CN-121982912-A - Trunk line coordination method, device, equipment and medium

CN121982912ACN 121982912 ACN121982912 ACN 121982912ACN-121982912-A

Abstract

The present application relates to the field of intelligent traffic technologies, and in particular, to a trunk line coordination method, apparatus, device, and medium. The application provides a trunk-oriented multistage dynamic closed-loop coordination optimization method. The method comprises the steps of calculating a main line coordination optimization scheme according to a main line background scheme and traffic flow data, carrying out real-time induction adjustment on green-to-signal ratio time by electronic equipment according to the traffic flow data in the execution process after the main line coordination optimization is carried out, finally, carrying out period aggregation according to the execution result of the intersection all-day optimization scheme to form a period table, calculating timing scheme parameters of the period to form a new background scheme, and improving self-adaption capability of main line coordination to enable the generated main line coordination scheme to meet actual requirements.

Inventors

WANG YUBO
YAO YANG
WANG WENWEN
ZHANG QINGMING

Assignees

青岛海信网络科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20251229

Claims (10)

1. A trunk coordination method, the method comprising: determining a period range corresponding to a plurality of intersections according to phase duration of the plurality of phases corresponding to the current time period of the plurality of intersections on the trunk to be coordinated carried in a background scheme and traffic flow data in set duration, wherein the background scheme is generated based on the trunk coordination scheme of the previous day; Determining an optimal period corresponding to the intersections when a vehicle runs in the trunk line according to preset vehicle running data and the period ranges corresponding to the intersections, wherein the optimal period is positioned in the period ranges, and determining and executing a trunk line coordination optimization scheme according to the optimal period; and acquiring real-time traffic flow data of the intersections, and adjusting the phase duration of a plurality of phases in an optimal period of each intersection according to the real-time traffic flow data.
2. The method of claim 1, wherein determining the cycle ranges corresponding to the intersections according to the phase durations of the phases corresponding to the current time period and the traffic flow data of the intersections in the set duration of the intersections on the trunk to be coordinated carried in the background solution includes: For each intersection of a plurality of intersections, determining phase loss time lengths carried in phase time lengths of a plurality of phases of the intersection, and determining total phase loss time lengths of the intersection; determining a lane flow ratio corresponding to each phase according to sub-vehicle flow data of each phase carried in the vehicle flow data of the intersection and the saturation flow corresponding to each phase; And determining the maximum period in periods corresponding to the intersections, taking the difference value between the maximum period and a set value as the minimum value of the period range, and determining the sum value of the maximum period and the set value as the maximum value of the period range.
3. The method according to claim 1, wherein the method further comprises: if the current time is the final time of the day, acquiring trunk coordination execution data of the multiple intersections of the day; According to the historical periods of the intersections in each historical period carried in the trunk coordination execution data, period aggregation is carried out to obtain a plurality of target periods; Determining target phase duration of a plurality of phases of the intersections in each target period according to historical phase duration of the phases of the intersections carried in the trunk coordination execution data; and determining a target background scheme according to the target time period and the target phase duration of the phases of the intersections in each target time period, and replacing the background scheme by adopting the target background scheme.
4. The method of claim 3, wherein the aggregating the time periods according to the historical periods of the plurality of intersections carried in the trunk coordination execution data to obtain a plurality of target time periods comprises: according to the time sequence, sequencing the historical periods of the intersections in each historical period carried in the trunk coordination execution data to obtain a period sequence; performing first-order differential operation on the periodic sequence, and determining at least one peak point of the periodic sequence according to the result of the first-order differential operation; Determining at least one peak period with a time interval greater than a preset threshold according to the at least one peak point; Grouping other time periods except the peak time period according to a polynomial fitting algorithm and a root mean square error algorithm to obtain a plurality of off-peak time periods; The at least one peak period and the plurality of off-peak periods are determined as the plurality of target periods.
5. The method of claim 4, wherein after grouping the other time periods except the peak time period according to a polynomial fitting algorithm and a root mean square error algorithm to obtain a plurality of off-peak time periods, the method further comprises: If the existing time difference is smaller than a preset time difference threshold, and two adjacent candidate peak periods in the peak periods are combined; If a first candidate time period with the duration less than a preset duration threshold exists, combining the candidate time period with a time period with the duration less than a preset duration threshold in an adjacent time period, wherein the first candidate time period is a peak time period or an off-peak time period; If the period difference value is smaller than the preset period difference value threshold value and two adjacent second candidate periods exist, the two second candidate periods are combined.
6. The method of claim 1, wherein adjusting the phase durations of the plurality of phases within an optimal period for each of the plurality of intersections based on the real-time traffic data comprises: For each phase of each intersection, if the green light of the phase is turned on and the induction starting condition corresponding to the phase is met currently, determining the lane space occupancy of each lane of the phase according to the real-time traffic flow data and the preset saturated traffic flow, determining the number of lanes with the lane space occupancy exceeding a set threshold, if the number of lanes is not smaller than the set number threshold, keeping the green light of the phase on until the number of lanes is smaller than the set number threshold, and if the number of lanes is smaller than the set number threshold, turning off the green light of the phase.
7. The method of claim 6, wherein before turning off the green light for the phase, the method further comprises: judging whether the phase is a preconfigured phase participating in trunk coordination; If the phase is not the preconfigured phase which participates in trunk coordination, executing the step of turning off the green light of the phase subsequently; If the phase is a preconfigured phase participating in trunk coordination, determining a ratio between the lighted duration of the green light of the phase and the set lighted duration, if the ratio is not smaller than a preset ratio, executing a subsequent step of closing the green light of the phase, and if the ratio is smaller than the preset ratio, keeping the green light of the phase lighted.
8. A trunk coordinator device, the device comprising: The system comprises a processing module, a background scheme and a control module, wherein the processing module is used for determining a period range corresponding to a plurality of intersections according to phase duration of the plurality of phases corresponding to the current time period of the plurality of intersections on a main line to be coordinated carried in the background scheme and traffic flow data in set duration; the main line coordination module is used for determining the optimal period corresponding to the intersections when the vehicle runs in the main line according to preset vehicle running data and the period range corresponding to the intersections, wherein the optimal period is positioned in the period range, determining and executing a main line coordination optimization scheme according to the optimal period, acquiring real-time traffic data of the intersections, and adjusting the phase duration of a plurality of phases in one optimal period of each intersection according to the real-time traffic data.
9. An electronic device comprising a processor for implementing the steps of the trunk coordination method of any of claims 1-7 when executing a computer program stored in a memory.
10. A computer readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the steps of the trunk coordination method as claimed in any of claims 1-7.

Description

Trunk line coordination method, device, equipment and medium Technical Field The present application relates to the field of intelligent traffic technologies, and in particular, to a trunk line coordination method, apparatus, device, and medium. Background The traditional trunk coordination control method is generally based on a fixed timing scheme, divides a plurality of time periods according to historical traffic data, presets a unified signal period, a unified green signal ratio and a unified phase difference for each time period to form a green wave band, and realizes that vehicles continuously pass through a plurality of intersections. However, the timing scheme relied on by the traditional trunk coordination control method is generally unchanged for a long time, or the timing scheme is manually and periodically adjusted, so that the updating period is long, the response is lagged, and the rapid feedback and closed-loop optimization of the traffic mode evolution cannot be realized. This results in that over time, the originally optimized trunk coordination scheme may be severely disjointed from the actual demand, and it is difficult to meet the complex and variable traffic management demands of modern cities. Therefore, there is a need for a trunk coordination method, so as to accurately control traffic signals of the trunk. Disclosure of Invention The application provides a trunk line coordination method, a device, equipment and a medium, which are used for solving the problems that the existing trunk line coordination method depends on a fixed timing scheme, and the generated trunk line coordination scheme is seriously disjointed from actual requirements due to the lack of self-adaption and optimization capability, so that the complex and changeable traffic management requirements of modern cities are difficult to meet. In a first aspect, an embodiment of the present application provides a trunk coordination method, where the method includes: determining a period range corresponding to a plurality of intersections according to phase duration of the plurality of phases corresponding to the current time period of the plurality of intersections on the trunk to be coordinated carried in a background scheme and traffic flow data in set duration, wherein the background scheme is generated based on the trunk coordination scheme of the previous day; Determining an optimal period corresponding to the intersections when a vehicle runs in the trunk line according to preset vehicle running data and the period ranges corresponding to the intersections, wherein the optimal period is positioned in the period ranges, and determining and executing a trunk line coordination optimization scheme according to the optimal period; and acquiring real-time traffic flow data of the intersections, and adjusting the phase duration of a plurality of phases in an optimal period of each intersection according to the real-time traffic flow data. In a second aspect, an embodiment of the present application further provides a trunk coordination apparatus, including: The system comprises a processing module, a background scheme and a control module, wherein the processing module is used for determining a period range corresponding to a plurality of intersections according to phase duration of the plurality of phases corresponding to the current time period of the plurality of intersections on a main line to be coordinated carried in the background scheme and traffic flow data in set duration; the main line coordination module is used for determining the optimal period corresponding to the intersections when the vehicle runs in the main line according to preset vehicle running data and the period range corresponding to the intersections, wherein the optimal period is positioned in the period range, determining and executing a main line coordination optimization scheme according to the optimal period, acquiring real-time traffic data of the intersections, and adjusting the phase duration of a plurality of phases in one optimal period of each intersection according to the real-time traffic data. In a third aspect, an embodiment of the present application also provides an electronic device comprising a processor for implementing the steps of the trunk coordination method as described above when executing a computer program stored in a memory. In a fourth aspect, embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of a trunk coordination method as described above. The application provides a trunk-oriented multistage dynamic closed-loop coordination optimization method. The method comprises the steps of calculating a main line coordination optimization scheme according to a main line background scheme and traffic flow data, carrying out real-time induction adjustment on green-to-signal ratio time by electronic equipment a