WO2018149308A1 - Procédé et dispositif d'optimisation de la circulation routière et appareil électronique - Google Patents

Procédé et dispositif d'optimisation de la circulation routière et appareil électronique Download PDF

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Publication number
WO2018149308A1
WO2018149308A1 PCT/CN2018/075062 CN2018075062W WO2018149308A1 WO 2018149308 A1 WO2018149308 A1 WO 2018149308A1 CN 2018075062 W CN2018075062 W CN 2018075062W WO 2018149308 A1 WO2018149308 A1 WO 2018149308A1
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road
traffic
optimized
speed
condition
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PCT/CN2018/075062
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English (en)
Chinese (zh)
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王梦佳
闵万里
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阿里巴巴集团控股有限公司
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Publication of WO2018149308A1 publication Critical patent/WO2018149308A1/fr

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/081—Plural intersections under common control

Definitions

  • 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.
  • 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.
  • 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:
  • the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.
  • 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.
  • the traffic flow condition includes at least one of the following: a traffic flow peak, a traffic flow peak, and a traffic low peak.
  • the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined as follows:
  • 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 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.
  • the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined as follows:
  • 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 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:
  • 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 second speed discrete threshold and the third speed discrete threshold are numerically equal.
  • 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:
  • 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:
  • 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.
  • 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:
  • 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.
  • 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.
  • the road traffic optimization method includes:
  • 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 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.
  • 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 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 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.
  • 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:
  • 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
  • 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 Memory, and processor
  • the memory is for storing computer executable instructions for executing the computer executable instructions:
  • 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 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.
  • FIG. 1 is a process flow diagram of an embodiment of a road traffic optimization method provided by the present application.
  • FIG. 2 is a schematic view of a green wave band provided by the present application.
  • FIG. 3 is a schematic diagram of an embodiment of a road traffic optimization device provided by the present application.
  • FIG. 4 is a schematic diagram of an embodiment of an electronic device provided by the present application.
  • the present application provides a road traffic optimization method, and the present application further provides a road traffic optimization device, and an electronic device.
  • a road traffic optimization method and the present application further provides a road traffic optimization device, and an electronic device.
  • the road traffic optimization method provided by the present application is implemented as follows:
  • FIG. 1 there is shown a process flow diagram of an embodiment of a road traffic optimization method provided by the present application.
  • 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.
  • 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.
  • 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.
  • many traveler's terminal devices transmit their geographic location information, moving speed and direction to the cloud in real time through the mobile Internet.
  • 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 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 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 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:
  • 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:
  • 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
  • v i is the vehicle traveling speed of the i-th sub-segment.
  • 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:
  • std is the standard deviation of the speed within 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:
  • ⁇ is the velocity dispersion coefficient at the unit velocity level in the green wave band.
  • 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.
  • the traffic flow condition includes a traffic flow peak and a traffic flow peak.
  • 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.
  • 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.
  • 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:
  • 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.
  • 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:
  • the second speed threshold 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 .
  • the traffic condition in the green wave band may be determined as follows:
  • 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.
  • 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.
  • the average delay time is a minimum period corresponding to the period duration and the effective green signal ratio
  • the traffic signal of the road intersection is configured according to the obtained period duration and the effective green signal ratio.
  • the traffic signal timing model may adopt the following objective function:
  • g jk G jk /C
  • ⁇ jk q jk /S jk
  • j is the phase of the intersection of the road within the green wave band
  • k is the inlet approach road of the road intersection in the direction of each traffic flow
  • ⁇ 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
  • S jk is the kth import of the jth phase
  • 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
  • g jk is the kth phase of the jth phase
  • G jk is the effective green light duration on the kth import approach path of the jth phase.
  • 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:
  • G ej ⁇ is the minimum green time
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 Facebook Cloud, and the big data analysis and calculation platform is provided externally.
  • 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.
  • 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.
  • 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.
  • the traffic signal of the green wave band can be more accurately optimized in combination with big data.
  • big data ie, road traffic
  • 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.
  • 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.
  • 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.
  • the road traffic optimization method 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:
  • a road traffic optimization method is provided.
  • the present application also provides a road traffic optimization device, which will be described below with reference to the accompanying drawings.
  • FIG. 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.
  • 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.
  • 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.
  • the traffic flow condition includes at least one of the following: a traffic flow peak, a traffic flow peak, and a traffic low peak.
  • 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.
  • 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.
  • 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;
  • 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 traffic 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;
  • 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 second speed discrete threshold and the third speed discrete threshold are numerically equal.
  • 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.
  • 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
  • the first configuration subunit is operated for at least one road intersection in the to-be-optimized road segment.
  • 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;
  • the second configuration subunit is operated for at least one road intersection in the to-be-optimized road segment.
  • 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;
  • the minimum green time is determined according to the current actual green time of each phase of the road intersection.
  • 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;
  • 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 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.
  • 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 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 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.
  • 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 information in the road traffic information analysis unit 301 is obtained by using at least one of the following methods:
  • 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:
  • a road traffic optimization method is provided.
  • 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.
  • 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.
  • the embodiments described below are merely illustrative.
  • the application provides an electronic device, including:
  • the memory 401 is configured to store computer executable instructions, and the processor 402 is configured to execute the computer executable instructions:
  • the traffic signal of the road intersection in the road section to be optimized is optimized for matching the traffic condition.
  • 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.
  • the traffic flow condition includes at least one of the following: a traffic flow peak, a traffic flow peak, and a traffic low peak.
  • the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined as follows:
  • 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 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.
  • the traffic flow condition is a traffic flow peak and a traffic flow peak, correspondingly, the traffic flow condition is determined as follows:
  • 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 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:
  • 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 second speed discrete threshold and the third speed discrete threshold are numerically equal.
  • 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:
  • 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:
  • 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.
  • 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:
  • 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.
  • 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;
  • the minimum green time is determined according to the current actual green time of each phase of the road intersection.
  • processor 402 is further configured to execute the following computer executable instructions:
  • 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 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.
  • 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 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 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;
  • 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 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 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.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile 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.
  • RAM random access memory
  • ROM read only 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.
  • computer readable media does not include non-transitory computer readable media, such as modulated data signals and carrier waves.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • 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.
  • 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.

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Abstract

La présente invention concerne un procédé et un dispositif d'optimisation de la circulation routière et un appareil électronique. Le procédé consiste : à effectuer une analyse, sur la base d'informations de circulation routière acquises d'une section de route devant être optimisée, pour acquérir des paramètres de condition de route de la section de route devant être optimisée; à déterminer, selon les paramètres de condition de route, des conditions de circulation de véhicules de la section de route devant être optimisée dans différents segments temporels; et à effectuer, dans un segment temporel correspondant aux conditions de circulation de véhicules, une commande d'optimisation dans laquelle des signaux de circulation au niveau d'intersections de route dans la section de route devant être optimisée sont mis en correspondance avec les conditions de circulation de véhicules. Le procédé d'optimisation de la circulation routière réduit, en effectuant une commande d'optimisation correspondante sur des signaux de trafic au niveau d'intersections de route dans une section de route devant être optimisée, le nombre de fois où des véhicules s'arrêtent et des périodes de retard pendant un processus de véhicules traversant la section de route devant être optimisée, ce qui permet de réduire le temps pour que les véhicules traversent la section de route devant être optimisée, d'améliorer l'efficacité globale du rendement d'une section de route devant être optimisée, et de fournir une commande d'optimisation plus précise et plus intelligente pour la circulation routière d'une section de route devant être optimisée.
PCT/CN2018/075062 2017-02-15 2018-02-02 Procédé et dispositif d'optimisation de la circulation routière et appareil électronique WO2018149308A1 (fr)

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