US-12620304-B2 - Information processing method and device

Abstract

An information processing method includes obtaining at least two sets of traffic information of a target intersection based on a predetermined cycle, analyzing the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in a current cycle, and obtaining a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information.

Inventors

• Qingyu YANG
• Yang Lei
• Junming Xia

Assignees

• LENOVO (BEIJING) LIMITED

Dates

Publication Date

20260505

Application Date

20230814

Priority Date

20220831

Claims (20)

1. 1 . An information processing method comprising: obtaining at least two sets of traffic information of a target intersection based on a predetermined cycle; analyzing the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in the cycle; determining a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information; and controlling a signal light corresponding to the target phase according to the degree of saturation of the target phase at the target intersection in the current phase cycle.
2. 2 . The method according to claim 1 , wherein analyzing the at least two sets of traffic information to obtain the first parameter information of vehicles passing through and the second parameter information of vehicles not passing through the target phase at the target intersection in the current cycle includes: analyzing the at least two sets of traffic information to obtain an average speed of the vehicles passing through the target intersection based on a target route in the current cycle, the target route corresponding to the target phase; and analyzing the at least two sets of traffic information to obtain a number of target vehicles not passing through the target intersection at the target phase in the current cycle.
3. 3 . The method according to claim 2 , wherein analyzing the at least two sets of traffic information to obtain the average speed of the vehicles passing through the target intersection based on the target route in the current cycle includes: analyzing the at least two sets of traffic information to obtain a travel distance of the vehicles passing through the target route at the target intersection when the signal light is in a target period of the current cycle, the target period being from a start time of a green light state of the signal light at least to an end time of the green light state, the traffic information including vehicle information of a vehicle appearing at the target intersection and information of the signal light at the target intersection; and obtaining the average speed of the vehicles passing through the target route at the target intersection in the current cycle based on the travel distance and the target period.
4. 4 . The method according to claim 3 , wherein analyzing the at least two sets of traffic information to obtain the travel distance of the vehicles passing through the target route at the target intersection when the signal light is in the target period of the current cycle includes: analyzing the vehicle information in the at least two sets of traffic information to obtain at least two vehicles passing through the target intersection and travel trajectories of the at least two vehicles; and in response to the travel trajectories of the at least two vehicles being same as a route corresponding to the signal light, determining the travel distance of the at least two vehicles when the signal light is in the target period of the current cycle based on vehicle positions of the at least two vehicles of the vehicle information.
5. 5 . The method according to claim 2 , wherein analyzing the at least two sets of traffic information to obtain the number of the target vehicles not passing through the target intersection in the current cycle at the target phase includes: obtaining target traffic information at the end time of the green light state of the signal light in the current cycle; based on the vehicle information of target traffic information, determining the target vehicles not passing through a stop line of the target intersection at the end time of the green light state of the signal light; and counting the number of the target vehicles to obtain a target vehicle number.
6. 6 . The method according to claim 2 , wherein determining the degree of saturation of the target phase of the target intersection in the current phase cycle based on the first parameter information and the second parameter information includes: based on the predetermined speed and a predetermined accommodation vehicle number corresponding to the signal light, determining the degree of saturation of the target intersection when the signal light is in the current period in connection with the average speed and the target vehicle number, the predetermined speed being a speed of the vehicle passing through the target route when the route corresponding to the signal light satisfies a predetermined smooth traffic condition.
7. 7 . The method according to claim 1 , wherein controlling the signal light corresponding to the target phase according to the degree of saturation of the target phase at the target intersection in the current phase cycle includes: adjusting an illumination time length of at least one light state of the signal light corresponding to the target phase in response to the degree of saturation of the target phase in the current cycle being greater than a predetermined threshold, the signal light including at least two light states.
8. 8 . An electronic device comprising: a processor; and a memory storing a processing program that, when executed by the processor, causes the processor to: obtain at least two sets of traffic information of a target intersection based on a predetermined cycle; analyze the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in a current cycle; determine a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information; and control a signal light corresponding to the target phase according to the degree of saturation of the target phase at the target intersection in the current phase cycle.
9. 9 . The device according to claim 8 , wherein the processor is further configured to: analyze the at least two sets of traffic information to obtain an average speed of the vehicles passing through the target intersection based on a target route in the current cycle, the target route corresponding to the target phase; and analyze the at least two sets of traffic information to obtain a number of target vehicles not passing through the target intersection at the target phase in the current cycle.
10. 10 . The device according to claim 9 , wherein the processor is further configured to: analyze the at least two sets of traffic information to obtain a travel distance of the vehicles passing through the target route at the target intersection when the target signal light is in a target period of the current cycle, the target period being from a start time of a green light state of the signal light at least to an end time of the green light state, the traffic information including vehicle information of a vehicle appearing at the target intersection and information of the signal light at the target intersection; and obtain the average speed of the vehicles passing through the target route at the target intersection in the current cycle based on the travel distance and the target period.
11. 11 . The device according to claim 10 , wherein the processor is further configured to: analyze the vehicle information in the at least two sets of traffic information to obtain at least two vehicles passing through the target intersection and travel trajectories of the at least two vehicles; and in response to the travel trajectories of the at least two vehicles being same as a route corresponding to the signal light, determine the travel distance of the at least two vehicles when the signal light is in the target period of the current cycle based on vehicle positions of the at least two vehicles of the vehicle information.
12. 12 . The device according to claim 10 , wherein the processor is further configured to: obtain target traffic information at the end time of the green light state of the signal light in the current cycle; based on the vehicle information of target traffic information, determine the target vehicles not passing through a stop line of the target intersection at the end time of the green light state of the signal light; and count the number of the target vehicles to obtain a target vehicle number.
13. 13 . The device according to claim 9 , wherein the processor is further configured to: based on the predetermined speed and a predetermined accommodation vehicle number corresponding to the signal light, determine the degree of saturation of the target intersection when the signal light is in the current period in connection with the average speed and the target vehicle number, the predetermined speed being a speed of the vehicle passing through the target route when the route corresponding to the signal light satisfies a predetermined smooth traffic condition.
14. 14 . The device according to claim 8 , wherein the processor is further configured to: adjust an illumination time length of at least one light state of the signal light corresponding to the target phase in response to the degree of saturation of the target phase in the current cycle being greater than a predetermined threshold, the signal light including at least two light states.
15. 15 . A non-transitory computer-readable storage medium storing a computer program that, when called and executed by the processor, causes the processor to: obtain at least two sets of traffic information of a target intersection based on a predetermined cycle; analyze the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in a current cycle; determine a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information; and control a signal light corresponding to the target phase according to the degree of saturation of the target phase at the target intersection in the current phase cycle.
16. 16 . The storage medium according to claim 15 , wherein the processor is further configured to: analyze the at least two sets of traffic information to obtain an average speed of the vehicles passing through the target intersection based on a target route in the current cycle, the target route corresponding to the target phase; and analyze the at least two sets of traffic information to obtain a number of target vehicles not passing through the target intersection at the target phase in the current cycle.
17. 17 . The storage medium according to claim 16 , wherein the processor is further configured to: analyze the at least two sets of traffic information to obtain a travel distance of the vehicles passing through the target route at the target intersection when the signal light is in a target period of the current cycle, the target period being from a start time of a green light state of the signal light at least to an end time of the green light state, the traffic information including vehicle information of a vehicle appearing at the target intersection and information of the signal light at the target intersection; and obtain the average speed of the vehicles passing through the target route at the target intersection in the current cycle based on the travel distance and the target period.
18. 18 . The storage medium according to claim 16 , wherein the processor is further configured to: analyze the vehicle information in the at least two sets of traffic information to obtain at least two vehicles passing through the target intersection and travel trajectories of the at least two vehicles; and in response to the travel trajectories of the at least two vehicles being same as a route corresponding to the signal light, determine the travel distance of the at least two vehicles when the signal light is in the target period of the current cycle based on vehicle positions of the at least two vehicles of the vehicle information.
19. 19 . The storage medium according to claim 16 , wherein the processor is further configured to: obtain target traffic information at the end time of the green light state of the signal light in the current cycle; based on the vehicle information of target traffic information, determine the target vehicles not passing through a stop line of the target intersection at the end time of the green light state of the signal light; and count the number of the target vehicles to obtain a target vehicle number.
20. 20 . The storage medium according to claim 15 , wherein the processor is further configured to: based on the predetermined speed and a predetermined accommodation vehicle number corresponding to the signal light, determine the degree of saturation of the target intersection when the signal light is in the current period in connection with the average speed and the target vehicle number, the predetermined speed being a speed of the vehicle passing through the target route when the route corresponding to the signal light satisfies a predetermined smooth traffic condition.

Description

CROSS-REFERENCE TO RELATED APPLICATION The present disclosure claims priority to Chinese Patent Application No. 202211063239.4, filed on Aug. 31, 2022, the entire content of which is incorporated herein by reference. TECHNICAL FIELD The present disclosure relates to the information technology field and, more particularly, to an information processing method and a device. BACKGROUND With the continuous development of the traffic signal controller, a plurality of optimization solutions are developed. Manufacturers of traffic signal controllers realize central solution optimization and regional coordination control. However, with the rapid development of vehicle-to-road cooperative technology, various perception data are analyzed in real-time according to holographic perceptions of vehicles on the road. A new traffic optimization method is developed, which realizes signal device control in a second level. In algorithms for controlling traffic signals, saturation is an important indicator to measure the traffic condition. Therefore, a relevant algorithm uses the saturation as a core factor to determine a duration of a green light of the traffic lights. The calculation of the saturation depends on traffic volume and traffic capacity. Traffic volume refers to the number of vehicles traveling in both directions per unit time. Traffic capacity refers to a maximum number of vehicles passing through a certain section of a road in a unit time under certain road and traffic conditions. Due to the limitation of sensor capability in a traditional intersection, in the existing technology, saturation is normally calculated using the traffic volume. However, traffic volume can only provide statistics on the number of vehicles passing through the intersection and cannot provide comprehensive consideration for the actual situation at the intersection. Thus, the determined saturation is not accurate. SUMMARY Embodiments of the present disclosure provide an information processing method. The method includes obtaining at least two sets of traffic information of a target intersection based on a predetermined cycle, analyzing the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in the cycle, and obtaining a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information. Embodiments of the present disclosure provide an electronic device, including a processor and a memory. The memory storing a processing program that, when executed by the processor, causes the processor to obtain at least two sets of traffic information of a target intersection based on a predetermined cycle, analyze the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in the cycle, and obtain a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information. Embodiments of the present disclosure provide a non-transitory computer-readable storage medium storing a computer program that, when called and executed by the processor, causes the processor to obtain at least two sets of traffic information of a target intersection based on a predetermined cycle, analyze the at least two sets of traffic information to obtain first parameter information of vehicles passing through and second parameter information of vehicles not passing through a target phase at the target intersection in the cycle, and obtain a degree of saturation of the target phase at the target intersection in a current phase cycle based on the first parameter information and the second parameter information. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 illustrates a schematic flowchart of an information processing method according to some embodiments of the present disclosure. FIG. 2 illustrates a schematic flowchart of an information processing method according to some embodiments of the present disclosure. FIG. 3 illustrates a schematic diagram of a target intersection in the information processing method according to some embodiments of the present disclosure. FIG. 4 illustrates a schematic flowchart of an information processing method according to some embodiments of the present disclosure. FIG. 5 illustrates a schematic flowchart of an information processing method according to some embodiments of the present disclosure. FIG. 6 illustrates a schematic flowchart of an information processing method according to some embodiments of the present disclosure. FIG. 7 illustrates a schematic flowchart of an information processing method according to some embodiments of the pr