CN110837904A - Traffic planning control system and method - Google Patents
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Abstract
The invention discloses a traffic planning control system, which comprises: the road network data acquisition unit is used for acquiring a road network model and road network data; the traffic tool motion information management and path planning unit is used for acquiring motion information of a traffic tool, acquiring road network traffic flow data according to the motion information and a set period, and planning a reference traffic path by combining a road network model and the road network data; the traffic flow analysis unit is used for determining the flow data of each reference traffic path according to the reference traffic path determined by the vehicle motion information management and path planning unit and the road network traffic flow data; and the traffic control unit is used for determining and outputting the split ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path determined by the traffic flow analysis unit and the road network data acquired by the road network data acquisition unit. The invention also discloses a traffic planning control method.
Description
Technical Field
The invention relates to the field of traffic control, in particular to a traffic planning control technology.
Background
Along with the development of social economy, urban construction is faster and faster, and the function of urban road traffic in supporting urban development is more and more prominent. How to manage traffic, especially when a special traffic event occurs, how to adjust the traffic flow of the whole traffic network to prevent the special traffic event from spreading, and not to cause a new special traffic event, which becomes a difficult problem of urban road traffic management.
In the existing scheme, a method for simulating and planning urban traffic based on sampling survey data and assumed owner selection probability, a method for alleviating the overstocked state of vehicles at the intersection as much as possible by means of modifying the phase timing sequence of a traffic signal lamp and the like, a method for avoiding the deadlock of the traffic at the intersection as much as possible, and a method for evacuating vehicles at special traffic events based on shortest path search are mainly adopted. The methods firstly neglect how to control urban traffic and how to guide traffic flow, secondly only solve the congestion of local traffic hubs, and can not really solve the diffusion problem of traffic special events.
Therefore, how to realize automatic planning and control of urban traffic according to the traffic flow becomes a problem to be solved urgently.
Disclosure of Invention
The invention relates to a traffic planning control system, which comprises:
the road network data acquisition unit is used for acquiring a road network model and road network data, wherein the road network data comprises road network region information, road network street information, traffic intersection information in a road network and the relationship among the road network data;
the vehicle motion information management and path planning unit is used for acquiring motion information of a vehicle, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining a road network model and road network data acquired by the road network data acquisition unit, and acquiring attribute information of the reference traffic path;
the traffic flow analysis unit is used for determining the flow data of each reference traffic path according to the reference traffic path determined by the vehicle motion information management and path planning unit and the road network traffic flow data;
and the traffic control unit is used for determining and outputting the split ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path determined by the traffic flow analysis unit and the road network data acquired by the road network data acquisition unit.
The vehicle motion information management and path planning unit further comprises:
the vehicle motion information acquisition module is used for acquiring motion information of a vehicle, wherein the motion information comprises motion track information, motion time information and motion starting and stopping point information of the vehicle;
the road network traffic flow acquisition module is used for acquiring the motion trail information and the motion start and stop point information of the vehicles in a set period and counting the mean value of the path vehicles corresponding to the motion trail information and the motion start and stop point information in the period;
and the path planning module is used for identifying all traffic intersections through which the vehicles move according to the movement track information and the movement starting and stopping point information by combining the road network model and the road network data, planning a preset number of adjacent identified traffic intersections into a reference traffic path, wherein the attribute information of the reference traffic path comprises source traffic intersections, destination traffic intersections, observed traffic intersections and the percentage of the traffic flow carried by the path.
The method for determining the flow data of each reference traffic path by the traffic flow analysis unit specifically comprises the following steps:
and determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the directional reference traffic path flow data.
The traffic control unit further includes:
and the split determination module is used for determining the ratio a of the traffic volume of the direction reference traffic path to the street length of the reference traffic path in the road network street information, determining the sum b of the traffic volume of all directions and the street length of the reference traffic path in the road network street information, and determining the ratio of the ratio a to the sum b as the split.
And the split output module is used for outputting the split at the observation traffic intersection in the corresponding direction of the reference traffic path.
Preferably, the system further comprises:
the special event management unit is used for acquiring traffic special event information data, and the special event information data comprises the time and place information of the special event;
and the traffic flow analysis unit determines the flow data of each reference traffic path according to the special event data information acquired by the special event management unit and by combining the reference traffic path and the flow analysis result.
The invention also discloses a traffic planning control method, which comprises the following steps:
acquiring a road network model and road network data, wherein the road network data comprises road network region information, road network street information, traffic intersection information in a road network and a relation between the road network data;
acquiring motion information of a vehicle, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining the acquired road network model and the road network data, and acquiring attribute information of the reference traffic path;
determining flow data of each reference traffic path according to the reference traffic path and the road network traffic flow data;
and determining and outputting the split green ratio of each intersection in each reference traffic path according to the flow data of each reference traffic path and the acquired road network data.
Further, the method for acquiring the motion information of the transportation means, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining the acquired road network model and the road network data, and acquiring the attribute information of the reference traffic path specifically comprises the following steps:
acquiring motion information of a vehicle, wherein the motion information comprises motion track information, motion time information and motion starting and stopping point information of the vehicle;
acquiring the motion trail information and the motion start and stop point information of the vehicles in a set period, and counting the mean value of the vehicles on the path corresponding to the motion trail information and the motion start and stop point information in the period;
and marking all traffic intersections moved by the vehicle according to the movement track information and the movement starting and stopping point information by combining the road network model and the road network data, planning a preset number of adjacent marked traffic intersections into a reference traffic path, wherein the attribute information of the reference traffic path comprises the percentage of source traffic intersections, destination traffic intersections, observed traffic intersections and path-borne traffic flows.
Specifically, the method for determining the traffic data of each reference traffic path specifically includes:
and determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the directional reference traffic path flow data.
Further, the method for determining and outputting the split green ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path and the acquired road network data specifically comprises the following steps:
determining the ratio a of the traffic volume data of the direction reference traffic path to the street length of the reference traffic path in the road network street information, determining the sum b of the traffic volume of all directions and the street length of the reference traffic path in the road network street information, and determining the ratio of the ratio a to the sum b as a split green ratio;
and outputting the split ratio at the observation traffic intersection in the corresponding direction of the reference traffic path.
Preferably, the method further comprises:
acquiring traffic special event information data, wherein the special event information data comprises time and place information of a special event;
and determining the flow data of each reference traffic path according to the special event data information acquired by the special event management unit and by combining the reference traffic path and the flow analysis result.
The invention provides a traffic planning control system and a traffic planning control method. The system provided by the invention firstly counts the vehicle passing condition among streets in the road network domain, then plans the vehicle passing line among the streets, obtains the vehicle passing condition of each direction of each traffic intersection in the road network domain, and finally determines the traffic signal lamp phase green signal ratio of each traffic intersection according to the vehicle passing condition of each direction of each traffic intersection, thereby realizing the planning and control of the traffic flow of the whole road network. When a special traffic event occurs, the system provided by the invention only needs to adjust the OD traffic flow which is supposed to be carried by the street where the special traffic event occurs to other streets, and then obtains the traffic conditions of all directions of all traffic intersections in the road network domain, and finally determines the traffic signal lamp phase green signal ratio of all traffic intersections according to the traffic conditions of all directions of all traffic intersections, thereby realizing the evacuation processing of the special traffic event of the whole road network. The system provided by the invention can effectively relieve traffic congestion.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a traffic planning control system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a system according to a second embodiment of the present disclosure;
FIG. 3 is a schematic view of a traffic network according to a third embodiment of the present application;
fig. 4 is a schematic flow chart of a traffic planning control method according to a fourth embodiment of the present application.
Fig. 5 is a schematic flow chart of a method provided in the fifth embodiment of the present application;
fig. 6 is a schematic flowchart of a method according to a sixth embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, fig. 1 is a traffic planning control system according to an embodiment of the present application:
the road network data acquisition unit 1 is configured to acquire a road network model and road network data, where the road network data includes road network region information, road network street information, traffic intersection information in a road network, and a relationship between the road network data.
And the vehicle motion information management and path planning unit 2 is used for acquiring motion information of a vehicle, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining the road network model and the road network data acquired by the road network data acquisition unit, and acquiring attribute information of the reference traffic path.
And the traffic flow analysis unit 3 is used for determining the flow data of each reference traffic path according to the reference traffic path determined by the vehicle motion information management and path planning unit and the road network traffic flow data.
And the traffic control unit 4 is used for determining and outputting the split ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path determined by the traffic flow analysis unit and the road network data acquired by the road network data acquisition unit.
Further, in order to better describe the parking lot management platform of the present invention, a second embodiment of the present invention is provided, as shown in fig. 2.
The road network data acquisition unit 1 is configured to acquire a road network model and road network data, where the road network data includes road network region information, road network street information, traffic intersection information in a road network, and a relationship between the road network data.
The road network data acquisition module receives or acquires external road network model data, as shown in the following table:
TABLE 2-1
There are three intradomain wire mesh models: line network combining main line and lightering line, loop line or tangent line, road network of radial line, chessboard type road network.
The vehicle motion information management and path planning unit 2 further includes:
the vehicle motion information acquiring module 201 is configured to acquire motion information of a vehicle, where the motion information includes motion trajectory information, motion time information, and motion start and stop point information of the vehicle.
The motion information of the vehicles can be acquired from the outside, and the starting point traffic intersection and the ending point traffic intersection of the vehicle motion track are acquired, wherein the acquisition object can be the position reported by vehicle-mounted software, and can also be the vehicle position information acquired by road equipment.
Tables 2 to 2
The road network traffic flow obtaining module 202 is configured to obtain motion trajectory information and motion start and stop point information of the vehicles in a set period, and count a mean value of the path vehicles corresponding to the motion trajectory information and the motion start and stop point information in the period.
Tables 2 to 3
The set period can be a fixed period, such as one month, or an unfixed period, and can be set according to actual requirements, and the average number of vehicles from the starting point street section to the track starting point traffic intersection, the average number of vehicles from the track starting point traffic intersection to the track ending point traffic intersection, the average number of vehicles from the track ending point traffic intersection to the ending point street section, and the small period of time of the track starting point time of the track crossing hours are counted.
The path planning module 203 identifies all traffic intersections through which the transportation vehicle moves according to the movement track information and the movement start and stop point information in combination with the road network model and the road network data, plans a predetermined number of adjacent identified traffic intersections into a reference traffic path, and the attribute information of the reference traffic path includes a source traffic intersection, a destination traffic intersection, an observation traffic intersection and a path-bearing traffic flow percentage.
Tables 2 to 4
And sequentially arranging three traffic intersections in each path into a group to obtain the form direction of each traffic intersection of each path, wherein the traffic intersection with the minimum sequence number in the sequentially arranged three traffic intersections is a source traffic intersection, the traffic intersection with the minimum sequence number is a source traffic path, the traffic intersection with the minimum sequence number is a going traffic intersection, and the traffic path in the middle of the sequence number is an observation traffic intersection.
Using a source traffic intersection as a starting point traffic intersection, and using an observation traffic intersection as an end point traffic intersection association table 2-4 and a table 2-1 to associate to obtain source street segment information; similarly, the data in tables 2-5 are formed by using the traffic intersection observed as the starting traffic intersection and the traffic intersection going to as the ending traffic intersection to associate tables 2-4 and 2-1 with the street segment information going to.
Tables 2 to 5
| Path identification | Observation of traffic intersection markings | Source street segment identification | Length of source street segment | Go to street segment sign |
And the traffic flow analysis unit 3 is used for determining the flow data of each reference traffic path according to the reference traffic path determined by the vehicle motion information management and path planning unit and the road network traffic flow data.
And determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the flow data of the directional reference traffic path.
The traffic path data with directions can be the incoming direction and the outgoing direction, and can also be the ascending direction or the descending direction, which is used for expressing different directions of the traffic vehicles running from and to.
The traffic flow analysis unit can analyze traffic flow information of the traffic intersection at the beginning of each statistical cycle, and firstly, the time characteristic 'small time interval', the geographic position characteristic 'starting point traffic intersection identifier' and 'important traffic intersection identifier' are used for being associated to obtain the average traffic flow borne by each path, wherein the average measured flow borne by each path is the average vehicle number of the path and the percentage of the traffic flow borne by the path. These data are clarified to give tables 2-6.
Tables 2 to 6
The traffic flow analysis module uses the hour period, the observed traffic intersection mark, the source street segment mark and the destination street segment mark to gather the average traffic flow of all paths to obtain the total average traffic flow from the source street segment to the destination street segment of the observed traffic intersection in the hour period.
For each traffic intersection, the traffic flow analysis unit may define a direction for the traffic intersection, and describe the direction of the traffic intersection by using the direction, the traffic intersection identifier, and the street segment identifier. As shown in tables 2-7.
Tables 2 to 7
| Direction of rotation | Traffic intersection identification | Street segment 1 sign | Street segment 2 sign |
The traffic control unit 4 further includes:
the split determination module 401 is configured to determine a street length ratio a between the traffic data of the direction reference traffic path and the reference traffic path in the road network street information, determine a sum b between the traffic data of all directions and the street length ratio of the reference traffic path in the road network street information, and determine that the ratio of the ratio a to the sum b is a split ratio.
For each traffic intersection, one direction comprises two parts, namely a street segment 1 as a source and a street segment 1 as a destination, a street segment 2 as a source and a street segment 1 as a destination, and the largest of the two parts is taken as the direction traffic-to-street segment length ratio. As shown in tables 2-8.
Tables 2 to 8
Therefore, the green signal ratio of the traffic signal lamp in each direction at the intersection can be determined as follows:
ratio of traffic flow to street segment length/SUM (ratio of traffic flow to street segment length)
A split output module 402 for outputting the split at the observed traffic intersection in the corresponding direction of the reference traffic path.
Preferably, in order to be able to plan and control the traffic more comprehensively, the system of the present invention may further include.
The special event management unit 5 is configured to acquire traffic special event information data, where the special event information data includes information of time and place of occurrence of a special event.
The special event information data mainly comprises special event occurrence time and place information, the time information can comprise special event occurrence starting time and special event occurrence ending time, the place information can comprise a path identifier where the special event is located, and by combining the road network information in the invention, a starting point traffic intersection identifier and an ending point traffic intersection identifier influenced by the special event can be obtained, so that the influenced traffic path can be further obtained.
When a special event occurs, the traffic flow analysis unit determines the flow data of each reference traffic path according to the special event data information acquired by the special event management unit and by combining the reference traffic path and the flow analysis result.
After the traffic paths influenced by the special events are known, the traffic flow analysis unit can analyze the flow information of the traffic paths according to the traffic paths and evenly distribute the traffic flow carried by the influenced traffic paths to the rest traffic paths.
The traffic intersection traffic flow analysis module observes the average traffic flow of all paths summarized by the traffic intersection identification, the source street segment identification and the destination street segment identification by using a small time period to obtain the total average traffic flow from the source street segment to the destination street segment of the observed traffic intersection in the small time period. As shown in tables 2-9.
Tables 2 to 9
The obtained total average traffic flow can be used for calculation and output of the split ratio.
In order to better illustrate the invention, the third embodiment is given below in conjunction with examples.
A traffic network is shown in FIG. 3:
the road network data acquisition unit receives externally imported road network model data, as shown in tables 1, 2, 3 and 4:
TABLE 3-1
| Region identification | Street segment identifier |
| Region 1 | Street segment 11-12 |
| Region 1 | Street segment 12-11 |
| …… | …… |
| Region 1 | Street segment 23-33 |
| Region 1 | Street segment 33-32 |
| Region 1 | Street segment 32-33 |
| Region 1 | Street segment 33-32 |
| Region 1 | Street segment 34-33 |
| Region 1 | Street segment 33-34 |
| Region 1 | Street segment 43-33 |
| Region 1 | Street segment 33-43 |
| …… | …… |
TABLE 3-2
Tables 3 to 3
| Region identification | Traffic intersection identification |
| …… | …… |
| Region 1 | Traffic intersection 33 |
| …… | …… |
Tables 3 to 4
| Region identification | Intradomain wire network model |
| Region 1 | Chessboard type road network |
The vehicle motion information acquisition module acquires a starting point traffic intersection and a finishing point traffic intersection of a vehicle motion track from the outside. The acquisition object can be the reported position of vehicle-mounted software or the license plate number captured by a roadside camera. The present invention does not limit the manner of acquiring the start point and end point information of a specific vehicle movement trajectory. The collected motion trajectory information is shown in tables 3-5.
Tables 3 to 5
The road network traffic flow obtaining module counts the average number of vehicles from the starting point street section to the track starting point traffic intersection, the average number of vehicles from the track starting point traffic intersection to the track ending point traffic intersection and the average number of vehicles from the track ending point traffic intersection to the ending point street section in each hour every day according to a fixed period (for example, every month, the invention is not limited to a specific fixed period). The tracks of the crossing hours are counted by the small time period of the starting time of the motion track. As shown in fig. 3-6.
Tables 3 to 6
The path planning module receives planned paths from each starting point traffic intersection to the end point traffic intersection in each time period and the carried traffic flow percentage from the outside. As shown in fig. 3-7.
Tables 3 to 7
And the path planning module identifies all traffic intersections through which the vehicle moves according to the motion track information and the motion start and stop point information by combining the road network model and the road network data and gives serial numbers. As shown in tables 3-8.
Tables 3 to 8
The path planning module takes the three traffic intersections in sequence in each path in the data in tables 3-8 as a group to obtain the form direction of each traffic intersection of each path, namely the traffic intersection with the minimum sequence number in the three traffic intersections in sequence is taken as the source traffic intersection, the traffic intersection with the minimum sequence number is taken as the source traffic path, the traffic intersection with the minimum sequence number is the going traffic intersection, and the traffic path in the middle of the sequence numbers is the observation traffic intersection, so as to form the data in tables 3-9. Tables 3 to 9
| Path identification | Observation of traffic intersection markings | Source traffic intersection identification | Go to traffic intersection sign |
| Route 1 | Traffic intersection 33 | Traffic intersection 23 | Traffic intersection 34 |
| Route 3 | Traffic intersection 33 | Traffic intersection 43 | Traffic intersection 23 |
| …… | …… | …… | …… |
Using a source traffic intersection as a starting point traffic intersection, and using an observation traffic intersection as an end point traffic intersection to obtain source street segment information; the traffic intersection using "observed traffic intersection" as starting point and "going traffic intersection" as ending point are used to obtain the information of going street segments to form data in tables 3-10
Tables 3 to 10
| Path identification | Observation of traffic intersection markings | Source street segment identification | Length of source street segment | Go to street segment sign |
| Route 1 | Traffic intersection 33 | Street segment 23-33 | 500 m | Street segment 33-34 |
| Route 3 | Traffic intersection 33 | Street segment 43-33 | 700 m | Street segment 33-23 |
| …… | …… | …… | …… | …… |
The special event management unit collects traffic special event information from the outside.
Tables 3 to 11
| Special event identification | Special event start time | End time of special event | Street segment identifier |
| Special event 1 | 20170503 0000 | 20170504 0000 | Street segment 32-42 |
The traffic flow analysis unit analyzes traffic flow at a traffic intersection at the beginning of each statistical period and upon receiving traffic special event information data. If the statistical period begins to have the traffic special event, the analysis is performed according to the normal condition and then based on the traffic special event.
The traffic flow analysis unit first uses data association of "a small period of time", "a start point traffic intersection identifier", and "an end point traffic intersection identifier" to obtain an average traffic flow carried by each route, which is an average number of vehicles in the route and a percentage of traffic flow carried by the route, as shown in tables 3 to 12.
Tables 3 to 12
And obtaining tables 3-13 by using the data of the path identifier association tables 3-10 and tables 3-12
Watch 13
The traffic flow analysis unit uses the hours to observe the traffic intersection identification, the source street segment identification, and the destination street segment identification to summarize the average traffic flow of all the routes to obtain the total average traffic flow from the source street segment to the destination street segment of the observed traffic intersection within the hours, as shown in tables 3-14.
Tables 3 to 14
Correlating the information and using "street segment identifier" as "source street segment identifier" or "destination street segment identifier" to derive paths 3-15 affected by the particular event
Tables 3 to 15
| Special event identification | Special event start time | End time of special event | Path identification |
| Special event 1 | 20170503 0000 | 20170504 0000 | Route 2 |
| …… | …… | …… | …… |
The traffic flow analysis unit extracts the influenced start point traffic intersection identification and the influenced end point traffic intersection identification by using the path identification association tables 3-12 and 3-15; extracting the rest paths from the tables 3-12 by using the influenced start point traffic intersection identifications and the influenced end point traffic intersection identifications, and dividing the average traffic flow of the paths carried by the influenced paths into the rest paths to obtain the data of the tables 3-16
Tables 3 to 16
Correlating the data of tables 3-10, 3-16 with the path identifier to obtain tables 3-17
Tables 3 to 17
Using a small time period, observing the average traffic flow of all the paths of the traffic intersection identification, the source street segment identification and the destination street segment identification summary table 3-17 to obtain the total average traffic flow from the source street segment to the destination street segment of the observed traffic intersection in the small time period, and obtaining the table 3-18.
Tables 3 to 18
The split determination module in the traffic control unit uses the total average traffic flow/source street segment length of each record in tables 3-14 and 3-18 as the traffic flow to street segment length ratio, as shown in tables 3-19.
The road traffic flow for which the impact of the special event is taken into account is shown in tables 3-20.
Tables 3 to 19
Tables 3 to 20
For each traffic intersection, defining a direction:
tables 3 to 21
| Direction of rotation | Traffic intersection identification | Street segment 1 sign | Street segment 2 sign |
| Direction 1 | Traffic intersection 33 | Street segment 23-33 | Street segment 33-43 |
| Direction 2 | Traffic intersection 33 | Street segment 23-33 | Street segment 33-32 |
| Direction 3 | Traffic intersection 33 | Street segment 23-33 | Street segment 33-34 |
| …… | …… | …… | …… |
For each traffic intersection, one direction comprises two parts, namely a street segment 1 as a source and a street segment 2 as a destination, a street segment 2 as a source and a street segment 1 as a destination, and the largest of the two parts, namely the 'ratio of the traffic flow to the street segment length', is taken as the 'ratio of the traffic flow to the street segment length'.
Tables 3 to 22
Tables 3 to 23
The green signal ratio of the traffic signal lamp in each direction at the intersection is as follows:
ratio of traffic flow to street segment length/SUM (ratio of traffic flow to street segment length)
In the split determination module, for each observed traffic intersection, if the data of tables 3-23 exists and the time is within the special event occurrence time period, the data of tables 3-23 is used as the standard. If the data of tables 3-23 is not present or the time is not within the special event occurrence time period, then the data of tables 3-22 is used for calculation.
Tables 3 to 24
| For a small period of time | Observation of traffic intersection markings | Direction of rotation | Green ratio of traffic signal lamp |
| 08 | Traffic intersection 33 | Direction 1 | 0.303 |
| 08 | Traffic intersection 33 | Direction 2 | 0.333 |
| 08 | Traffic intersection 33 | Direction 3 | 0.364 |
| …… | …… | …… | …… |
Tables 3 to 25
The green signal ratio output module outputs data in tables 3-24 and 3-25 to be used as a green signal ratio control scheme of the whole network traffic intersection.
According to the invention, the vehicle passing conditions among the streets in the road network domain are firstly counted, then the vehicle passing routes among the streets are planned, the vehicle passing conditions in all directions of all traffic intersections in the road network domain are obtained, and finally the traffic signal lamp phase green signal ratio of each traffic intersection is determined according to the vehicle passing conditions in all directions of all the traffic intersections, so that the whole system for planning and controlling the traffic flow of the road network is realized. The invention also adjusts the OD traffic flow which should be carried by the street with the special traffic event to other streets, obtains the vehicle passing condition of each direction of each traffic intersection in the road network domain, and finally determines the traffic signal lamp phase green signal ratio of each traffic intersection according to the vehicle passing condition of each direction of each traffic intersection, thereby realizing the system for the evacuation processing of the traffic unconventional events of the whole road network.
The invention also discloses a traffic planning control method, as shown in fig. 4.
Step S01: the method comprises the steps of obtaining a road network model and road network data, wherein the road network data comprise road network region information, road network street information, traffic intersection information in a road network and the relation between the road network data.
The road network model and the road network information are basic information, and the road network model is used for describing the shape of the road network, such as a chessboard type, a radial type, a ring type and the like. The road network data is used for describing area information of roads in the model, street information, connection relations between streets, relations between traffic domains and streets, traffic intersection information included in the streets, and the like.
Step S02: the method comprises the steps of obtaining movement information of a vehicle, obtaining road network traffic flow data according to the movement information and a set period, planning a reference traffic path by combining the obtained road network model and the road network data, and obtaining attribute information of the reference traffic path.
The attribute information of the reference traffic path may include, but is not limited to, a start point traffic intersection identifier, an end point traffic intersection identifier, a path identifier, a percentage of the carried traffic stream, and the like.
Step S03: and determining the flow data of each reference traffic path according to the reference traffic path and the road network traffic flow data.
And determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the flow data of the directional reference traffic path.
It should be noted that, for each traffic intersection, a direction includes two directions, i.e., a direction from street segment a and a direction from street segment b, a direction from street segment b and a direction from street segment a, and the direction can be defined according to actual situations.
Step S04: and determining and outputting the split green ratio of each intersection in each reference traffic path according to the flow data of each reference traffic path and the acquired road network data.
Determining the ratio a of the traffic data of the direction reference traffic path to the street length of the reference traffic path in the road network street information, determining the sum b of the traffic data of all directions and the street length of the reference traffic path in the road network street information, and determining the ratio of the ratio a to the sum b as the split ratio.
And outputting the split ratio at the observation traffic intersection in the corresponding direction of the reference traffic path.
To explain in detail how the present invention acquires traffic flow data and plans a reference traffic path, an embodiment five of the present invention is specifically given, and as shown in fig. 5, the method includes the following steps:
step S021: the method comprises the steps of obtaining motion information of a vehicle, wherein the motion information comprises motion track information, motion time information and motion starting and stopping point information of the vehicle.
Step S022: acquiring the motion trail information and the motion start and stop point information of the vehicles in a set period, and counting the mean value of the vehicles on the path corresponding to the motion trail information and the motion start and stop point information in the period.
Step S023: and marking all traffic intersections moved by the vehicle according to the movement track information and the movement starting and stopping point information by combining the road network model and the road network data, planning a preset number of adjacent marked traffic intersections into a reference traffic path, wherein the attribute information of the reference traffic path comprises the percentage of source traffic intersections, destination traffic intersections, observed traffic intersections and path-borne traffic flows.
To illustrate the preferred method of planning and controlling the handling of special traffic events of the present invention in more detail, a sixth embodiment of the present invention is shown in fig. 6.
Step S301: and acquiring traffic special event information data, wherein the special event information data comprises the time and place information of the special event.
Step S302: determining a path affected by the special event.
The path affected by a particular event can be derived using a street segment identifier, either a source street segment identifier or an oriented street segment identifier.
Step S303: and acquiring traffic flow data of a path influenced by the special event.
And extracting the affected starting point traffic intersection mark and the affected end point traffic intersection mark, and extracting the rest affected paths by the affected starting point traffic intersection mark and the affected end point traffic intersection mark.
Step S304: and averagely distributing the traffic flow data of the influenced paths to other paths by combining the reference traffic paths.
The average traffic flow of the paths carried by the affected paths is evenly distributed to other rest affected paths, so that the flow pressure of road traffic can be relieved.
Step S305: flow data for each reference traffic path is determined.
The flow data of the reference traffic route confirmed here is the traffic flow data at the time of occurrence of the special event.
It is clear to those skilled in the art that, for convenience and brevity of description, the above-described method steps may refer to specific corresponding working processes of the foregoing systems, modules and units, and are not described herein again. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A traffic planning control system, the system comprising:
the road network data acquisition unit is used for acquiring a road network model and road network data, wherein the road network data comprises road network region information, road network street information, traffic intersection information in a road network and the relationship among the road network data;
the vehicle motion information management and path planning unit is used for acquiring motion information of a vehicle, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining a road network model and road network data acquired by the road network data acquisition unit, and acquiring attribute information of the reference traffic path;
the traffic flow analysis unit is used for determining the flow data of each reference traffic path according to the reference traffic path determined by the vehicle motion information management and path planning unit and the road network traffic flow data;
and the traffic control unit is used for determining and outputting the split ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path determined by the traffic flow analysis unit and the road network data acquired by the road network data acquisition unit.
2. The system of claim 1, wherein the vehicle motion information management and path planning unit further comprises:
the vehicle motion information acquisition module is used for acquiring motion information of a vehicle, wherein the motion information comprises motion track information, motion time information and motion starting and stopping point information of the vehicle;
the road network traffic flow acquisition module is used for acquiring the motion trail information and the motion start and stop point information of the vehicles in a set period and counting the mean value of the path vehicles corresponding to the motion trail information and the motion start and stop point information in the period;
and the path planning module is used for identifying all traffic intersections through which the vehicles move according to the movement track information and the movement starting and stopping point information by combining the road network model and the road network data, planning a preset number of adjacent identified traffic intersections into a reference traffic path, wherein the attribute information of the reference traffic path comprises source traffic intersections, destination traffic intersections, observed traffic intersections and the percentage of the traffic flow carried by the path.
3. The system according to claim 2, wherein the method for determining the flow data of each reference traffic path by the traffic flow analysis unit is specifically:
and determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the flow data of the directional reference traffic path.
4. The system of claim 3, wherein the traffic control unit further comprises:
and the split determination module is used for determining the ratio a of the traffic volume of the direction reference traffic path to the street length of the reference traffic path in the road network street information, determining the sum b of the traffic volume of all directions and the street length of the reference traffic path in the road network street information, and determining the ratio of the ratio a to the sum b as the split.
And the split output module is used for outputting the split at the observation traffic intersection in the corresponding direction of the reference traffic path.
5. The system according to any one of claims 1 to 4, further comprising:
the special event management unit is used for acquiring traffic special event information data, and the special event information data comprises the time and place information of the special event;
and the traffic flow analysis unit determines the flow data of each reference traffic path according to the special event data information acquired by the special event management unit and by combining the reference traffic path and the flow analysis result.
6. A traffic planning control method, the method comprising:
acquiring a road network model and road network data, wherein the road network data comprises road network region information, road network street information, traffic intersection information in a road network and a relation between the road network data;
acquiring motion information of a vehicle, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining the acquired road network model and the road network data, and acquiring attribute information of the reference traffic path;
determining flow data of each reference traffic path according to the reference traffic path and the road network traffic flow data;
and determining and outputting the split green ratio of each intersection in each reference traffic path according to the flow data of each reference traffic path and the acquired road network data.
7. The method according to claim 6, wherein the method for acquiring the motion information of the transportation means, acquiring road network traffic flow data according to the motion information and a set period, planning a reference traffic path by combining the acquired road network model and the road network data, and acquiring the attribute information of the reference traffic path specifically comprises:
acquiring motion information of a vehicle, wherein the motion information comprises motion track information, motion time information and motion starting and stopping point information of the vehicle;
acquiring the motion trail information and the motion start and stop point information of the vehicles in a set period, and counting the mean value of the vehicles on the path corresponding to the motion trail information and the motion start and stop point information in the period;
and marking all traffic intersections moved by the vehicle according to the movement track information and the movement starting and stopping point information by combining the road network model and the road network data, planning a preset number of adjacent marked traffic intersections into a reference traffic path, wherein the attribute information of the reference traffic path comprises the percentage of source traffic intersections, destination traffic intersections, observed traffic intersections and path-borne traffic flows.
8. The method according to claim 7, wherein the method for determining the flow data of each reference traffic path is specifically:
and determining the flow data of each reference traffic path according to the average value of the path vehicles of the road network traffic flow acquisition module and the percentage of the path-carried traffic flow of the path planning module, wherein the flow data of each reference traffic path can be the flow data of the directional reference traffic path.
9. The method according to claim 8, wherein the method for determining and outputting the split green ratio of each intersection in each reference traffic path according to the traffic data of each reference traffic path and the acquired road network data specifically comprises:
determining the ratio a of the traffic volume data of the direction reference traffic path to the street length of the reference traffic path in the road network street information, determining the sum b of the traffic volume of all directions and the street length of the reference traffic path in the road network street information, and determining the ratio of the ratio a to the sum b as a split green ratio;
and outputting the split ratio at the observation traffic intersection in the corresponding direction of the reference traffic path.
10. The system according to any one of claims 6 to 9, wherein the method further comprises:
acquiring traffic special event information data, wherein the special event information data comprises time and place information of a special event;
and determining the flow data of each reference traffic path according to the special event data information acquired by the special event management unit and by combining the reference traffic path and the flow analysis result.
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