WO2018149308A1

WO2018149308A1 - Road traffic optimization method and device and electronic apparatus

Info

Publication number: WO2018149308A1
Application number: PCT/CN2018/075062
Authority: WO
Inventors: 王梦佳; 闵万里
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2017-02-15
Filing date: 2018-02-02
Publication date: 2018-08-23
Also published as: CN108428348A; CN108428348B; TW201832190A; TWI766895B

Abstract

The present invention discloses a road traffic optimization method and device and an electronic apparatus. The method comprises: performing analysis, on the basis of acquired road traffic information of a road section to be optimized, to acquire road condition parameters of the road section to be optimized; determining, according to the road condition parameters, vehicle traffic conditions of the road section to be optimized in different time segments; and perform, in a time segment corresponding to the vehicle traffic conditions, optimization control in which traffic signals at road intersections in the road section to be optimized are matched to the vehicle traffic conditions. The road traffic optimization method reduces, by performing corresponding optimization control on traffic signals at road intersections in a road section to be optimized, the number of times that vehicles stop and delay periods during a process of vehicles passing through the road section to be optimized, thereby reducing the time for vehicles to pass through the road section to be optimized, enhancing overall throughput efficiency of a road section to be optimized, and providing more accurate and smarter optimization control for road traffic of a road section to be optimized.

Description

Road traffic optimization method, device and electronic device

The present application claims the priority of the Chinese Patent Application No. JP-A--------- .

Technical field

The present application relates to the field of intelligent transportation, and in particular to a road traffic optimization method. The application also relates to a road traffic optimization device and an electronic device.

Background technique

With the rapid development of the economy and the continuous improvement of living standards, the number of motor vehicles has increased rapidly. Among them, private cars have been pouring into the limited urban traffic network, which has brought tremendous pressure on the urban traffic network. In particular, it has brought many problems to the road intersections in the urban traffic network. As an intersection of two or more roads, a road intersection is the only place for vehicles and pedestrians to gather, turn and evacuate. It is the throat of the urban traffic network. If the traffic signal at the intersection is unreasonable, it is very It may cause frequent traffic lights in passing vehicles, resulting in time delays and fuel waste, which will increase air and noise pollution, and may even cause the driver to be upset and cause traffic accidents. Therefore, road traffic control at road intersections It is especially important.

At present, for the control of traffic signals at road intersections in urban traffic road networks, according to the actual situation of road intersections, the traffic flow information of road intersections in various directions in the past is calculated by software modeling or manual statistics. The traffic information of the vehicle coordinates and optimizes the traffic signals at the intersection. For example, when the survey obtains the refinement speed of a certain section at each time interval, the travel speed, travel time and number of stops of the vehicle flow are usually collected on the road. However, because the method of following the vehicle survey is time-consuming and labor-intensive, the same speed is often used throughout the day to coordinate and optimize the traffic signals. At the same time, due to the number of samples, the sample data obtained by the acquisition has a certain randomness and is credible. The degree is low, so the coordination and optimization of traffic signals at road intersections has certain limitations.

Summary of the invention

The present application provides a road traffic optimization method to solve the limitations of the prior art. The application additionally provides a road traffic optimization device, and an electronic device.

The application provides a road traffic optimization method, including:

Obtaining a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the to-be-optimized road segment;

Determining, according to the road condition parameter, a traffic condition of the to-be-optimized road segment at different time periods;

During the time period corresponding to the traffic flow condition, the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.

Optionally, the road condition parameter includes at least one of: an average running speed, a speed standard deviation, a speed dispersion coefficient at a unit speed level, a speed dispersion coefficient, and an average traveling speed in the road segment to be optimized. Correlation coefficient.

Optionally, the traffic flow condition includes at least one of the following: a traffic flow peak, a traffic flow peak, and a traffic low peak.

Optionally, if the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined as follows:

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than the first speed threshold value; if yes, the traffic flow condition of the to-be-optimized road segment in the current time period is the traffic flow peak; if not, the traffic flow of the to-be-optimized road segment in the current time period The situation is the peak of traffic flow.

Optionally, the first speed threshold is determined according to a difference between an average traveling speed in the to-be-optimized road segment and a speed standard deviation in the to-be-optimized road segment.

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than a second speed threshold value, and if so, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to the first speed discrete threshold value, if greater than or equal to a first speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak; if less than the first speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak; if not, The traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak;

The second speed threshold is determined according to a difference between an average traveling speed in the to-be-optimized road segment and a speed standard deviation in the to-be-optimized road segment.

Optionally, if the traffic flow condition is a traffic flow peak, a traffic flow flat peak, and a traffic flow low peak, correspondingly, the traffic flow condition is determined as follows:

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than a third speed threshold value, and if so, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to a second speed discrete threshold value, if greater than or equal to The second speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak; if less than the second speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak;

If not, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to the third speed discrete threshold value, and if greater than or equal to the third speed discrete threshold value, the traffic flow condition of the to-be-optimized road segment in the current time period is If the traffic flow is lower than the third speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak;

The third speed threshold is determined according to a difference between an average traveling speed in the to-be-optimized road segment and a speed standard deviation in the to-be-optimized road segment.

Optionally, the second speed discrete threshold and the third speed discrete threshold are numerically equal.

Optionally, the optimal control for matching the traffic signal of the road intersection in the to-be-optimized road segment with the traffic flow condition in the time period corresponding to the traffic flow condition is implemented as follows:

Adjusting the phase of the traffic signal of the road intersection in the road section to be optimized within the time period corresponding to the traffic flow condition; the phase difference of the traffic signals of the adjacent two road intersections in the same traffic flow direction, according to the two The ratio between the distance between the two and the speed of the vehicle traveling between the two is determined.

For at least one road intersection in the to-be-optimized road segment, performing an operation of using a preset traffic according to a cycle duration of the traffic signal of the road intersection and a valid green signal ratio in a time period corresponding to the traffic flow condition The signal timing model calculates an average delay time of the road intersection, obtains a corresponding period duration and a valid green signal ratio when the average delay time is a minimum value, and configures according to the obtained period duration and effective green signal ratio. A traffic signal at a road intersection.

Adjusting the phase of the traffic signal of the road intersection in the road section to be optimized within the time period corresponding to the traffic flow condition; the phase difference of the traffic signals of the adjacent two road intersections in the same traffic flow direction, according to the two The ratio between the distance between the two and the speed of the traffic between the two is determined;

And, for at least one road intersection in the to-be-optimized road segment, performing an operation of: using a preset time according to a cycle duration and a valid green signal ratio of the traffic signal of the road intersection in a time period corresponding to the traffic flow condition The traffic signal timing model calculates an average delay time of the road intersection, obtains a corresponding cycle duration and a valid green signal ratio when the average delay time is a minimum value, and obtains a cycle duration and a valid green signal ratio according to the obtained The traffic signal of the road intersection is configured.

Optionally, the constraint of the objective function adopted by the traffic signal timing model includes at least one of the following:

The sum of the green light times of the road intersections and the periodic loss sum is equal to the period duration, and the effective green signal ratio of the road intersections in each phase is greater than or equal to the ratio of the minimum green light time to the period duration;

The minimum green time is determined according to the current actual green time of each phase of the road intersection.

Optionally, the road traffic optimization method includes:

Performing the following operations on at least one sub-road segment into which the road intersection in the road segment to be optimized is divided:

Determining, according to the vehicle traveling speed of the sub-sections in each traffic direction, whether the vehicle speed of the sub-section in each traffic direction is less than a preset threshold, and if so, determining the sub-section as a congestion sub-section, and Traffic signals at adjacent road intersections of congested sections are optimally controlled.

Optionally, the average traveling speed in the to-be-optimized road segment is determined according to an average value of the vehicle traveling speeds of the sub-sections divided into the road intersections in the to-be-optimized road segment.

Optionally, the speed standard deviation is determined according to a standard deviation obtained by calculating a vehicle traveling speed of each sub-section divided into road intersections in the to-be-optimized road section with respect to the average traveling speed.

Optionally, the speed dispersion coefficient at the unit speed level is determined according to a ratio of the speed standard deviation to the average traveling speed.

Optionally, the road traffic optimization method is implemented according to the traffic signal timing model, where the input of the traffic signal timing model is the road traffic information, and the output is the traffic at the road intersection in the road segment to be optimized. The phase of the signal and its corresponding time information, the period of the traffic signal of the road intersection in the road section to be optimized and the effective green signal ratio, and/or the congestion subsection and the corresponding congestion in the road section to be optimized Time period.

Optionally, the road traffic optimization method is implemented based on a pre-established road traffic optimization platform, where the road traffic optimization platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the to-be-optimized road segment. a road traffic optimization service interface of the traffic signal optimization strategy, and/or a data upload interface for uploading the road traffic information;

The traffic signal optimization strategy includes a phase of a traffic signal of each road intersection in the road section to be optimized, and time information corresponding to each phase.

Optionally, the road traffic information in the step of obtaining the road condition parameter of the to-be-optimized road segment is obtained according to the acquired road traffic information analysis of the obtained road segment to be optimized, and is obtained by using at least one of the following methods:

Obtaining navigation data of the to-be-optimized road segment from a third-party map service provider by using the data acquisition interface, where the navigation data includes the road traffic information;

And receiving, by the data uploading interface, road traffic collecting data uploaded by the traffic data collecting device set by the road segment to be optimized, where the road traffic collecting data includes the road traffic information.

Optionally, the road traffic optimization platform is provided with a traffic signal configuration interface, and the road traffic optimization platform combines the interface protocol corresponding to the traffic signal set by the to-be-optimized road segment, and the to-be-optimized by the traffic signal configuration interface Traffic signal of traffic lights at various intersections in the road section

The application also provides a road traffic optimization device, comprising:

a road traffic information analysis unit, configured to obtain a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the acquired road segment;

a traffic condition determining unit, configured to determine, according to the road condition parameter, a traffic condition of the to-be-optimized road segment at different time periods;

And an optimization control unit, configured to perform optimal control on the traffic signal of the road intersection in the to-be-optimized road section to match the traffic condition in a time period corresponding to the traffic flow condition.

The application also provides an electronic device, including:

Memory, and processor;

The memory is for storing computer executable instructions for executing the computer executable instructions:

The road traffic optimization method provided by the present application includes: obtaining a road condition parameter of the to-be-optimized road segment according to the obtained road traffic information analysis of the to-be-optimized road segment; determining, according to the road condition parameter, the traffic flow of the to-be-optimized road segment at different time periods a situation in which the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition during the time period corresponding to the traffic flow condition.

The road traffic optimization method provided by the present application obtains road condition parameters for measuring and determining the traffic condition of the road segment to be optimized according to the road traffic information analysis of the road segment to be optimized obtained when the road traffic to be optimized is optimally controlled. According to the road condition parameters obtained by the analysis, the traffic condition of the road segment to be optimized is determined in different time periods. Finally, in the time period corresponding to the traffic condition of the road segment to be optimized, the traffic flow condition of the road intersection in the road segment is optimized to optimize the traffic condition. In order to achieve optimal control of road traffic to be optimized. The road traffic optimization method reduces the number of parking times and delays of the vehicle in the process of passing the road section to be optimized by optimizing the traffic signal of the road intersection in the road section, thereby reducing the passage of the vehicle through the road section to be optimized. Time increases the overall traffic efficiency of the road segment to be optimized, and the optimal control of road traffic for the optimized road segment is more refined and intelligent.

DRAWINGS

1 is a process flow diagram of an embodiment of a road traffic optimization method provided by the present application;

2 is a schematic view of a green wave band provided by the present application;

3 is a schematic diagram of an embodiment of a road traffic optimization device provided by the present application;

4 is a schematic diagram of an embodiment of an electronic device provided by the present application.

detailed description

Numerous specific details are set forth in the description below in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar promotion without departing from the scope of the present application, and thus the present application is not limited by the specific embodiments disclosed below.

The present application provides a road traffic optimization method, and the present application further provides a road traffic optimization device, and an electronic device. The following is a detailed description of the embodiments of the embodiments provided herein, and the various steps of the method are explained.

The road traffic optimization method provided by the present application is implemented as follows:

Referring to Figure 1, there is shown a process flow diagram of an embodiment of a road traffic optimization method provided by the present application. Referring to Figure 2, a schematic diagram of a green wave band provided by the present application is shown.

Step S101: Obtain a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the to-be-optimized road segment.

The road segment to be optimized according to the embodiment of the present application refers to a geographical area or a road in practice. The road traffic optimization method provided by the present application is through the intersection of the geographical area or the road covered by the road. Coordinated optimization of traffic signals to achieve improved optimization of the geographic area or the road traffic conditions. Here, in the embodiment, the green wave band is taken as an example to provide an implementation manner of implementing the road traffic optimization method in the green wave band, such as the green wave band shown in FIG. 2 . The green wave band refers to a geographical area or a road, and a unified traffic signal control is implemented in the geographical area or the road, and the traffic lights of all the intersections in the geographical area or the road coverage area are connected. Through the coordinated control of these traffic lights, in the process of driving the traffic in the geographical area or the road, the traffic lights are green light signals (phase is green) when passing through the road intersection, so that the traffic flow passes through the geographical unimpeded Area or all road intersections within the road.

The road traffic information refers to original information of the vehicle traveling within the green wave band, such as speed information of a vehicle currently traveling in the green wave band, position information of the vehicle, and time information corresponding to the position. Wait. In practical applications, many traveler's terminal devices transmit their geographic location information, moving speed and direction to the cloud in real time through the mobile Internet. In addition, many travellers obtain navigation information by accessing the online map platform, and the navigation information includes Geographical location information, travel routes, these geographic location information, moving speed, direction and travel routes can be used as road traffic information on the green wave band; at the same time, road traffic information is realized through the above methods due to the widespread popularity of mobile terminal devices The time period in which the green wave band can be covered in the time dimension is relatively dense, and the position of the road segment that can cover the green wave band in the spatial dimension is also more dense, thereby realizing the blind spot collection in the time dimension and the spatial dimension. The road traffic information of the green wave belt.

The road condition parameter is used to represent a parameter for measuring the traffic condition of the green wave band. The road condition parameters in the embodiment include: an average traveling speed, a standard speed difference, and a unit speed level in the green wave band. The velocity correlation coefficient between the velocity dispersion coefficient and the velocity dispersion coefficient and the average traveling speed.

In this step, the road condition information of the green wave band is obtained according to the acquired road traffic information of the green wave band, and the specific calculation process is as follows:

1) calculating an average traveling speed within the green wave band;

The average traveling speed in the green wave band is equal to the average value of the traveling speed of each sub-section divided into the road intersections in the green wave band, that is:

Where v is the average traveling speed in the green wave band, n is the number of sub-sections into which the road intersection in the green wave band is divided, and v _i is the vehicle traveling speed of the i-th sub-segment.

2) calculating a standard deviation of the speed in the green wave band;

The standard deviation of the speed in the green wave band is equal to the standard deviation calculated by the vehicle traveling speed of each sub-section divided into the road intersections in the green wave band with respect to the average traveling speed, that is:

Where std is the standard deviation of the speed within the green wave band.

3) calculating a velocity dispersion coefficient at a unit speed level in the green wave band;

The velocity dispersion coefficient at the unit speed level in the green wave band is equal to the ratio of the speed standard deviation to the average traveling speed, that is:

Where σ is the velocity dispersion coefficient at the unit velocity level in the green wave band.

4) calculating a velocity correlation coefficient between the velocity dispersion coefficient and the average traveling speed in the green wave band;

r=cor(v,σ);

Where r is the velocity correlation coefficient between the velocity dispersion coefficient and the average traveling speed in the green wave band.

Step S102: Determine, according to the road condition parameter, a traffic condition of the to-be-optimized road segment in different time periods.

The above step S101 obtains the average traveling speed, the speed standard deviation, the speed dispersion coefficient and the speed correlation coefficient in the green wave band according to the acquired road traffic information analysis of the green wave band. In this step, the calculation is obtained according to the above step S101. The average running speed, the speed standard deviation, the speed dispersion coefficient, and the speed correlation coefficient determine a traffic condition of the green wave band at different time periods, that is, the green wave band is in each time of the day Overall traffic flow. For example, from the 0 o'clock every day, the 24h of a whole day is divided into 48 equal time periods, and the traffic condition of the green wave band in each time period is determined.

In the embodiment of the present application, the traffic flow condition includes a traffic flow peak and a traffic flow peak. In addition, the traffic flow condition may also be other conditions than the traffic flow peak and the traffic flow peak provided above, for example, in order to further understand the traffic situation in the green wave band, the traffic flow condition includes a traffic flow peak, The traffic flow is flat and the traffic is low.

In this step, the traffic condition in the green wave band is determined by determining whether the average traveling speed of the green wave band in the current time period is less than a first speed threshold, and if so, the traffic flow of the green wave band in the current time zone. The condition is the peak of the traffic flow; if not, the traffic condition of the green wave band in the current time period is the peak of the traffic flow. Wherein the first speed threshold is equal to a difference between an average running speed in the green wave band and a standard speed difference in the green wave band, namely:

Where v.vth_1 is the first speed threshold.

The above implementation determines whether the traffic condition of the green wave band in the current time period is a traffic flow peak or a traffic flow flat peak according to an average traveling speed of different time periods in the green wave band. In a specific implementation, the average running speed in the green wave band and the speed dispersion coefficient may be combined to determine the current flow condition in the current time period, and the specific implementation is as follows:

Determining whether the average traveling speed of the green wave band in the current time period is less than a second speed threshold, and if so, determining whether the speed dispersion coefficient of the green wave band in the current time period is greater than or equal to the first speed discrete threshold, if greater than or equal to a first speed discrete threshold, the traffic condition of the green wave band in the current time period is a traffic flow peak; if less than the first speed discrete threshold, the traffic condition of the green wave band in the current time period is a traffic flow flat peak; if not, The traffic condition of the green wave band in the current time period is a traffic flow flat peak; wherein the second speed threshold is equal to a difference between an average travel speed in the green wave band and a speed standard deviation in the green wave band .

In practical applications, in addition to the two implementations provided above, a plurality of specific implementations may be employed to determine the traffic condition within the green wave band. Various changes in form are merely a modification of the specific implementation, and do not depart from the core of the application, and are therefore within the scope of the present application. For example, in the case where the traffic flow condition is a traffic flow peak, a traffic flow peak, and a traffic flow low peak, the traffic condition in the green wave band may be determined as follows:

Determining whether the average traveling speed of the green wave band in the current time period is less than a third speed threshold, and if so, determining whether the speed dispersion coefficient of the green wave band in the current time period is greater than or equal to a second speed discrete threshold value, if greater than or equal to a second speed discrete threshold, the traffic condition of the green wave band in the current time period is a traffic flow peak; if less than the second speed discrete threshold, the traffic condition of the green wave band in the current time period is a traffic flow flat peak;

If not, determining whether the speed dispersion coefficient of the green wave band in the current time period is greater than or equal to a third speed discrete threshold, and if greater than or equal to the third speed discrete threshold, the traffic condition of the green wave band in the current time period is The traffic flow is low; if less than the third speed discrete threshold, the traffic condition of the green wave band in the current time period is a traffic flow flat peak; wherein the third speed threshold is equal to the average travel speed and the green wave band The difference between the standard deviations of the speeds in the green band.

Based on this, in a specific implementation, the second speed discrete threshold and the third speed discrete threshold may be set to be equal in value, that is, set to the same speed discrete threshold.

In step S103, during the time period corresponding to the traffic flow condition, the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.

The step S102 determines the traffic condition of the green wave band in different time periods according to the average traveling speed, the speed standard deviation, the speed dispersion coefficient, and the speed correlation coefficient. In this step, determining according to the above step S102 The traffic condition of the green wave band in different time periods, in the time period corresponding to the traffic flow condition, the traffic signal of the road intersection in the green wave band is optimally controlled to match the traffic condition.

This embodiment provides the following two implementation manners for optimizing the traffic signal of the road intersection in the green wave band to match the traffic condition:

1) adjusting the phase of the traffic signal of the road intersection in the green wave band during the time period corresponding to the traffic flow condition, so that the phase difference of the traffic signals of the adjacent two road intersections in the same traffic direction is equal to The ratio between the distance between the two and the speed of the traffic between the two.

2) For at least one road intersection in the green wave band, perform the following operations:

Calculating an average delay time of the road intersection using a preset traffic signal timing model according to a period of time of the traffic signal of the road intersection and a valid green signal ratio in a period corresponding to the traffic condition The average delay time is a minimum period corresponding to the period duration and the effective green signal ratio, and the traffic signal of the road intersection is configured according to the obtained period duration and the effective green signal ratio.

In a specific implementation, the traffic signal timing model may adopt the following objective function:

Where g _jk =G _jk /C, ρ _jk =q _jk /S _jk ;j is the phase of the intersection of the road within the green wave band, and k is the inlet approach road of the road intersection in the direction of each traffic flow, δ _ik is the average delay time of each car on the kth import approach _path of the jth phase, q _jk is the traffic flow on the kth import approach _path of the jth phase, and S _jk is the kth import of the jth phase The saturated traffic flow on the track, C is the cycle duration of the traffic signal at the intersection in the green wave band, L is the periodic loss of the traffic signal at the intersection in the green wave band, and g _jk is the kth phase of the jth phase The effective green signal ratio on the imported approach road, G _jk is the effective green light duration on the kth import approach _path of the jth phase.

On the basis of the constraint, the objective function is that the sum of the green light times of the road intersections and the periodic loss sum is equal to the period duration, and the effective green signal ratio of the road intersections in each phase is greater than or Equal to the ratio of the minimum green time to the period duration, ie:

Where G _ej ˊ is the minimum green time, and the minimum green time is equal to the minimum value of the current actual green time of each phase of the road intersection minus 5 s. In addition, in the actual application, the minimum green time can be determined on the premise of considering the road width, the pedestrian crossing speed, and the pedestrian crossing time, and the like.

In addition to the two implementations provided above, various specific implementation manners may be adopted to implement optimal control of the traffic signals of the road intersections in the green wave band to match the traffic conditions. The various forms of the optimization of the traffic signal for the road intersection in the green wave band to match the traffic condition are only changes of the specific implementation manner, and do not deviate from the core of the application. Therefore, it is within the scope of protection of the present application. For example, you can combine the above two implementations into another implementation:

Adjusting the phase of the traffic signal of the road intersection in the green wave band during the time period corresponding to the traffic flow condition, so that the phase difference of the traffic signals of the adjacent two road intersections in the same traffic direction is equal to the two a ratio of the distance between the distance to the running speed of the vehicle; and, for at least one road intersection in the green wave band, performing an operation of: crossing the road in a period corresponding to the traffic condition Using the traffic signal timing model to calculate the average delay time of the road intersection, and obtaining the corresponding period duration and effective when the average delay time is the minimum value, the cycle time length of the traffic signal and the effective green signal ratio of the port are calculated. Green letter ratio, and the traffic signal of the road intersection is configured according to the obtained cycle duration and effective green letter ratio.

In a specific implementation, optimization control of local refinement may also be performed in the green wave band, for example, optimal control of sub-sections divided into road intersections in the green wave band: for the green wave band The at least one sub-section of the road intersection is divided into: performing, according to the vehicle traveling speed of the sub-road segment in each traffic direction, determining whether the driving speed of the sub-section in each direction of the vehicle flow is less than a preset threshold, and if so, The sub-section is determined as a congested sub-section, and the traffic signal of the adjacent intersection of the congested sub-section is optimally controlled.

In practical applications, the road traffic optimization method provided by the present application may also be implemented based on the traffic signal timing model, where the input of the traffic signal timing model is the road traffic information, and the output may be the green The phase of the traffic signal at the intersection of the waveband and its corresponding time information, the period of the traffic signal at the intersection of the green wave band and the effective green signal ratio, the congestion subsection within the green wave band and Any one or more of the corresponding congestion periods.

In addition, in practical applications, the road traffic optimization method provided by the present application may also be implemented based on a pre-established road traffic optimization platform, such as a big data analysis and calculation platform provided by Alibaba Cloud, and the big data analysis and calculation platform is provided externally. a data uploading interface for uploading the road traffic information, and a road traffic optimization service access interface for accessing the traffic signal optimization strategy of the green wave band, such as a big data analysis computing platform provided by the local traffic management department using Alibaba Cloud When optimizing the road traffic of each section in the jurisdiction, the data uploading interface may upload the past road traffic information of each road section in the jurisdiction, and obtain the road sections for the road sections through the road traffic optimization service access interface. Corresponding traffic signal optimization strategies for road traffic optimization. Meanwhile, the big data analysis and calculation platform is further provided with a data acquisition interface for acquiring the road traffic information, and a road traffic optimization interface for outputting the traffic signal optimization strategy of the green wave band. In a specific implementation, the road traffic optimization service access interface and the road traffic optimization interface may also be set as a road traffic optimization interface having a traffic signal optimization strategy for accessing and outputting the green wave band. The traffic signal optimization strategy includes a phase of a traffic signal of each road intersection in the road section to be optimized, and time information corresponding to each phase.

Based on the big data analysis and calculation platform provided by Alibaba Cloud, the traffic signal of the green wave band can be more accurately optimized in combination with big data. Specifically, the “big data” (ie, road traffic) There are two ways to obtain the data: one is to obtain navigation data of the green wave band from a third-party map service provider through the data acquisition interface, and the navigation data includes the road traffic information, for example, from high De map obtains the navigation data of a certain section of the road in a certain period of time, and uses the geographic location information, moving speed, direction and travel route data contained in these large-scale navigation data as the current road traffic optimization for the road section. According to the data uploading interface, the road traffic collecting data uploaded by the traffic data collecting device set by the green wave band is received by the data uploading interface, and the road traffic collecting data includes the road traffic information, for example, by data uploading. The interface receives video acquisition equipment, coils, microwave detection equipment and other traditional traffic data collection equipment. Road traffic data collection, the collection of these data as a road traffic for traffic data based on the optimization of road.

In addition, on the basis of the road traffic optimization based on the big data analysis and calculation platform provided by Alibaba Cloud, the traffic signal optimization strategy may be converted into an interface protocol corresponding to the traffic light set by the green wave band. And the traffic signal matching the current interface protocol, according to the traffic signal optimization strategy, configuring a traffic signal configuration interface set by the big data analysis and calculation platform to configure a traffic signal of each road intersection traffic signal light in the green wave band, Thereby achieving smarter road traffic optimization.

In summary, the road traffic optimization method provided by the present application is used to measure the road traffic information of the green wave band obtained in advance when the road traffic of the green wave band is optimally controlled. And determining a road condition parameter of the green wave belt traffic condition, and determining a traffic condition of the green wave band in different time periods according to the calculated road condition parameter, and finally, in the time period corresponding to the green wave band traffic condition, The traffic signals at the intersections in the green wave zone are optimally controlled to match the traffic conditions, thereby achieving optimal control of the green wave road traffic. The road traffic optimization method reduces the number of stops and delays of the vehicle during the passage of the green wave band by correspondingly optimizing the traffic signals of the road intersections in the green wave band, thereby reducing vehicle passing. The transit time of the green wave band improves the traffic efficiency of the green wave band as a whole, and the optimal control of the road traffic of the green wave band is more refined and intelligent.

The road traffic optimization device provided by the present application is implemented as follows:

In the above embodiments, a road traffic optimization method is provided. Correspondingly, the present application also provides a road traffic optimization device, which will be described below with reference to the accompanying drawings.

Referring to Figure 3, there is shown a schematic diagram of an embodiment of a road traffic optimization device provided by the present application.

The device embodiment corresponds to the method embodiment provided above. For the content of the embodiment, refer to the corresponding description of the foregoing method embodiment. The device embodiments described below are merely illustrative.

The application provides a road traffic optimization device, including:

The road traffic information analysis unit 301 is configured to obtain the road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the acquired road segment;

The traffic condition determining unit 302 is configured to determine, according to the road condition parameter, a traffic condition of the to-be-optimized road segment in different time periods;

The optimization control unit 303 is configured to perform optimal control on the traffic signal of the road intersection in the to-be-optimized road section to match the traffic condition in a time period corresponding to the traffic flow condition.

Optionally, if the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined by the first average travel speed determining subunit included in the traffic flow determining unit 302;

The first average traveling speed determining sub-unit is configured to determine whether the average traveling speed of the to-be-optimized road segment in the current time period is less than the first speed threshold, and if so, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow peak; If not, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak.

Optionally, if the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined by the second average travel speed determining subunit included in the traffic flow determining unit 302;

The second average traveling speed determining subunit is configured to determine whether an average running speed of the to-be-optimized road segment in the current time period is less than a second speed threshold, and if so, running a first speed discrete coefficient determining subunit; if not, the The traffic condition of the road segment to be optimized in the current time period is the peak of the traffic flow;

The first speed discretization coefficient determining subunit is configured to determine whether a speed discretization coefficient of the to-be-optimized road segment in the current time period is greater than or equal to a first speed discrete threshold, and if greater than or equal to the first speed discrete threshold, The traffic condition of the to-be-optimized road segment in the current time period is the traffic flow peak; if less than the first speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is the traffic flow peak;

Optionally, if the traffic flow condition is a traffic flow peak, a traffic flow peak, and a traffic low peak, correspondingly, the traffic condition is determined by the third average travel speed determining subunit included in the traffic state determining unit 302;

The third average traveling speed determining subunit is configured to determine whether the average traveling speed of the to-be-optimized road segment in the current time period is less than a third speed threshold, and if so, running the second speed discrete coefficient determining subunit; if not, running the first Three-speed discrete coefficient judgment subunit;

The second speed discrete coefficient determining subunit is configured to determine whether a speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to a second speed discrete threshold, and if greater than or equal to the second speed discrete threshold, The traffic condition of the to-be-optimized road segment in the current time period is the traffic flow peak; if less than the second speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is the traffic flow peak;

The third speed discrete coefficient determining subunit is configured to determine whether a speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to a third speed discrete threshold, and if greater than or equal to the third speed discrete threshold, The traffic condition of the to-be-optimized road segment in the current time period is a low traffic flow peak; if less than the third speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak;

Optionally, the optimization control unit 303 includes:

a first phase adjustment subunit, configured to adjust a phase of a traffic signal of the road intersection in the road section to be optimized within a time period corresponding to the traffic flow condition; and traffic of two adjacent road intersections in the same traffic flow direction The phase difference of the signal is determined by the ratio of the distance between the two to the speed of the vehicle traveling between the two.

Optionally, the optimization control unit 303 includes:

a first configuration subunit, configured to calculate the road intersection by using a preset traffic signal timing model according to a cycle duration of the traffic signal of the road intersection and a valid green signal ratio in a time period corresponding to the traffic flow condition The average delay time of the port is obtained, and the corresponding cycle duration and the effective green signal ratio are obtained when the average delay time is the minimum value, and the traffic signal of the road intersection is configured according to the obtained cycle duration and the effective green signal ratio;

And, the first configuration subunit is operated for at least one road intersection in the to-be-optimized road segment.

Optionally, the optimization control unit 303 includes:

a second phase adjustment subunit, configured to adjust a phase of a traffic signal of the road intersection in the to-be-optimized road section in a time period corresponding to the traffic flow condition; traffic of two adjacent road intersections in the same traffic flow direction The phase difference of the signal is determined according to the ratio between the distance between the two and the running speed of the vehicle between the two;

a second configuration subunit, configured to calculate the road intersection by using a preset traffic signal timing model according to a cycle duration of the traffic signal of the road intersection and a valid green signal ratio in a time period corresponding to the traffic flow condition The average delay time of the port is obtained, and the corresponding cycle duration and the effective green signal ratio are obtained when the average delay time is the minimum value, and the traffic signal of the road intersection is configured according to the obtained cycle duration and the effective green signal ratio;

And, the second configuration subunit is operated for at least one road intersection in the to-be-optimized road segment.

Optionally, the constraint condition of the objective function adopted by the traffic signal timing model includes at least one of the following: a sum of a green time of each phase of the road intersection and a sum of cycle losses equal to a period of time, the road intersection The effective green signal ratio at each phase is greater than or equal to the ratio of the minimum green time to the period duration;

Optionally, the road traffic optimization device includes:

a sub-section optimization control unit is configured to determine, according to the vehicle traveling speed of the sub-section in each vehicle flow direction, whether the vehicle traveling speed of the sub-section in each vehicle flow direction is less than a preset threshold, and if so, determine the sub-section as Congestion of subsections, and optimal control of traffic signals at adjacent intersections of the congested subsections;

And running the sub-segment optimization control unit for at least one sub-section divided into the road intersections in the to-be-optimized road section.

Optionally, the road traffic optimization device is implemented based on the traffic signal timing model, where the input of the traffic signal timing model is the road traffic information, and the output is the traffic at the road intersection in the road segment to be optimized. The phase of the signal and its corresponding time information, the period of the traffic signal of the road intersection in the road section to be optimized and the effective green signal ratio, and/or the congestion subsection and the corresponding congestion in the road section to be optimized Time period.

Optionally, the road traffic optimization device is operated based on a pre-established road traffic optimization platform, where the road traffic optimization platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the to-be-optimized road segment. a road traffic optimization service interface of the traffic signal optimization strategy, and/or a data upload interface for uploading the road traffic information;

Optionally, the road traffic information in the road traffic information analysis unit 301 is obtained by using at least one of the following methods:

And receiving, by the data uploading interface, road traffic collection data uploaded by the traffic data collection device set by the road segment to be optimized, where the road traffic collection data includes the road traffic information.

Optionally, the road traffic optimization platform is provided with a traffic signal configuration interface, and the road traffic optimization platform combines the interface protocol corresponding to the traffic signal set by the to-be-optimized road segment, and the to-be-optimized by the traffic signal configuration interface The traffic signals of the traffic lights at the intersections of the road sections are configured.

An electronic device implementation provided by the present application is as follows:

In the above embodiments, a road traffic optimization method is provided. In addition, the present application also provides an electronic device for implementing the road traffic optimization method, which will be described below with reference to the accompanying drawings.

Referring to FIG. 4, a schematic diagram of an electronic device provided by the embodiment is shown.

The electronic device provided by the present application is used to implement the road traffic optimization method provided by the present application. This embodiment corresponds to the road traffic optimization method embodiment provided above. For the content of the embodiment, refer to the road provided above. Corresponding description of the traffic optimization method embodiment. The embodiments described below are merely illustrative.

The application provides an electronic device, including:

a memory 401, and a processor 402;

The memory 401 is configured to store computer executable instructions, and the processor 402 is configured to execute the computer executable instructions:

Optionally, the processor 402 is further configured to execute the following computer executable instructions:

Determining, according to the vehicle traveling speed of the sub-road segment in each traffic direction, determining whether the vehicle speed of the sub-section in each traffic direction is at least one sub-section divided into the road intersections in the to-be-optimized road segment If the value is less than the preset threshold, if the sub-section is determined as a congested sub-section, the traffic signal of the adjacent intersection of the congested sub-section is optimally controlled.

Optionally, the processor 402 executes the computer executable instruction based on the traffic signal timing model, where the input of the traffic signal timing model is the road traffic information, and the output is the road within the to-be-optimized road segment. The phase of the traffic signal at the intersection and its corresponding time information, the cycle duration of the traffic signal at the intersection in the road segment to be optimized and the effective green signal ratio, and/or the congestion subsection in the road segment to be optimized and Its corresponding congestion period.

Optionally, the processor 402 executes the computer executable instructions based on a pre-established road traffic optimization platform, where the road traffic optimization platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting a road traffic optimization service interface of the traffic signal optimization strategy of the road section to be optimized, and/or a data uploading interface for uploading the road traffic information;

Optionally, the road traffic information in the road condition parameter instruction of the to-be-optimized road segment is obtained according to the obtained road traffic information analysis of the obtained road segment to be optimized, and is obtained by using at least one of the following methods:

The present application is disclosed in the above preferred embodiments, but it is not intended to limit the present application, and any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of the present application. The scope of protection should be based on the scope defined by the claims of the present application.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

Claims

A road traffic optimization method, comprising:

Obtaining a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the to-be-optimized road segment;

Determining, according to the road condition parameter, a traffic condition of the to-be-optimized road segment at different time periods;

During the time period corresponding to the traffic flow condition, the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.
The road traffic optimization method according to claim 1, wherein the road condition parameter comprises at least one of the following:

The speed correlation coefficient between the average running speed, the speed standard deviation, the speed dispersion coefficient at the unit speed level, the speed dispersion coefficient, and the average traveling speed in the road section to be optimized.
The road traffic optimization method according to claim 2, wherein the traffic flow condition comprises at least one of the following:

The peak of traffic flow, the peak of traffic flow, and the low peak of traffic flow.
The road traffic optimization method according to claim 3, wherein if the traffic flow condition is a traffic flow peak and a traffic flow flat peak, correspondingly, the traffic flow condition is determined as follows:

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than the first speed threshold value; if yes, the traffic flow condition of the to-be-optimized road segment in the current time period is the traffic flow peak; if not, the traffic flow of the to-be-optimized road segment in the current time period The situation is the peak of traffic flow.
The road traffic optimization method according to claim 4, wherein the first speed threshold is based on a difference between an average running speed in the road segment to be optimized and a standard speed difference in the road segment to be optimized. determine.
The road traffic optimization method according to claim 3, wherein if the traffic flow condition is a traffic flow peak and a traffic flow flat peak, correspondingly, the traffic flow condition is determined as follows:

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than a second speed threshold value, and if so, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to the first speed discrete threshold value, if greater than or equal to a first speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak; if less than the first speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak; if not, The traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak;

The second speed threshold is determined according to a difference between an average traveling speed in the to-be-optimized road segment and a speed standard deviation in the to-be-optimized road segment.
The road traffic optimization method according to claim 3, wherein if the traffic flow condition is a traffic flow peak, a traffic flow flat peak, and a traffic flow low peak, correspondingly, the traffic flow condition is determined as follows:

Determining whether the average traveling speed of the to-be-optimized road segment in the current time period is less than a third speed threshold value, and if so, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to a second speed discrete threshold value, if greater than or equal to The second speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow peak; if less than the second speed discrete threshold, the traffic flow condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak;

If not, determining whether the speed dispersion coefficient of the to-be-optimized road segment in the current time period is greater than or equal to the third speed discrete threshold value, and if greater than or equal to the third speed discrete threshold value, the traffic flow condition of the to-be-optimized road segment in the current time period is If the traffic flow is lower than the third speed discrete threshold, the traffic condition of the to-be-optimized road segment in the current time period is a traffic flow flat peak;

The third speed threshold is determined according to a difference between an average traveling speed in the to-be-optimized road segment and a speed standard deviation in the to-be-optimized road segment.
The road traffic optimization method according to claim 7, wherein the second speed discrete threshold and the third speed discrete threshold are numerically equal.
The road traffic optimization method according to claim 3, wherein the traffic signal of the road intersection in the road section to be optimized is matched with the traffic condition in a time period corresponding to the traffic flow condition Optimize control by:

Adjusting the phase of the traffic signal of the road intersection in the road section to be optimized within the time period corresponding to the traffic flow condition; the phase difference of the traffic signals of the adjacent two road intersections in the same traffic flow direction, according to the two The ratio between the distance between the two and the speed of the vehicle traveling between the two is determined.
The road traffic optimization method according to claim 3, wherein the traffic signal of the road intersection in the road section to be optimized is matched with the traffic condition in a time period corresponding to the traffic flow condition Optimize control by:

For at least one road intersection in the to-be-optimized road segment, perform the following operations:

Calculating an average delay time of the road intersection using a preset traffic signal timing model according to a period of time of the traffic signal of the road intersection and a valid green signal ratio in a period corresponding to the traffic condition The average delay time is a minimum period corresponding to the period duration and the effective green signal ratio, and the traffic signal of the road intersection is configured according to the obtained period duration and the effective green signal ratio.
The road traffic optimization method according to claim 3, wherein the traffic signal of the road intersection in the road section to be optimized is matched with the traffic condition in a time period corresponding to the traffic flow condition Optimize control by:

Adjusting the phase of the traffic signal of the road intersection in the road section to be optimized within the time period corresponding to the traffic flow condition; the phase difference of the traffic signals of the adjacent two road intersections in the same traffic flow direction, according to the two The ratio between the distance between the two and the speed of the traffic between the two is determined;

And performing the following operations on the at least one road intersection in the to-be-optimized road segment:

Calculating an average delay time of the road intersection using a preset traffic signal timing model according to a period of time of the traffic signal of the road intersection and a valid green signal ratio in a period corresponding to the traffic condition The average delay time is a minimum period corresponding to the period duration and the effective green signal ratio, and the traffic signal of the road intersection is configured according to the obtained period duration and the effective green signal ratio.
The road traffic optimization method according to claim 10, wherein the constraint condition of the objective function adopted by the traffic signal timing model comprises at least one of the following:

The sum of the green light times of the road intersections and the periodic loss sum is equal to the period length, and the effective green signal ratio of the road intersections in each phase is greater than or equal to the ratio of the minimum green light time to the period duration;

The minimum green time is determined according to the current actual green time of each phase of the road intersection.
The road traffic optimization method according to claim 3, comprising:

Performing the following operations on at least one sub-road segment into which the road intersection in the road segment to be optimized is divided:

Determining, according to the vehicle traveling speed of the sub-sections in each traffic direction, whether the vehicle speed of the sub-section in each traffic direction is less than a preset threshold, and if so, determining the sub-section as a congestion sub-section, and Traffic signals at adjacent road intersections of congested sections are optimally controlled.
The road traffic optimization method according to claim 2, wherein the average traveling speed in the to-be-optimized road segment is determined according to an average value of the vehicle traveling speeds of the sub-sections divided into the road intersections in the to-be-optimized road segment. .
The road traffic optimization method according to claim 14, wherein the speed standard deviation is calculated according to the vehicle traveling speed of each sub-section divided into the road intersections in the road section to be optimized, and the average traveling speed is obtained. The standard deviation is determined.
The road traffic optimization method according to claim 15, wherein the speed dispersion coefficient at the unit speed level is determined according to a ratio of the speed standard deviation to the average traveling speed.
The road traffic optimization method according to claim 3, wherein the road traffic optimization method is implemented based on the traffic signal timing model, and the input of the traffic signal timing model is the road traffic information, and the output a phase of the traffic signal of the road intersection in the road section to be optimized and corresponding time information, a cycle duration of the traffic signal at the road intersection in the road section to be optimized, and a valid green signal ratio, and/or Optimize the congestion subsections in the road segment and their corresponding congestion periods.
The road traffic optimization method according to any one of claims 1 to 17, wherein the road traffic optimization method is implemented based on a pre-established road traffic optimization platform, and the road traffic optimization platform is provided with the road traffic optimization platform a data acquisition interface of the traffic information, a road traffic optimization service interface for accessing and outputting the traffic signal optimization strategy of the road segment to be optimized, and/or a data uploading interface for uploading the road traffic information;

The traffic signal optimization strategy includes a phase of a traffic signal of each road intersection in the road section to be optimized, and time information corresponding to each phase.
The road traffic optimization method according to claim 18, wherein the road traffic information in the road condition parameter step of the to-be-optimized road segment is obtained according to the acquired road traffic information analysis of the acquired road segment, and at least one of the following is adopted. Ways to get:

Obtaining navigation data of the to-be-optimized road segment from a third-party map service provider by using the data acquisition interface, where the navigation data includes the road traffic information;

And receiving, by the data uploading interface, road traffic collecting data uploaded by the traffic data collecting device set by the road segment to be optimized, where the road traffic collecting data includes the road traffic information.
The road traffic optimization method according to claim 19, wherein the road traffic optimization platform is provided with a traffic signal configuration interface, and the road traffic optimization platform is combined with an interface protocol corresponding to the traffic signal set by the to-be-optimized road segment, And configuring, by the traffic signal configuration interface, a traffic signal of each road intersection traffic signal in the to-be-optimized road section.
A road traffic optimization device, comprising:

a road traffic information analysis unit, configured to obtain a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the acquired road segment;

a traffic condition determining unit, configured to determine, according to the road condition parameter, a traffic condition of the to-be-optimized road segment at different time periods;

And an optimization control unit, configured to perform optimal control on the traffic signal of the road intersection in the to-be-optimized road section to match the traffic condition in a time period corresponding to the traffic flow condition.
An electronic device, comprising:

Memory, and processor;

The memory is for storing computer executable instructions for executing the computer executable instructions:

Obtaining a road condition parameter of the to-be-optimized road segment according to the acquired road traffic information analysis of the to-be-optimized road segment;

Determining, according to the road condition parameter, a traffic condition of the to-be-optimized road segment at different time periods;

During the time period corresponding to the traffic flow condition, the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.