CN113362603B - Regional intersection traffic control method and system based on edge calculation - Google Patents
Regional intersection traffic control method and system based on edge calculation Download PDFInfo
- Publication number
- CN113362603B CN113362603B CN202110800044.2A CN202110800044A CN113362603B CN 113362603 B CN113362603 B CN 113362603B CN 202110800044 A CN202110800044 A CN 202110800044A CN 113362603 B CN113362603 B CN 113362603B
- Authority
- CN
- China
- Prior art keywords
- green light
- intersection
- traffic
- time
- road
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
Abstract
The application discloses a regional intersection traffic control method and system based on edge calculation, which are used for solving the problem that traffic jam is difficult to solve when local artificial control and green light traffic time pre-control are carried out on a single intersection. The method comprises the following steps: the method comprises the steps that edge computing equipment determines information of all adjacent intersections of intersections to be controlled; the signal machine receives traffic flow data respectively corresponding to a plurality of road side units from the intersection so as to obtain traffic flow data of an entrance way from an adjacent intersection to the intersection to be controlled; the edge computing equipment receives traffic flow data from an entrance way of the signal machine and determines the entrance way with the largest traffic volume as a trunk; the edge computing equipment determines other intersections in the road direction crossed with the main road and determines the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass; and determining the green light extension time of the trunk road according to the green light idle time, and prolonging the starting time of the green light of the trunk road.
Description
Technical Field
The application relates to the technical field of intelligent traffic, in particular to a regional intersection traffic control method and system based on edge calculation.
Background
With the rapid development of social economy, the automobile holding amount in China rapidly increases year by year, and the daily road traffic management work is very heavy, so that the automobile management system becomes a problem to be solved urgently in the traffic management department.
Currently, under traffic peak or special duty conditions, traffic control is generally performed on the road junctions in the following ways: firstly, traffic polices manually dredge vehicles at intersections according to the traffic flow conditions of branch inlet lanes, and secondly, the traffic flow is controlled by adjusting the green light time of each phase in advance, so that congestion is prevented.
However, traffic managers manage and control a single intersection on duty on site, traffic flow information is difficult to obtain in time, and corresponding regulation and control strategies cannot be made quickly, so that command is not in place, and management and control are not good. The preset traffic light control is adopted, so that more traffic flows can pass in the set time by expanding the green light time, but with the rapid increase of traffic flow, the green light passing time set in a mechanized mode cannot cope with the traffic condition changing in real time, and the flexibility is poor. Therefore, the problem of contradiction between traffic flow and road resource supply and demand is difficult to solve by only carrying out local artificial control and controlling the green light passing time in advance on a single intersection.
Disclosure of Invention
The embodiment of the application provides a regional intersection traffic control method and system based on edge calculation, which are used for solving the technical problem that the contradiction between traffic flow and road resource supply and demand is difficult to solve by performing local control optimization on a single intersection.
In one aspect, an embodiment of the present application provides a regional intersection traffic control method based on edge calculation, including: the method comprises the steps that edge computing equipment determines information of all adjacent intersections of intersections to be controlled; the signal machine receives traffic flow data respectively corresponding to a plurality of road side units from the intersection so as to obtain the traffic flow data from the adjacent intersection to an entrance way of the intersection to be controlled; the edge computing equipment receives traffic flow data of an entrance way from the signal machine, determines an entrance way with the largest traffic volume in the entrance ways of the intersection to be controlled based on the traffic flow data of the entrance way, and takes the entrance way with the largest traffic volume as a trunk way; the edge computing equipment determines other intersections in the road direction crossing with the main road and determines the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass; and the edge computing equipment determines the green light extension time of the trunk road according to the green light idle time, and prolongs the starting time of the green light of the trunk road according to the green light extension time.
In an implementation manner of the present application, based on the traffic flow data of the entrance lane, the entrance lane with the largest traffic volume in the entrance lane of the intersection to be controlled is determined, which specifically includes: the edge computing equipment determines the traffic volume corresponding to each phase of the intersection entrance lane to be controlled based on the traffic flow data of the entrance lane; determining the saturation flow rate corresponding to each phase, and judging the magnitude relation between the saturation flow rate and the traffic volume; and determining the entrance lane with the largest traffic volume in the entrance lanes of the intersection to be controlled according to the size relationship.
In one implementation of the present application, the intersection is two phases; determining the green light idle time of the intersection to be controlled after all traffic flows of other intersections pass, specifically comprising: the edge computing equipment determines the green light passing time of the intersection to be controlled, and the saturation flow rate and the traffic volume corresponding to the straight-going phase of the entrance road where the other intersections are located; and calculating the green light idle time of the intersection to be controlled after all the traffic flows of other intersections pass according to the green light passing time, the saturation flow rate and the traffic volume.
In one implementation of the present application, the intersection is four-phase; determining the green light idle time of the intersection to be controlled after all traffic flows of other intersections pass through, specifically comprising: the edge computing equipment determines the green light passing time of the intersection to be controlled and traffic volume and saturation flow rate respectively corresponding to the straight-going phase and the left-turning phase of the entrance road where other intersections are located; respectively determining the magnitude relation between the straight phase traffic volumes of the entrance roads of the other crossroads and the magnitude relation between the left-turn phase traffic volumes; and calculating the green light idle time of the intersection to be controlled after all the traffic flows of other intersections pass according to the magnitude relation, the green light passing time, the saturation flow rate and the traffic volume.
In an implementation manner of the present application, the determining, by the edge computing device, the green light extension time of the trunk road according to the green light idle time specifically includes: the edge computing equipment determines the magnitude relation between the green light idle time corresponding to the other intersections; and according to the size relation, taking the minimum green light idle time in the green light idle time as the green light extension time of the trunk road.
In an implementation manner of the present application, the determining, by the edge computing device, the green light extension time of the trunk road according to the green light idle time specifically includes: the edge computing device takes the green light idle time as a green light extension time of the trunk road.
In an implementation manner of the present application, extending the on-time of the green light of the trunk road according to the green light extension time specifically includes: the edge computing equipment determines corresponding preset trigger time; calculating a first triggering frequency corresponding to the green light extension time according to the preset triggering time and the green light extension time; and prolonging the starting time of the green lamp of the trunk road according to the first triggering times.
In an implementation manner of the present application, the method for prolonging the turn-on duration of the green light of the trunk road according to the first triggering time specifically includes: the edge computing device determines the green light extension time required by each phase of the trunk; determining second triggering times corresponding to the phases according to the required green light extension time and the preset triggering duration, and obtaining total second triggering times; determining a corresponding main phase according to the traffic volume corresponding to each phase; and determining the actual triggering times corresponding to the phases based on the magnitude relation among the main phase, the first triggering times and the total second triggering times, and prolonging the starting time of the green light of the main road according to the actual triggering times.
On the other hand, the embodiment of the present application further provides an intersection traffic control system for an intersection based on edge calculation, including: the road side unit is used for communicating with the vehicle-mounted unit, collecting traffic flow data of a road intersection and sending the traffic flow data to a signal machine of the intersection; the traffic signal machine is used for receiving traffic flow data respectively corresponding to a plurality of road side units from the intersection and communicating with the traffic signal machine corresponding to each adjacent intersection of the intersection; the edge computing equipment is used for determining the information of each adjacent intersection of the intersections to be controlled; the traffic flow data acquisition device is also used for communicating with the signal machine and receiving traffic flow data from an entrance way of the signal machine; the system is also used for determining an entrance way with the largest traffic volume in the entrance ways of the intersection to be controlled based on the traffic flow data of the entrance way, and taking the entrance way with the largest traffic volume as a trunk; determining other intersections in the road direction crossing with the main road, and determining the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass; and determining the green light extension time of the trunk road according to the green light spare time, and prolonging the starting time of the green light of the trunk road according to the green light extension time.
The system also comprises a communication platform which is communicated with the signal machines of all the intersections and used for monitoring the traffic condition of the whole jurisdiction area.
The regional intersection traffic control method and system based on edge calculation provided by the embodiment of the application at least have the following beneficial effects:
according to the traffic flow of each intersection adjacent to the intersection to be controlled, a corresponding traffic control strategy is formulated, so that traffic control from the global perspective is realized, local control is not performed on a single intersection, and traffic jam caused by untimely information acquisition or incomplete processing is avoided;
the green light time of the main road is properly prolonged according to the green light spare time of the secondary main road, so that the normal operation of the traffic flow of the secondary main road is not influenced, the traffic pressure of the main road is effectively reduced, and the reasonable utilization of the green light phase time is realized;
based on the communication between the edge computing equipment and the road side units, the traffic flow information of multiple intersections can be obtained in real time, so that an optimal management and control strategy can be given in a short time under the condition that multiple pieces of information arrive in a centralized manner in parallel, and the cooperative control of traffic management and control is realized;
the edge computing equipment can analyze and process data in real time, traffic flow data of the intersection does not need to be uploaded to a cloud end, fast response and low delay of the data are achieved, corresponding regulation and control strategies can be made in time according to real-time changing traffic conditions, and decision making efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a general architecture diagram of a regional intersection traffic control system based on edge calculation according to an embodiment of the present disclosure;
fig. 2 is a two-phase architecture diagram of a regional intersection traffic control system based on edge calculation according to the embodiment of the present application;
fig. 3 is a four-phase architecture diagram of a regional intersection traffic control system based on edge calculation according to an embodiment of the present application;
FIG. 4 is a block diagram of an internal structure of an edge computing device according to an embodiment of the present disclosure;
fig. 5 is a logic schematic diagram of a regional intersection traffic control system based on edge computation according to an embodiment of the present disclosure;
fig. 6 is a flowchart of a regional intersection traffic control method based on edge calculation according to an embodiment of the present application;
fig. 7 is a plan structure diagram of an edge computing device according to an embodiment of the present application.
Reference numerals:
1 roadside unit, 2 marginal computing equipment, 3 median in the middle of the two-way lane, 4 direction lane lines, 5 on-vehicle units, 6 communication module, 7 traffic signal lamp, 8 direction indicating lines, 9 intersection A,10 intersection B,11 intersection C,12 intersection D,13 intersection E.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a general architecture diagram of a regional intersection traffic control system based on edge calculation according to an embodiment of the present disclosure. As shown in fig. 1, the intersection a to be controlled is located at the center, intersections D and B are arranged in the east-west direction of the intersection a to be controlled, intersections E and C are arranged in the north-south direction, and the intersections B, C, D and E are all adjacent intersections of the intersection a to be controlled.
It should be noted that, for convenience of description, the adjacent intersections in the present application are all located in the positive direction of the intersection to be controlled. In practical application, the embodiment of the present application does not limit the directions of adjacent intersections and the number of branch intersections.
Fig. 2 and fig. 3 are a two-phase architecture diagram and a four-phase architecture diagram of the regional intersection traffic control system based on edge calculation according to the embodiment of the present application.
As shown in fig. 2 and fig. 3, the east-west direction and the north-south direction of the intersection a to be controlled are both adjacent to the intersection, and the adjacent intersections can merge the traffic flow into the intersection a to be controlled through the entrance lane. The regional intersection traffic control system based on edge calculation provided by the embodiment of the application comprises a Road Side Unit (RSU) 1, an edge calculation device 2, an on-board Unit 5 and a communication module 6.
Specifically, the roadside Unit 1 (Road Side Unit, RSU) is disposed at the roadside, and is configured to collect traffic flow data of a Road intersection and send the traffic flow data to the corresponding communication module 6.
The edge computing device 2 is a handheld terminal device, and a map of a jurisdiction area can be downloaded and called by a traffic police at a duty intersection through the edge computing device 2, so that information of each adjacent intersection of the intersection to be controlled is determined, and the traffic police can also communicate with the signal machine 6; the edge computing device 2 can also be used for determining an entrance lane with the largest traffic volume in the entrance lanes of the intersection a to be controlled, and taking the entrance lane with the largest traffic volume as a main road; determining other intersections in the road direction crossing with the main road, and determining the green light idle time of the intersection A to be controlled after all traffic flows of the other intersections pass; according to the green light spare time, determining the green light extension time of the trunk road, and according to the green light extension time, extending the starting time of the green light of the trunk road, namely, the edge computing device 2 can adjust the green light time of the intersection A to be controlled through the displayed real-time traffic flow data of the adjacent intersections B, C, D and E.
The On Board Unit 5 (OBU) is installed in a vehicle, and when the vehicle passes through a certain intersection, the RSU can communicate with the OBU and record passing vehicle information, such as license plate number, vehicle type, and the like.
Each intersection is provided with a traffic machine, a wireless communication module with data transceiving and calculation processing capabilities is arranged in the traffic machine, the wireless communication module can establish wireless communication connection by adopting a 5G communication technology and can also adopt communication technologies such as 4G or 3G, and the embodiment of the application does not limit the wireless communication module. The traffic machine is used for receiving traffic flow data collected by the RSU, and communicating with the traffic machine 6 at the adjacent intersection to realize the transmission of the traffic flow data.
Fig. 4 is an internal structure diagram of an edge computing device according to an embodiment of the present application. As shown in fig. 4, the edge computing device includes an internal circuit board, a circuit protection device, a power module, a touch screen, a wireless communication module, and a heat dissipation module. The edge computing device can establish communication with a signal machine arranged at the intersection through the internal wireless communication module so as to realize the transmission of traffic flow data to the edge computing device.
In one embodiment, the traffic police monitoring center is provided with a communication platform for monitoring the traffic conditions of the whole jurisdiction. The communication platform can communicate with signal machines arranged at intersections to acquire corresponding real-time intersection scene and traffic flow data information, and the acquired data are displayed through a large screen.
Fig. 5 is a logic schematic diagram of a regional intersection traffic control system based on edge computation according to an embodiment of the present disclosure.
Before the traffic police attends to the intersection to be controlled, the map in the individual jurisdiction area is downloaded by the edge computing equipment, and each adjacent intersection of the intersection to be controlled is determined. As shown in fig. 5, when a vehicle loaded with an OBU passes through an intersection, the RSU receives corresponding vehicle information and records that the vehicle has passed. And after all vehicles pass through the road, the RSU sends the counted traffic flow data of the intersection to the signal machine. The signal machine of the intersection to be controlled sends the received traffic flow data to the signal machine of each adjacent intersection, and the signal machine of the adjacent intersection can acquire corresponding traffic flow data through the RSU at each road side while receiving the traffic flow data of the intersection to be controlled, and sends the traffic flow data to the signal machine of the intersection to be controlled through the signal machine, so that the bidirectional transmission of the traffic flow data is realized. After the signal machine of the intersection to be controlled receives the traffic flow data of the adjacent intersections, the signal machine can arrange the traffic flow data of each entrance road automatically.
The traffic police can then establish a communication connection with the edge computing device via the signaler and transmit the collated traffic flow data of the entrance lane to the edge computing device. Real-time traffic flow data for each adjacent intersection may be displayed on the edge computing device.
And then, the edge computing equipment obtains the traffic volume of each adjacent intersection through the edge computing capacity, and automatically computes the optimal management and control strategy. The traffic police can adjust the green light time of a certain phase of the intersection by clicking a touch screen key of the edge computing device, is portable and easy to use, and can prolong the green light passing time of the trunk road to the maximum extent to relieve traffic jam.
With the increase of urban traffic data volume, if all data are transmitted back to the cloud computing center, problems of bandwidth resource waste, time delay and the like can occur, and in order to ensure the real-time performance of mass data, data are analyzed and processed in real time on the edge computing equipment, and corresponding instructions can be given to traffic lights according to the real-time conditions of the road surface and available resources. The edge calculation realizes the processing of the edge node on the real-time position information and the data information, and the judgment and decision are carried out based on the real-time data, so that the efficiency is superior to that of the cloud calculation. In the field of intelligent traffic, real-time acquisition of traffic data can be ensured through edge calculation, and quick response to the traffic data can be realized, so that traffic jam caused by untimely information acquisition or untimely processing is avoided.
Compared with the existing mode of managing and controlling a single intersection, the traffic condition of the adjacent intersection is considered, the traffic volume of each entrance way is determined through the traffic flow data of the adjacent intersection, and therefore the corresponding green light traffic time is adjusted according to the traffic volume, the management and control strategy obtained in the method is obtained based on multiple analysis of multiple pieces of parallel data, the method is global, and the situation that the formulated management and control strategy is unreasonable and traffic jam is caused due to limited information or untimely information acquisition of the single intersection is avoided. And the edge computing equipment can acquire the traffic conditions of all intersections in real time, can determine a corresponding control mode in time based on the computing capacity of the edge computing equipment, can timely feed back the traffic conditions which change instantaneously, and has higher flexibility and usability.
Corresponding to the regional intersection traffic control system based on edge calculation, the embodiment of the present application further provides a regional intersection traffic control method based on edge calculation, as shown in fig. 6.
Fig. 6 is a flowchart of a regional intersection traffic control method based on edge calculation according to an embodiment of the present disclosure. As shown in fig. 6, the method for controlling regional intersection traffic based on edge calculation according to the embodiment of the present application mainly includes the following steps:
s601, the edge computing equipment determines information of each adjacent intersection of the intersection to be controlled.
In the embodiment of the application, the edge computing device has a map downloading function, and when a traffic police is at an intersection, the map of the jurisdiction area can be downloaded through the handheld edge computing device. As shown in fig. 1, respective intersections B, C, D, E in four directions adjacent to the current on-duty intersection a (i.e., the intersection to be regulated) can be determined through the map.
S602, the signal machine receives traffic flow data respectively corresponding to a plurality of road side units from the intersection so as to obtain the traffic flow data from the adjacent intersection to the entrance road of the intersection to be controlled.
In the embodiment of the application, the signal machine can be communicated with the RSU and receive the traffic flow data of the corresponding intersection collected by the RSU. The signal machine of the intersection to be controlled can acquire traffic flow data of an entrance way from the adjacent intersection to the intersection to be controlled based on communication with the signal machine of the adjacent intersection.
S603, the edge computing device receives traffic flow data of the entrance way from the signal machine, determines the entrance way with the largest traffic volume in the entrance ways of the intersection to be controlled based on the traffic flow data of the entrance way, and takes the entrance way with the largest traffic volume as the trunk way.
The method comprises the steps that the edge computing device obtains traffic flow data from each intersection adjacent to the edge computing device to the intersection to be controlled through communication with a signal machine of the intersection to be controlled, then the traffic volume from each adjacent intersection to an entrance way of the intersection to be controlled is determined, and the entrance way with the largest traffic volume is used as a trunk.
In one embodiment, the edge computing device calculates traffic volume and saturation flow rate corresponding to each phase of an entrance road of the intersection to be controlled by means of edge computing capacity, and determines the entrance road with the maximum traffic volume according to the magnitude relation between the saturation flow rate and the traffic volume.
As shown in fig. 1, the lanes passing through the intersections B, C, D, and E to be controlled to the intersection a are entrance lanes, and the edge computing device calculates the traffic volume of the incoming vehicles in each entrance lane direction according to the traffic flow data after receiving the traffic flow data of the intersections. Because the actual intersection is generally divided into multiple phases, the edge computing device provided by the embodiment of the application performs plan planning for two-phase and four-phase intersections respectively.
In one embodiment, when the intersection is a two-phase straight intersection, the edge computing device need only find the traffic volume and saturation flow rate for each entrance lane. The edge computing device can respectively obtain the traffic Q of the entrance roads of the adjacent crossroads B, C, D and E by the aid of the edge computing capability B 、Q C 、Q D 、Q E And saturation flow rate S of each inlet channel i (i =1,2,3,4). When the traffic signal light is changed into green light display, the traffic flow which is originally waiting behind the stop line begins to move forward, and the vehicle runs through the groundBeyond the stop line, the flow rate increases rapidly from 0 to a steady value, i.e., the saturation flow rate. The saturation flow rate measures the upper limit of the vehicle flow that can be carried by each inlet channel.
Then, the edge computing device judges the magnitude relation between the traffic volume of each entrance road and the corresponding saturation flow rate, obtains the entrance road with the largest traffic volume according to the magnitude relation, and uses the entrance road as a main road for driving to the intersection A to be controlled. If Q B >S i ，Q C <S i ，Q D <S i ，Q E <S i Therefore, it can be seen that only the traffic volume at the intersection B is greater than the saturation flow rate, and the traffic volumes at the entrance roads of other intersections are all less than the saturation flow rate, so the B → a entrance road is used as the main road.
In one embodiment, when the intersection is a four-phase intersection, the traffic signal light is divided into a left-turn phase and a straight-going phase, and the traffic volume at the entrance road is the sum of the left-turn traffic volume and the straight-going traffic volume. Let the straight saturation flow rate of the inlet road in the east-west direction (i.e. the direction of the intersection B and the intersection D) be S 1 Left turn saturated flow rate of S 2 The straight-going saturation flow rate of the inlet road in the north-south direction (i.e. the direction of the intersection C and the intersection E) is S 3 Left turn saturated flow rate of S 4 。
Let the traffic volumes of the entrance roads of the crossroads B, C, D and E be Q B 、Q C 、Q D 、Q E The straight traffic volume of the B → A entrance lane is Q BS The left-turn traffic is Q BL Then Q is BS +Q BL ＝Q B (ii) a The straight traffic volume of the C → A entrance lane is Q CS The left-turn traffic is Q CL Then Q is CS +Q CL ＝Q C (ii) a The straight traffic volume of the D → A entrance lane is Q DS The left-turn traffic is Q DL Then Q is DS +Q DL ＝Q D (ii) a The straight traffic volume of E → A entrance lane is Q ES The left-turn traffic is Q EL Then Q is ES +Q EL ＝Q E . The edge computing equipment obtains the corresponding traffic volume and saturation flow rate of each phase of each inlet channelThen, the magnitude relation between the traffic volume and the saturation flow rate of each phase of each inlet channel is sequentially judged, so that the inlet channel with the maximum traffic volume is determined.
For example, at Q CS >S 3 ，Q CL >S 4 ,Q ES <S 3 ，Q EL <S 4 ，Q BS <S 3 ,Q BL <S 4 ,Q DS <S 3 ，Q DL <S 4 In this case, it is known that the traffic volume of the left turn phase of the C → a entrance lane is greater than the left turn saturation flow rate in the north-south direction, and the traffic volume of the straight traveling phase is greater than the straight traveling saturation flow rate in the north-south direction. Therefore, the traffic volume of the entrance road is the largest, and exceeds the maximum traffic volume which can be carried by the road in the direction in the green light time, so that the congestion is easily caused.
The edge computing equipment compares the traffic volume corresponding to each phase of the entrance road with the saturation flow rate to determine the entrance road with the maximum traffic flow, so that when the intersection is controlled, the lane which is most likely to cause congestion can be determined more conveniently, and the traffic pressure of the trunk road is relieved to the maximum extent under the condition that normal traffic of other lanes is not interfered by adjusting the green light traffic time of the lane.
S604, the edge computing device determines other intersections in the road direction crossing the main road, and determines the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass through.
In this application embodiment, in a certain green light passing time, the vehicles on the main road cannot pass through completely, and after all vehicles pass through each secondary main road except the main road, the green light passing time of the corresponding entrance road may be remained, so that the edge computing device calculates the green light free time after all traffic flows of other intersections of the intersection to be controlled in the direction crossing the main road pass through, so as to adjust the green light passing time of the main road.
In one embodiment, when the intersection is a two-phase straight intersection, the edge computing device needs to determine the green light passing time of the intersection to be controlled and other intersections in the road direction crossing the main road, and then calculates the green light idle time that can be used for regulation and control at the intersection to be controlled according to the green light passing time of the intersection to be controlled and the saturation flow rate and the traffic volume corresponding to the straight phase of the entrance lane where the other intersections are located.
Specifically, as shown in fig. 1, if the traffic volume of the intersection B is the largest, the green light idle time of the intersection a to be controlled after the traffic flows of the intersections C and E are all passed needs to be determined.
Calculating the green light idle time of the intersection A to be controlled after all traffic flow of the intersection C passes through by the following formula:
wherein, delta T C Indicating the remaining time of green light, Q C Represents the traffic volume, S, of the entrance lane (i.e., C → A lane) where the intersection C is located i Indicating the saturation flow rate, T, of the inlet road at which intersection C is located G The green light passing time of the intersection A to be controlled is obtained.
The green light idle time delta T of the intersection A to be controlled after all traffic flow of the intersection E passes E The calculation can be obtained by referring to the above formula, which is not described in detail.
In one embodiment, when the intersection is a four-phase intersection, the edge computing device needs to determine the traffic volume and the saturation flow rate respectively corresponding to the green light passing time of the intersection to be controlled, the straight-going phase and the left-turning phase of the entrance lane where other intersections are located, and also needs to determine the magnitude relation between the straight-going phase and the left-turning phase of each other intersection, so that the green light idle time after all traffic flows from which intersection pass through the intersection a to be controlled is determined according to the magnitude relation, and the green light idle time is really available for adjusting the main road.
As shown in fig. 1, assuming that the traffic volume of the C → a entrance lane is the largest, the edge computing device needs to obtain the green light idle time after all the traffic flows of the intersections B and D pass through the intersection a to be controlled.
Specifically, the magnitude relation between the straight-going phase and the left-turn phase of the intersection B and the intersection D is respectively judged, and if Q is greater than the first threshold, the left-turn phase is judged BS >Q DS ，Q BL >Q DL If the idle time of the green light after the B → A vehicle flow completely passes through the intersection A is the real idle time of the green light which can be adjusted in the north-south direction, the idle time of the green light after the vehicle flow of the entrance road where the intersection B is located completely passes through the intersection A is calculated through the following formula:
wherein, delta T B Indicating green light idle time, Q BS Representing the traffic volume, Q, corresponding to the straight-going phase of the entrance lane at the intersection B BL Represents the traffic volume corresponding to the left-turn phase of the entrance road of the intersection B, S 1 Indicating the straight-through saturation flow rate, S, of the entrance lane in the east-west direction (i.e., the direction of intersection B, D) 2 Indicating the left turn saturation flow rate, T, of the east-west inlet duct GS Indicating green time of straight-going, T GL Indicating a left turn green time.
If Q is BS >Q DS ，Q BL <Q DL The magnitude relationship indicates that the straight phase traffic of the B → A entrance lane is greater than the straight phase traffic of the D → A entrance lane, and the left turn phase traffic is just opposite, at this time, the two entrance lanes need to be considered when calculating the vacant green time, and the vacant green time of the B → A and the D → A when all the traffic flow passes through the intersection A to be controlled is really available for adjusting the C entrance lane.
And (3) calculating the green light idle time after all the traffic flows of the inlet roads of the intersection B and the intersection D pass through the intersection A by the following formula:
wherein, Δ T BD Indicating green light idle time, Q BS Representing the traffic volume, Q, corresponding to the straight-going phase of the entrance lane at the intersection B DL Which represents the traffic volume corresponding to the left-hand turn phase of the entrance lane of the intersection B.
S605, the edge computing equipment determines the green light extension time of the trunk road according to the green light spare time, and prolongs the starting time of the green light of the trunk road according to the green light extension time.
In the embodiment of the application, after the green light idle time is calculated, the edge computing device determines the green light idle time which is really available for adjusting the trunk road, and the green light idle time is used as the green light extension time of the trunk road so as to extend the green light time on the basis of the original green light time of the trunk road, thereby expanding the traffic flow which can be accommodated by the trunk road to a certain extent and relieving the traffic pressure of the trunk road.
In one embodiment, when the intersection is a two-phase straight intersection, after the edge computing device respectively obtains the green light idle times corresponding to other intersections, it needs to further determine which of the obtained green light idle times is really available for adjusting the green light passing time of the main road. The smaller the green light spare time is, the larger the traffic flow of the corresponding intersection driving to the intersection to be controlled is, so that the edge computing equipment can select the minimum green light spare time as the green light extension time of the main road, and the green light passing time of the main road can be prolonged under the condition that the traffic of a secondary main road is not influenced only after all traffic flows in an entrance lane with the maximum traffic flow pass through the intersection to be controlled. For example, suppose that the traffic flow of the entrance road from the intersection B to the intersection a to be controlled is maximum and Δ T C ≥ΔT E Then select Δ T E The time is prolonged for the green light.
In one embodiment, when the intersection is a two-phase straight intersection, the obtained green light idle time is directly used as the green light extension time of the trunk road.
In one embodiment, the edge computing device is provided with touch screen keys, and the green time of a corresponding certain phase can be increased or decreased by clicking the corresponding key. As shown in fig. 7, the edge computing device includes a touch screen, and the touch screen is provided with a phase conversion touch key, a green light time increasing touch key, and a green light time decreasing touch key, and by clicking the phase conversion touch key, the phase of different entrance lanes can be switched, and by clicking the green light time increasing touch key or the green light time decreasing touch key, the green light passing time corresponding to the phase can be correspondingly increased or decreased. The green light passing time increased or decreased by clicking one touch key is preset trigger time length which is a fixed value.
Therefore, in order to enable a traffic police to directly control the phase time of the green light through the edge computing device, firstly, the preset trigger time corresponding to one-time touch screen key clicking is determined, and then, the first trigger times corresponding to the green light extension time are calculated according to the preset trigger time and the green light extension time:
wherein n is j supply for The first trigger frequency represents the touch screen trigger frequency of the green light extension time for the edge computing device to regulate and control the green light passing time of the trunk road, Q jS Representing the amount of traffic, Q, corresponding to the phase of the straight line jL Indicating the amount of traffic, T, corresponding to the left-hand phase GS Indicating the green light passing time, T, corresponding to the straight-going phase GL Indicating the green light passing time corresponding to the left-turn phase, S m Indicating the saturation flow rate, S, corresponding to the straight phase n Represents the saturation flow rate for the left turn phase, and z represents the preset trigger duration.
It can be understood that when the intersection is a two-phase straight intersection, the left-turn phase part of the above formula is 0, and the first triggering time n can be obtained by the ratio between the determined green light extension time and the preset triggering time s supply for 。
Further, the first triggering times are calculated according to the green light extension time which can be provided for the trunk road by the intersection to be controlled, and corresponding second triggering times are calculated according to the green light extension time required by the trunk road, so that the actual triggering times can be finally determined according to the first triggering times and the second triggering times. The second triggering times are represented as the touch screen triggering times of the edge computing device corresponding to the green light extension time required by the trunk road for ensuring that the traffic flow of the trunk road can completely pass through.
First, the total green light extension time required for the trunk is determined by the following formula:
wherein, delta T i am required to Indicating the total green light extension time, Q, required for the trunk iS Representing the amount of traffic, Q, corresponding to the phase of the straight line iL Indicating the amount of traffic, T, corresponding to the left-hand phase GS Indicating the green light passage time, T, corresponding to the straight-ahead phase GL Indicating the green light passing time, S, corresponding to the left-hand phase m Indicating the saturation flow rate, S, corresponding to the straight phase n Indicating the saturation flow rate for the left turn phase.
The green lamp extension time required for indicating the straight-ahead phase of the trunk,
indicating the green lamp extension time required for the main line to make a left turn.
Further, according to the green light extension time and the preset trigger duration required by each phase, respectively determining the second trigger times corresponding to each phase by the following formula (an upward rounding principle is adopted during calculation):
wherein n is s need to A second trigger number n corresponding to the straight-line phase of the main line L is required to And the second triggering times corresponding to the left-turning phase of the main road are represented, and z represents the preset triggering duration. Sum n of second trigger times corresponding to each phase s is required to +n L is required to Is the total second trigger number.
Furthermore, the phase with the maximum traffic volume corresponding to each phase of the main road is used as the main phase, and then according to the magnitude relation among the main phase, the first triggering times and the total second triggering times, under the condition that all traffic flows meeting the main phase can pass within the maximum limit, the actual triggering times are finally determined, so that the touch key of the edge computing device is clicked according to the actual triggering times, and the purpose of adjusting the green light duration of the main road is achieved.
When the intersection is a two-phase straight intersection, the intersection does not have a left-turn phase, and the main phase is the straight phase, so that the green light extension time required by the straight phase of the main road and the corresponding triggering times n are calculated s need to And (4) finishing. n is a radical of an alkyl radical s need to Comparing the first trigger times n as the total second trigger times s supply for And a second number of triggers n s need to If n is large or small s supply for >n s need to Explaining that the time length of the intersection to be controlled, which can be used for prolonging the green light time of the trunk road, is longer than the actually required green light prolonging time of the trunk road, at the moment, n is used s need to As the actual triggering times, the system can ensure that the traffic flow of the main road completely passes through, can avoid the waste of green light passing time, and realizes the reasonable utilization of resources; if n is s supply for <n s is required to Explaining that the duration of the green light time of the trunk road which can be used for prolonging the intersection to be controlled cannot meet the requirement of the trunk road, n is used at the moment s supply for As the actual triggering times, the green light passing time of the trunk road is prolonged as much as possible within the maximum regulation and control range, and the passing pressure is relieved.
When the intersection is a four-phase intersection, assume C → A entrance road is the main road, and Q BS >Q DS ，Q BL >Q DL Can be calculated out
And total second trigger number n s is required to +n L is required to . And comparing the traffic corresponding to each phase of the C → A entrance road, and taking the phase with the maximum traffic as the main phase.
If Q CS ≥Q CL The main trunk is mainly straight, turns left to be secondary, and the requirement of the straight phase is preferably met when the actual triggering times are determined. In particular, if n B supply for ≥n S is required to +n L is required to The actual triggering times of the traffic police for driving in the south-north direction through the traffic intelligent control edge computing equipment is n S is required to The actual number of triggers for left turn is n L is required to (ii) a If n is S is required to <n Supply of B <n S is required to +n L is required to Then the actual number of triggering of the straight line in the north-south direction is n S is required to The actual number of triggers for a left turn is (n) Supply of B -n S is required to ) (ii) a If n is Supply of B ≤n S is required to Then the actual trigger number of straight-going in the north-south direction is n Supply of B 。
If Q CS <Q CL The main trunk takes left-turn as the main route and straight-going as the secondary route, and the requirement of the left-turn phase is preferentially met when the actual trigger frequency is determined. In particular, if n Supply of B ≥n S is required to +n L is required to The actual trigger times of the left turn in the north-south direction is n L is required to The actual number of triggers for a straight line is n S is required to (ii) a If n is L is required to <n Supply of B <n S is required to +n L is required to The actual trigger times of the left turn in the north-south direction is n L is required to The actual number of triggers for a straight row is (n) Supply of B -n L is required to ) (ii) a If n is Supply of B ≤n L is required to The actual trigger times of the left turn in the north-south direction is n Supply of B 。
Further, after determining the phase to be adjusted, the traffic police can increase the duration of the green light of the trunk road by triggering the green light time of the corresponding times by the touch key according to the calculated actual triggering times through the edge computing device.
Through the edge computing power of the portable equipment, after the traffic data of the adjacent intersections are obtained, the entrance with the largest traffic is prolonged according to the green light remaining time of the intersection to be controlled, the traffic control in the global angle is realized, and the portable equipment is more intelligent and convenient.
When the intersection is a four-phase intersection, assume C → A entrance lane is the main road, and Q BS >Q DS ，Q BL <Q DL Can find out
Procedure and Q for calculating the corresponding actual number of triggers BS >Q DS ，Q BL >Q DL The same applies, and this is not described herein again.
It should be noted that, the embodiment of the present application describes in detail a technical solution for prolonging the green light duration of the main road, and based on the same principle, the green light passing time of each entrance lane can be shortened through the above steps S601 to S605, which is not described herein again. Under the condition of not influencing road traffic, the traffic signal resource can be reasonably utilized by properly shortening the duration of the green light.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (8)
1. An area intersection traffic control method based on edge calculation is characterized by comprising the following steps:
the method comprises the steps that edge computing equipment determines information of all adjacent intersections of intersections to be controlled;
the signal machine receives traffic flow data respectively corresponding to a plurality of road side units from the intersection so as to obtain the traffic flow data from the adjacent intersection to an entrance way of the intersection to be controlled;
the edge computing equipment receives traffic flow data of an entrance way from the signal machine, determines an entrance way with the largest traffic volume in the entrance ways of the intersection to be controlled based on the traffic flow data of the entrance way, and takes the entrance way with the largest traffic volume as a trunk way;
the edge computing equipment determines other intersections in the road direction crossing with the main road and determines the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass;
the edge computing equipment determines the green light extension time of the trunk road according to the green light spare time, and prolongs the starting time of the green light of the trunk road according to the green light extension time;
prolonging the starting time of the green light of the trunk road according to the green light prolonging time, and specifically comprising the following steps:
the edge computing equipment determines corresponding preset trigger time;
calculating a first triggering frequency corresponding to the green light extension time according to the preset triggering time and the green light extension time;
prolonging the starting time of the green light of the main road according to the first triggering times;
prolonging the starting time of the green lamp of the trunk road according to the first triggering times, and specifically comprising:
the edge computing equipment determines the green light extension time required by each phase of the trunk;
determining second triggering times corresponding to the phases according to the required green light extension time and the preset triggering duration, and obtaining total second triggering times;
determining a corresponding main phase according to the traffic volume corresponding to each phase;
and determining the actual triggering times corresponding to the phases based on the magnitude relation among the main phase, the first triggering times and the total second triggering times, and prolonging the starting time of the green light of the trunk road according to the actual triggering times.
2. The regional intersection traffic control method based on edge calculation as claimed in claim 1, wherein determining an entrance lane with the largest traffic volume in the entrance lanes of the intersection to be controlled based on the traffic flow data of the entrance lane specifically comprises:
the edge computing equipment determines the traffic volume corresponding to each phase of the intersection entrance lane to be controlled based on the traffic flow data of the entrance lane;
determining the saturation flow rate corresponding to each phase, and judging the magnitude relation between the saturation flow rate and the traffic volume;
and determining the entrance lane with the largest traffic volume in the entrance lanes of the intersection to be controlled according to the size relationship.
3. The regional intersection traffic control method based on edge calculation as claimed in claim 1, wherein the intersection is two phases;
determining the green light idle time of the intersection to be controlled after all traffic flows of other intersections pass, specifically comprising:
the edge computing equipment determines the green light passing time of the intersection to be controlled, and the saturation flow rate and the traffic volume corresponding to the straight-going phase of the entrance road where the other intersections are located;
and calculating the green light idle time of the intersection to be controlled after all the traffic flows of other intersections pass according to the green light passing time, the saturation flow rate and the traffic volume.
4. The regional intersection traffic control method based on edge calculation as claimed in claim 1, wherein the intersection is four-phase;
determining the green light idle time of the intersection to be controlled after all traffic flows of other intersections pass, specifically comprising:
the edge computing equipment determines the green light passing time of the intersection to be controlled and traffic volume and saturation flow rate respectively corresponding to the straight-going phase and the left-turning phase of the entrance road where other intersections are located;
respectively determining the magnitude relation between the straight phase traffic volumes of the entrance roads where the other intersections are located and the magnitude relation between the left-turn phase traffic volumes;
and calculating the green light idle time of the intersection to be controlled after all the traffic flows of other intersections pass according to the magnitude relation, the green light passing time, the saturation flow rate and the traffic volume.
5. The regional intersection traffic control method based on edge calculation as claimed in claim 3, wherein the edge calculation device determines the green light extension time of the trunk road according to the green light idle time, specifically comprising:
the edge computing equipment determines the magnitude relation between the green light idle time corresponding to the other intersections;
and according to the size relation, taking the minimum green light idle time in the green light idle time as the green light extension time of the trunk road.
6. The regional intersection traffic control method based on edge calculation according to claim 4, wherein the edge calculation device determines the green light extension time of the trunk road according to the green light idle time, and specifically includes:
the edge computing device takes the green light idle time as the green light extension time of the trunk road.
7. The utility model provides a regional intersection traffic control system based on edge calculation which characterized in that includes:
the road side unit is used for communicating with the vehicle-mounted unit, collecting traffic flow data of a road intersection and sending the traffic flow data to a signal machine of the intersection;
the traffic signal machine is used for receiving traffic flow data respectively corresponding to a plurality of road side units from the intersection and communicating with the traffic signal machine corresponding to each adjacent intersection of the intersection;
the edge computing equipment is used for determining the information of each adjacent intersection of the intersections to be controlled; the traffic flow data acquisition device is also used for communicating with the signal machine and receiving traffic flow data from an entrance way of the signal machine; the system is also used for determining an entrance lane with the largest traffic volume in the entrance lanes of the intersection to be controlled based on the traffic flow data of the entrance lane, and taking the entrance lane with the largest traffic volume as a trunk; determining other intersections in the road direction crossing with the main road, and determining the green light idle time of the intersection to be controlled after all traffic flows of the other intersections pass; determining the green light extension time of the trunk road according to the green light spare time, and prolonging the starting time of the green light of the trunk road according to the green light extension time;
the device is also used for determining corresponding preset trigger time length; calculating a first triggering frequency corresponding to the green light extension time according to the preset triggering time and the green light extension time; prolonging the starting time of the green light of the main road according to the first triggering times;
the system is also used for determining the green light extension time required by each phase of the main trunk; determining second triggering times corresponding to the phases according to the required green light extension time and the preset triggering duration, and obtaining total second triggering times; determining a corresponding main phase according to the traffic volume corresponding to each phase; and determining the actual triggering times corresponding to the phases based on the magnitude relation among the main phase, the first triggering times and the total second triggering times, and prolonging the starting time of the green light of the main road according to the actual triggering times.
8. The regional intersection traffic control system based on edge computing of claim 7, further comprising:
and the communication platform is communicated with signal machines at all intersections and is used for monitoring the traffic condition of the whole jurisdiction area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110800044.2A CN113362603B (en) | 2021-07-15 | 2021-07-15 | Regional intersection traffic control method and system based on edge calculation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110800044.2A CN113362603B (en) | 2021-07-15 | 2021-07-15 | Regional intersection traffic control method and system based on edge calculation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113362603A CN113362603A (en) | 2021-09-07 |
| CN113362603B true CN113362603B (en) | 2022-11-25 |
Family
ID=77539560
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110800044.2A Active CN113362603B (en) | 2021-07-15 | 2021-07-15 | Regional intersection traffic control method and system based on edge calculation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113362603B (en) |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005124B (en) * | 2010-11-16 | 2012-10-10 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of intersections |
| CN102982688B (en) * | 2012-08-23 | 2014-10-08 | 浙江浙大中控信息技术有限公司 | Regional traffic signal control method based on arterial road coordination priority |
| CN104318789B (en) * | 2014-10-05 | 2016-07-20 | 哈尔滨工业大学 | A kind of method improving signalized intersections entrance driveway phase place green time utilization rate |
| CN106228819B (en) * | 2016-08-18 | 2019-09-27 | 广东工业大学 | A kind of traffic signal optimization control method and device of multi-intersection |
| CN108538065B (en) * | 2018-04-24 | 2020-10-02 | 浙江工业大学 | Urban main road coordination control method based on adaptive iterative learning control |
| CN112466116A (en) * | 2019-12-27 | 2021-03-09 | 北京航空航天大学 | Intersection group distributed control method based on edge calculation |
| CN111047884A (en) * | 2019-12-30 | 2020-04-21 | 西安理工大学 | Traffic light control method based on fog calculation and reinforcement learning |
| CN112150840A (en) * | 2020-08-31 | 2020-12-29 | 江苏科技大学 | Signal lamp linkage control system and control method based on Internet of things technology |
-
2021
- 2021-07-15 CN CN202110800044.2A patent/CN113362603B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN113362603A (en) | 2021-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101210875B1 (en) | Real-time transportation network topology control-combined traffic flow control and dynamic route guidance system using in-vehicle navigator with bidirectional communication and method thereof | |
| CN108806283B (en) | Control method of traffic signal lamp and Internet of vehicles platform | |
| CN103559795B (en) | Multi-strategy and multi-object self-adaptation traffic control method | |
| CN103280113B (en) | Self-adaptive intersection signal control method | |
| CN105489034B (en) | A kind of complete traffic control system of main line and method | |
| CN100466007C (en) | Forecast of urban traffic and traffic information inducement system | |
| CN101308604B (en) | Traffic coordinating and controlling method with strategy of big range | |
| CN110111592B (en) | Method for dynamically matching optimal signal timing scheme based on traffic signal controller | |
| CN106781592A (en) | A kind of traffic navigation system and method based on big data | |
| CN108682168B (en) | Vehicle speed guiding system and method for reducing stopping at signalized intersection | |
| CN105513417B (en) | A kind of dynamic parking induction method based on traffic behavior | |
| CN105608912A (en) | City road traffic intelligent control method and city road traffic intelligence control system | |
| CN105405303A (en) | Traffic control method based on traffic flow | |
| CN108932856B (en) | Method for setting right of passing at intersection under automatic driving | |
| CN111882894A (en) | Intelligent traffic signal lamp control method and system | |
| CN103106787A (en) | System for proactively solving urban traffic congestion | |
| CN1317422A (en) | Method and equipment for vehicle pilot and road network management | |
| CN104680820A (en) | Traffic flow car networking system and traffic flow control method based on gradient field | |
| CN111341095A (en) | Traffic signal control system and method based on edge side online calculation | |
| CN111081039A (en) | Real-time dynamic intersection signal control design method and system | |
| CN105427630A (en) | Traffic control system based on traffic flow | |
| CN110164148B (en) | Intelligent timing control method and system for traffic lights at urban intersections | |
| CN110728840A (en) | Traffic control method and intelligent navigation system | |
| CN114708741A (en) | Multiphase bus priority control method based on V2X technology | |
| CN113362603B (en) | Regional intersection traffic control method and system based on edge calculation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |