CN114724390A

CN114724390A - Traffic signal control method and device, electronic device and storage medium

Info

Publication number: CN114724390A
Application number: CN202210425258.0A
Authority: CN
Inventors: 袁鑫良
Original assignee: Zhejiang Shangtang Technology Development Co Ltd
Current assignee: Zhejiang Shangtang Technology Development Co Ltd
Priority date: 2022-04-21
Filing date: 2022-04-21
Publication date: 2022-07-08

Abstract

The present disclosure relates to a traffic signal control method and apparatus, an electronic device, and a storage medium, the method including: acquiring intersection information, traffic flow information and a timing scheme of traffic signals of each intersection in a historical time period of a target area; determining at least one homogeneous time period in the historical time length according to the traffic flow information of each intersection, wherein the homogeneous time period represents the time period with similar traffic flow laws of each intersection in the target area in the historical time length; aiming at any homogeneous time period, optimizing a time distribution scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain a target time distribution scheme in the homogeneous time period; and controlling the traffic signals of each intersection in the target area according to the target timing scheme corresponding to at least one homogeneous time period. The embodiment of the disclosure can realize traffic balance and high efficiency of operation in the whole target area and reduce traffic jam.

Description

Traffic signal control method and device, electronic device and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a traffic signal control method and apparatus, an electronic device, and a storage medium.

Background

The traffic signal control of the intersection is an important node for distributing space-time resources of different traffic flows in an urban road traffic system. The reasonable traffic signal control can realize the balanced traffic of the whole area, the high efficiency of operation, the reduction of traffic jam of the area and the like.

In a traffic signal control mode in the related art, a signal control scheme is usually configured and fixed in advance by taking an intersection as a unit, and the traffic signal control method is difficult to adapt to traffic flow changes at different time intervals in the whole area, and has the possibility of generating inefficient traffic operation conditions such as traffic jam and the like.

Disclosure of Invention

The present disclosure provides a traffic signal control technical scheme.

According to an aspect of the present disclosure, there is provided a traffic signal control method including: acquiring intersection information, traffic flow information and a timing scheme of traffic signals of each intersection of a target area within a historical time; determining at least one homogeneous time period in the historical time period according to the traffic flow information at each intersection, wherein the homogeneous time period represents a time period with similar traffic flow rules of each intersection in the target area in the historical time period; aiming at any homogeneous time period, optimizing a time distribution scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain a target time distribution scheme in the homogeneous time period; and controlling the traffic signals of each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period.

In one possible implementation manner, the historical time duration is a plurality of months, wherein the determining at least one homogeneous period within the historical time duration according to the traffic flow information at each intersection includes: clustering the multiple months into multiple groups of homogeneous months with similar traffic flow laws according to the traffic flow information at each intersection corresponding to the multiple months; for any group of homogeneous months, clustering multiple days corresponding to the homogeneous months into multiple groups of homogeneous days with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each day in the homogeneous months; and for any group of homogeneous days, clustering the 24 hours corresponding to the homogeneous days into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the homogeneous days.

In one possible implementation manner, the historical time duration includes a special day, wherein the determining at least one homogeneous period in the historical time duration according to the traffic flow information at each intersection includes: and clustering 24 hours corresponding to the special day into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the special day.

In one possible implementation, in a case where the homogeneous period is a period within a particular day, the method further includes: obtaining a target timing scheme corresponding to the special day according to a preset timing scheme; or determining a target timing scheme corresponding to the special day according to the traffic flow information of the same time period of the special day.

In a possible implementation manner, the optimizing, for any homogeneous time period, a timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain a target timing scheme in the homogeneous time period includes: determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relation of the intersections in the target area; aiming at a single intersection in the target area, optimizing a timing scheme of the single intersection in the homogeneous time period according to intersection information of the single intersection and corresponding traffic flow information to obtain a target timing scheme of the single intersection in the homogeneous time period; and/or optimizing a timing scheme of each intersection in the intersection group in the homogeneous time period according to a traffic signal optimization target corresponding to the intersection group aiming at the intersection group in the target area, so as to obtain a target timing scheme of each intersection in the intersection group in the homogeneous time period.

In one possible implementation manner, the intersection information includes an intersection topological relation, the intersection topological relation includes at least one of an upstream-downstream relation between intersections in the target area and a road length between the upstream-downstream intersections, and the method further includes: and determining the mutual constraint relation of each intersection in the target area according to the intersection topological relation of each intersection in the target area and the traffic flow information of each intersection in the target area.

In a possible implementation manner, the optimizing, according to the traffic signal optimization target corresponding to the intersection group, the timing scheme of each intersection in the intersection group in the homogeneous time period to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period includes: and aiming at each intersection in the intersection group, optimizing a timing scheme of the intersection in the homogeneous time period according to the traffic signal optimization target, the intersection information of the intersection and the corresponding traffic flow information to obtain a target timing scheme of each intersection in the intersection group in the homogeneous time period.

In a possible implementation manner, in a case that a special scene occurs in the homogeneous time period, the optimizing, according to the traffic flow information and the intersection information corresponding to the homogeneous time period, a timing scheme in the homogeneous time period to obtain a target timing scheme in the homogeneous time period includes: and optimizing the time distribution scheme corresponding to the special scene according to the traffic flow information corresponding to the special scene and the intersection information under the time interval range to which the special scene belongs to obtain the target time distribution scheme corresponding to the special scene.

In a possible implementation manner, the controlling traffic signals at each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period includes: responding to signal control operation aiming at traffic signals in any homogeneous time period, and issuing a target timing scheme indicated by the signal control operation to the traffic signal controllers corresponding to the intersections in the target area, so that the traffic signal controllers control the traffic signals according to the target timing scheme.

According to an aspect of the present disclosure, there is provided a traffic signal control apparatus including: the acquisition module is used for acquiring intersection information, traffic flow information and a timing scheme of a traffic signal of each intersection in the historical time of the target area; a determining module, configured to determine at least one homogeneous time period within the historical time period according to the traffic flow information at each intersection, where the homogeneous time period represents a time period within the historical time period in which traffic flow laws of each intersection of the target area are similar; the optimization module is used for optimizing the timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period aiming at any homogeneous time period to obtain a target timing scheme in the homogeneous time period; and the control module is used for controlling the traffic signals of each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period.

In one possible implementation, the historical duration is a plurality of months, wherein the determining module includes: the homogeneous month clustering submodule is used for clustering the months into a plurality of groups of homogeneous months with similar traffic flow laws according to the traffic flow information at each intersection corresponding to the months; the homogeneous day clustering submodule is used for clustering multiple days corresponding to a homogeneous month into multiple groups of homogeneous days with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each day in the homogeneous month aiming at any group of homogeneous months; and the homogeneous period clustering submodule is used for clustering 24 hours corresponding to the homogeneous day into a plurality of homogeneous periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the homogeneous day for any group of homogeneous days.

In one possible implementation, in a case where the homogeneous time period is a time period within a particular day, the apparatus further includes: the first scheme determining module is used for obtaining a target timing scheme corresponding to the special day according to a preset timing scheme; or the second scheme determining module is used for determining the target timing scheme corresponding to the special day according to the traffic flow information of the same time period of the special day.

In one possible implementation, the optimization module includes: the determining submodule is used for determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relation of the intersections in the target area; the single intersection optimization submodule is used for optimizing a timing scheme of the single intersection in the homogeneous time period according to intersection information of the single intersection and corresponding traffic flow information aiming at the single intersection in the target area to obtain a target timing scheme of the single intersection in the homogeneous time period; and/or the intersection group optimization submodule is used for optimizing a timing scheme of each intersection in the intersection group in the homogeneous time period according to the traffic signal optimization target corresponding to the intersection group aiming at the intersection group in the target area, so as to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period.

In one possible implementation manner, the intersection information includes an intersection topological relation, the intersection topological relation includes at least one of an upstream-downstream relation between intersections in the target area and a road length between the upstream-downstream intersections, and the apparatus further includes: and the constraint relation determining module is used for determining the mutual constraint relation of the intersections in the target area according to the intersection topological relation of the intersections in the target area and the traffic flow information of the intersections in the target area.

In a possible implementation manner, in a case that a special scene occurs within the homogeneous period, the optimization module includes: and the special scene optimization submodule is used for optimizing the time distribution scheme corresponding to the special scene according to the traffic flow information corresponding to the special scene and the intersection information under the time interval range to which the special scene belongs, so as to obtain the target time distribution scheme corresponding to the special scene.

In a possible implementation manner, the control module is specifically configured to respond to a signal control operation for a traffic signal in any homogeneous time period, and issue a target timing scheme indicated by the signal control operation to a traffic signal controller corresponding to each intersection in the target area, so that the traffic signal controller controls the traffic signal according to the target timing scheme.

According to an aspect of the present disclosure, there is provided an electronic device including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.

In the embodiment of the disclosure, the intersection information and the traffic flow information of each intersection in the historical time of the target area can be utilized to determine the homogeneous time periods with similar traffic flow rules, and then the timing scheme in each homogeneous time period is optimized to obtain the optimized target timing scheme corresponding to each homogeneous time period, and then the traffic signals of each intersection in the target area are controlled according to the target timing scheme corresponding to at least one homogeneous time period, so that the intersections in the whole target area are optimized in a unified time-sharing manner as a whole, and thus the traffic signals of each intersection in the target area are adapted to the traffic flow change of the whole target area in different time periods, and the traffic balance and high efficiency of the whole target area are realized, and the traffic jam phenomenon is reduced.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

Fig. 1 shows a flow chart of a traffic signal control method according to an embodiment of the present disclosure.

Fig. 2 shows a schematic diagram of an intersection topological relationship according to an embodiment of the present disclosure.

FIG. 3 illustrates a schematic diagram of an intersection canalization feature according to an embodiment of the disclosure.

Fig. 4 shows a schematic view of a camera mounting location according to an embodiment of the present disclosure.

Fig. 5 shows a schematic view of a range of viewing angles of a camera according to an embodiment of the present disclosure.

Fig. 6 shows a schematic diagram of a lane-level traffic flow determination method according to an embodiment of the present disclosure.

FIG. 7 shows a schematic diagram of a steering stage traffic flow determination method according to an embodiment of the present disclosure.

Fig. 8 illustrates a schematic diagram of a traffic signal timing scheme in accordance with an embodiment of the present disclosure.

Fig. 9 shows a homogeneous daily clustering diagram according to an embodiment of the disclosure.

Fig. 10 is a schematic diagram illustrating a target timing scheme determination manner according to an embodiment of the disclosure.

Fig. 11 shows a schematic diagram of a time division manner according to an embodiment of the present disclosure.

Fig. 12 illustrates a block diagram of a traffic signal control device according to an embodiment of the present disclosure.

Fig. 13 illustrates a block diagram of an electronic device 1900 in accordance with an embodiment of the disclosure.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

Fig. 1 illustrates a flowchart of a traffic signal control method according to an embodiment of the present disclosure, which may be performed by an electronic device such as a terminal device or a server, the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like, and the method may be implemented by a processor calling computer-readable instructions stored in a memory or may be performed by a server. As shown in fig. 1, the traffic signal control method includes:

in step S11, intersection information, traffic flow information, and timing schemes of traffic signals for each intersection of the target area within the history time period are acquired.

The intersection information represents at least one of topological relation and channelized characteristic of each intersection in the target area, the traffic flow information represents traffic flow of each intersection in the target area, and the timing scheme represents signal configuration of traffic signals of each intersection in the target area. It should be understood that the intersection information, the traffic flow information, and the timing scheme may be known information, the information may be manually collected and stored information, and when the timing scheme needs to be optimized, the information may be directly called, and the source of each of the above information is not limited by the embodiment of the present disclosure.

In a possible implementation manner, a camera may be erected on a lamp post on the side of an entrance lane of the intersection, and the camera may be spaced from a stop line of the entrance lane by 30 meters to 50 meters, so that a video of the intersection may be clearly captured, and thus the intersection information, traffic flow information, timing scheme and other information may be identified from the video captured by the camera on each side of the entrance lane. It should be understood that the recognition of the above-mentioned various information from the video can be realized by those skilled in the art using artificial intelligence algorithms in the field, such as neural networks, and the embodiment of the present disclosure is not limited thereto.

The topological relation of the intersections comprises at least one of an upstream-downstream relation among the intersections in the target area and a road section length between the upstream-downstream intersections; the upstream and downstream intersections can be understood as two adjacent intersections which pass through each other, and the length of the road section between the upstream and downstream intersections can be understood as the length of the road section between the two adjacent intersections which pass through each other.

Fig. 2 is a schematic diagram illustrating a topological relationship of an intersection according to an embodiment of the present disclosure, where as shown in fig. 2, serial numbers 1 to 14 represent intersections, arrows represent road directions, for example, in an east-west direction, an intersection 4 is located upstream of the intersection 3, an intersection 2 is located downstream of the intersection 3, an upstream intersection 3 and the intersection 4 are upstream and downstream intersections, and an upstream intersection 3 and the intersection 2 are downstream and downstream intersections; according to the direction from south to north, the upstream of the intersection 3 is the intersection 11, the downstream of the intersection 3 is the intersection 10 and the like, the intersection 3 and the intersection 11 are upstream and downstream intersections, the intersection 3 and the intersection 10 are upstream and downstream intersections, and the like.

The channelized characteristics of the intersection comprise at least one of the shape of each intersection in the target area, the included angle between the central line of an intersection road section and the due north direction, whether the intersection road section has a pedestrian crossing or not, the number of the entrance lanes, the steering function of the entrance lanes and the number of the exit lanes; the shape of the intersection includes, for example, "cross", "T", "Y", and the like, the intersection road section may be understood as a road section connected to the intersection, the entrance lane may be understood as a lane entering the intersection, the steering function of the entrance lane may include straight running, left turning, right turning, straight running, right turning, and the like, and the exit lane may be understood as a lane leaving the intersection.

FIG. 3 is a schematic diagram showing intersection canalization characteristics according to an embodiment of the disclosure, as shown in FIG. 3, the intersection is in a cross shape, an included angle between a center line of an intersection section 1 and a due north direction is 0 degree, an included angle between a center line of an intersection section 2 and the due north direction is 90 degrees, an included angle between a center line of the intersection section 3 and the due north direction is 180 degrees, an included angle between a center line of an intersection section 4 and the due north direction is 270 degrees, the intersection sections 1-4 all have pedestrian crossings, the intersection section 1 has 4 entrance lanes and 3 exit lanes, 4 entrance lanes of the intersection section 1 respectively have left-turn, straight-run, and right-turn steering functions, the intersection section 2 has 4 entrance lanes and 2 exit lanes, and 4 entrance lanes of the intersection section 2 respectively have left-turn, straight-run, and right-turn steering functions, the number of entrance lanes, steering functions and exit lanes for each of the other intersection segments 3 and 4, and so on. In the present embodiment, the entrance lane and the exit lane are both relative to the intersection, that is, the lane entering the intersection from the 4-direction links and the lane leaving the intersection.

In one possible implementation, the traffic flow information includes at least one of lane-level traffic flow and flow-direction-level traffic flow, where the lane-level traffic flow represents traffic flow on each lane, and the flow-direction-level traffic flow represents traffic flow on different turns on each lane. The lane-level traffic flow may be understood as the traffic flow entering the intersection calculated by the lane, the flow-direction-level traffic flow may be understood as the traffic flow calculated by the steering function, including, for example, the traffic flow of a left turn, the traffic flow of a right turn, the traffic flow of a straight run, etc., the traffic flow may be understood as the number of vehicles entering the intersection, or the number of vehicles leaving the intersection, and it may be understood that the number of vehicles entering the intersection is the same as the number of vehicles leaving the intersection.

It should be understood that the traffic flow information of each intersection can be counted by a person skilled in the art by using a traffic flow counting method known in the art, and the embodiment of the present disclosure is not limited thereto. For example, a camera may be erected on a lamp post on the side of an entrance lane of the intersection, and the camera may be spaced from a stop line of the entrance lane by 30 meters to 50 meters, so that a video of the entrance lane of the intersection may be clearly captured, and thus, traffic flow statistics may be performed by using the video captured by the cameras on the side of each entrance lane to obtain traffic flow information of the intersection. Fig. 4 shows a schematic diagram of an installation position of a camera according to an embodiment of the present disclosure, fig. 5 shows a schematic diagram of a viewing angle range of a camera according to an embodiment of the present disclosure, and the installation position shown in fig. 4 may have the viewing angle range shown in fig. 5, so that videos of each entrance lane can be clearly photographed for traffic flow statistics.

Fig. 6 is a schematic diagram illustrating a lane-level traffic flow determining method according to an embodiment of the present disclosure, and in a possible implementation manner, as shown in fig. 6, performing traffic flow statistics by using videos captured by cameras on each entry lane side to obtain lane-level traffic flow at an intersection may include: carrying out vehicle track analysis on videos shot by the cameras on the sides of the entrance lanes to obtain vehicle tracks of all vehicles in the videos; determining the intersection point between the vehicle track of each vehicle and the detection line according to the vehicle track of each vehicle and the coordinates of the input detection line; and clustering the intersection points to obtain the traffic flow on each lane, namely obtaining the lane level traffic flow. The detection lines can be line segments used for judging vehicles entering the intersection on each lane, and it can be understood that if the vehicle track of a certain vehicle and the detection lines have intersection points, meaning that the vehicle crosses the detection lines, the vehicle is considered to enter the intersection; the coordinates of the detection lines are used for representing the position coordinates of the detection lines in the video; a density-based clustering algorithm may be employed when clustering the intersection points.

Fig. 7 is a schematic diagram illustrating a method for determining a turning-level traffic flow according to an embodiment of the present disclosure, and in a possible implementation manner, as shown in fig. 7, performing traffic flow statistics by using videos shot by cameras on each entrance lane side to obtain a turning-level traffic flow at an intersection may include: carrying out vehicle track analysis on videos shot by the cameras on the sides of the entrance lanes to obtain vehicle tracks of all vehicles in the videos; determining exit points of the vehicles exiting the entrance lane according to the vehicle tracks of the vehicles and the input coordinates of the detection lines; determining the steering of each vehicle according to the position of the exit point of each vehicle; and according to the steering of each vehicle, counting the traffic flow of each steering to obtain the steering-level traffic flow.

As described above, coordinates of the detection lines are used to represent position coordinates of the detection lines in the video, the detection lines may be line segments for determining vehicles entering the intersection on respective lanes, the vehicles crossing the detection lines may be considered as vehicles entering the intersection, and may also be considered as vehicles exiting the entrance lane, and then a position on a trajectory of the vehicles crossing the detection lines on a side of the intersection may be determined as an exit point, and the position may be, for example, a position having a certain distance from the detection lines. It should be understood that the exit points of the vehicles with different turning directions are different, for example, the exit point of the straight-going vehicle of the south entrance lane of the intersection is usually located in the area close to the north exit lane, the exit point of the left-turning vehicle is usually located in the area close to the west exit lane, and the exit point of the right-turning vehicle is usually located in the area close to the east exit lane, so that the turning direction of each vehicle can be determined according to the position of the exit point of each vehicle on each entrance lane of the intersection, and the traffic flow of each turning direction can be counted.

In one possible implementation, the timing scheme of the traffic signal includes at least one of each phase corresponding to the traffic signal, a signal phase of each phase, and a period duration required for each phase to change for one week in sequence. Each phase corresponding to the traffic signal may be understood as a signal sequence formed by changes of each traffic signal in the phase, each traffic signal in the phase may include a red-yellow-green signal or a red-green signal, and each phase may at least include a north-south straight phase, a north-south left-turn phase, an east-west straight phase, an east-west left-turn phase, and the like; the signal phase of each phase can represent the road right state of each phase in the period time, the road right state can represent the phase for obtaining the road right and the time for obtaining the road right in the same signal phase, the obtained road right can be understood as green-yellow-red change or green-red change, and the phase for obtaining the road right can be understood as the phase for currently having red-yellow-green signal change or red-green signal change. It should be understood that the signal duration of each color signal in each phase can be set by self-definition, and the embodiment of the present disclosure is not limited thereto.

Fig. 8 is a schematic diagram illustrating a traffic signal timing scheme according to an embodiment of the disclosure, where the timing scheme shown in fig. 8 includes 4 phases and 4 signal phases; phase 1 represents the north-south straight line, and there is a 20-second road right state in signal phase 1; phase 2 represents a north-south turn, and the signal phase 2 has a road right state of 30 seconds; phase 3 represents east-west straight going, and there is a 20 second road right state in signal phase 3; phase 4 represents an east-west left turn, there is a road right state of 30 seconds in signal phase 4, and the cycle time required for 4 phases to change sequentially for one week is 100 seconds.

In one possible implementation, the timing scheme of the traffic signals may be understood as an ordered set of information such as phases, signal sequences of the traffic signals in the phases, and signal durations of the traffic signals in the phases. When the historical time duration is one day, the timing scheme of the traffic signals may include different signal control time durations in one day (for example, an early peak time duration, a late peak time duration, and the like) set to adapt to different traffic flow rules, and an ordered set of information of phases, signal sequences of the traffic signals in the phases, signal time durations of the traffic signals in the phases, and the like, of the signal control time durations, and the ordered set in one day may be referred to as a day plan. When the historical duration is one year, the timing scheme for traffic signals may include a collection of daily schedules executed on different dates within the year.

In step S12, at least one homogeneous time period within the history time period is determined according to the traffic flow information at each intersection, and the homogeneous time period represents a time period within the history time period in which the traffic flow laws of each intersection of the target area are similar.

For example, for an urban area, the total traffic flow at each intersection from 7 to 8 points in the working day is similar to the total traffic flow at the intersections from 8 to 9 points, and has a larger difference with the total traffic flow at the intersections in other time periods, and two hours from 7 to 9 points can be considered as a homogeneous time period.

In one possible implementation manner, when the historical time length is one day, at least one homogeneous time period with similar traffic flow laws is determined on the basis of traffic flow information of each hour in 24 hours a day in units of hours; when the historical duration is one month, it may be determined, in units of days, based on traffic flow information of days in one month, homogeneous days with similar traffic flow laws (for example, monday to friday in one month are homogeneous days, saturday and sunday are homogeneous days), and then, for traffic flow information of hours in each group of homogeneous days, at least one homogeneous period with similar traffic flow laws is determined, for example, homogeneous periods from 7 point to 9 point in monday to friday, homogeneous periods from 9 point to 18 point, homogeneous periods from 9 point to 11 point in saturday and sunday, homogeneous periods from 11 point to 17 point, and the like. Wherein, the same time distribution scheme is adopted in the same time period in the same day.

In a possible implementation manner, when the historical duration is one year, a homogeneous month with similar traffic flow rules (for example, homogeneous months for 7 months and 8 months, homogeneous months for 12 months and 1 month, and the like) may be determined based on the traffic flow information of each month in the year in units of months, and then a homogeneous day with similar traffic flow rules may be determined based on the traffic flow information of each day in the homogeneous month; and then determining homogeneous time periods with similar traffic flow laws according to the traffic flow information of each hour in each group of homogeneous days. Wherein, the homogeneous time period of the homogeneous day of the homogeneous month adopts the same timing scheme.

It should be understood that, persons skilled in the art may use intelligent algorithms known in the art, such as a clustering algorithm, a clustering network, etc., to cluster the historical time duration into at least one homogeneous time period with similar traffic flow laws according to the traffic flow information, and the embodiment of the present disclosure is not limited thereto.

In step S13, for any homogeneous time period, the timing scheme in the homogeneous time period is optimized according to the traffic flow information and the intersection information corresponding to the homogeneous time period, so as to obtain a target timing scheme in the homogeneous time period.

It should be understood that the time allocation scheme is optimized to reduce traffic congestion at each intersection of the target area and improve vehicle flow rate in the whole target area, for example, if traffic flow of a south-north main road of the target area is large and the traffic flow rate is slow in a homogeneous period and traffic congestion often occurs, signal duration of green traffic signals corresponding to south-north straight traveling and south-north left turning can be increased, that is, a signal phase of a phase corresponding to the south-north straight traveling and the south-north left turning is increased; if the traffic flow of the left-turn entrance lane of the east-side intersection road section of a certain intersection is large and the vehicle flow rate is low, the signal duration of the green traffic signal corresponding to the east-west left-turn can be increased, and the signal phase of the phase corresponding to the east-west left-turn can be increased. The vehicle flow rate can be understood as a vehicle flow rate in unit time, wherein the faster the vehicle flow rate is, the smoother the traffic is, and the slower the vehicle flow rate is, the more congested the traffic is.

In a possible implementation manner, the mapping relationship between the sample traffic flow information, the sample intersection information and the sample timing scheme may be learned through an artificial intelligence algorithm known in the art, such as a deep neural network, so that the learned mapping relationship may be utilized to optimize the timing scheme in the homogeneous period, for example, the signal duration of the traffic signal in the timing scheme of the intersection with a large vehicle flow and a slow vehicle flow rate is adjusted, so as to obtain a target timing scheme in the homogeneous period, that is, to recommend a more reasonable target timing scheme in the homogeneous period.

In step S14, traffic signals at each intersection in the target area are controlled according to the target timing scheme corresponding to the at least one homogeneous time period.

In a possible implementation manner, a target timing scheme corresponding to the homogeneous time period may be periodically and automatically triggered and issued to the traffic signal controller corresponding to each intersection in the target area, so that the traffic signal controller controls the traffic signals according to the target timing scheme. The traffic signal controller is generally disposed in the traffic signal lamp, and may be configured to receive a target timing scheme and control the traffic signal according to the target timing scheme.

Considering that a user may not adopt an optimized target timing scheme or expect to switch timing schemes at any time, in one possible implementation manner, controlling traffic signals of intersections in a target area according to a target timing scheme corresponding to at least one homogeneous time period includes: responding to the signal control operation of the traffic signals in any homogeneous time period, and issuing the target timing scheme indicated by the signal control operation to the traffic signal controllers corresponding to the intersections in the target area, so that the traffic signal controllers control the traffic signals according to the target timing scheme. By the mode, a user can independently select a target timing scheme, the flexibility of traffic signal control is improved, and various traffic signal control requirements are met.

The user can select a target timing scheme at any homogeneous time period through the interactive interface corresponding to the signal control scheme, and determine to send the timing scheme to the traffic signal controllers corresponding to all intersections in the target area, namely, the target timing scheme indicated by the signal control operation is sent to the traffic signal controllers corresponding to all intersections in the target area. It should be understood that, those skilled in the art may adopt software development techniques known in the art to design and implement a software program of the above-mentioned traffic signal control method and a corresponding interactive interface, and various related controls for implementing signal control operations may be provided in the interactive interface, so that the embodiment of the present disclosure is not limited thereto.

In one possible implementation, steps S11 to S13 may be periodically performed, for example, every m weeks, to optimize the timing scheme, and the optimized target timing scheme may be stored in a database for management. When the target timing scheme needs to be issued, the target timing scheme of each intersection in the whole target area at the homogeneous time period can be called from the database, and the target timing scheme of each intersection in the whole target area at the homogeneous time period is issued to the traffic signal controller of each intersection.

In a possible implementation manner, after the target timing scheme is used, the overall traffic running state in the target area may be periodically evaluated according to a certain evaluation index, such as vehicle flow rate, traffic jam times, and the like, so as to measure the effect of the target timing scheme.

As described above, the historical duration may be 1 year, that is, the historical duration may be many months, and in one possible implementation, in step S12, determining at least one homogeneous period within the historical duration according to the traffic flow information at each intersection includes:

step S121: clustering a plurality of months into a plurality of groups of homogeneous months with similar traffic flow laws according to the traffic flow information at each intersection corresponding to the plurality of months;

step S122: for any group of homogeneous months, clustering multiple days corresponding to the homogeneous months into multiple groups of homogeneous days with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each day in the homogeneous months;

step S123: and for any group of homogeneous days, clustering the 24 hours corresponding to the homogeneous days into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the homogeneous days.

As described above, the traffic flow law may be simply understood as an action law or a traffic flow of vehicles on the road, and months with similar traffic flow laws in multiple months may be analyzed through the traffic flow information corresponding to multiple months to obtain homogeneous months, for example, homogeneous months with similar traffic flow laws in 7 months and 8 months, homogeneous months with similar traffic flow laws in 12 months and 1 month, and the like; according to the traffic flow information corresponding to each day in the homogeneous month, the days with similar traffic flow rules in the homogeneous month can be analyzed to obtain homogeneous days, for example, one to friday of each week in 7 months and 8 months can be homogeneous days with similar traffic flow rules, and saturday and sunday can be homogeneous days with similar traffic flow rules; and analyzing time periods with similar traffic flow rules in the homogeneous day according to the traffic flow information corresponding to each hour in the homogeneous day to obtain homogeneous time periods, for example, homogeneous time periods from 7 o 'clock to 9 o' clock in Monday to Friday, homogeneous time periods from 9 o 'clock to 18 o' clock, and the like. It should be understood that the same timing scheme is used for the homogeneous time periods on the homogeneous days of the homogeneous month.

Considering that the historical duration may include a special day, the special day may include a legal holiday, the traffic flow regulation of the special day is usually distinguished from the homogeneous day, the date of the special day is fixed, such as five-one and eleven, and the date of the special day is not fixed, such as morning, mid-autumn and spring festival, and the like, and the special day may be distinguished from the non-special day by the homogeneous period separately and accurately, so as to facilitate obtaining a corresponding target timing scheme for the special day.

In one possible implementation manner, in step S12, determining at least one homogeneous period within the historical duration according to the traffic flow information at each intersection includes: and clustering 24 hours corresponding to the special day into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the special day. By the method, the homogeneous time period can be independently determined for the special day, so that the optimization of the time distribution scheme corresponding to the special day is facilitated, and the target time distribution scheme corresponding to the special day is obtained.

It should be understood that a person skilled in the art may use an intelligent algorithm known in the art, such as a clustering algorithm, a clustering network, etc., to implement clustering of multiple months into multiple groups of homogeneous months with similar traffic flow laws, clustering of multiple days corresponding to each group of homogeneous months into multiple groups of homogeneous months with similar traffic flow laws, clustering of 24 hours corresponding to each group of homogeneous days into multiple homogeneous days with similar traffic flow laws, and clustering of 24 hours corresponding to a special day into multiple homogeneous periods with similar traffic flow laws, which is not limited to the embodiment of the present disclosure.

Fig. 9 shows a schematic diagram of homogeneous day clustering according to an embodiment of the present disclosure, as shown in fig. 9, 12 months in a year may be clustered into a group of homogeneous months, and then, for example, a group 2 of homogeneous months may be clustered into b groups of homogeneous days, and statutory holidays 1 to t may be determined, where a is a positive integer less than 12, b is a positive integer less than 31, and t is a positive integer.

In the embodiment of the disclosure, the homogeneous periods in the homogeneous days in the homogeneous months in the multiple months can be effectively clustered according to the traffic flow information at each intersection in the multiple months under the condition that the historical duration is multiple months.

As mentioned above, the historical duration may include a special day, and in a possible implementation, in the case that the homogeneous period is a period of the special day, the method further includes:

obtaining a target timing scheme corresponding to the special day according to a preset timing scheme; or determining a target timing scheme corresponding to the special day according to the traffic flow information of the same time period of the special day. By the method, the target timing scheme of the special day can be effectively obtained.

The preset time distribution scheme can be understood as a time distribution scheme adopted by various artificially set special days, and the preset time distribution scheme corresponding to the special days in the historical time length can be used as a target time distribution scheme of the special days in the historical time length;

the same time interval of the special day may be understood as the same time interval as the special day, for example, 9 to 10 points of fife in 2021 and 9 to 10 points of fife in 2020 and 9 to 10 points of fife in 2019 are the same time interval, and the target timing scheme of 9 to 10 points of fife in 2021 may be determined according to the traffic flow information of 9 to 10 points of fife in 2020 and the traffic flow information of 9 to 10 points of fife in 2019.

In a possible implementation manner, the mapping relationship between the sample traffic flow information of the special day and the sample timing scheme may be learned through an artificial intelligence algorithm known in the art, for example, a deep neural network, so that the timing scheme corresponding to the special day may be optimized by using the learned mapping relationship, and the target timing scheme of the special day is obtained.

In one possible implementation manner, in step S13, for any homogeneous time period, the optimizing the timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain the target timing scheme in the homogeneous time period includes:

step S131: determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relation of the intersections in the target area;

step S132: aiming at a single intersection in a target area, optimizing a timing scheme of the single intersection in a homogeneous time period according to intersection information of the single intersection and corresponding traffic flow information to obtain a target timing scheme of the single intersection in the homogeneous time period; and/or the presence of a gas in the gas,

step S133: and aiming at the intersection group in the target area, optimizing the target according to the traffic signal corresponding to the intersection group, and optimizing the timing scheme of each intersection in the intersection group in the homogeneous time period to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period.

In one possible implementation manner, in step S131, determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relationship among the intersections in the target area may include: designing an autonomous design intelligent algorithm based on the mutual constraint relationship, and automatically dividing each intersection in the target area into an intersection group and a single intersection through the intelligent algorithm; or, each intersection in the target area may be manually divided into an intersection group and a single intersection, which is not limited in this embodiment of the disclosure.

As described above, the intersection information includes an intersection topological relation, the intersection topological relation includes at least one of an upstream-downstream relation between intersections in the target area and a road length between the upstream-downstream intersections, and in a possible implementation manner, the method further includes: and determining the mutual constraint relation of each intersection in the target area according to the intersection topological relation of each intersection in the target area and the traffic flow information of each intersection in the target area. The mutual constraint relation can represent whether each intersection in the target area is a single intersection or an intersection group formed by the intersection and other intersections.

The preset constraint relation determination rule may be preset, for example, intersections between an upstream intersection and a downstream intersection have a road length smaller than a certain length threshold and traffic flow laws similar to those of the upstream intersection and the downstream intersection to form an intersection group, so that the mutual constraint relation of the intersections in the target area is determined according to the intersection topological relation of the intersections in the target area and the traffic flow information of the intersections in the target area, that is, the upstream intersection and the downstream intersection having the relevant constraint relation in the target area are determined, the intersection group in the target area is obtained, and the intersections in the target area except the intersection group can be determined to be single intersections.

It can be understood that if the length of the road segment between the upstream intersection and the downstream intersection is smaller than a certain length threshold, the timing scheme of the upstream intersection can easily affect the traffic operation of the downstream intersection, for example, if the length of the green light of the straight-ahead south running of the upstream intersection is short, the length of the green light of the straight-north running of the downstream intersection is long, and the length of the road segment between the upstream intersection and the downstream intersection is short, the traffic flow released by the upstream intersection to the downstream intersection can be accumulated on the downstream intersection in a large amount, so that the vehicles at the downstream intersection run slowly and can be jammed, which means that a mutual constraint relationship exists between the upstream intersection and the downstream intersection, and the mutual constraint relationship can be understood as the timing scheme of the upstream intersection affecting the timing scheme of the downstream intersection. If the length of the road section between the upstream intersection and the downstream intersection is greater than a certain length threshold, that is, the length of the road section between the upstream intersection and the downstream intersection is longer, the traffic flow released upstream can be buffered in the longer road section, and the influence on the downstream intersection is smaller, which means that no mutual constraint relation exists between the upstream intersection and the downstream intersection, or the timing scheme of the upstream intersection does not influence the timing scheme of the downstream intersection.

It can be understood that if the traffic flow laws corresponding to a certain upstream and downstream intersection are similar, it can be considered that the traffic flow rates of the upstream and downstream intersections are influenced mutually in the same homogeneous time period, and then the upstream and downstream intersections with similar traffic flow laws can be used as a group of intersection groups to integrally determine a target timing scheme, so that the timing scheme of each intersection in the intersection groups can be integrally optimized, and the traffic balance and the high efficiency of operation of the whole target area can be realized. If the corresponding traffic flow laws of the upstream intersection and the downstream intersection are not similar, for example, the traffic flow of a certain upstream intersection is large and the traffic flow of the downstream intersection is small in a homogeneous period, then there may be no mutual constraint relationship between the upstream intersection and the downstream intersection, or the timing scheme of the upstream intersection does not affect the timing scheme of the downstream intersection.

In a possible implementation manner, in step S132, for example, a mapping relationship between the sample traffic flow information and the sample intersection information corresponding to the single intersection and the sample timing scheme may be learned through an artificial intelligence algorithm known in the art, such as a deep neural network, so that the learned mapping relationship corresponding to the single intersection may be utilized to perform overall optimization on the timing scheme of each single intersection in the homogeneous time period, for example, the signal duration of a certain traffic signal at a certain phase in the timing scheme of the single intersection with a large traffic flow and a slow vehicle flow rate is adjusted, so as to obtain the target timing scheme corresponding to the single intersection in the homogeneous time period.

In step 133, the traffic signal optimization target may be understood as an optimization target unified for each intersection in the intersection group, for example, the traffic signal optimization target may include a queue overflow target, a queue length target, and the like, and it should be understood that the traffic signal optimization target may be a target preset by a manager. In a possible implementation manner, optimizing a timing scheme of each intersection in the intersection group in a homogeneous time period according to a traffic signal optimization target corresponding to the intersection group, and obtaining a target timing scheme of each intersection in the intersection group in the homogeneous time period may include:

and aiming at each intersection in the intersection group, optimizing the timing scheme of each intersection in the intersection group in the homogeneous time period according to the traffic signal optimization target, the intersection information of the intersection and the corresponding traffic flow information, and obtaining the target timing scheme of each intersection in the intersection group in the homogeneous time period. By the method, the target timing scheme of each intersection in the intersection group in the homogeneous time period can be effectively obtained.

For example, a traffic signal optimization target corresponding to the sample intersection group, sample intersection information of each intersection in the intersection group, and a mapping relationship between the sample traffic flow information and the sample timing scheme may be learned through an artificial intelligence algorithm known in the art, such as a deep neural network, so that the learned mapping relationship corresponding to the sample intersection group may be used to perform overall optimization on the timing scheme of each intersection in the intersection group in a homogeneous time period, for example, the signal duration of a green traffic signal in a north-south phase in the timing scheme of the intersection group with a large traffic flow and a slow vehicle flow rate is adjusted, thereby obtaining a target timing scheme corresponding to the intersection group in the homogeneous time period.

Fig. 10 is a schematic diagram illustrating a determination manner of a target timing scheme according to an embodiment of the present disclosure, and as shown in fig. 10, all intersections in a target area may be divided into x intersection groups and y single intersections, for example, a target timing scheme corresponding to the intersection group 1 may include respective target timing schemes of intersections 11 to 1n in the intersection group 1; for a single intersection 1 and a single intersection y, respective target timing schemes can be determined, and x and y are positive integers.

In the embodiment of the disclosure, the intersection groups in the whole target area can be optimized uniformly in time intervals and optimized respectively for single intersections by using the same traffic signal optimization target, so that the traffic signals of all the intersections in the target area can adapt to the traffic flow change of the whole target area in different time intervals, the traffic balance and the high efficiency of operation of the whole target area are realized, and the traffic jam phenomenon is reduced.

In one possible implementation, a homogeneous period on a sunny day or on a special day without a special scene occurring may be defined as a regular period. The homogeneous day or the special day may be divided into a plurality of regular time periods, respectively, based on the traffic flow information and the intersection information for 24 hours in each intersection in the target area. In the same conventional time period, the same traffic signal optimization target is used for uniformly formulating a target timing scheme of the intersections, and the same traffic signal optimization target can be understood as enabling the overall traffic of the target area to be smooth, improving the traffic flow rate and reducing the traffic jam.

The special scenes refer to scenes such as weather changes, temporary activities, vehicle breakdown, traffic accidents and the like occurring in the target area, so that the traffic flow rule in the target area is different from that in a conventional time period which is the same as or similar to that in a conventional day. Fig. 11 illustrates a schematic diagram of a time interval division manner according to an embodiment of the present disclosure, and as shown in fig. 11, a homogeneous day or a special day may be divided into i regular time intervals and j special time intervals to which special scenes belong, that is, a time interval range to which the special scenes belong.

In a possible implementation manner, in the case that a special scene occurs in the homogeneous time period, in step S13, the timing scheme in the homogeneous time period is optimized according to the traffic flow information and the intersection information corresponding to the homogeneous time period, so as to obtain a target timing scheme in the homogeneous time period, where the method includes: and optimizing the timing scheme corresponding to the special scene according to the traffic flow information and the intersection information corresponding to the special scene under the time period range to which the special scene belongs, so as to obtain the target timing scheme corresponding to the special scene.

Wherein the special scene comprises at least one of weather change, temporary activities, vehicle faults and traffic accidents. The time period range to which the special scene belongs may be understood as a homogenous time period when the special scene occurs, for example, the time period range to which the special scene belongs may include at least one of an early peak, a daily peak, a late peak, and a night peak.

It should be understood that the target timing schemes in the time period ranges to which different special scenes belong are different, for example, a traffic accident occurring in an early peak and a traffic accident occurring in a daily average have different degrees of influence on traffic operation in the target area, so that the target timing scheme corresponding to a special time period can be determined according to the traffic flow information and intersection information corresponding to the special scene in the time period ranges to which the special scenes belong.

The time distribution scheme corresponding to the optimized special time interval can be, for example, a target time distribution scheme obtained by manually adjusting the time distribution scheme corresponding to the special time interval of the special scene according to the time interval range, the traffic flow information and the intersection information to which the special scene belongs; of course, the mapping relationship between the sample time period range to which the sample special scene belongs, the sample traffic flow information in the sample time period range, the sample intersection information and the sample timing scheme can be learned through an artificial intelligence algorithm known in the art, such as a deep neural network, so that the timing scheme corresponding to each special scene can be optimized by using the learned mapping relationship corresponding to each special scene, and the target timing scheme of each intersection in the target area under the special scene can be obtained.

It should be understood that when the timing scheme is optimized, intersection information such as intersection canalization characteristics and the like needs to be known so as to determine information such as each phase corresponding to a traffic signal in the target timing scheme, a signal phase of each phase and the like; according to the traffic flow information corresponding to the special scene in the time period range to which the special scene belongs, intersections in which the timing scheme needs to be optimized can be determined, for example, intersections in some special scenes are large in traffic flow but low in flow speed, in order to enable overall traffic of the target area to be smooth, increase traffic flow speed and reduce traffic jam, the passing time of the intersections in the special scenes can be increased (namely, the green light time is increased), the waiting time is shortened (namely, the red light time is shortened), and the like, and the embodiment of the disclosure is not limited.

In the embodiment of the disclosure, the target timing schemes corresponding to various special scenes can be determined more carefully aiming at the special scenes in the homogeneous time period, so that the traffic signal control in the target area can respond to the occurrence of various special scenes, the control requirements of the traffic signals in various special scenes are met, and the flexibility of the traffic signal control in the target area is improved.

According to the embodiment of the disclosure, for example, the method can be applied to a target area which is often rained, a traffic signal control scheme for rainy days is difficult to form due to irregular raining time, and a traffic signal control mode in the related art is generally to adjust timing schemes of intersections in the whole target area according to time intervals, and the timing schemes of the intersections cannot be adjusted according to a rainy scene, so that traffic jam of the target area is frequently caused. According to the embodiment of the disclosure, a homogeneous month, a homogeneous day and a homogeneous time period can be clustered based on a large amount of historical traffic flow information and intersection information of the target area, a target timing scheme of a special scene is recommended for special scenes (such as early peak raining, daily peak raining and the like), and the timing scheme of each intersection in the target area is issued to the traffic signal controller.

In the related art, the traditional traffic signal control mode mainly utilizes the traffic signal control basic theory to optimize a single-intersection signal control scheme under a time-interval control scene. According to the embodiment of the disclosure, the concept of reinforcement learning is used for reference, based on a large amount of historical traffic flow information and intersection information, homogeneous months, homogeneous days and homogeneous time periods are clustered, control scenes of various traffic signals are divided, a timing scheme is optimized by taking the optimal overall traffic running state of a target area as a target, the target timing scheme is uniformly managed, and the target timing scheme is uniformly issued to a traffic signal controller.

According to the embodiment of the disclosure, the upstream-downstream relation between each intersection in the target area can be displayed more simply, and the maintenance cost of a target timing scheme in the target area is reduced; the normal time interval and the special time interval can be more finely divided, and the flexibility of traffic signal control in a target area is improved; the timing scheme of each intersection in the target area can be regularly and uniformly optimized by taking the optimal global traffic running state as a target, and a large amount of labor input for the timing scheme optimization is saved.

It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted. Those skilled in the art will appreciate that in the above methods of the specific embodiments, the specific order of execution of the steps should be determined by their function and possibly their inherent logic.

In addition, the present disclosure also provides a traffic signal control device, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the traffic signal control methods provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are not repeated.

Fig. 12 illustrates a block diagram of a traffic signal control apparatus according to an embodiment of the present disclosure, the apparatus including, as shown in fig. 12:

the acquisition module 101 is configured to acquire intersection information, traffic flow information and a timing scheme of a traffic signal of each intersection in a historical time period of a target area;

a determining module 102, configured to determine, according to the traffic flow information at each intersection, at least one homogeneous time period within the historical time period, where the homogeneous time period represents a time period within the historical time period in which traffic flow laws of each intersection of the target area are similar;

the optimization module 103 is configured to optimize a timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period, so as to obtain a target timing scheme in the homogeneous time period;

and the control module 104 is configured to control traffic signals of each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period.

In a possible implementation manner, the historical duration is a plurality of months, wherein the determining module 102 includes: the homogeneous month clustering submodule is used for clustering the months into a plurality of groups of homogeneous months with similar traffic flow laws according to the traffic flow information at each intersection corresponding to the months; the homogeneous day clustering submodule is used for clustering multiple days corresponding to a homogeneous month into multiple groups of homogeneous days with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each day in the homogeneous month aiming at any group of homogeneous months; and the homogeneous period clustering submodule is used for clustering 24 hours corresponding to the homogeneous day into a plurality of homogeneous periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the homogeneous day for any group of homogeneous days.

In a possible implementation manner, the optimization module 103 includes: the determining submodule is used for determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relation of the intersections in the target area; the single intersection optimization sub-module is used for optimizing a timing scheme of the single intersection within the homogeneous time period according to the intersection information of the single intersection and the corresponding traffic flow information aiming at the single intersection in the target area, so as to obtain a target timing scheme of the single intersection within the homogeneous time period; and/or the intersection group optimization submodule is used for optimizing a timing scheme of each intersection in the intersection group in the homogeneous time period according to the traffic signal optimization target corresponding to the intersection group aiming at the intersection group in the target area, so as to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period.

In a possible implementation manner, in a case that a special scene occurs within the homogeneous period, the optimization module 103 includes: and the special scene optimization submodule is used for optimizing the time distribution scheme corresponding to the special scene according to the traffic flow information corresponding to the special scene and the intersection information under the time interval range to which the special scene belongs, so as to obtain the target time distribution scheme corresponding to the special scene.

In a possible implementation manner, the control module 104 is specifically configured to issue, in response to a signal control operation for a traffic signal in any homogeneous time period, a target timing scheme indicated by the signal control operation to a traffic signal controller corresponding to each intersection in the target area, so that the traffic signal controller controls the traffic signal according to the target timing scheme.

In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.

Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a volatile or non-volatile computer readable storage medium.

An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.

The disclosed embodiments also provide a computer program product comprising computer readable code or a non-transitory computer readable storage medium carrying computer readable code, which when run in a processor of an electronic device, the processor in the electronic device performs the above method.

The electronic device may be provided as a terminal, server, or other form of device.

Fig. 13 illustrates a block diagram of an electronic device 1900 in accordance with an embodiment of the disclosure. For example, electronic device 1900 may be provided as a server or terminal device. Referring to fig. 13, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.

The electronic device 1900 may further comprise a power supply assembly 1926 is configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 is configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system, such as the Microsoft Server operating system (Windows Server), stored in the memory 1932^TM) Apple Inc. of the present application based on the graphic user interface operating System (Mac OS X)^TM) Multi-user, multi-process computer operating system (Unix)^TM) Free and open native code Unix-like operating System (Linux)^TM) Open native code Unix-like operating System (FreeBSD)^TM) Or the like.

In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as punch cards or in-groove raised structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK) or the like.

The foregoing description of the various embodiments is intended to highlight various differences between the embodiments, and the same or similar parts may be referred to each other, and for brevity, will not be described again herein.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

If the technical scheme of the application relates to personal information, a product applying the technical scheme of the application clearly informs personal information processing rules before processing the personal information, and obtains personal independent consent. If the technical scheme of the application relates to sensitive personal information, before the sensitive personal information is processed, a product applying the technical scheme of the application obtains individual consent and simultaneously meets the requirement of 'explicit consent'. For example, at a personal information collection device such as a camera, a clear and significant identifier is set to inform that the personal information collection range is entered, the personal information is collected, and if the person voluntarily enters the collection range, the person is regarded as agreeing to collect the personal information; or on the device for processing the personal information, under the condition of informing the personal information processing rule by using obvious identification/information, obtaining personal authorization by modes of popping window information or asking a person to upload personal information of the person by himself, and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing method, and a type of personal information to be processed.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A traffic signal control method, comprising:

acquiring intersection information, traffic flow information and a timing scheme of traffic signals of each intersection of a target area within a historical time;

determining at least one homogeneous time period in the historical time period according to the traffic flow information at each intersection, wherein the homogeneous time period represents a time period with similar traffic flow rules of each intersection in the target area in the historical time period;

aiming at any homogeneous time period, optimizing a timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain a target timing scheme in the homogeneous time period;

and controlling the traffic signals of each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period.

2. The method of claim 1, wherein the historical time period is a plurality of months, wherein the determining at least one homogeneous period within the historical time period based on the traffic flow information at the intersections comprises:

clustering the multiple months into multiple groups of homogeneous months with similar traffic flow laws according to the traffic flow information at each intersection corresponding to the multiple months;

for any group of homogeneous months, clustering multiple days corresponding to the homogeneous months into multiple groups of homogeneous days with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each day in the homogeneous months;

and for any group of homogeneous days, clustering the 24 hours corresponding to the homogeneous days into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the homogeneous days.

3. The method of claim 1 or 2, wherein the historical time period comprises a special day, wherein the determining at least one homogeneous period within the historical time period according to the traffic flow information at the intersections comprises:

and clustering 24 hours corresponding to the special day into a plurality of homogeneous time periods with similar traffic flow laws according to the traffic flow information at each intersection corresponding to each hour in the special day.

4. The method according to any one of claims 1-3, wherein in case the period of homogeneity is a period within a particular day, the method further comprises:

obtaining a target timing scheme corresponding to the special day according to a preset timing scheme; or,

and determining a target timing scheme corresponding to the special day according to the traffic flow information of the same time period of the special day.

5. The method according to any one of claims 1 to 4, wherein for any homogeneous time period, optimizing a timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain a target timing scheme in the homogeneous time period comprises:

determining at least one of a single intersection and an intersection group in the target area according to the mutual constraint relation of the intersections in the target area;

aiming at a single intersection in the target area, optimizing a timing scheme of the single intersection in the homogeneous time period according to intersection information of the single intersection and corresponding traffic flow information to obtain a target timing scheme of the single intersection in the homogeneous time period; and/or the presence of a gas in the gas,

and aiming at the intersection group in the target area, optimizing a target according to the traffic signal optimization target corresponding to the intersection group, and optimizing the timing scheme of each intersection in the intersection group in the homogeneous time period to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period.

6. The method of claim 5, wherein the intersection information comprises intersection topological relationships including at least one of upstream and downstream relationships between intersections within the target area and link lengths between upstream and downstream intersections, the method further comprising:

and determining the mutual constraint relation of each intersection in the target area according to the intersection topological relation of each intersection in the target area and the traffic flow information of each intersection in the target area.

7. The method according to claim 5, wherein the optimizing the timing scheme of each intersection in the intersection group in the homogeneous time period according to the traffic signal optimization goal corresponding to the intersection group to obtain the target timing scheme of each intersection in the intersection group in the homogeneous time period comprises:

and aiming at each intersection in the intersection group, optimizing a timing scheme of the intersection in the homogeneous time period according to the traffic signal optimization target, the intersection information of the intersection and the corresponding traffic flow information to obtain a target timing scheme of each intersection in the intersection group in the homogeneous time period.

8. The method according to any one of claims 1 to 7, wherein, when a special scene occurs in the homogeneous time period, the optimizing the timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period to obtain the target timing scheme in the homogeneous time period comprises:

and optimizing the time distribution scheme corresponding to the special scene according to the traffic flow information corresponding to the special scene and the intersection information under the time interval range to which the special scene belongs to obtain the target time distribution scheme corresponding to the special scene.

9. The method according to claim 1, wherein the controlling traffic signals at each intersection within the target area according to the target timing scheme corresponding to the at least one homogeneous time period comprises:

responding to signal control operation aiming at traffic signals in any homogeneous time period, and issuing a target timing scheme indicated by the signal control operation to the traffic signal controllers corresponding to the intersections in the target area, so that the traffic signal controllers control the traffic signals according to the target timing scheme.

10. A traffic signal control apparatus, comprising:

the acquisition module is used for acquiring intersection information, traffic flow information and a timing scheme of a traffic signal of each intersection in the historical time of the target area;

a determining module, configured to determine at least one homogeneous time period within the historical time period according to the traffic flow information at each intersection, where the homogeneous time period represents a time period within the historical time period in which traffic flow laws of each intersection of the target area are similar;

the optimization module is used for optimizing the timing scheme in the homogeneous time period according to the traffic flow information and the intersection information corresponding to the homogeneous time period aiming at any homogeneous time period to obtain a target timing scheme in the homogeneous time period;

and the control module is used for controlling the traffic signals of each intersection in the target area according to the target timing scheme corresponding to the at least one homogeneous time period.

11. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 9.

12. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 9.