehicle information processing server and a vehicle auto-driving guidance system. According to the traffic flow car networking system, a new vehicle travel planning and traffic jam solving idea is proposed, the urban traffic flow distribution gradient map is obtained through the obtained vehicle information, and the traffic flow on urban roads is controlled by planning the best travel route according to the principle of the gradient field. According to the traffic flow car networking system, vehicle information is completely obtained, a traffic services center can more completely and intuitively control the traffic flow in real time according to the principle of the gradient field, and can help drives to more perfectly plan the travel route, so that more convenient intelligent services are provided for the drives, and traffic problems are fundamentally relieved.
Description
Technical field
The present invention relates to traffic management technology field, particularly relate to a kind of traffic flow car networked system based on gradient fields and traffic flow control method.
Background technology
Current, along with Chinese society and rapid development of economy, traffic congestion becomes the serious problems of restriction social development, and be the puzzlement of citizens' activities, traffic control department of Ye Shi government carries out a difficult problem for traffic administration.The stroke planning that existing on-vehicle vehicle information acquisition apparatus provides and navigation, just carry out shortest route planning according to starting point and destination, cannot have detailed understanding to the real-time road in shortest route, the shortest route usually causing vehicle to follow navigation traveling meets the region of vehicle congestion.Simultaneously, the vehicle flowrate distribution plan that existing vehicle flowrate control system provides, often through the traffic conditions of installing camera acquisition road on road, the vehicle flowrate distribution map data source obtained is restricted, and obtain vehicle flowrate distribution plan as the foundation of regulation and control traffic lights time length, and can only fundamentally can not solve the crowded root cause problems of wagon flow.Therefore, although extensively caused the attention of people for the research of traffic problems, for how fundamentally to alleviate traffic problems, how for people provide more intelligentized service, even do not have more achievement.
Summary of the invention
Technical matters to be solved by this invention is: provide a kind of traffic flow car networked system based on gradient fields and traffic flow control method.The present invention is by information communication network system, the information of vehicles of each vehicle in region is gathered, urban transportation vehicle flowrate distribution plan and urban transportation vehicle flowrate distribution gradient figure is obtained through 3 D stereo reconstruct according to the information of vehicles obtained, utilize the principle of gradient fields, the current geographic position of comprehensive vehicle, the traveling intention of destination and driver, for each provides the car planning optimum driving path of data message, and vehicle running path selected by vehicle upgrades urban transportation vehicle flowrate distribution gradient figure and variation tendency thereof thus makes vehicle avoid jam road, fundamentally alleviate the vehicular circulation pressure of regional area.
The object of the invention is to be achieved through the following technical solutions: a kind of traffic flow car networked system based on gradient fields, comprising: information of vehicles obtains equipment, information of vehicles processing server and information communication network system.
Described information of vehicles obtains equipment for obtaining information of vehicles; Described information of vehicles comprises the driving intention of Vehicle Speed, geographic position and driver; Described travel speed is velocity magnitude and the velocity reversal of vehicle; Described driving intention comprises destination and time restriction, and described time restriction is that driver expects the required time that arrives at the destination; Described information of vehicles obtains equipment and provides information to information of vehicles processing server, and obtains the optimum driving path of vehicle;
Described information of vehicles processing server is after obtaining the information of vehicles on each road in city, by asking gradient to obtain urban transportation vehicle flowrate distribution gradient figure to the urban transportation vehicle flowrate distribution plan of gained, and prediction is carried out to the urban transportation vehicle flowrate distribution gradient figure of subsequent time obtain urban transportation vehicle flowrate distribution gradient prognostic chart, by judging whether urban transportation vehicle flowrate distribution gradient figure and prognostic chart meet that to be less than a people be the road that the condition selection of the threshold value of setting has feasibility, the distance that will travel the road with feasibility and the maximum operating range of driver compare, the path that the distance that the road with feasibility will travel is less than maximum operating range is optimum driving path.
It is on-vehicle vehicle information acquisition apparatus or hand-hold vehicle information acquisition apparatus that described information of vehicles obtains equipment.
Described hand-hold vehicle information acquisition apparatus is the mobile intelligent terminal such as smart mobile phone, panel computer.
Described destination is single objective or multiple objective according to driver drives vehicle intention successively arrangement.
Described information of vehicles obtains that equipment is provided directly to information of vehicles processing server by information communication network, obtaining information or obtain via information of vehicles that equipment supplier provides to information of vehicles processing server, obtaining information.
Described vehicle flowrate distribution plan can be used as the foundation of traffic lights command system regulation and control traffic lights make-and-break time.The change that described information of vehicles processing server distributes according to urban traffic amount, the driving path of the corresponding on-vehicle vehicle information acquisition apparatus of real time modifying; Described urban traffic amount distribution gradient figure modifies according to the change of vehicle flowrate, in real time to guarantee the optimality of path planning.
Based on a traffic flow control method for above-mentioned traffic flow car networked system, comprise the following steps:
Step 1: the driving that information of vehicles acquisition equipment and driver's man-machine interaction obtain driver is intended to, and information of vehicles obtains equipment, in vehicle travel process, information of vehicles is uploaded to information of vehicles processing server; Described information of vehicles comprises driver drives vehicle intention, Vehicle Speed and geographic position; Information of vehicles processing server is that each uploads the information of vehicles acquisition device numbering X of information of vehicles
i; Be each road number L according to the actual conditions in city
j; Each crossing numbering C
k.
Step 2: the geographic position at vehicle place and travel speed are plotted on urban traffic map by the information of vehicles that information of vehicles processing server is uploaded according to information of vehicles acquisition equipment, obtain the scatter diagram of urban transportation vehicle flowrate; Information of vehicles processing server according to the scatter diagram of urban transportation vehicle flowrate, to being in same road L
jon information of vehicles obtain the information of vehicles that provides of equipment obtains current time t urban transportation vehicle flowrate distribution plan by 3 D stereo reconstruct
Step 3: information of vehicles processing server is according to the urban transportation vehicle flowrate distribution plan of current time t
the Grad of the flow distribution without road place is set to 0, obtains urban transportation vehicle flowrate distribution gradient figure
predict according to the driving intention of driver, travel speed, geographic position and the urban transportation vehicle flowrate distribution gradient figure of fixed driving path to t+ Δ t, obtain the urban transportation vehicle flowrate distribution gradient prognostic chart of t+ Δ t
Step 4: the information of vehicles that information of vehicles processing server provides according to information of vehicles acquisition equipment, the urban transportation vehicle flowrate distribution gradient figure of current t
and the urban transportation vehicle flowrate distribution gradient prognostic chart of t+ Δ t
by choosing the road L of Grad higher than threshold value δ
jfor each provides the information of vehicles of information of vehicles to obtain equipment pre-planning many driving path, whether meet according to running distance the maximum vehicle operating range l being less than driver's requirement to the driving path of each pre-planning to judge, determine to return to the optimum driving path that information of vehicles obtains equipment according to the driving intention of driver.
Step 5: information of vehicles processing server by the optimum of each vehicle driving path be transferred to should vehicle information of vehicles obtain equipment, behind driver's select row bus or train route footpath, the path that information of vehicles processing server obtains selected by each vehicle of equipment feedback according to information of vehicles upgrades urban transportation vehicle flowrate distribution gradient figure, obtains the urban transportation vehicle flowrate distribution gradient figure of t+ Δ t
by urban transportation vehicle flowrate distribution gradient figure
the control of traffic flow can be realized.
Wherein, described 3 D stereo reconstruct refers to using the city two-dimensional map in this city as X-Y plane, using the wagon flow value on every bar road as the value on Z axis to obtain three-dimensional city special bus profile of flowrate.
Described urban transportation vehicle flowrate distribution gradient figure
by to urban transportation vehicle flowrate distribution plan
ask gradient, and the vehicle flowrate distribution gradient value without road place is set to 0 gained, its formula is as follows:
The urban transportation vehicle flowrate distribution gradient figure of described t+ Δ t
refer to that the value of Δ t can artificially set at the urban transportation vehicle flowrate distribution gradient figure after certain hour Δ t; The urban transportation vehicle flowrate distribution gradient prognostic chart of described t+ Δ t
refer to the geographic position now residing according to all vehicles, travel speed and the geographic position residing for fixed each car of driving path analysis t+ Δ t and travel speed, the urban transportation vehicle flowrate distribution plan of comprehensive current t, thus the urban transportation vehicle flowrate distribution gradient prognostic chart obtaining t+ Δ t.
Described fixed driving path refers in upper once routing, to each car, the optimum driving path that driver returns according to information of vehicles processing server, the driving path chosen according to the wish of oneself, and feed back to information of vehicles processing server by information of vehicles acquisition equipment.
Described optimum driving path refer to meet driver drive a vehicle intention prerequisite under, when vehicle flowrate fluctuates in the certain limit of vehicle flowrate minimum value, the path that running distance is the shortest; Described vehicle flowrate minimum value refers in the urban transportation vehicle flowrate distribution gradient figure of current time and the urban transportation vehicle flowrate distribution gradient prognostic chart of subsequent time, the value of the vehicle flowrate corresponding to road that the vehicle flowrate distribution gradient value on road is the highest; The certain limit of described vehicle flowrate minimum value is selected by the value of setting Grads threshold δ, when the Grad corresponding to road is higher than threshold value δ, thinks that the wagon flow value corresponding to this road is in scope; Described maximum vehicle operating range l refers to the driving intention obtaining the driver that equipment is uploaded according to information of vehicles, the ultimate range that the driver calculated by analyzing the current residing geographic position of driver, Vehicle Speed, destination and time restriction can travel before reaching a destination.
Described threshold value δ can do in good time change according to extraneous factors such as the geographic position of locality, weather conditions, time and traffics.
The invention has the beneficial effects as follows: the traffic flow car networked system that the present invention is based on gradient fields, the car of each loading vehicles information acquisition apparatus is made to become the sensor of monitoring Forecast of Urban Traffic Flow, by the confluence analysis of data, build overall vehicle flowrate distribution gradient figure, help vehicle to cook up best traffic route, effectively avoid traffic congestion region.From the angle of driver, driver without the need to knowing that upcoming traffic situation just can obtain best stroke route from information of vehicles acquisition equipment, thus saves the travel time and obtains good trip experience; From the angle of traffic administration, the structure of overall wagon flow spirogram helps managerial personnel to hold the wagon flow situation of the overall situation well, and convenient overall regulation and control, vehicle independently avoids congestion regions on the other hand, is conducive to releiving fast of traffic congestion.
Accompanying drawing explanation
Fig. 1 is system chart of the present invention;
Fig. 2 is the workflow diagram of information of vehicles processing server of the present invention;
Fig. 3 is the schematic diagram of embodiments of the invention.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearly, below we the invention will be further described by reference to the accompanying drawings.
As shown in Figure 1, a kind of traffic flow car networked system based on gradient fields of the present invention, comprising: information of vehicles obtains equipment, information of vehicles processing server and information communication network system;
Described information of vehicles obtains equipment for obtaining information of vehicles; Described information of vehicles comprises the driving intention of Vehicle Speed, geographic position and driver; Described travel speed is velocity magnitude and the velocity reversal of vehicle; Described driving intention comprises destination and time restriction, and described time restriction is that driver expects the required time that arrives at the destination; Described information of vehicles obtains equipment and provides information to information of vehicles processing server, and obtains the optimum driving path of vehicle;
Described information of vehicles processing server is after obtaining the information of vehicles on each road in city, by asking gradient to obtain urban transportation vehicle flowrate distribution gradient figure to the urban transportation vehicle flowrate distribution plan of gained, and prediction is carried out to the urban transportation vehicle flowrate distribution gradient figure of subsequent time obtain urban transportation vehicle flowrate distribution gradient prognostic chart, by judging whether urban transportation vehicle flowrate distribution gradient figure and prognostic chart meet that to be less than a people be the road that the condition selection of the threshold value of setting has feasibility, the distance that will travel the road with feasibility and the maximum operating range of driver compare, the path that the distance that the road with feasibility will travel is less than maximum operating range is optimum driving path, the workflow diagram of information of vehicles processing server as shown in Figure 2.
It is on-vehicle vehicle information acquisition apparatus or hand-hold vehicle information acquisition apparatus that described information of vehicles obtains equipment.
Described hand-hold vehicle information acquisition apparatus is the mobile intelligent terminal such as smart mobile phone, panel computer.
Described destination is single objective or multiple objective according to driver drives vehicle intention successively arrangement.
Described information of vehicles obtains that equipment is provided directly to information of vehicles processing server by information communication network, obtaining information or obtain via information of vehicles that equipment supplier provides to information of vehicles processing server, obtaining information.
Described vehicle flowrate distribution plan can be used as the foundation of traffic lights command system regulation and control traffic lights make-and-break time.The change that described information of vehicles processing server distributes according to urban traffic amount, the driving path of the corresponding on-vehicle vehicle information acquisition apparatus of real time modifying; Described urban traffic amount distribution gradient figure modifies according to the change of vehicle flowrate, in real time to guarantee the optimality of path planning.
Embodiment
Suppose currently have three cars the first and second the third, information of vehicles obtains device numbering and is respectively X
1, X
2, X
3, wherein the first and second two cars are in t in the same time
0set out, travel speed is respectively V
1, V
2, the third car is in t
1moment sets out, and travel speed is V
2, and meet V between three cars
2>V
1, t
1<t
0, the driving intention of driver was and arrived destination D before the T moment, and feasible path is L
1, L
2, L
3, the length relation of three paths is L
3>L
2>L
1; The concrete grammar realizing vehicle flowrate control is as follows:
(1) travel speed uploaded of the information of vehicles processing server vehicle that travels on each path according to current time and the vehicle that is about to enter each path, analyzing and processing and upgrade the traffic in each path, be specially: in this city, the information of vehicles of itself is transferred to information of vehicles processing server by communication system by all vehicles, wherein, information of vehicles comprises current present position, driving intention, travel speed.
(2) geographic position of uploading in information of vehicles processing server process this cities all and travel speed are plotted on urban traffic map, obtain the scatter diagram of urban transportation vehicle flowrate; Information of vehicles processing server, according to the scatter diagram of urban transportation vehicle flowrate, carries out Effective judgement and homogenization process to the vehicle speed information that the information of vehicles acquisition equipment be on same road provides, obtains current t
0the urban transportation vehicle flowrate distribution plan in moment
(3) pass through current t
0the urban transportation vehicle flowrate distribution plan in moment
process, obtain current t
0the urban transportation vehicle flowrate distribution gradient figure in moment
information of vehicles processor according to the driving intention of driver, travel speed, geographic position and fixed driving path to t
1the urban transportation vehicle flowrate distribution gradient figure in moment predicts, obtains t
1the urban transportation vehicle flowrate distribution gradient prognostic chart in moment
reasonably to plan the driving path of vehicle in advance.
(4) be that the driving path of the first and second the third three cars is planned, and realize traffic dispersion, specifically comprise following sub-step:
(4.1) according to information of vehicles, current t that information of vehicles acquisition equipment provides
0the urban transportation vehicle flowrate distribution gradient figure in moment
and t
1the urban transportation vehicle flowrate distribution gradient prognostic chart in moment
choose the road L of Grad higher than threshold value δ
j, the path of gained has feasibility.
(4.2) if the vehicle flowrate obtained according to urban transportation vehicle flowrate distribution plan is relatively little and vehicle flowrate continues less path is within a certain period of time L
1, L
2, L
3, as shown in Figure 3, according to the driving intention of the first and second the third three cars, the maximum vehicle operating range that can obtain the first and second the third three cars is respectively: l
1=V
1(T-t
0), l
2=V
2(T-t
0), l
3=V
2(T-t
1), if selected path is less than maximum vehicle operating range, then this path is feasible, otherwise this path is infeasible.Suppose L
1<L
2<l
1<L
3, l
2>L
3, l
3>L
3, so first car feasible path is L
1, L
2, second third liang of car feasible path is respectively L
1, L
2, L
3.
(4.3) due to t
1<t
0, namely the third car sets out to destination prior to first and second liang of cars, therefore preferentially plans the third bus or train route footpath.Suppose that the vehicle flowrate relation in now each path meets L
3<L
1=L
2pay the utmost attention to the path that vehicle flowrate is minimum, so the optimal path of the third car is L
3.When the third car select row bus or train route footpath, upgrade urban transportation vehicle flowrate distribution gradient figure, and to take this as a foundation be the selected optimum driving paths of first and second liang of cars.
(4.4) optimum driving path judgment rule:
When the running distance in all paths meet be less than maximum vehicle operating range time, select the minimum path of vehicle flowrate as optimum driving path;
Meet when only having the running distance of part path when being less than maximum vehicle operating range, then the path satisfied condition is carried out to the comparison of vehicle flowrate size, select the minimum path of vehicle flowrate as optimum driving path;
When the running distance in all paths is all greater than maximum vehicle operating range, then the path selecting vehicle flowrate minimum is as optimum driving path.
When the vehicle flowrate in all paths all satisfies condition, so judge running distance, the shortest path of the running distance of selection is as optimum driving path;
When only having the vehicle flowrate of part path to satisfy condition, so judge the running distance in the path satisfied condition, the shortest path of the running distance of selection is as optimum driving path;
When the vehicle flowrate in all paths does not satisfy condition, then the shortest path of the running distance selected is as optimum driving path.
Described vehicle flowrate is minimum to be referred at current t
0the urban transportation vehicle flowrate distribution gradient figure in moment
and t
1the urban transportation vehicle flowrate distribution gradient prognostic chart in moment
in, Grad is the highest.
According to above judgment principle, in this example, the optimum driving path of first car is L
1, the optimum driving path of second car is L
2, the optimum driving path of the third car is L
3.
(5) optimum of each vehicle driving path is transferred to the information of vehicles of vehicle obtaining equipment by information of vehicles processing server, and after driver selectes path, and display line bus or train route footpath on the display screen obtaining equipment at this information of vehicles.Meanwhile, the path that information of vehicles processing server obtains selected by each vehicle of equipment feedback according to information of vehicles upgrades urban transportation vehicle flowrate distribution gradient figure, obtains t
1the urban transportation vehicle flowrate distribution gradient figure in moment
for routing is prepared next time.Now, a circulation of Traffic flux detection is accomplished, and enters next circulation.
Claims (8)
1. based on a traffic flow car networked system for gradient fields, it is characterized in that, comprising: information of vehicles obtains equipment, information of vehicles processing server and information communication network system;
Described information of vehicles obtains equipment for obtaining information of vehicles; Described information of vehicles comprises the driving intention of Vehicle Speed, geographic position and driver; Described travel speed is velocity magnitude and the velocity reversal of vehicle; Described driving intention comprises destination and time restriction, and described time restriction is that driver expects the required time that arrives at the destination; Described information of vehicles obtains equipment and provides information to information of vehicles processing server, and obtains the optimum driving path of vehicle;
Described information of vehicles processing server will obtain real-time urban traffic amount distribution gradient figure after the information of vehicles analyzing and processing of acquisition, then according to urban traffic amount distribution gradient figure and information of vehicles, for each provides the information of vehicles of information of vehicles to obtain facility planning optimum driving path.
2. the traffic flow car networked system based on gradient fields according to claim 1, is characterized in that, it is on-vehicle vehicle information acquisition apparatus or hand-hold vehicle information acquisition apparatus that described information of vehicles obtains equipment.
3. the traffic flow car networked system based on gradient fields according to claim 2, it is characterized in that, described hand-hold vehicle information acquisition apparatus is the mobile intelligent terminals such as smart mobile phone, panel computer, Intelligent bracelet.
4. the traffic flow car networked system based on gradient fields according to claim 1, is characterized in that, described destination is single objective or multiple objective according to driver drives vehicle intention successively arrangement.
5. the traffic flow car networked system based on gradient fields according to claim 1, it is characterized in that, described information of vehicles obtains that equipment is provided directly to information of vehicles processing server by information communication network, obtaining information or obtain via information of vehicles that equipment supplier provides to information of vehicles processing server, obtaining information.
6. the traffic flow car networked system based on gradient fields according to claim 1, it is characterized in that, described information of vehicles processing server is after obtaining the information of vehicles on each road in city, by asking gradient to obtain urban transportation vehicle flowrate distribution gradient figure to the urban transportation vehicle flowrate distribution plan of gained, and prediction is carried out to the urban transportation vehicle flowrate distribution gradient figure of subsequent time obtain urban transportation vehicle flowrate distribution gradient prognostic chart, by judging whether urban transportation vehicle flowrate distribution gradient figure and prognostic chart meet that to be less than a people be the road that the condition selection of the threshold value of setting has feasibility, the distance that will travel the road with feasibility and the maximum operating range of driver compare, the path that the distance that the road with feasibility will travel is less than maximum operating range is optimum driving path.
7. utilize a method of carrying out Traffic flux detection described in claim 1 based on gradient fields traffic flow car networked system, it is characterized in that, comprise the following steps:
Step 1: the driving that information of vehicles acquisition equipment and driver's man-machine interaction obtain driver is intended to, and information of vehicles obtains equipment, in vehicle travel process, information of vehicles is uploaded to information of vehicles processing server; Described information of vehicles comprises driver drives vehicle intention, Vehicle Speed and geographic position; Information of vehicles processing server is that each uploads the information of vehicles acquisition device numbering X of information of vehicles
i; Be each road number L according to the actual conditions in city
j; Each crossing numbering C
k;
Step 2: the geographic position at vehicle place and travel speed are plotted on urban traffic map by the information of vehicles that information of vehicles processing server is uploaded according to information of vehicles acquisition equipment, obtain the scatter diagram of urban transportation vehicle flowrate; Information of vehicles processing server according to the scatter diagram of urban transportation vehicle flowrate, to being in same road L
jon information of vehicles obtain the information of vehicles that provides of equipment obtains current time t urban transportation vehicle flowrate distribution plan by 3 D stereo reconstruct
Step 3: information of vehicles processing server is according to the urban transportation vehicle flowrate distribution plan of current time t
the Grad of the flow distribution without road place is set to 0, obtains urban transportation vehicle flowrate distribution gradient figure
predict according to the driving intention of driver, travel speed, geographic position and the urban transportation vehicle flowrate distribution gradient figure of fixed driving path to t+ Δ t, obtain the urban transportation vehicle flowrate distribution gradient prognostic chart of t+ Δ t
Step 4: the information of vehicles that information of vehicles processing server provides according to information of vehicles acquisition equipment, the urban transportation vehicle flowrate distribution gradient figure of current t
and the urban transportation vehicle flowrate distribution gradient prognostic chart of t+ Δ t
by choosing the road L of Grad higher than threshold value δ
jfor each provides the information of vehicles of information of vehicles to obtain equipment pre-planning many driving path, whether meet according to running distance the maximum vehicle operating range l being less than driver's requirement to the driving path of each pre-planning to judge, determine to return to the optimum driving path that information of vehicles obtains equipment according to the driving intention of driver;
Step 5: information of vehicles processing server by the optimum of each vehicle driving path be transferred to should vehicle information of vehicles obtain equipment, behind driver's select row bus or train route footpath, the path that information of vehicles processing server obtains selected by each vehicle of equipment feedback according to information of vehicles upgrades urban transportation vehicle flowrate distribution gradient figure, obtains the urban transportation vehicle flowrate distribution gradient figure of t+ Δ t
by urban transportation vehicle flowrate distribution gradient figure
the control of traffic flow can be realized.
8. traffic flow control method according to claim 7, is characterized in that, described optimum driving path refer to meet driver drive a vehicle intention prerequisite under, when vehicle flowrate fluctuates in the certain limit of vehicle flowrate minimum value, the path that running distance is the shortest; Described vehicle flowrate minimum value refers in the urban transportation vehicle flowrate distribution gradient figure of current time and the urban transportation vehicle flowrate distribution gradient prognostic chart of subsequent time, the value of the vehicle flowrate corresponding to road that the vehicle flowrate distribution gradient value on road is the highest; The certain limit of described vehicle flowrate minimum value is selected by the value of setting Grads threshold δ, when the Grad corresponding to road is higher than threshold value δ, thinks that the wagon flow value corresponding to this road is in scope; Described maximum vehicle operating range l refers to the driving intention obtaining the driver that equipment is uploaded according to information of vehicles, the ultimate range that the driver calculated by analyzing the current residing geographic position of driver, Vehicle Speed, destination and time restriction can travel before reaching a destination.
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