TW201832190A - Road traffic optimization method and device and electronic apparatus - Google Patents

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 equipment

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

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 continued to flood into the limited urban traffic network, which has brought tremendous pressure to the urban traffic network. In particular, it brings many problems to road intersections in the urban traffic network. Road intersections, as the intersection of two or more roads, are the places where vehicles and pedestrians must meet, turn and evacuate, and are the throat of the urban traffic road network. If the traffic signal control at road intersections is unreasonable, it is very It may cause passing vehicles to frequently encounter red lights, resulting in time delays and wasted fuel. At the same time, it will increase air and noise pollution. It may even make drivers feel upset and cause traffic accidents. Therefore, road traffic at road intersections Control is especially important. At present, according to the control of road intersection traffic signals in the urban traffic road network, based on the actual situation of road intersections, software traffic modeling or manual statistics are used to calculate the traffic flow information of road intersections in a certain period of time in the past. Coordinate and optimize the traffic signals at road intersections. For example, when investigating and obtaining the refined speed of a road section in various time periods, it is common to follow the car multiple times on the road section to collect the travel speed, travel time and number of stops. However, due to the time-consuming and labor-intensive investigation methods, the same speed is often used to coordinate and optimize the traffic signals throughout the day. At the same time, due to the number of samples, the collected sample data has a certain degree of randomness and credibility. The degree is relatively low, so the coordination and optimization of road crossing signals has certain limitations.

The invention provides a road traffic optimization method to solve the limitation of the existing technology. The invention further provides a road traffic optimization device and an electronic device. The invention provides a road traffic optimization method, which includes: 获得 analyzing the road condition parameters of the road section to be optimized based on the obtained road traffic information analysis of the road section to be optimized; 确定 determining the traffic flow conditions of the road section to be optimized at different times according to the road condition parameter; During the period corresponding to the traffic flow condition, the traffic signal at the road intersection in the road section to be optimized is optimized and matched with the traffic flow condition. Optionally, the road condition parameter includes at least one of the following: average speed, speed standard deviation, speed dispersion coefficient per unit speed level, speed dispersion coefficient, and average speed in the road section to be optimized. Correlation coefficient. Optionally, the traffic flow condition includes at least one of the following: peak traffic flow, peak traffic flow, and low traffic flow. Optionally, if the traffic flow conditions are peak traffic flow and peak traffic flow, correspondingly, the traffic flow conditions are determined as follows: judging whether the average speed of the road section to be optimized in the current period is less than the first speed threshold, If yes, the current traffic condition of the road section to be optimized in the current period is the peak traffic flow; if not, the current traffic condition of the road section to be optimized in the current period is the peak traffic level. Optionally, the first speed threshold value is determined according to a difference between an average traveling speed in the road section to be optimized and a speed standard deviation in the road section to be optimized. Optionally, if the traffic condition is a peak traffic flow and a peak traffic flow, correspondingly, the traffic flow condition is determined as follows: judging whether the average speed of the road section to be optimized in the current period is less than a second speed threshold, If yes, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the first speed dispersion threshold, and if it is greater than or equal to the first speed dispersion threshold, the speed of the road section to be optimized in the current period is The traffic condition is the peak of traffic flow; if it is less than the first speed discrete threshold, the traffic condition of the road section to be optimized in the current period is the traffic peak level; if not, the traffic status of the road section to be optimized in the current period is the traffic peak level Wherein, the second speed threshold is determined according to a difference between an average travel speed in the road section to be optimized and a standard deviation of speed in the road section to be optimized. Optionally, if the traffic flow conditions are peak traffic flow, peak traffic flow, and low traffic flow, the traffic flow conditions are determined as follows: Determine whether the average speed of the road section to be optimized in the current period is less than the third speed Threshold, if yes, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the second speed discrete threshold value, and if it is greater than or equal to the second speed dispersion threshold, the road section to be optimized The traffic condition in the current period is the peak traffic flow; if it is less than the second speed discrete threshold, the traffic condition of the road segment to be optimized in the current period is the traffic peak level; If not, determine whether the road segment to be optimized is in the current period Whether the speed dispersion coefficient is greater than or equal to the third speed dispersion threshold, and if it is greater than or equal to the third speed dispersion threshold, the current traffic condition of the road section to be optimized in the current period is a low traffic flow; if it is less than the first Three-speed discrete threshold, the traffic condition of the road section to be optimized in the current period is the peak level of traffic flow; , The third speed threshold value, determining the difference between the two sections within the standard deviation of the speed to be optimized according to the average speed in the road section to be optimized. Optionally, the second speed discrete threshold and the third speed discrete threshold are numerically equal. Optionally, in the period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented as follows: In the traffic flow During the period corresponding to the situation, the phase of the traffic signal at the road intersection in the road section to be optimized is adjusted; the phase difference of the traffic signal at two adjacent road intersections in the same traffic flow direction is based on the distance between the two The ratio of the traffic speed between the two is determined. Optionally, during the period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented in the following manner: Optimize at least one road intersection in a road section, and perform the following operations: within the period corresponding to the traffic flow condition, according to the cycle length of the traffic signal at the road intersection and the effective green signal ratio, use the preset traffic signal to time The model calculates the average delay time of the road intersection, obtains the corresponding cycle time and the effective green signal ratio when the average delay time is the minimum value, and configures the road intersection according to the obtained cycle time and the effective green signal ratio. Oral communication number. Optionally, in the period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented as follows: In the traffic flow During the period corresponding to the situation, the phase of the traffic signal at the road intersection in the road section to be optimized is adjusted; the phase difference of the traffic signal at two adjacent road intersections in the same traffic flow direction is based on the distance between the two The ratio of the speed of the traffic flow between the two is determined; and, for at least one road intersection in the road section to be optimized, the following operations are performed: in the period corresponding to the traffic flow condition, according to the traffic signal of the road intersection Cycle duration and effective green signal ratio, calculate the average delay time of the road intersection using a preset traffic signal timing model, and obtain the cycle duration and effective green signal ratio corresponding to the minimum average delay time , And the traffic signal of the road intersection is configured according to the obtained cycle duration and the effective green letter ratio. Optionally, the constraint conditions of the objective function used in the traffic signal timing model include at least one of the following: 求 The sum of the green light time of each phase of the road intersection and the sum of the cycle loss is equal to the cycle duration, and the road crosses The effective green signal ratio of the phase at each phase is greater than or equal to the ratio of the minimum green light time to the period duration; wherein the minimum green light time is determined according to the current actual green light time of each phase of the road intersection. Optionally, the road traffic optimization method includes: for at least one sub-road section divided by a road intersection in the road section to be optimized, perform the following operations: 判断 judge according to the vehicle speed of the sub-road section in each direction of traffic flow Whether the vehicle speed of the sub-sections in each direction of traffic flow is less than a preset threshold; if so, determine the sub-section as a congested sub-section, and optimize the traffic signal of the adjacent road intersection of the congested sub-section control. Optionally, the average driving speed in the road section to be optimized is determined according to the average value of the vehicle driving speed of each sub-road section divided by the road intersection in the road section to be optimized. Optionally, the speed standard deviation is determined according to a standard deviation obtained by calculating a vehicle speed of each sub-section divided into a road intersection in the road section to be optimized with respect to the average driving 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 based on the traffic signal timing model. 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 section to be optimized. The phase of the signal and its corresponding time information, the cycle length of the traffic signal at the road intersection in the road section to be optimized and the effective green signal ratio, and / or, the congestion road section in the road section to be optimized and its corresponding Congestion period. Optionally, 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 a data acquisition interface for obtaining the road traffic information for accessing and outputting the road section to be optimized A road traffic optimization service interface for a traffic signal optimization strategy, and / or a data upload interface for uploading the road traffic information; wherein the traffic signal optimization strategy includes information on road intersections in the road section to be optimized The phase of the traffic signal and the time information corresponding to each phase. Optionally, the road traffic information in the step of obtaining the road condition parameter of the road section to be optimized according to the obtained road traffic information analysis of the road section to be optimized is obtained in at least one of the following ways: 从 from a third-party vendor through the data acquisition interface The map service provider obtains the navigation data of the road section to be optimized, and the navigation data includes the road traffic information; 接收 receiving the road traffic collection data uploaded by the traffic data acquisition device provided on the road section to be optimized through the data upload interface, 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 light set on the road section to be optimized, and faces the waiting traffic through the traffic signal configuration interface. The present invention also provides a road traffic optimization device, including: a road traffic information analysis unit, configured to obtain the waiting information according to the obtained road traffic information analysis of the road section to be optimized; Optimize the road condition parameters of the road segment; a traffic condition determination unit for determining the traffic condition of the road section to be optimized in different time periods according to the traffic condition parameters; an optimization control unit for the time period corresponding to the traffic condition The traffic signal of the road intersection in the road section to be optimized is subjected to optimization control matching the traffic flow conditions. The invention also provides an electronic device, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions: according to the obtained road section to be optimized The traffic information analysis obtains the road condition parameters of the road section to be optimized; 确定 determines the traffic conditions of the road section to be optimized at different times according to the road condition parameters; crosses the roads of the road section to be optimized during the time corresponding to the traffic conditions. The traffic signal of the port is optimized for matching with the traffic conditions. The road traffic optimization method provided by the present invention includes: obtaining the road condition parameters of the road section to be optimized according to the obtained road traffic information analysis of the road section to be optimized; and determining the traffic flow of the road section to be optimized at different periods according to the road condition parameter. Condition; within a time period corresponding to the traffic flow condition, an optimization control matching the traffic flow condition is performed on a traffic signal of a road intersection in the road section to be optimized. According to the road traffic optimization method provided by the present invention, when the road traffic to be optimized is optimized and controlled, the road condition parameters used to measure and determine the traffic conditions on the road to be optimized are obtained according to the road traffic information analysis obtained in advance for the road to be optimized. , And determine the traffic conditions of the road section to be optimized in different time periods based on the obtained traffic condition parameters. Finally, in the time period corresponding to the traffic conditions of the road section to be optimized, the optimization control of matching the traffic flow conditions is performed by the traffic signal of the road intersection in the road section to be optimized , So as to achieve optimal control of road traffic to be optimized. The road traffic optimization method performs corresponding optimization control through the traffic signals of road intersections in the road section to be optimized, thereby reducing the number of parking times and delays of vehicles during passing through the road section to be optimized, thereby reducing the traffic of vehicles passing through the road section to be optimized. Time has improved the overall traffic efficiency of the road sections to be optimized, and the optimization control of road traffic for the road sections to be optimized is more refined and intelligent.

Numerous specific details are set forth in the following description in order to fully understand the present invention. However, the present invention 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 content of the present invention, so the present invention is not limited by the specific implementations disclosed below. The invention provides a road traffic optimization method, the invention additionally provides a road traffic optimization device, and an electronic device. In the following, detailed descriptions are made one by one in combination with the drawings of the embodiments provided by the present invention, and each step of the method is described. An embodiment of the road traffic optimization method provided by the present invention is as follows: Referring to FIG. 1, which shows a processing flowchart of an embodiment of the road traffic optimization method provided by the present invention, and with reference to FIG. 2, which shows a flowchart provided by the present invention, A schematic diagram of a green wave band. In step S101, a road condition parameter of the road section to be optimized is obtained by analyzing the obtained road traffic information of the road section to be optimized. The road section to be optimized according to the embodiment of the present invention refers to a geographical area or a road in practice. The method for optimizing road traffic provided by the present invention is precisely to the road intersection covered by the geographical area or the road. The coordination and optimization of traffic signals realizes the improvement and optimization of the geographic area or the road traffic conditions. Here, this embodiment takes the green wave band as an example, and provides an implementation manner of implementing the road traffic optimization method in the green wave band, as shown in the green wave band shown in FIG. 2. The green wave band refers to a geographical area or a road, and unified traffic signal control is implemented in the geographical area or the road, and the traffic signal lights at all road intersections in the geographical area or the road coverage area are connected. Through the coordinated control of these traffic lights, the traffic lights are green signals (phase is green) when passing the road intersection when the traffic flow is in the geographic area or the road, making the vehicle flow smoothly. Through the geographic area or all road intersections within the road. The road traffic information refers to the original information of vehicles traveling in the green wave zone, such as the current speed information of a vehicle in the green wave zone, the location information of the vehicle, and the corresponding time information when it is in the location. Wait. In practical applications, many travellers ’terminal devices transmit their geographic location information, speed, and direction to the cloud in real time through the mobile Internet. In addition, many travellers obtain navigation information by accessing online map platforms. Navigation information includes Geographic 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 zone; meanwhile, due to the widespread popularity of mobile terminal equipment, road traffic information is achieved through the above methods In the time dimension, the time period that can cover the green wave band is more dense, and the position that can cover the middle section of the green wave band in the space dimension is also more dense, so as to achieve a blind spot-free collection station in the time dimension and the space dimension. This section describes road traffic information in the green wave zone. The road condition parameter refers to a parameter used to characterize the traffic condition of the green wave zone. The road condition parameters in this embodiment include: average driving speed, standard deviation of speed, and unit speed level in the green wave zone. Speed dispersion coefficient and speed correlation coefficient of both speed dispersion coefficient and average driving speed. In this step, the road condition parameters of the green wave zone are obtained according to the obtained road traffic information analysis of the green wave zone, and the specific calculation process is as follows: 1) Calculate the average driving speed in the green wave zone; the green wave The average driving speed in the belt is equal to the average value of the vehicle driving speed of each sub-road section divided by the road intersection in the green wave belt, that is: Where v is the average travel speed in the green wave band, and n is the number of sub-road sections divided by the road intersection in the green wave band, Is the vehicle speed of the i-th subsection. 2) Calculate the 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 vehicle speed of each sub-section divided by the road intersection in the green wave band relative to the average driving The standard deviation obtained from the speed calculation, namely: Where std is the standard deviation of the speed in the green wave band. 3) Calculate the speed dispersion coefficient at the unit speed level in the green wave band; The speed 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: ; Wherein σ is a velocity dispersion coefficient at a unit velocity level in the green wave band. 4) Calculate a speed correlation coefficient between the speed dispersion coefficient and the average travel speed in the green wave band; r = cor (v, σ); where r is the speed dispersion coefficient and the average travel speed in the green wave band. Speed correlation coefficient. Step S102: Determine the traffic conditions of the road section to be optimized in different periods according to the road condition parameters. In the above step S101, the average travel speed, the speed standard deviation, the speed dispersion coefficient, and the speed correlation coefficient in the green wave band are obtained according to the obtained road traffic information analysis of the green wave band. In this step, calculated and obtained according to the above step S101 The average traveling speed, the speed standard deviation, the speed dispersion coefficient, and the speed correlation coefficient to determine the traffic conditions of the green wave band at different times, that is, the green wave bands at various times of the day The overall traffic situation. For example, starting at 0 o'clock every day, 24h of a whole day is divided into 48 equal periods, and the traffic condition of the green wave band in each period is determined. In the embodiment of the present invention, the traffic flow condition includes a peak traffic flow and a peak traffic flow. In addition, the traffic flow condition may be other than the above-mentioned traffic flow peaks and traffic flow peaks. For example, to better understand the traffic conditions in the green wave band, the traffic flow conditions include traffic flow peaks, Peak traffic levels and low traffic peaks. In this step, the traffic conditions in the green wave band are determined in the following manner: determine whether the average driving speed of the green wave band in the current period is less than a first speed threshold, and if so, the green wave band is in the current period The current traffic condition is the peak traffic flow; if not, the current traffic condition of the green wave zone is the peak traffic flow. Wherein, the first speed threshold is equal to a difference between an average running speed in the green wave band and a speed standard deviation in the green wave band, that is: Where v.vth_1 is the first speed threshold. The above implementation manner determines whether the current traffic condition of the green wave zone in the current time zone is a peak traffic flow or a peak traffic flow according to the average driving speed in different periods in the green wave belt. In specific implementation, the average driving speed in the green wave band and the speed dispersion coefficient can be used to determine the current traffic condition of the current period, and the specific implementation is as follows: determine the average driving speed of the green wave band in the current period Whether it is less than the second speed threshold, and if so, determining whether the speed dispersion coefficient of the green wave band in the current period is greater than or equal to the first speed dispersion threshold, and if it is greater than or equal to the first speed dispersion threshold, The traffic condition of the green wave band in the current period is the peak traffic flow; if it is less than the first speed discrete threshold, the traffic condition of the green wave band in the current period is the traffic peak level; if not, the green wave band The current traffic condition is a peak level of traffic flow; wherein the second speed threshold is equal to the difference between the average speed in the green wave band and the standard deviation of the speed in the green wave band. In actual applications, in addition to the two implementations provided above, multiple specific implementations can also be used to determine the traffic flow conditions in the green wave band. Changes in various forms are only changes in specific implementation manners, and they do not deviate from the core of the present invention, and therefore are all within the protection scope of the present invention. For example, when the traffic flow conditions are peak traffic flow, peak traffic flow, and low traffic flow, the traffic flow conditions in the green wave band may be determined as follows: determine whether the average driving speed of the green wave band in the current period is Less than the third speed threshold, if yes, determine whether the speed dispersion coefficient of the green wave band in the current period is greater than or equal to the second speed dispersion threshold; if it is greater than or equal to the second speed dispersion threshold, The traffic condition of the green wave band in the current period is the peak traffic flow; if it is less than the second speed discrete threshold, the traffic condition of the green wave band in the current period is the traffic peak level; if not, the green wave band is judged Whether the speed dispersion coefficient in the current period is greater than or equal to the third speed dispersion threshold, and if it is greater than or equal to the third speed dispersion threshold, the traffic condition of the green wave band in the current period is a low traffic peak; Less than the third speed discrete threshold, the traffic condition of the green wave band in the current period is a peak level of traffic flow; wherein the third speed threshold is equal to the green Average speed difference between the belt both in the green wave velocity standard deviation. Based on this, in specific implementation, the second speed discrete threshold value and the third speed discrete threshold value may be set to be equal in value, that is, set to the same speed discrete threshold value. In step S103, in a period corresponding to the traffic flow condition, an optimization control matching the traffic flow condition is performed on a traffic signal of a road intersection in the road section to be optimized. The above step S102 determines the traffic conditions of the green wave band in different periods according to the average driving speed, the speed standard deviation, the speed dispersion coefficient, and the speed correlation coefficient. In this step, it is determined according to the above step S102 The condition of the traffic flow of the green wave band in different periods, and during the period corresponding to the traffic flow condition, the traffic signals at the road intersections in the green wave band are optimized and controlled to match the traffic flow condition. This embodiment provides the following two implementation manners of optimizing control of traffic signals at road intersections in the green wave band to match the traffic conditions: 1) within the period corresponding to the traffic conditions, The phase of the traffic signal at the road intersection in the green wave zone is adjusted so that the phase difference of the traffic signal at two adjacent road intersections in the same traffic direction is equal to the distance between them and the traffic flow between them. The ratio of speed. 2) For at least one road intersection in the green wave band, perform the following operations: During the period corresponding to the traffic flow condition, according to the cycle length of the traffic signal at the road intersection and the effective green signal ratio, use the advance The set traffic signal timing model calculates the average delay time of the road intersection, and obtains the cycle time and the effective green letter ratio when the average delay time is the minimum value, and according to the obtained cycle time and the effective green letter Than the traffic signal of the road intersection. In specific implementation, the following signal function timing model can use the following objective function: among them, , ; J is the phase of the road intersection in the green wave band, and k is the entrance approach of the road intersection in each traffic flow direction, Is the average delay time of each vehicle on the k-th entrance approach of the j-th phase, Is the traffic flow on the k-th entrance approach of the j-th phase, Is the saturated traffic flow on the k-th approach road in the j-th phase, C is the cycle duration of the road intersection signal in the green wave band, and L is the cycle loss of the road intersection signal in the green wave band , Is the effective green signal ratio on the k-th inlet approach of the j-th phase, Is the effective green light duration on the k-th entrance approach of the j-th phase. On this basis, the constraint condition of the objective function is: the sum of the green light time and the cycle loss sum of the phases at the road intersection is equal to the cycle duration, and the effective green signal ratio of the road intersections at each phase is Or it is equal to the ratio of the minimum green light time to the cycle time, that is: among them, Is the minimum green light time, which is equal to the minimum value of the current actual green light time at each phase of the road intersection minus 5 s. In addition, in practical applications, the minimum green time can also be determined on the premise of considering road width, pedestrian crossing speed, and pedestrian crossing time, and the like is not limited. In addition to the two implementations provided above, multiple specific implementations can also be used to achieve optimized control of traffic signals at road intersections in the green wave band to match the traffic conditions. Various forms of changes that implement the optimized control of the traffic signals at the road intersections in the green wave zone to match the traffic conditions are only changes in the specific implementation and do not deviate from the core of the present invention. All are within the protection scope of the present invention. For example, the above two implementation manners can also be combined with another implementation manner: during the period corresponding to the traffic flow condition, adjusting the phase of the traffic signal at the road intersection in the green wave band to make the phase of the same traffic flow direction The phase difference of the traffic signals adjacent to two road intersections is equal to the ratio between the distance between them and the speed of the traffic flow between them; and, for at least one road intersection in the green wave band, perform the following operations : Calculate the average delay time of the road intersection according to the cycle time of the traffic signal at the road intersection and the effective green signal ratio within the period corresponding to the traffic condition, and obtain When the average delay time is the minimum, the corresponding cycle duration and effective green signal ratio, and the traffic signal of the road intersection is configured according to the obtained cycle duration and effective green signal ratio. In specific implementation, fine-grained optimization control can also be performed in the green wave band, such as optimizing control of sub-segments divided by road intersections in the green wave band: for the green wave band At least one sub-segment divided by a road intersection, performing the following operation: judging whether the vehicle speed of the sub-segment in each traffic direction is less than a preset threshold based on the vehicle speed of the sub-segment in each traffic direction, If yes, the sub-road section is determined as a congested sub-road section, and the traffic signals at adjacent road intersections of the congested sub-road section are optimally controlled. In practical applications, the road traffic optimization method provided by the present invention can also be implemented based on the traffic signal timing model. The input of the traffic signal timing model is the road traffic information, and the output can be the green The phase of the traffic signal at the road intersection in the wave band and its corresponding time information, the cycle length of the traffic signal at the road intersection in the green wave band, and the effective green signal ratio, and the congestion road section in the green wave band And any one or more of the three corresponding congestion periods. In addition, in practical applications, the road traffic optimization method provided by the present invention can also be implemented based on a pre-established road traffic optimization platform, such as based on the big data analysis and calculation platform provided by Alibaba Cloud, which is provided externally. The data upload interface for uploading the road traffic information and the road traffic optimization service access interface for accessing the traffic signal optimization strategy of the green wave zone, such as the local traffic management department using the big data analysis and calculation platform provided by Alibaba Cloud When optimizing the road traffic of each road section in its jurisdiction, the past road traffic information of each road section in its jurisdiction can be uploaded through the data upload interface, and the road traffic optimization service access interface can be used to obtain information about each road section in its jurisdiction. Corresponding traffic signal optimization strategy for road traffic optimization. At the same time, the big data analysis and calculation platform is also 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 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 with a traffic signal optimization strategy for accessing and outputting the green wave band. The traffic signal optimization strategy includes phases of traffic signals at each road intersection in the road section to be optimized, and time information corresponding to the phases. Based on the big data analysis and calculation platform provided by Alibaba Cloud, the traffic signals of the green wave band can be more accurately optimized in combination with big data. Specifically, the "big data" (that is, road traffic There are two ways to obtain the data: First, through the data acquisition interface, obtain the navigation data of the green wave band from a third-party map service provider. The navigation data contains the road traffic information. De Map obtains the navigation data of a certain road segment in a specific period of time in the past, and uses the geographic location information, moving speed, direction, and travel routes included in these large quantities of navigation data as the current road traffic optimization for this road segment. The second is to receive the road traffic collection data uploaded by the traffic data acquisition equipment set by the green wave band through the data upload interface, and the road traffic collection data includes the road traffic information, for example, through data upload Interface to receive traditional traffic data acquisition equipment such as video acquisition equipment, coils, microwave detection equipment Set to collect information on road traffic, these road traffic data collected as road traffic information based optimization. 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 of the traffic signal light set in the green wave band can also be combined to transform the traffic signal optimization strategy. In order to match the current interface agreement with the data flow, according to the traffic signal optimization strategy, the traffic signal configuration interface set by the big data analysis and calculation platform is faced with the traffic signal of traffic signal lights at each road intersection in the green wave band. Configuration to achieve smarter road traffic optimization. In summary, in the road traffic optimization method provided by the present invention, when the road traffic in the green wave zone is optimally controlled, the road traffic information analysis in the green wave zone obtained in advance is used to measure the road traffic information. And determine the road condition parameters of the traffic conditions of the green wave zone, and determine the traffic conditions of the green wave zone in different time periods based on the calculated road condition parameters, and finally, in the period corresponding to the traffic conditions of the green wave zone, The traffic signals at road intersections in the green wave zone are optimized for matching the traffic flow conditions, so as to realize the optimal control of the road traffic in the green wave zone. The road traffic optimization method reduces the number of stops and delays of vehicles while passing through the green wave zone by optimizing and controlling the traffic signals at road intersections within the green wave zone, thereby reducing vehicle passing The passage time of the green wave zone improves the overall traffic efficiency of the green wave zone, and the optimized control of road traffic in the green wave zone is more refined and intelligent. An embodiment of a road traffic optimization device provided by the present invention is as follows: In the above-mentioned embodiment, a road traffic optimization method is provided. Correspondingly, the present invention also provides a road traffic optimization device, which is described below in conjunction with the accompanying drawings. Instructions. Referring to FIG. 3, a schematic diagram of an embodiment of a road traffic optimization device provided by the present invention is shown. Since the device embodiment corresponds to the method embodiment provided above, when reading the content of this embodiment, please refer to the corresponding description of the method embodiment. The device embodiments described below are only schematic. The present invention provides a road traffic optimization device, including: a road traffic information analysis unit 301, configured to obtain road condition parameters of the road section to be optimized according to the obtained road traffic information analysis of the road section to be optimized; a traffic flow determination unit 302, configured to The road condition parameter determines the traffic flow conditions of the road section to be optimized in different periods; an optimization control unit 303 is configured to perform, at a time corresponding to the traffic flow conditions, the traffic signals of road intersections in the road section to be optimized. The optimized control matching the traffic conditions is described. Optionally, the road condition parameter includes at least one of the following: average speed, speed standard deviation, speed dispersion coefficient per unit speed level, speed dispersion coefficient, and average speed in the road section to be optimized. Correlation coefficient. Optionally, the traffic flow condition includes at least one of the following: a peak traffic flow, a flat traffic flow peak, and a low traffic flow peak. Optionally, if the traffic condition is a peak traffic flow and a peak traffic flow, correspondingly, the traffic flow condition is determined by a first average driving speed judging sub-unit included in the traffic flow determination unit 302; the first average driving speed A judging subunit for judging whether the average driving speed of the road section to be optimized in the current period is less than a first speed threshold; if so, the traffic condition of the road section to be optimized in the current period is a peak traffic time; if not, the The current traffic condition of the road section to be optimized is the peak level of traffic flow. Optionally, the first speed threshold is determined according to a difference between an average travel speed in the road section to be optimized and a standard deviation of speed in the road section to be optimized. Optionally, if the traffic condition is a peak traffic flow and a peak traffic flow, correspondingly, the traffic flow condition is determined by a second average travel speed judging sub-unit included in the traffic flow determination unit 302; the second average travel speed A judging sub-unit for judging whether the average traveling speed of the road section to be optimized in the current period is less than a second speed threshold, and if so, running the first speed discrete coefficient judging sub-unit; if not, the road section to be optimized is currently The state of traffic flow during the period is the peak level of traffic flow; the first speed dispersion coefficient judging subunit is configured to determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to a first speed dispersion threshold, and if it is greater than or equal to The first speed discrete threshold value, the current traffic condition of the road section to be optimized in the current period is the peak traffic flow; if it is less than the first speed discrete threshold value, the traffic flow status of the road section to be optimized in the current period is the vehicle flow Peak level; wherein the second speed threshold is based on the average travel speed in the road section to be optimized and the Optimization of the difference between the two standard deviation determined link speed. Optionally, if the traffic flow condition is a peak traffic flow level, a peak traffic flow level, and a low traffic flow peak, correspondingly, the traffic flow condition is determined by a third average driving speed judging sub-unit included in the traffic flow determination unit 302; Three average driving speed judging sub-units, used to determine whether the average driving speed of the road section to be optimized in the current period is less than a third speed threshold; if yes, run the second speed discrete coefficient judging sub-unit; if not, run the third Speed discrete coefficient judging subunit; the second speed discrete coefficient judging subunit is configured to determine whether the speed discrete coefficient of the road section to be optimized in the current period is greater than or equal to a second speed discrete threshold, and if it is greater than or equal to The second speed discrete threshold value, the current traffic condition of the road section to be optimized in the current period is the peak traffic flow; if it is less than the second speed discrete threshold value, the traffic flow status of the road section to be optimized in the current period is the traffic peak level The third speed dispersion coefficient judging sub-unit, configured to determine the speed of the road section to be optimized in the current period; Whether the divergence coefficient is greater than or equal to the third speed discrete threshold, and if it is greater than or equal to the third speed discrete threshold, the current traffic condition of the road section to be optimized in the current period is a low peak; Threshold of speed discreteness, the current traffic condition of the road section to be optimized in the current period is the peak level of traffic flow; wherein the third speed threshold is based on the average speed of the road section to be optimized and the speed of the road section to be optimized. The difference between the speed standard deviation is determined. Optionally, the second speed discrete threshold and the third speed discrete threshold are numerically equal. Optionally, the optimization control unit 303 includes: a first phase adjustment subunit, configured to adjust a phase of a traffic signal at a road intersection in the road section to be optimized within a period corresponding to the traffic flow condition; The phase difference between the traffic signals of two adjacent road intersections in the same direction of traffic flow is determined according to the ratio between the distance between them and the speed of the traffic flow between them. Optionally, the optimization control unit 303 includes: a first configuration subunit, configured to, within a period corresponding to the traffic flow condition, according to a cycle length of the traffic signal at the road intersection and an effective green signal ratio, Calculate the average delay time of the road intersection using a preset traffic signal timing model, and obtain the cycle duration and effective green signal ratio when the average delay time is the minimum value, and according to the obtained cycle duration and validity The green letter ratio configures the traffic signal of the road intersection; and, for at least one road intersection in the road section to be optimized, the first configuration subunit is operated. Optionally, the optimization control unit 303 includes: a second phase adjustment subunit, configured to adjust a phase of a traffic signal at a road intersection in the road section to be optimized within a period corresponding to the traffic flow condition; The phase difference of the traffic signals of two adjacent road intersections in the same direction of traffic flow is determined according to the ratio between the distance between them and the speed of the traffic flow between the two; a second configuration sub-unit for In the period corresponding to the situation, according to the cycle time of the traffic signal at the road intersection and the effective green signal ratio, a preset traffic signal timing model is used to calculate the average delay time of the road intersection to obtain the average delay. Corresponding cycle duration and effective green signal ratio when the time is the minimum, and the traffic signal of the road intersection is configured according to the obtained cycle duration and effective green signal ratio; and for at least one road in the road section to be optimized At the intersection, the second configuration subunit is operated. Optionally, the constraint condition of the objective function used in the traffic signal timing model includes at least one of the following: the sum of the green light time of each phase of the road intersection and the sum of the cycle loss is equal to the cycle duration, and the road crosses The effective green signal ratio of each phase at the intersection is greater than or equal to the ratio of the minimum green light time to the cycle duration; wherein the minimum green light time is determined according to the current actual green light time of each phase of the road intersection. Optionally, the road traffic optimization device includes: a sub-segment optimization control unit, configured to determine whether the vehicle speed of the sub-segment in each traffic direction is less than the speed of the sub-segment in each traffic direction Preset threshold, if yes, determine the sub-section as a congested sub-section, and perform optimal control on the traffic signal of an adjacent road intersection of the congested sub-section; and divide the road intersection within the section to be optimized Into at least one sub-road section, the sub-road section optimization control unit is operated. Optionally, the average travel speed in the road section to be optimized is determined according to the average value of the vehicle travel speeds of the sub-road sections divided into the road intersections in the road section to be optimized. Optionally, the speed standard deviation is determined according to a standard deviation obtained by calculating a vehicle speed of each sub-section divided into a road intersection in the road section to be optimized with respect to the average driving 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 device 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 is the traffic at the road intersection in the road section to be optimized. The phase of the signal and its corresponding time information, the cycle length of the traffic signal at the road intersection in the road section to be optimized and the effective green signal ratio, and / or, the congestion road section in the road section to be optimized and its corresponding Congestion period. Optionally, the road traffic optimization device operates based on a pre-established road traffic optimization platform, and the road traffic optimization platform is provided with a data acquisition interface for obtaining the road traffic information for accessing and outputting the road section to be optimized A road traffic optimization service interface for a traffic signal optimization strategy, and / or a data upload interface for uploading the road traffic information; wherein the traffic signal optimization strategy includes information on road intersections in the road section to be optimized The phase of the traffic signal and the time information corresponding to each phase. Optionally, the road traffic information in the road traffic information analysis unit 301 is obtained in at least one of the following ways: obtaining navigation data of the road section to be optimized from a third-party map service provider through the data acquisition interface, where The navigation data includes the road traffic information; and receives the road traffic collection data uploaded by the traffic data acquisition device set on the road section to be optimized through the data upload interface, and 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 light set on the road section to be optimized, and faces the waiting traffic through the traffic signal configuration interface. Optimize the configuration of the traffic signal of traffic signal lights at each road intersection in the road section. An embodiment of an electronic device provided by the present invention is as follows: In the above embodiment, a road traffic optimization method is provided. In addition, the present invention also provides an electronic device for implementing the road traffic optimization method. Figure for illustration. Referring to FIG. 4, a schematic diagram of an electronic device according to this embodiment is shown. The electronic device provided by the present invention is used to implement the road traffic optimization method provided by the present invention. This embodiment corresponds to the road traffic optimization method embodiment provided above. For the content of this embodiment, please refer to the road provided above. Corresponding description of the traffic optimization method embodiment. The embodiments described below are merely exemplary. The present invention 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: An analysis of the road traffic information of the optimized road section obtains the road condition parameters of the road section to be optimized; determines the traffic conditions of the road section to be optimized in different periods according to the road condition parameters; The traffic signals at the road intersections in the road section are subjected to optimized control matching the traffic conditions. Optionally, the road condition parameter includes at least one of the following: average speed, speed standard deviation, speed dispersion coefficient per unit speed level, speed dispersion coefficient, and average speed in the road section to be optimized. Correlation coefficient. Optionally, the traffic flow condition includes at least one of the following: a peak traffic flow, a flat traffic flow peak, and a low traffic flow peak. Optionally, if the traffic condition is a peak traffic flow and a peak traffic flow, correspondingly, the traffic flow condition is determined in the following manner: judging whether an average driving speed of the road section to be optimized in a current period is less than a first speed threshold, If yes, the current traffic condition of the road section to be optimized in the current period is the peak traffic flow; if not, the current traffic condition of the road section to be optimized in the current period is the peak traffic level. Optionally, the first speed threshold is determined according to a difference between an average travel speed in the road section to be optimized and a standard deviation of speed in the road section to be optimized. Optionally, if the traffic condition is a peak flow and a peak flow, correspondingly, the traffic condition is determined in the following manner: judging whether the average driving speed of the road section to be optimized in the current period is less than a second speed threshold, If yes, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the first speed dispersion threshold, and if it is greater than or equal to the first speed dispersion threshold, the speed of the road section to be optimized in the current period is The traffic condition is the peak of traffic flow; if it is less than the first speed discrete threshold, the traffic condition of the road section to be optimized in the current period is the traffic peak level; if not, the traffic status of the road section to be optimized in the current period is the traffic peak level Wherein, the second speed threshold is determined according to a difference between an average traveling speed in the road section to be optimized and a standard deviation of speed in the road section to be optimized. Optionally, if the traffic flow conditions are peak traffic flow, peak traffic flow, and low traffic flow, correspondingly, the traffic flow condition is determined in the following manner: judging whether the average driving speed of the road section to be optimized in the current period is less than the third speed Threshold, if yes, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the second speed discrete threshold value, and if it is greater than or equal to the second speed dispersion threshold, the road section to be optimized The traffic flow condition in the current period is the peak traffic flow; if it is less than the second speed discrete threshold, the traffic flow condition of the road segment to be optimized in the current time period is the traffic peak level; if not, it is determined that the road segment to be optimized is in the current time period. Whether the speed dispersion coefficient is greater than or equal to the third speed dispersion threshold, and if it is greater than or equal to the third speed dispersion threshold, the current traffic condition of the road section to be optimized in the current period is a low traffic flow; if it is less than the first Three-speed discrete threshold, the current traffic condition of the road section to be optimized in the current period is the peak level of traffic flow; wherein the third Of the threshold value, and determining the difference between the two sections of the standard deviation of the speed to be optimized according to the average speed in the road section to be optimized. Optionally, the second speed discrete threshold and the third speed discrete threshold are numerically equal. Optionally, during the period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented in the following manner: During the period corresponding to the situation, the phase of the traffic signal at the road intersection in the road section to be optimized is adjusted; the phase difference of the traffic signal at two adjacent road intersections in the same traffic flow direction is based on the distance between the two The ratio of the traffic speed between the two is determined. Optionally, in a period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented in the following manner: Optimize at least one road intersection in a road section, and perform the following operations: within the period corresponding to the traffic flow condition, according to the cycle length of the traffic signal at the road intersection and the effective green signal ratio, use the preset traffic signal to time The model calculates the average delay time of the road intersection, obtains the corresponding cycle time and the effective green signal ratio when the average delay time is the minimum value, and configures the road intersection according to the obtained cycle time and the effective green signal ratio. Oral communication number. Optionally, during the period corresponding to the traffic flow condition, the optimization of the traffic signal at a road intersection in the road section to be optimized to match the traffic flow condition is implemented in the following manner: During the period corresponding to the situation, the phase of the traffic signal at the road intersection in the road section to be optimized is adjusted; the phase difference of the traffic signal at two adjacent road intersections in the same traffic flow direction is based on the distance between the two The ratio of the speed of the traffic flow between the two is determined; and, for at least one road intersection in the road section to be optimized, the following operations are performed: during a period corresponding to the traffic flow condition, according to the traffic signal of the road intersection Cycle duration and effective green signal ratio, calculate the average delay time of the road intersection using a preset traffic signal timing model, and obtain the cycle duration and effective green signal ratio corresponding to the minimum average delay time , And the traffic signal of the road intersection is configured according to the obtained cycle duration and the effective green letter ratio. Optionally, the constraint condition of the objective function used in the traffic signal timing model includes at least one of the following: the sum of the green light time of each phase of the road intersection and the sum of the cycle loss is equal to the cycle duration, and the road crosses The effective green signal ratio of each phase at the intersection is greater than or equal to the ratio of the minimum green light time to the cycle duration; wherein the minimum green light time is determined according to the current actual green light time of each phase of the road intersection. Optionally, the processor 402 is further configured to execute the following computer-executable instructions: For at least one sub-road section divided by a road intersection in the road section to be optimized, perform the following operation: according to the sub-road section in each traffic flow The speed of the vehicle in the direction, determine whether the vehicle speed of the sub-section in each traffic direction is less than a preset threshold, and if so, determine the sub-section as a congested sub-section, and adjoin the congested sub-section adjacent The traffic signal at the intersection is optimized for control. Optionally, the average travel speed in the road section to be optimized is determined according to the average value of the vehicle travel speeds of the sub-road sections divided into the road intersections in the road section to be optimized. Optionally, the speed standard deviation is determined according to a standard deviation obtained by calculating a vehicle speed of each sub-section divided into a road intersection in the road section to be optimized with respect to the average driving 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 processor 402 executes the computer-executable instruction based on the traffic signal timing model, and the input of the traffic signal timing model is the road traffic information and the output is the road on the road section to be optimized The phase of the traffic signal at the intersection and its corresponding time information, the cycle length of the traffic signal at the road intersection in the road section to be optimized and the effective green signal ratio, and / or, the congestion road section in the road section 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, and the road traffic optimization platform is provided with a data acquisition interface for obtaining the road traffic information for access and output A road traffic optimization service interface of the traffic signal optimization strategy of the road section to be optimized, and / or a data upload interface for uploading the road traffic information; wherein the traffic signal optimization strategy includes the road section to be optimized The phase of the traffic signal at each road intersection and the time information corresponding to each phase. Optionally, the road traffic information in the road condition parameter instruction of the road section to be optimized is obtained according to the obtained road traffic information analysis of the road section to be optimized, and is obtained in at least one of the following ways: from the third-party vendor through the data acquisition interface A map service provider obtains navigation data of the road section to be optimized, and the navigation data includes the road traffic information; and receives road traffic collection data uploaded by the traffic data acquisition device set on the road section to be optimized through the data upload interface, 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 light set on the road section to be optimized, and faces the waiting traffic through the traffic signal configuration interface. Optimize the configuration of the traffic signal of traffic signal lights at each road intersection in the road section. Although the present invention is disclosed as above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of protection shall be determined by the scope defined by the claims of the present invention. In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. Memory may include non-permanent memory, random access memory (RAM), and / or non-volatile memory in computer-readable media, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium. Computer-readable media includes permanent and non-permanent, removable and non-removable media. Information can be stored by any method or technology. 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), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable and programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only disc read-only memory (CD-ROM), digital multi-function Optical discs (DVDs) or other optical storage, magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transmitting medium may be used to store information that can be accessed by computing devices. As defined in this article, computer-readable media does not include non-transitory computer-readable media, such as modulated data signals and carrier waves. Those skilled in the art should understand that the embodiments of the present invention may be provided as a method, a system or a computer program product. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk memory, CD-ROM, optical memory, etc.) containing computer-usable code. .

301‧‧‧Road Traffic Information Analysis Unit

302‧‧‧Traffic status determination unit

303‧‧‧Optimized control unit

401‧‧‧Memory

402‧‧‧Processor

FIG. 1 is a processing flowchart of an embodiment of a road traffic optimization method provided by the present invention; FIG. 2 is a schematic diagram of a green wave band provided by the present invention; FIG. 3 is an embodiment of a road traffic optimization device provided by the present invention Figure 4 is a schematic diagram of an embodiment of an electronic device provided by the present invention.

Claims (22)

A road traffic optimization method includes: 获得 obtaining road condition parameters of the road section to be optimized according to the obtained road traffic information analysis of the road section to be optimized; 确定 determining traffic conditions of the road section to be optimized at different periods according to the road condition parameter; During the period corresponding to the traffic flow condition, the traffic signal at the road intersection in the road section to be optimized is optimized and matched with the traffic flow condition. The road traffic optimization method according to item 1 of the scope of patent application, wherein the road condition parameters include at least one of the following: average driving speed, standard deviation of speed, and speed dispersion at a unit speed level in the road section to be optimized Speed correlation coefficient of coefficient, speed dispersion coefficient and average driving speed. The road traffic optimization method according to item 2 of the scope of patent application, wherein the traffic flow condition includes at least one of the following: ： peak traffic flow, peak traffic flow, and low traffic flow. The road traffic optimization method according to item 3 of the scope of patent application, wherein if the traffic flow conditions are peak traffic flow and peak traffic flow, correspondingly, the traffic flow conditions are determined as follows: ： determine that the road section to be optimized is in the current period Whether the average driving speed of the road is less than the first speed threshold, and if so, the current traffic condition of the road section to be optimized in the current period is the peak traffic flow; if not, the current traffic condition of the road section to be optimized in the current period is the peak traffic level. The road traffic optimization method according to item 4 of the scope of patent application, wherein the first speed threshold is based on both the average travel speed in the road section to be optimized and the standard deviation of the speed in the road section to be optimized. The difference is determined. The road traffic optimization method according to item 3 of the scope of patent application, wherein if the traffic flow conditions are peak traffic flow and peak traffic flow, correspondingly, the traffic flow conditions are determined as follows: ： determine that the road section to be optimized is in the current period Whether the average speed of the vehicle is less than the second speed threshold, and if so, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the first speed dispersion threshold, and if it is greater than or equal to the first speed dispersion Threshold value, the traffic flow condition of the road section to be optimized in the current period is the peak traffic flow; if it is less than the first speed discrete threshold value, the traffic flow condition of the road section to be optimized in the current period is the traffic peak level; if not, all The current traffic condition of the road section to be optimized in the current period is the peak level of traffic flow; wherein the second speed threshold is based on the average travel speed of the road section to be optimized and the standard deviation of the speed in the road section to be optimized. The difference is determined. According to the road traffic optimization method described in item 3 of the scope of patent application, if the traffic flow conditions are peak traffic flow, peak traffic flow, and low traffic flow, correspondingly, the traffic flow conditions are determined in the following manner: determine the to be optimized Whether the average travel speed of the road section in the current period is less than the third speed threshold, and if so, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the second speed dispersion threshold, and if it is greater than or equal to the The second speed discrete threshold, the current traffic condition of the road section to be optimized in the current period is the peak flow; if it is less than the second speed discrete threshold, the current traffic status of the road section to be optimized in the current period is the flat peak; If not, determine whether the speed dispersion coefficient of the road section to be optimized in the current period is greater than or equal to the third speed dispersion threshold, and if it is greater than or equal to the third speed dispersion threshold, the road section to be optimized is in the current period The traffic flow condition is a low traffic flow; if it is less than the third speed discrete threshold, the road section to be optimized is at Traffic condition at the current time of peak traffic levels; wherein the third speed threshold value, determining the difference between the two sections within the standard deviation of the speed to be optimized according to the average speed in the road section to be optimized. The road traffic optimization method according to item 7 of the scope of patent application, wherein the second speed discrete threshold value and the third speed discrete threshold value are numerically equal. The road traffic optimization method according to item 3 of the scope of patent application, wherein the traffic signal of a road intersection in the road section to be optimized is matched with the traffic flow condition during a period corresponding to the traffic flow condition The optimization control is implemented as follows: Adjust the phase of the traffic signal at the road intersection in the road section to be optimized within the period corresponding to the traffic flow condition; the 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 them and the speed of the traffic flow between them. The road traffic optimization method according to item 3 of the scope of patent application, wherein the traffic signal of a road intersection in the road section to be optimized is matched with the traffic flow condition during a period corresponding to the traffic flow condition The optimization control is implemented as follows: For at least one road intersection in the road section to be optimized, perform the following operations: Within the period corresponding to the traffic flow condition, according to the cycle length of the traffic signal at the road intersection and The effective green signal ratio, using a preset traffic signal timing model to calculate the average delay time of the road intersection, to obtain the cycle time and the effective green signal ratio corresponding to the minimum delay time, and according to the obtained The cycle length and the effective green letter ratio configure the traffic signal at the road intersection. The road traffic optimization method according to item 3 of the scope of patent application, wherein the traffic signal of a road intersection in the road section to be optimized is matched with the traffic flow condition during a period corresponding to the traffic flow condition The optimization control is implemented as follows: Adjust the phase of the traffic signal at the road intersection in the road section to be optimized within the period corresponding to the traffic flow condition; the 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 them and the speed of the traffic flow between them; and, for at least one road intersection in the road section to be optimized, perform the following operations: 对应 Correspond to the traffic flow conditions During the period of time, according to the cycle time of the traffic signal at the road intersection and the effective green signal ratio, a preset traffic signal timing model is used to calculate the average delay time of the road intersection, and the average delay time is obtained as Corresponding period duration and effective green letter ratio at minimum value, and according to the obtained period duration and effective green letter Than the traffic signal of the road intersection. The road traffic optimization method according to item 10 of the scope of the patent application, wherein the constraint condition of the objective function used in the traffic signal timing model includes at least one of the following: 与 The sum of the green light time of each phase of the road intersection and The sum of the cycle losses is equal to the cycle duration, and the effective green signal ratio of the road intersection at each phase is greater than or equal to the ratio of the minimum green light time to the cycle duration; wherein the minimum green light time is based on each phase of the road intersection The current actual green light time is determined. The road traffic optimization method according to item 3 of the scope of patent application, which includes: For at least one sub-road section divided by a road intersection in the road section to be optimized, perform the following operations: According to the sub-road section in each traffic flow direction The speed of the vehicle, determine whether the vehicle speed of the sub-section in each traffic direction is less than a preset threshold, and if so, determine the sub-section as a congested sub-section and cross the adjacent road of the congested sub-section Oral communication signal for optimized control. The method for optimizing road traffic according to item 2 of the scope of the patent application, wherein the average travel speed in the road section to be optimized is based on the average value of the vehicle travel speed of each sub-road section divided by the road intersection in the road section to be optimized. determine. The road traffic optimization method according to item 14 of the scope of the patent application, wherein the speed standard deviation is calculated based on the vehicle speed of each sub-segment divided by the road intersection within the road section to be optimized relative to the average speed The obtained standard deviation is determined. The road traffic optimization method according to item 15 of the scope of patent application, wherein the speed dispersion coefficient at the unit speed level is determined according to a ratio of the speed standard deviation to the average driving speed. The road traffic optimization method according to item 3 of the scope of patent application, 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, The output is the phase of the traffic signal at the road intersection in the road section to be optimized and its corresponding time information, the cycle time of the traffic signal at the road intersection in the road section to be optimized and the effective green signal ratio, and / or, The congestion sub-sections within the section to be optimized and their corresponding congestion periods are described. 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 for obtaining the Data acquisition interface for road traffic information, used to access and output the road traffic optimization service interface for the traffic signal optimization strategy of the road section to be optimized, and / or, a data upload interface for uploading the road traffic information; The traffic signal optimization strategy includes phases of traffic signals at each road intersection in the road section to be optimized, and time information corresponding to the phases. The road traffic optimization method according to item 18 of the scope of patent application, wherein the road traffic information in the step of the road condition parameter of the road section to be optimized is obtained by analyzing the obtained road traffic information of the road section to be optimized, using at least the following One way to obtain: 获取 obtain the navigation data of the road section to be optimized from a third-party map service provider through the data acquisition interface, the navigation data including the road traffic information; 接收 receive the road section to be optimized through the data upload interface The set of traffic data acquisition equipment uploads road traffic collection data, and the road traffic collection data includes the road traffic information. The road traffic optimization method according to item 19 of the scope of patent application, wherein the road traffic optimization platform is provided with a traffic signal configuration interface, and the road traffic optimization platform is combined with the interface corresponding to the traffic signal lights set on the road section to be optimized According to the protocol, the traffic signal number of the traffic signal light at each road intersection in the road section to be optimized is configured through the traffic signal configuration interface. A road traffic optimization device includes: (1) a road traffic information analysis unit configured to obtain a road condition parameter of the road section to be optimized according to the obtained road traffic information analysis of the road section to be optimized; (2) a traffic flow determination unit to be used according to the road condition parameter Determining the traffic conditions of the road section to be optimized at different times; an optimization control unit for matching the traffic signals of road intersections on the road section to be optimized with the traffic conditions during the time corresponding to the traffic conditions; Optimization control. An electronic device includes: a memory and a processor; 储存 the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions: analysis of road traffic information based on the obtained road section to be optimized Obtain road condition parameters of the road section to be optimized; 确定 determine traffic conditions of the road section to be optimized at different times according to the road condition parameters; 对 traffic to road intersections in the road section to be optimized during the time corresponding to the traffic conditions The signal performs optimized control matching the traffic conditions.