WO2018149307A1 - 交通路况分析方法、装置及电子设备 - Google Patents

交通路况分析方法、装置及电子设备 Download PDF

Info

Publication number
WO2018149307A1
WO2018149307A1 PCT/CN2018/075050 CN2018075050W WO2018149307A1 WO 2018149307 A1 WO2018149307 A1 WO 2018149307A1 CN 2018075050 W CN2018075050 W CN 2018075050W WO 2018149307 A1 WO2018149307 A1 WO 2018149307A1
Authority
WO
WIPO (PCT)
Prior art keywords
road
traffic
intersection
condition
phase adjustment
Prior art date
Application number
PCT/CN2018/075050
Other languages
English (en)
French (fr)
Inventor
闵万里
王佳玮
王正刚
Original Assignee
阿里巴巴集团控股有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 阿里巴巴集团控股有限公司 filed Critical 阿里巴巴集团控股有限公司
Publication of WO2018149307A1 publication Critical patent/WO2018149307A1/zh
Priority to US16/542,258 priority Critical patent/US11380195B2/en
Priority to US17/646,397 priority patent/US12014629B2/en

Links

Images

Classifications

    • 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
    • G08G1/082—Controlling the time between beginning of the same phase of a cycle at adjacent intersections
    • 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
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • 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
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • 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
    • 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
    • G08G1/083—Controlling the allocation of time between phases of a cycle

Definitions

  • the present application relates to the field of intelligent transportation, and in particular to a method for analyzing traffic conditions.
  • the present application also relates to a traffic condition analysis device, another method and device for analyzing traffic conditions, and two types of electronic devices.
  • the prior art has relatively weak ability to estimate the road traffic analysis and traffic flow evolution trend of each road segment in the traffic road network according to the road condition information collected by the traditional data acquisition device; meanwhile, the prior art analyzes the traffic according to the road condition.
  • the results and the estimation results of the traffic flow trend have lower accuracy when the traffic signals of the road sections in the traffic network are adjusted correspondingly, and have certain limitations on the road traffic analysis of each section of the traffic network.
  • the present application provides a traffic condition analysis method to solve the limitations of the prior art.
  • the present application further provides a traffic condition analysis device, another traffic condition analysis method and device, and two types of electronic devices.
  • the application provides a method for analyzing traffic conditions, including:
  • the road traffic information and the road condition parameter are merged by using a preset data fusion algorithm;
  • the road traffic information and the road condition parameter are road traffic information and road condition parameters within a short time granularity before being merged, and are merged Road traffic information and road condition parameters within a long time granularity;
  • the road traffic information and the road condition parameter in the road condition imbalance index step of determining the road traffic condition of the road intersection combined with the road traffic information and the road condition parameter are road traffic information within a long time granularity after the fusion Traffic parameters.
  • the determining a road condition imbalance index of the road intersection traffic road condition by combining the road traffic information and the road condition parameter includes:
  • a road condition imbalance index of the road intersection is determined according to a second imbalance index of the traffic flow direction.
  • the first imbalance index of the transit route is determined according to a difference between an upstream travel speed and a downstream travel speed of the travel route;
  • the upstream traveling speed of the traffic route is obtained by normalizing the actual traveling speed of the upstream road section of the traffic route, and the downstream traveling speed of the traffic route is normalized by the actual traveling speed of the downstream road section of the traffic route Obtained after theization.
  • the actual traveling speed of the upstream section of the traffic route is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the upstream speed is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the actual traveling speed of the downstream section of the transit route is normalized by dividing the actual traveling speed of the downstream section of the transit route by the preset free speed of the transit route to obtain the transit route.
  • the downstream speed is the actual traveling speed of the downstream section of the transit route.
  • the second imbalance index of the traffic direction is determined according to a weighted sum of the first imbalance index of each traffic route in the traffic direction, and the weight is the total traffic flow of the traffic flow of each traffic route in the direction of the traffic flow of the traffic lane.
  • the proportion of the middle is the proportion of the middle.
  • determining the road condition imbalance index of the road intersection according to the second imbalance index of the traffic flow direction is implemented as follows:
  • the weight of the second imbalance index is the ratio of the traffic volume corresponding to the direction of the traffic flow to the total traffic volume in the direction of the traffic of the same phase signal.
  • determining the road condition imbalance index of the road intersection according to the second imbalance index of the traffic flow direction is implemented as follows:
  • the weight of the second imbalance index is The proportion of the traffic flow corresponding to the traffic direction in the total traffic volume of the road intersection.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the road intersection is located in a traffic road network, where the traffic road network includes at least one road intersection, and correspondingly, if the determining whether the road condition imbalance index exceeds a preset road condition imbalance threshold step If the result of the determination is no, the step of performing the road condition information of the road intersection according to the acquired road intersection is performed for the unlocated road intersection in the traffic network, and the step of obtaining the road condition parameter of the road intersection is performed.
  • the phase signal of the road intersection is adjusted according to the actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection determines the actual phase adjustment time corresponding to the minimum difference between the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection
  • the step is implemented based on a preset phase adjustment model
  • phase adjustment coefficient is obtained through phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the traffic condition analysis method is implemented based on a pre-established traffic condition analysis platform, where the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the road intersection.
  • a traffic condition analysis interface at an actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • the application also provides a traffic condition analysis device, including:
  • a road traffic information analysis unit configured to obtain a road condition parameter of the road intersection according to the acquired road traffic information of the road intersection
  • a road condition imbalance index determining unit configured to determine, according to the road traffic information and the road condition parameter, a road condition imbalance index of the road intersection traffic road condition
  • a road condition imbalance index determining unit configured to determine whether the road condition imbalance index exceeds a preset road condition imbalance threshold, and if so, operating an unbalanced intersection positioning unit;
  • the unbalanced intersection positioning unit is configured to position the road intersection as an unbalanced intersection with a traffic condition imbalance.
  • the traffic condition analysis device includes:
  • a theoretical phase adjustment time determining unit configured to determine, according to the road traffic information and/or the road condition parameter, a theoretical phase adjustment time of each phase signal in each traffic direction of the road intersection;
  • the actual phase adjustment time determining unit is configured to determine, according to the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection, the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection The actual phase adjustment time corresponding to the minimum difference;
  • the phase signal adjusting unit is configured to adjust a phase signal of the road intersection according to an actual phase adjustment time of each phase signal according to the road intersection.
  • the application additionally provides a method for analyzing traffic conditions, including:
  • the phase signal of the road intersection is adjusted according to the actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the step of obtaining the road condition parameter of the road intersection according to the acquired road traffic information of the acquired road intersection, and determining the traffic flow of the road intersection according to the road traffic information and the road condition parameter Determining, in the direction, each of the traffic routes in the theoretical phase adjustment time step of each phase signal, and/or determining the road intersection in each phase according to the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection
  • the actual phase adjustment time step corresponding to the difference between the theoretical phase adjustment time of the signal and the actual phase adjustment time is based on a preset phase adjustment model
  • phase adjustment coefficient is obtained through phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the traffic condition analysis method is implemented based on a pre-established traffic condition analysis platform, where the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the road intersection.
  • a traffic condition analysis interface at an actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • the application further provides a traffic condition analysis device, including:
  • a road traffic information analysis unit configured to obtain a road condition parameter of the road intersection according to the acquired road traffic information of the road intersection
  • a theoretical phase adjustment time determining unit configured to determine, according to the road traffic information and the road condition parameter, a theoretical phase adjustment time of each phase signal in each traffic direction of the road intersection;
  • the actual phase adjustment time determining unit is configured to determine, according to the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection, the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection The actual phase adjustment time corresponding to the minimum difference;
  • the phase signal adjusting unit is configured to adjust a phase signal of the road intersection according to an actual phase adjustment time of each phase signal according to the road intersection.
  • 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 application further provides an electronic device, including:
  • Memory Memory, and processor
  • the memory is for storing computer executable instructions for executing the computer executable instructions:
  • the phase signal of the road intersection is adjusted according to the actual phase adjustment time of each phase signal according to the road intersection.
  • the traffic condition analysis method includes: obtaining a road condition parameter of the road intersection according to the acquired road traffic information of the road intersection; determining the road intersection by combining the road traffic information and the road condition parameter The road condition imbalance index of the port traffic condition; determining whether the road condition imbalance index exceeds a preset road condition imbalance threshold, and if so, positioning the road intersection as an unbalanced intersection where the traffic condition is unbalanced.
  • the traffic condition analysis method first analyzes the road traffic information of the road intersection collected in advance when analyzing the traffic road condition of the road intersection, thereby obtaining the road intersection characterizing the road intersection. Obtaining the road condition parameter of the traffic condition of the port, and combining the pre-acquired road traffic information analysis of the road intersection to obtain the road condition parameter, determining a road condition imbalance index characterizing the unbalanced traffic condition of the road intersection, and finally obtaining the road condition
  • the road condition imbalance index analyzes the imbalance of the traffic road conditions at the road intersection, and realizes the positioning of the unbalanced intersection.
  • the traffic condition analysis method combines road traffic information and road condition parameters of road intersections to design a road condition imbalance index analysis system for road intersections, and analyzes the imbalance of traffic road conditions at road intersections through road condition imbalance index analysis system, thereby making road intersections
  • the analysis of traffic conditions is more refined, and at the same time, more accurate unbalanced intersection positioning is achieved.
  • FIG. 1 is a process flow diagram of an embodiment of a traffic condition analysis method provided by the present application.
  • Figure 2 is a schematic view of a road intersection provided by the present application.
  • FIG. 3 is a schematic diagram of an embodiment of a traffic condition analysis apparatus provided by the present application.
  • FIG. 4 is a process flow diagram of another embodiment of a traffic condition analysis method provided by the present application.
  • FIG. 5 is a schematic diagram of another embodiment of a traffic condition analysis apparatus provided by the present application.
  • FIG. 6 is a schematic diagram of an embodiment of an electronic device provided by the present application.
  • FIG. 7 is a schematic diagram of another embodiment of an electronic device provided by the present application.
  • the present application provides a traffic condition analysis method, and the present application further provides a traffic condition analysis device, another traffic condition analysis method and device, and two types of electronic devices.
  • a traffic condition analysis method and the present application further provides a traffic condition analysis device, another traffic condition analysis method and device, and two types of electronic devices. The following is a detailed description of the embodiments of the embodiments provided herein, and the various steps of the method are explained.
  • the traffic path analysis method provided by the present application is implemented as follows:
  • FIG. 1 there is shown a process flow diagram of an embodiment of a traffic condition analysis method provided by the present application.
  • Figure 2 a schematic diagram of a road intersection provided by the present application is shown.
  • Step S101 Obtain a road condition parameter of the road intersection according to the acquired road traffic information of the road intersection.
  • the road intersection referred to in the embodiment of the present application refers to the intersection of two or more roads, such as a common intersection, a T-junction, a three-way intersection, and a roundabout.
  • the road intersection is located in a traffic road network, which may be a geographical area that actually includes at least one road intersection, or a road that includes one or more road intersections.
  • the traffic condition analysis method analyzes the traffic road conditions of the road intersections in the traffic road network, thereby determining the congestion degree of the road intersections in the traffic road network, that is, the traffic road network.
  • an intersection is taken as an example to analyze the traffic condition of the intersection.
  • the intersection includes four east, south, west and north traffic directions, and the import direction of each traffic direction can be regarded as the upstream road segment of the current traffic flow direction, and the exit direction opposite to the upstream traffic segment can be regarded as the downstream of the current traffic flow direction. Road section. Further, there are three traffic lines in each traffic flow direction, taking the traffic direction "South" as an example.
  • the middle one is a straight traffic route, and the upstream road section from the traffic flow direction "South” to the downstream road section;
  • the traffic line is a right-turning traffic line, from the upstream section of the traffic direction “South” to the downstream section of the traffic flow direction "East”;
  • the left traffic lane is the left-turn traffic route, driving from the upstream section of the traffic flow direction "South”
  • the downstream section of the "west” direction to the traffic flow By analogy, there are 3 traffic lines in each traffic direction, and there are a total of 12 traffic lines at the intersection.
  • the road traffic information at the intersection refers to original information of the vehicle traveling on the import road section and the exit road section in each direction of the intersection, and information related to the intersection, such as the actual driving of the vehicle in the intersection
  • many traveler's terminal devices transmit their geographic location information, moving speed and direction to the cloud in real time through the mobile Internet.
  • many travellers obtain navigation information by accessing the online map platform, and the navigation information includes Geographical location information, travel routes, these geographic location information, moving speed, direction and travel routes can be used as road traffic information on the corresponding road segments; meanwhile, due to the widespread popularity of mobile terminal devices, road traffic information is collected through the above methods.
  • the time period in which the traffic network can be covered in the time dimension is relatively dense, and the position in the spatial dimension that can cover the road segment in the traffic network is also more dense, so that the blind road is collected in the time dimension and the spatial dimension.
  • Road traffic information for the net is relatively dense, and the position in the spatial dimension that can cover the road segment in the traffic network is also more dense, so that the blind road is collected in the time dimension and the spatial dimension.
  • the road condition parameter is used to represent the intersection traffic condition and the information related to the intersection.
  • the road condition parameter in this embodiment includes one or more of the following parameters: the traffic direction of the intersection The actual travel speed of the upstream section of each of the following traffic routes, the actual travel speed of the downstream road section, the short time granularity to which the actual travel speed belongs, the vehicle travel direction corresponding to the traffic route, the short-time granularity corresponding workday/non-working day, and the transit route workday Total traffic flow, traffic route non-working day total traffic flow; wherein the vehicle driving direction includes: left turn, right turn, straight run and U-turn.
  • a corresponding data structure may be set for the road traffic information, and the set data structure includes various parameters of the road traffic information; similarly, the corresponding data structure may also be set for the road condition parameter. And including various parameters of the road condition parameter in the set data structure.
  • the road condition parameter for characterizing the traffic condition of the intersection is obtained through analysis.
  • the actual travel speed of the upstream section of the traffic flow direction "South" straight traffic route is lower than the actual travel speed of the downstream road section.
  • the actual possible situation is due to the excessive traffic flow in the upstream section of the straight traffic route. Waiting, in this case, whether to locate the current intersection as an unbalanced intersection with unbalanced traffic conditions, further calculation and verification are required in combination with the following steps.
  • the road traffic information of the intersection obtained as described above and the road condition parameter of the intersection obtained by the analysis are often characterized by the intersection at a certain moment or a certain period of time.
  • a traffic condition therefore, after performing the step of analyzing the road condition parameter of the intersection according to the obtained road traffic information of the intersection, the following data fusion operation may also be performed, by using the data fusion operation.
  • the road traffic information and the road condition parameters are merged into road traffic information and road condition parameters that can reflect the traffic law.
  • the road traffic information and the road condition parameters are characterized by the traffic condition of the intersection within 2 minutes before the fusion, and the crossroads are characterized by the fusion. Traffic conditions within 10 minutes or 30 minutes.
  • the data fusion operation is specifically implemented as follows:
  • the road traffic information and the road condition parameter are merged by using a preset data fusion algorithm; the road traffic information and the road condition parameter are road traffic information and road condition parameters within a short time granularity before being merged, and are merged Road traffic information and road condition parameters within a long time granularity; correspondingly, the road traffic information and the road condition parameters involved in the following steps refer to road traffic information and road condition parameters within a long time granularity after the fusion.
  • the long-time granularity road condition parameter includes The actual travel speed is equal to the average of the actual travel speeds included in the short-time granularity road condition parameters of the long-term granularity coverage.
  • the actual traveling speed included in the long-time granularity road condition parameter may be calculated in combination with the time weight on the basis of considering the time weight corresponding to the short-time granularity.
  • the traffic volume included in the long-time granularity road condition parameter is equal to the sum of the traffic flows included in the short-time granularity road condition parameters of the long-time granularity coverage.
  • the road traffic information and other parameters included in the road condition parameter may also be fused by using the data fusion algorithm, and different parameters are fused according to the data fusion algorithm according to the data fusion algorithm.
  • the corresponding algorithm included in the fusion calculation may also be fused by using the data fusion algorithm, and different parameters are fused according to the data fusion algorithm according to the data fusion algorithm. The corresponding algorithm included in the fusion calculation.
  • the following data optimization operation may also be performed, and the data optimization operation is used to eliminate the The effect of the actual road network structure at the intersection on the road traffic information and the road condition parameters.
  • the traffic direction of the intersection is “North”.
  • the data optimization operation may be performed on the road traffic information of the intersection, and one or more parameters included in the road traffic information are optimized by the data optimization operation;
  • the data optimization operation may be simultaneously performed for both the road traffic information and the road condition parameter, and the road traffic information and one or more parameters included in the road condition parameter are optimized.
  • Step S102 determining a road condition imbalance index of the road intersection traffic road condition according to the road traffic information and the road condition parameter.
  • the above step S101 obtains a road condition parameter for characterizing the traffic condition of the intersection according to the acquired road traffic information analysis of the intersection.
  • the road traffic information and the road condition parameter of the intersection are determined to determine the road condition.
  • Road imbalance index for traffic conditions at intersections The specific implementation is as follows:
  • the first imbalance index of each of the 12 traffic routes in the four traffic directions is calculated respectively, wherein the first imbalance index of any one of the traffic routes of the intersection is equal to the traffic route.
  • the actual travel speed of the downstream section is obtained after normalization.
  • the actual traveling speed of the upstream section of the traffic route may be normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route (no congestion state/normal situation) The traveling speed of the passing vehicle through the traveling speed of the passing route or the maximum traveling speed allowed by the passing route is obtained, and the upstream traveling speed of the passing route is obtained.
  • the actual traveling speed of the downstream section of the traffic route can be normalized by dividing the actual traveling speed of the downstream section of the traffic route by the preset free speed of the traffic route, and obtaining the downstream traveling speed of the traffic route.
  • a second imbalance index of the four traffic directions of the intersection is respectively calculated, wherein a second imbalance index of any one of the traffic directions of the intersection is equal to the first route of each traffic route in the traffic direction.
  • the weighted sum of the imbalance indices the weight of which is the proportion of the traffic volume of each traffic route in the total traffic volume of the traffic direction to which it belongs. For example, if the traffic volume of the three traffic routes under the traffic direction "South" at the intersection is 1/3 of the total traffic flow in the traffic direction "South", the weights of the first imbalance indices of the three traffic routes are all 1/3.
  • a weighted sum of the second imbalance indices of the traffic directions in which the cross-sections have the same phase signal in one phase period is calculated, and the weighted sum obtained by the calculation is taken as an absolute value and summed to obtain the intersection.
  • the road condition imbalance index; the weight of the second imbalance index is the ratio of the traffic volume corresponding to the traffic direction, and the total traffic volume in the traffic direction of the same phase signal.
  • the phase signal of the traffic flow direction “South” and the traffic flow direction “North” is the same, and the phase signals of the traffic flow direction “East” and the traffic flow direction “West” are the same; the traffic flow direction is "South”.
  • the traffic flow is 1/3 of the total traffic flow (the sum of the traffic flows), and the weight of the second imbalance index of the traffic flow direction “South” is 1/3; the traffic flow direction of the traffic flow is "North”. 2/3 of the total traffic flow (sum of traffic flow), the weight of the second imbalance index of the traffic flow direction "North” is 2/3; based on this, first calculate the traffic flow direction "South” and the traffic flow direction “North”
  • the second imbalance index is weighted and summed.
  • a second imbalance index weighted sum of both the traffic flow direction "East” and the traffic flow direction “West” is calculated.
  • calculate the road condition imbalance index of the intersection as a whole and obtain the value obtained by summing the two weighted sums obtained by the above calculation and taking the absolute value.
  • the overall road condition imbalance index of the three-way intersection can be calculated by calculating the sum of the absolute values of the second imbalance index of each vehicle flow direction in which the phase signals are mutually exclusive in one phase cycle, and obtaining the intersection of the three intersections.
  • Road condition imbalance index it is also possible to weight the traffic flow in each traffic direction of the three-way intersection, and calculate the overall road condition imbalance index of the three-way intersection on the basis of the calculation: the phase signals of the three-way intersection are mutually exclusive in one phase period. a weighted sum of the second imbalance index of each vehicle flow direction, obtaining a road condition imbalance index of the three-way intersection; the weight of the second imbalance index is the ratio of the traffic volume corresponding to the traffic direction to the total traffic volume of the intersection .
  • Step S103 determining whether the road condition imbalance index exceeds a preset road condition imbalance threshold.
  • the step S102 is used to determine the road condition imbalance index of the intersection traffic road condition by combining the road traffic information and the road condition parameter of the intersection.
  • the road condition imbalance index of the intersection traffic road condition obtained according to the above step S102 is passed. Whether the road condition imbalance index exceeds a preset road condition imbalance threshold to determine whether the traffic condition of the intersection is in an unbalanced state, and if so, performing the following step S104 to locate the intersection as the traffic in the traffic network If there is no imbalance, the unbalanced intersection of the road condition; if not, continue to perform the above-mentioned step S101 for the unlocated intersection of the traffic network, and identify the traffic condition of the unrouted intersection in the traffic network.
  • step S104 the road intersection is positioned as an unbalanced intersection where the traffic condition is unbalanced.
  • step S103 determines whether the road condition imbalance index of the intersection exceeds the road condition imbalance threshold, and based on this, the step of the current road condition imbalance index exceeds the road condition imbalance threshold.
  • the port is positioned as an unbalanced intersection where the traffic conditions in the traffic network are unbalanced. Repeating the above steps S101 to 104, all the intersections in the traffic road network in which the traffic condition is in an unbalanced state can be all located.
  • the traffic condition of the intersection can be optimized. Adjusting, specifically by adjusting and adjusting the intersection traffic signal, to optimize the traffic condition of the intersection that has been unbalanced, to improve the traffic efficiency of the intersection, and to restore the traffic condition of the intersection normal. Specifically, it can be implemented as follows:
  • the theoretical phase adjustment time of each phase signal of the 12 transit routes of the intersection in the four traffic directions is calculated respectively, wherein the theoretical phase adjustment time of any one of the intersections is equal to the The product of the difference between the actual travel speed of the upstream section of the traffic route and the actual travel speed of the downstream section and the preset phase adjustment factor.
  • the theoretical phase adjustment time of each phase signal of any transit route of an intersection is calculated by the following formula:
  • i is the current transit route and t is the preset time interval (10 min or 30 min).
  • the theoretical phase adjustment time for the current transit route within 10 minutes The degree of imbalance in the theoretical phase adjustment time of the current transit route within 10 min, with The actual travel speed of the upstream and downstream sections within 10 minutes of the current traffic route, Adjust the coefficient for the phase.
  • the crossroads correspond to the minimum difference between the theoretical phase adjustment time and the actual phase adjustment time of each phase signal.
  • the actual phase adjustment time can be calculated based on a preset phase adjustment model, and the objective function adopted by the phase adjustment model is:
  • n is the number of traffic routes in the traffic direction of the intersection
  • t is a preset time interval (eg, 10 min or 30 min).
  • the traffic volume within 10 minutes is the proportion of the total traffic volume in the direction of the traffic to which it belongs.
  • the theoretical phase adjustment time for the current transit route within a preset time interval For the actual phase adjustment time of each phase signal within 10 min, a single signal period contains at least two phase signals, and s i is a phase signal set that assigns a phase signal to the current traffic path.
  • the objective function satisfies the following constraint: the sum of the theoretical phase adjustment times of the phase signals of the pass route in a single phase period is equal to 0, namely:
  • n is the number of phase signals in a complete phase period (the phase of the phase signal).
  • the artificial intelligence and big data cloud computing platform can be used to learn the functional relationship between the actual phase adjustment time and the degree of imbalance, and the phase adjustment model is trained by using the phase adjustment coefficient in the objective function. , obtaining more accurate phase adjustment coefficients, such as phase adjustment coefficients for different time periods (peak hours, flat peak periods), phase adjustment coefficients for different time periods (working days, non-working days), or for the traffic network.
  • phase adjustment coefficient of different intersections makes the actual phase adjustment time calculated by the objective function of the current phase adjustment coefficient more accurate.
  • the actual travel speed of the upstream section of the traffic flow direction "South" straight traffic route is seriously lower than the actual travel speed of the downstream road section.
  • the actual possible situation is due to the traffic flow in the upstream section of the straight traffic route.
  • the large formation waits in line, which lowers the overall driving speed of the upstream section.
  • the phase information corresponding to the “South” straight-travel route of the traffic flow direction should be adjusted, that is, the proportion of the green light from the south to the north is appropriately increased, and the traffic is released. vehicle.
  • the actual running speed of the downstream road section of the current straight-travel route is seriously lower than the actual running speed of the upstream road section, it may be that the downstream road section of the current straight-travel route is blocked, and the traffic volume of the upstream road section should be reduced at this time. That is: appropriately reduce the proportion of green light from south to north.
  • the traffic condition analysis method provided by the present application may also be implemented based on a pre-established traffic condition analysis platform, such as a big data analysis and calculation platform provided by Facebook Cloud, and the big data analysis and calculation platform is externally provided for Uploading a data uploading interface of the road traffic information, and a traffic condition analysis interface for accessing the actual phase adjustment time of each phase signal of the road intersection, for example, the local traffic management department uses the big data analysis calculation provided by Facebook Cloud
  • the platform may upload the road traffic information of the road intersection in the traffic road network through the data upload interface, and analyze the interface through the traffic road condition An actual phase adjustment time of each phase signal of the road intersection in the traffic network obtained from the big data analysis computing platform access analysis; in addition, the big data analysis computing platform is further configured to actively acquire the road traffic The data acquisition interface for information.
  • the “big data” is There are two ways to obtain the road traffic data: one is to obtain the navigation data of each road intersection in the traffic road network from the third-party map service provider through the data acquisition interface, where the navigation data includes The road traffic information, for example, the navigation data of each road intersection in the traffic road network in the past specific time period is obtained from the map of Gaode, and the geographical location information, moving speed, direction and travel included in the large-scale navigation data are used.
  • the data information such as the line is used as the data basis for analyzing the traffic road conditions of the road intersections in the traffic road network; the second is to receive the road traffic uploaded by the traffic data collection device set by each road intersection in the traffic road network through the data upload interface.
  • Collecting data, the road traffic collecting data including the road traffic information for example, by data uploading
  • the port receives the road traffic collecting data collected by the traditional traffic data collecting equipment such as the video collecting device, the coil, and the microwave detecting device, and analyzes the collected road traffic collecting data as the traffic road condition for each road intersection in the traffic road network. Data basis.
  • the big data analysis and calculation platform provided by Facebook Cloud may be combined with the road intersections in the traffic road network.
  • Corresponding interface protocol of the traffic signal converting the actual phase adjustment time of each phase signal in each road intersection in the traffic road network obtained by the big data analysis and calculation platform into a data flow matching the current interface protocol, and outputting
  • the phase signals of the respective road intersections are adjusted correspondingly at the actual phase adjustment time of each phase signal in each road intersection in the traffic road network, thereby
  • the analysis of the traffic conditions of the road intersections in the traffic road network is more intelligent.
  • the method for analyzing traffic conditions provided by the present application first analyzes the traffic information of the intersections collected in advance when analyzing the traffic conditions of the intersections in the traffic network. Obtaining a road condition parameter that characterizes the traffic condition of the intersection, and further calculating a road condition imbalance index that characterizes the imbalance of the traffic condition at the intersection according to the road condition parameter, and finally, according to the road condition imbalance index, the traffic condition of the intersection The imbalance is analyzed to achieve the location of the unbalanced intersection in the traffic network.
  • the traffic condition analysis method combines the road traffic information and the road condition parameter of the intersection to design a road condition imbalance index analysis system of the intersection, and analyzes the imbalance of the traffic condition at the intersection through a road condition imbalance index analysis system, thereby The analysis of the traffic conditions at the intersection is more refined, and at the same time, a more accurate unbalanced intersection positioning is achieved.
  • the traffic condition analysis device provided by the present application is implemented as follows:
  • a traffic condition analysis method is provided.
  • the present application further provides a traffic condition analysis 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 traffic condition analysis apparatus 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 traffic condition analysis device, including:
  • the road traffic information analysis unit 301 is configured to obtain the road condition parameter of the road intersection according to the acquired road traffic information of the road intersection;
  • a road condition imbalance index determining unit 302 configured to determine, according to the road traffic information and the road condition parameter, a road condition imbalance index of the road intersection traffic road condition;
  • the road condition imbalance index determining unit 303 is configured to determine whether the road condition imbalance index exceeds a preset road condition imbalance threshold, and if so, operate the unbalanced intersection positioning unit 304;
  • the unbalanced intersection positioning unit 304 is configured to position the road intersection as an unbalanced intersection with a traffic road imbalance.
  • the traffic condition analysis device includes:
  • a data fusion unit configured to fuse the road traffic information and the road condition parameter by using a preset data fusion algorithm;
  • the road traffic information and the road condition parameter are road traffic information within a short time granularity before being merged
  • Road condition parameters, after integration, are road traffic information and road condition parameters within a long time granularity;
  • the road traffic information and the road condition parameter in the road condition imbalance index determining unit 302 refer to road traffic information and road condition parameters within a long time granularity after the fusion.
  • the traffic condition analysis device includes:
  • a data optimization unit configured to perform the road traffic information and/or the road condition parameter according to the road traffic information and/or the parameter related to the road network structure of the road intersection included in the road condition parameter optimization.
  • the road condition imbalance index calculation unit 302 includes:
  • a first imbalance index determining subunit configured to determine a first imbalance index of the traffic route according to the road traffic information and the road condition parameter
  • a second imbalance index determining subunit determining a second imbalance index of the traffic direction according to the first imbalance index of the traffic route
  • the road condition imbalance index determining subunit is configured to determine a road condition imbalance index of the road intersection according to the second imbalance index of the traffic direction.
  • the first imbalance index of the transit route is determined according to a difference between an upstream travel speed and a downstream travel speed of the travel route;
  • the upstream traveling speed of the traffic route is obtained by normalizing the actual traveling speed of the upstream road section of the traffic route, and the downstream traveling speed of the traffic route is normalized by the actual traveling speed of the downstream road section of the traffic route Obtained after theization.
  • the actual traveling speed of the upstream section of the traffic route is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the upstream speed is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the actual traveling speed of the downstream section of the transit route is normalized by dividing the actual traveling speed of the downstream section of the transit route by the preset free speed of the transit route to obtain the transit route.
  • the downstream speed is the actual traveling speed of the downstream section of the transit route.
  • the second imbalance index of the traffic direction is determined according to a weighted sum of the first imbalance index of each traffic route in the traffic direction, and the weight is the total traffic flow of the traffic flow of each traffic route in the direction of the traffic flow of the traffic lane.
  • the proportion of the middle is the proportion of the middle.
  • the road condition imbalance index determining subunit includes:
  • a first subunit configured to determine, according to the weighted sum of the second imbalance indices of the respective traffic directions in which the phase signals are the same in one phase period of the road intersection, and the sum of the obtained weighted sums to determine the road intersection
  • the road condition imbalance index of the mouth; the weight of the second imbalance index is the ratio of the traffic volume corresponding to the direction of the traffic flow, and the total traffic volume in the direction of each traffic flow of the same phase signal.
  • the road condition imbalance index determining subunit includes:
  • a second subunit configured to determine a road condition imbalance index of the road intersection according to a sum of absolute values of second imbalance indices of respective traffic directions in which the phase signals are mutually exclusive in one phase period;
  • a third subunit configured to determine a road condition imbalance index of the road intersection according to a weighted sum of a second imbalance index of each vehicle flow direction in which the phase signals are mutually exclusive in one phase period; the second The weight of the imbalance index is the proportion of the traffic volume corresponding to the direction of traffic in the total traffic volume of the road intersection.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the road intersection is located in a traffic road network, and the traffic road network includes at least one road intersection.
  • the road condition imbalance index is The road traffic information analysis unit 301 is operated for an unlocated road intersection among the traffic road networks without exceeding the road condition imbalance threshold.
  • the traffic condition analysis device includes:
  • a theoretical phase adjustment time determining unit configured to determine, according to the road traffic information and/or the road condition parameter, a theoretical phase adjustment time of each phase signal in each traffic direction of the road intersection;
  • the actual phase adjustment time determining unit is configured to determine, according to the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection, the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection The actual phase adjustment time corresponding to the minimum difference;
  • the phase signal adjusting unit is configured to adjust a phase signal of the road intersection according to an actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection determines the actual phase adjustment time corresponding to the minimum difference between the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection
  • the step is implemented based on a preset phase adjustment model
  • phase adjustment coefficient is obtained through phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the traffic condition analysis device is operated based on a pre-established traffic condition analysis platform, and the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the road intersection.
  • a traffic condition analysis interface at an actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • Another method for analyzing traffic conditions is as follows:
  • a traffic condition analysis method is provided.
  • the present application also provides another traffic condition analysis method, which will be described below with reference to the accompanying drawings.
  • FIG. 4 there is shown a process flow diagram of another embodiment of a traffic condition analysis method provided by the present application.
  • This embodiment is similar to the foregoing method embodiment provided by the present application, and the difference between the two is that, in the foregoing method embodiment, the imbalanced positioning is first performed for the road intersection in the traffic network, if the road in the traffic network The intersection is positioned as an unbalanced intersection with unbalanced traffic conditions. On this basis, the traffic conditions for the unbalanced intersection are optimized and adjusted. The phase signal of the unbalanced intersection is adjusted to optimize the traffic condition of the unbalanced intersection. Therefore, the traffic efficiency of the unbalanced intersection is improved, and the traffic condition of the unbalanced intersection can be restored to normal.
  • the phase signal of the road intersection in the traffic road network is directly adjusted, specifically, the process of adjusting the phase signal of the road intersection, and the phase of the unbalanced intersection in the foregoing method embodiment.
  • the process of adjusting the signal is similar. Therefore, for the content of the embodiment, refer to the corresponding description of the adjustment part of the phase signal of the unbalanced intersection in the above method embodiment.
  • the method embodiments described below are merely illustrative.
  • the present application provides another method for analyzing traffic conditions, including:
  • Step S401 obtaining road condition parameters of the road intersection according to the acquired road traffic information of the road intersection;
  • Step S402 combining the road traffic information and the road condition parameter, determining a theoretical phase adjustment time of each phase signal in each traffic direction of the road intersection in the traffic intersection;
  • Step S403 determining, according to the theoretical phase adjustment time of each traffic route in each traffic flow direction of the road intersection, determining that the road intersection corresponds to the minimum difference between the theoretical phase adjustment time and the actual phase adjustment time of each phase signal. Actual phase adjustment time;
  • Step S404 adjusting a phase signal of the road intersection according to an actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the step S401, the step S402, and/or the step S403 are implemented based on a preset phase adjustment model, wherein the phase adjustment coefficient is obtained by phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the traffic condition analysis method is implemented based on a pre-established traffic condition analysis platform, where the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the road intersection.
  • a traffic condition analysis interface at an actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • Another traffic condition analysis device provided by the present application is implemented as follows:
  • FIG. 5 there is shown a schematic diagram of another embodiment of a traffic condition analysis apparatus provided by the present application.
  • the application provides another traffic condition analysis device, including:
  • the road traffic information analysis unit 501 is configured to obtain the road condition parameter of the road intersection according to the acquired road traffic information of the road intersection;
  • the theoretical phase adjustment time determining unit 502 is configured to determine, according to the road traffic information and the road condition parameter, a theoretical phase adjustment time of each phase signal in each traffic direction of the road intersection;
  • the actual phase adjustment time determining unit 503 is configured to determine a theoretical phase adjustment time and an actual phase adjustment time of each phase signal of the road intersection according to a theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection The actual phase adjustment time corresponding to the minimum difference;
  • the phase signal adjusting unit 504 is configured to adjust a phase signal of the road intersection according to an actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the road traffic information analysis unit 501, the theoretical phase adjustment time determining unit 502, and/or the actual phase adjustment time determining unit 503 are implemented based on a preset phase adjustment model; wherein the phase adjustment The coefficient is obtained through phase adjustment model learning training
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the traffic condition analysis device is operated based on a pre-established traffic condition analysis platform, and the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting the road intersection.
  • a traffic condition analysis interface at an actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • An electronic device implementation provided by the present application is as follows:
  • a traffic condition analysis method is provided.
  • the present application further provides an electronic device for implementing the traffic condition analysis method, which will be described below with reference to the accompanying drawings.
  • FIG. 6 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 traffic condition analysis method provided by the present application.
  • This embodiment corresponds to the foregoing embodiment of the traffic road condition analysis method.
  • For the content of the embodiment refer to the traffic provided above.
  • Corresponding description of the embodiment of the road condition analysis method The embodiments described below are merely illustrative.
  • the application provides an electronic device, including:
  • the memory 601 is configured to store computer executable instructions, and the processor 602 is configured to execute the computer executable instructions:
  • the processor 602 is further configured to execute the following computer executable instructions before the execution of the road condition imbalance index instruction of the traffic condition:
  • the road traffic information and the road condition parameter are merged by using a preset data fusion algorithm;
  • the road traffic information and the road condition parameter are road traffic information and road condition parameters within a short time granularity before being merged, and are merged Road traffic information and road condition parameters within a long time granularity;
  • the road traffic information and the road condition parameter in the road condition imbalance index command for determining the road traffic condition of the road intersection combined with the road traffic information and the road condition parameter are road traffic information within a long time granularity after fusion Traffic parameters.
  • the processor 602 is further configured to execute the following computer executable instructions before the execution of the road condition imbalance index instruction of the traffic condition:
  • the determining a road condition imbalance index of the road intersection traffic road condition by combining the road traffic information and the road condition parameter includes:
  • a road condition imbalance index of the road intersection is determined according to a second imbalance index of the traffic flow direction.
  • the first imbalance index of the transit route is determined according to a difference between an upstream travel speed and a downstream travel speed of the travel route;
  • the upstream traveling speed of the traffic route is obtained by normalizing the actual traveling speed of the upstream road section of the traffic route, and the downstream traveling speed of the traffic route is normalized by the actual traveling speed of the downstream road section of the traffic route Obtained after theization.
  • the actual traveling speed of the upstream section of the traffic route is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the upstream speed is normalized by dividing the actual traveling speed of the upstream section of the traffic route by the preset free speed of the traffic route to obtain the traffic route.
  • the actual traveling speed of the downstream section of the transit route is normalized by dividing the actual traveling speed of the downstream section of the transit route by the preset free speed of the transit route to obtain the transit route.
  • the downstream speed is the actual traveling speed of the downstream section of the transit route.
  • the second imbalance index of the traffic direction is determined according to a weighted sum of the first imbalance index of each traffic route in the traffic direction, and the weight is the total traffic flow of the traffic flow of each traffic route in the direction of the traffic flow of the traffic lane.
  • the proportion of the middle is the proportion of the middle.
  • determining the road condition imbalance index of the road intersection according to the second imbalance index of the traffic flow direction is implemented as follows:
  • the weight of the second imbalance index is the ratio of the traffic volume corresponding to the direction of the traffic flow to the total traffic volume in the direction of the traffic of the same phase signal.
  • determining the road condition imbalance index of the road intersection according to the second imbalance index of the traffic flow direction is implemented as follows:
  • the weight of the second imbalance index is The proportion of the traffic flow corresponding to the traffic direction in the total traffic volume of the road intersection.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the road intersection is located in a traffic road network, where the traffic road network includes at least one road intersection, and correspondingly, if the determining whether the road condition imbalance index exceeds a preset road condition imbalance threshold instruction If the result of the execution is no, the road condition information of the road intersection is obtained according to the acquired road traffic information analysis for the unlocated road intersection in the traffic road network.
  • the processor 602 is further configured to execute the following computer executable instructions:
  • the phase signal of the road intersection is adjusted according to the actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the determining, according to the road traffic information and/or the road condition parameter, a theoretical phase adjustment time instruction of each pass signal in each traffic direction of the road intersection, and/or the basis The theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection determines the actual phase adjustment time corresponding to the minimum difference between the theoretical phase adjustment time and the actual phase adjustment time of each phase signal of the road intersection
  • the instruction is executed based on a preset phase adjustment model
  • phase adjustment coefficient is obtained through phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the processor 602 executes the computer executable instruction based on a pre-established traffic condition analysis platform, where the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting The traffic intersection analysis interface of the road intersection at the actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting The traffic intersection analysis interface of the road intersection at the actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted. .
  • Another electronic device implementation provided by the present application is as follows:
  • FIG. 7 there is shown a schematic diagram of another electronic device provided by this embodiment.
  • the electronic device provided by the present application is used to implement the above-mentioned another traffic road condition analysis method provided by the present application. Therefore, the present embodiment corresponds to the foregoing another traffic road condition analysis method embodiment provided by the present application, and the present embodiment is read.
  • the content of the example please refer to the corresponding description of the above another embodiment of the traffic condition analysis method provided by the present application.
  • the embodiments described below are merely illustrative.
  • the application provides another electronic device, including:
  • the memory 701 is configured to store computer executable instructions, and the processor 702 is configured to execute the computer executable instructions:
  • the phase signal of the road intersection is adjusted according to the actual phase adjustment time of each phase signal according to the road intersection.
  • the theoretical route adjustment time of each of the phase signals is determined according to a product of a difference between an actual traveling speed of the upstream section of the traffic route and an actual traveling speed of the downstream section and a phase adjustment coefficient.
  • the road condition information of the road intersection is obtained according to the obtained road traffic information analysis, and the road traffic information and the road condition parameter are combined to determine the traffic flow of the road intersection. Determining, in each direction, the theoretical phase adjustment time command of each phase signal, and/or determining the road intersection in each phase according to the theoretical phase adjustment time of each traffic route in each traffic direction of the road intersection The actual phase adjustment time command corresponding to the minimum difference between the theoretical phase adjustment time of the signal and the actual phase adjustment time is performed based on the preset phase adjustment model;
  • phase adjustment coefficient is obtained through phase adjustment model learning training.
  • the sum of the actual phase adjustment times of the phase signals in the single phase period is equal to zero.
  • the road traffic information includes at least one of: an actual traveling speed of the traveling vehicle among the road intersections, time information corresponding to the actual traveling speed, a name of the city to which the road intersection belongs, and a city to which the road belongs.
  • the identification code, the name of the imported road section, the name of the exit road section, the name of the road intersection, the attributes of the road intersection, the corresponding road node identifier in the electronic map, the road node map number, the map number to which the imported road section belongs, and the import The road segment ID to which the road segment belongs, the frame number to which the exit road segment belongs, the road segment ID to which the exit road segment belongs, the road direction to which the imported road segment belongs, the road direction to which the exit road segment belongs, the entry angle of the imported road segment, the exit angle of the exit road segment, and the geographical area to which the exit segment belongs.
  • the road condition parameter includes at least one of: an actual running speed of an upstream road section of each traffic route in each traffic direction of the road intersection, a real traveling speed of the downstream road section, a short time granularity to which the actual traveling speed belongs, The driving direction of the vehicle corresponding to the traffic route, the short-time granularity corresponding to the working day/non-working day, the total traffic volume of the working day of the traffic route, and the total traffic volume of the non-working day of the traffic route; wherein the driving direction of the vehicle includes: left turn, right turn Go straight and turn around.
  • the processor 702 executes the computer executable instruction based on a pre-established traffic condition analysis platform, where the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting The traffic intersection analysis interface of the road intersection at the actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the traffic condition analysis platform is provided with a data acquisition interface for acquiring the road traffic information, for accessing and outputting The traffic intersection analysis interface of the road intersection at the actual phase adjustment time of each phase signal, and/or a data upload interface for uploading the road traffic information.
  • the road traffic information is obtained by using at least one of the following methods:
  • the traffic condition analysis platform combines the interface protocol corresponding to the traffic signal set by the road intersection, and according to the actual phase adjustment time of each phase signal output by the road intersection outputted by the traffic road condition analysis interface, The phase signal of the road intersection is adjusted.
  • 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.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

本申请公开了一种交通路况分析方法、装置及电子设备，其中，所述方法包括：根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。所述交通路况分析方法，结合道路交叉口的道路交通信息和路况参数设计道路交叉口的路况失衡指数分析体系，通过路况失衡指数分析体系分析道路交叉口交通路况的失衡情况，从而使道路交叉口交通路况的分析更加精细化，同时实现了更加准确的失衡路口定位。

Description

交通路况分析方法、装置及电子设备
本申请要求2017年02月15日递交的申请号为201710081074.6、发明名称为“交通路况分析方法、装置及电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及智能交通领域，具体涉及一种交通路况分析方法。本申请同时涉及一种交通路况分析装置，另一种交通路况分析方法以及装置，以及两种电子设备。
背景技术
随着经济的高速发展和生活水平的不断提高，机动车的保有量迅速增加，其中尤以私家车为主不断的涌入有限的城市交通路网，给城市交通路网带来了巨大的压力，尤其是给城市交通路网中的道路交叉口带来了许多问题。道路交叉口作为两条或两条以上的道路相交处，是车辆与行人汇集、转向和疏散的必经之地，是城市交通路网的咽喉，如果道路交叉口的交通信号控制不合理，很可能会导致过往车辆会频繁遇到红灯，导致时间延误和燃油浪费，同时会加重空气和噪声污染，甚至可能会使驾驶员心情烦躁，从而引发交通事故，因此对道路交叉口的道路交通控制显得尤为重要。
目前，在采集交通路网当中道路交叉口的路况信息时，根据道路交叉口的实际情形，通过将固定的视频探头、线圈、微波等传统数据采集设备分散在交通路网中，来采集交通路网中各路段的路况信息，但由于传统数据采集设备的投入成本和维护成本比较高，因此在交通路网中投放的密度比较低，导致采集到的路况信息的数据缺失率比较高；同时，由于固定线圈或者视频探头等传统数据采集设备只能采集到局部有限的区域，有相当多的采集盲区，使采集获得的样本数据有一定的随机性。基于此，现有技术在根据传统数据采集设备采集到的路况信息，对交通路网中各路段的路况交通分析、车流演变趋势估计的能力比较弱；同时，现有技术在根据路况交通的分析结果以及车流趋势的估计结果对交通路网中各路段的交通信号进行相应调整时的准确度较低，对交通路网中各路段的路况交通分析具有一定的局限性。
发明内容
本申请提供一种交通路况分析方法，以解决现有技术存在局限性的缺陷。本申请另 外提供一种交通路况分析装置，另一种交通路况分析方法以及装置，以及两种电子设备。
本申请提供一种交通路况分析方法，包括：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤执行前，执行下述步骤：
采用预设的数据融合算法对所述道路交通信息和所述路况参数进行融合；所述道路交通信息和所述路况参数在融合前为短时间粒度内的道路交通信息和路况参数，融合后为长时间粒度内的道路交通信息和路况参数；
相应的，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤中的道路交通信息和路况参数是指融合后长时间粒度内的道路交通信息和路况参数。
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤执行前，执行下述步骤：
根据所述道路交通信息和/或所述路况参数中包含的与所述道路交叉口的路网结构相关的参数，对所述道路交通信息和/或所述路况参数进行优化。
可选的，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数，包括：
根据所述道路交通信息和所述路况参数确定所述通行路线的第一失衡指数；
根据所述通行路线的第一失衡指数确定所述车流方向的第二失衡指数；
根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数。
可选的，所述通行路线的第一失衡指数，根据所述通行路线的上游行驶速度与下游行驶速度二者的差值确定；
其中，所述通行路线的上游行驶速度由所述通行路线上游路段的实际行驶速度经归一化之后获得，所述通行路线的下游行驶速度由所述通行路线下游路段的实际行驶速度 经归一化之后获得。
可选的，所述通行路线上游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线上游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的上游行驶速度。
可选的，所述通行路线下游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线下游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的下游行驶速度。
可选的，所述车流方向的第二失衡指数，根据所述车流方向下各通行路线的第一失衡指数的加权和确定，权重为各通行路线的车流量在其所属车流方向的总车流量当中的占比。
可选的，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
根据所述道路交叉口在一个相位周期内相位信号相同的各车流方向的第二失衡指数加权和，并结合获得的加权和取绝对值之和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量，在同相位信号各车流方向的总车流量当中的占比。
可选的，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的绝对值之和，确定所述道路交叉口的路况失衡指数；
或者，根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的加权和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量在所述道路交叉口的总车流量当中的占比。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述道路交叉口位于交通路网当中，所述交通路网中包含至少一个道路交叉口，相应的，若所述判断所述路况失衡指数是否超出预先设置的路况失衡阈值步骤的判断结果为否，针对所述交通路网当中的未定位的道路交叉口，返回执行所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤。
可选的，所述将所述道路交叉口定位为交通路况失衡的失衡路口步骤执行后，执行下述步骤：
根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间步骤，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间步骤，基于预先设置的相位调整模型实现；
其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述交通路况分析方法基于预先建立的交通路况分析平台实现，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所 述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请还提供一种交通路况分析装置，包括：
道路交通信息分析单元，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
路况失衡指数确定单元，用于结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
路况失衡指数判断单元，用于判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，运行失衡路口定位单元；
所述失衡路口定位单元，用于将所述道路交叉口定位为交通路况失衡的失衡路口。
可选的，所述交通路况分析装置，包括：
理论相位调整时间确定单元，用于根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
实际相位调整时间确定单元，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
相位信号调整单元，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
本申请另外提供一种交通路况分析方法，包括：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤，所述结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间步骤，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间步骤，基于预先设置的相位调整模型实现；
其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述交通路况分析方法基于预先建立的交通路况分析平台实现，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所 述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请另外提供一种交通路况分析装置，包括：
道路交通信息分析单元，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
理论相位调整时间确定单元，用于结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
实际相位调整时间确定单元，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
相位信号调整单元，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
本申请还提供一种电子设备，包括：
存储器，以及处理器；
所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。
本申请另外提供一种电子设备，包括：
存储器，以及处理器；
所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
本申请提供的所述交通路况分析方法，包括：根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。
本申请提供的所述交通路况分析方法，在对所述道路交叉口的交通路况进行分析时，首先对预先采集到的所述道路交叉口的道路交通信息进行分析，从而获得表征所述道路交叉口交通路况的路况参数，并结合预先采集到的所述道路交叉口的道路交通信息分析获得所述路况参数，确定表征所述道路交叉口交通路况失衡情况的路况失衡指数，最后根据获得的所述路况失衡指数对所述道路交叉口交通路况的失衡情况进行分析，实现对失衡路口的定位。所述交通路况分析方法，结合道路交叉口的道路交通信息和路况参数设计道路交叉口的路况失衡指数分析体系，通过路况失衡指数分析体系分析道路交叉口交通路况的失衡情况，从而使道路交叉口交通路况的分析更加精细化，同时实现了更加准确的失衡路口定位。
附图说明
附图1是本申请提供的一种交通路况分析方法实施例的处理流程图；
附图2是本申请提供的一种道路交叉口的示意图；
附图3是本申请提供的一种交通路况分析装置实施例的示意图；
附图4是本申请提供的另一种交通路况分析方法实施例的处理流程图；
附图5是本申请提供的另一种交通路况分析装置实施例的示意图；
附图6是本申请提供的一种电子设备实施例的示意图；
附图7是本申请提供的另一种电子设备实施例的示意图。
具体实施方式
在下面的描述中阐述了很多具体细节以便于充分理解本申请。但是本申请能够以很多不同于在此描述的其它方式来实施，本领域技术人员可以在不违背本申请内涵的情况下做类似推广，因此本申请不受下面公开的具体实施的限制。
本申请提供一种交通路况分析方法，本申请另外提供一种交通路况分析装置，另一种交通路况分析方法以及装置，以及两种电子设备。以下分别结合本申请提供的实施例的附图逐一进行详细说明，并且对方法的各个步骤进行说明。
本申请提供的交通路况分析方法实施例如下：
参照附图1，其示出了本申请提供的一种交通路况分析方法实施例的处理流程图，参照附图2，其示出了本申请提供的一种道路交叉口的示意图。
步骤S101，根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数。
本申请实施例所述道路交叉口是指两条或两条以上的道路相交处，如常见的十字路口、丁字路口、三岔路口以及环形交叉口。所述道路交叉口位于交通路网当中，所述交通路网可以是实际当中包含至少一个道路交叉口的地理区域，或者是包含一个或者多个道路交叉口的道路。本申请提供的所述交通路况分析方法，正是针对所述交通路网中道路交叉口的交通路况进行分析，从而确定所述交通路网中道路交叉口的拥堵程度，即所述交通路网中道路交叉口的交通路况的失衡情况，并且，可在此基础上进一步对所述交通路网中道路交叉口的相位信号进行调整，实现对所述道路交叉口交通路况的优化，提高所述道路交叉口的通行效率，降低甚至是消除所述交通路网中道路交叉口的拥堵。
本实施例中，如附图2所示，以十字路口为例，对所述十字路口的交通路况进行分析。该十字路口包含东、南、西、北4个车流方向，每个车流方向的进口方向可看作是当前车流方向的上游路段，与上游路段相对的出口方向可看作是当前车流方向的下游路段。进一步，每个车流方向下存在3条通行线路，以车流方向“南”为例，中间的一条通行线路为直行通行线路，从车流方向“南”的上游路段驶向下游路段；右侧的一条通行线路为右转通行线路，从车流方向“南”的上游路段驶向车流方向“东”的下游路段； 左侧的一条通行线路为左转通行线路，从车流方向“南”的上游路段驶向车流方向“西”的下游路段。以此类推，每个车流方向下存在3条通行线路，十字路口总共有12条通行线路。
所述十字路口的道路交通信息，是指在所述十字路口各方向进口路段和出口路段上行驶车辆的原始信息，以及与所述十字路口相关的信息，比如所述十字路口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述十字路口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、十字路口的名称、十字路口的属性(是否为综合交叉口)、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域等。
在实际应用中，很多出行者的终端设备通过移动互联网实时向云端传送自己的地理位置信息、移动速度和方向，此外，还有许多出行者通过访问在线地图平台获得导航信息，导航信息中包含有地理位置信息、出行线路，这些地理位置信息、移动速度、方向和出行线路均可作为相应路段上的道路交通信息；同时，由于移动终端设备的广泛普及，通过上述方式实现道路交通信息的采集，在时间维度上能够覆盖所述交通路网的时段较为密集，在空间维度上能够覆盖所述交通路网中路段的位置同样更加密集，从而在时间维度和空间维度实现无盲区采集所述交通路网的道路交通信息。
所述路况参数，用于表征所述十字路口交通状况以及与所述十字路口相关的信息，本实施例所述路况参数包括下述参数当中的一项或者多项：所述十字路口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
在具体实施时，可针对所述道路交通信息设置相应的数据结构，设置的数据结构当中包含所述道路交通信息的各项参数；类似的，还可以针对所述路况参数也设置相应的数据结构，并且在设置的数据结构当中包含所述路况参数的各项参数。
本步骤中，根据获取到的所述十字路口的道路交通信息，通过分析获得用于表征所述十字路口交通路况的路况参数。如附图2所示的十字路口，车流方向“南”直行通行路线上游路段的实际行驶速度低于下游路段的实际行驶速度，实际可能的情形是由于直 行通行路线上游路段车流量过大形成排队等待，这种情况是，是否将当前十字路口定位为交通路况失衡的失衡路口，还需要结合下述步骤进行进一步的计算和验证。
在实际应用中，上述获取到的所述十字路口的道路交通信息，以及通过分析获得的所述十字路口的路况参数，往往是表征所述十字路口在某一时刻或者某一较小时间段内的交通路况，因此，在本步骤根据获取到的所述十字路口的道路交通信息分析所述十字路口的路况参数执行后，还可以执行下述数据融合操作，通过所述数据融合操作将所述道路交通信息和所述路况参数融合成能够反应交通规律的道路交通信息和路况参数，比如道路交通信息和路况参数在融合前表征的是十字路口在2min内的交通路况，融合后表征的是十字路口在10min或30min内的交通路况。所述数据融合操作具体实现如下：
采用预设的数据融合算法对所述道路交通信息和所述路况参数进行融合；所述道路交通信息和所述路况参数在融合前为短时间粒度内的道路交通信息和路况参数，融合后为长时间粒度内的道路交通信息和路况参数；相应的，下述步骤涉及到的所述道路交通信息和所述路况参数，是指融合后长时间粒度内的道路交通信息和路况参数。
以所述道路交通信息和所述路况参数中包含的实际行驶速度，以及所述路况参数中包含的车流量为例，对所述数据融合算法进行说明：所述长时间粒度内路况参数中包含的实际行驶速度，等于所述长时间粒度覆盖的各短时间粒度内路况参数中包含的实际行驶速度的平均值。除此之外，还可以在考虑所述短时间粒度对应的时间权重的基础上，结合时间权重计算所述长时间粒度内路况参数中包含的实际行驶速度。所述长时间粒度内路况参数中包含的车流量，等于所述长时间粒度覆盖的各短时间粒度内路况参数中包含的车流量之和。
与之相类似，所述道路交通信息和所述路况参数包含的其他参数，也可以采用所述数据融合算法进行融合，不同参数在采用所述数据融合算法进行融合时，根据所述数据融合算法中包含的相应算法进行融合计算。
在具体实施时，在本步骤根据获取到的所述十字路口的道路交通信息分析获得所述十字路口的路况参数执行后，还可以执行下述数据优化操作，通过所述数据优化操作剔除所述十字路口实际路网结构对所述道路交通信息和所述路况参数的影响。例如，受实际地理环境的影响，某十字路口的车流方向“南”设置有4条车道：1条左转、2条直行、1条右转，但该十字路口的车流方向“北”设置有3条车道：1条左转、1条直行、1条右转，因此，车流方向“南”的2条直行车道的车流涌入车流方向“北”的1条直行车道，势必会造成车流方向“北”的1条直行车道的车流量过大，但在实际当中，这 种情形是被允许的，为了降低这种由于实际地理环境限制对下述交通路况分析过程的影响，需要通过数据优化操作，采用预设优化系数对车流方向“北”的1条直行车道的车流量进行一定程度的优化，使其处于一个合理的数值范围内。
在具体实施时，还可以针对所述十字路口的道路交通信息执行所述数据优化操作，通过所述数据优化操作对所述道路交通信息中包含的一项或者多项参数进行优化；除此之外，还可以针对所述道路交通信息和所述路况参数二者同时执行所述数据优化操作，对所述道路交通信息和所述路况参数中包含的一项或者多项参数进行优化。
步骤S102，结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数。
上述步骤S101根据获取到的所述十字路口的道路交通信息分析获得用于表征所述十字路口交通路况的路况参数，本步骤中，结合所述十字路口的道路交通信息和路况参数，确定所述十字路口交通路况的路况失衡指数。具体实现如下：
1)根据所述道路交通信息和所述路况参数确定所述通行路线的第一失衡指数；
本实施例中，分别计算所述十字路口在4个车流方向下12个通行路线各自的第一失衡指数，其中，所述十字路口的任意一个通行路线的第一失衡指数，等于该通行路线的上游行驶速度与下游行驶速度二者的差值；其中，该通行路线的上游行驶速度由该通行路线上游路段的实际行驶速度经归一化之后获得，该通行路线的下游行驶速度由该通行路线下游路段的实际行驶速度经归一化之后获得。
在具体实施时，该通行路线上游路段的实际行驶速度可采用如下方式进行归一化：将该通行路线上游路段的实际行驶速度除以该通行路线预设的自由速度(无拥堵状态/正常情况下车辆通过该通行路线的行驶速度，或者通过该通行路线被允许的最大行驶速度)，获得该通行路线的上游行驶速度。类似的，该通行路线下游路段的实际行驶速度可采用如下方式进行归一化：将该通行路线下游路段的实际行驶速度除以该通行路线预设的自由速度，获得该通行路线的下游行驶速度。
2)根据所述通行路线的第一失衡指数确定所述车流方向的第二失衡指数；
本实施例中，分别计算所述十字路口的4个车流方向的第二失衡指数，其中，所述十字路口的任意一个车流方向的第二失衡指数，等于该车流方向下各通行路线的第一失衡指数的加权和，权重为各通行路线的车流量在其所属车流方向的总车流量当中的占比。例如，十字路口的车流方向“南”下的3条通行路线的车流量均为车流方向“南”的总车流量的1/3，则这3条通行路线的第一失衡指数的权重均为1/3。
3)根据所述车流方向的第二失衡指数计算所述十字路口的路况失衡指数。
本实施例中，计算所述十字路口在一个相位周期内相位信号相同的各车流方向的第二失衡指数加权和，并将计算获得的加权和取绝对值后求和，获得所述十字路口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量，在同相位信号各车流方向的总车流量当中的占比。
例如，十字路口在一个相位周期内，车流方向“南”和车流方向“北”的相位信号是相同的，车流方向“东”和车流方向“西”的相位信号是相同的；车流方向“南”的车流量为二者总车流量(车流量之和)的1/3，则车流方向“南”的第二失衡指数的权重为1/3；车流方向“北”的车流量为二者总车流量(车流量之和)的2/3，则车流方向“北”的第二失衡指数的权重为2/3；基于此，首先计算车流方向“南”和车流方向“北”二者的第二失衡指数加权和。类似的，计算车流方向“东”和车流方向“西”二者的第二失衡指数加权和。在此基础上，计算十字路口整体的路况失衡指数，为上述计算获得的两个加权和取绝对值后求和获得的数值。
在实际当中，还存在三岔路口这样较为特殊的路口，并且三岔路口一个相位周期内各车流方向的相位信号互不相同，针对类似三岔路口这种相位周期内不存在相同相位信号的车流方向，三岔路口整体的路况失衡指数可采用如下方式计算获得：计算三岔路口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的绝对值之和，获得三岔路口的路况失衡指数。除此之外，还可以将三岔路口各车流方向的车流量进行加权，在此基础上计算三岔路口整体的路况失衡指数：计算所述三岔路口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的加权和，获得三岔路口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量在所述十字路口的总车流量当中的占比。
步骤S103，判断所述路况失衡指数是否超出预先设置的路况失衡阈值。
上述步骤S102结合所述十字路口的道路交通信息和路况参数，确定所述十字路口交通路况的路况失衡指数，本步骤中，根据上述步骤S102获得的所述十字路口交通路况的路况失衡指数，通过所述路况失衡指数是否超出预先设置的路况失衡阈值，来判断所述十字路口的交通路况是否处于失衡状态，若是，执行下述步骤S104，将所述十字路口定位为所述交通路网当中交通路况失衡的失衡路口；若否，则继续针对所述交通路网当中未定位的路口，返回执行上述步骤S101，对交通路网当中未定位的路口的交通路况进行识别。
步骤S104，将所述道路交叉口定位为交通路况失衡的失衡路口。
本步骤得以实施的前提是上述步骤S103判断所述十字路口的路况失衡指数是否超出所述路况失衡阈值的判断结果为是，基于此，本步骤将当前路况失衡指数超出所述路况失衡阈值的十字路口，定位为所述交通路网当中交通路况失衡的失衡路口。重复执行上述步骤S101至步骤104，可将所述交通路网当中交通路况处于失衡状态的所有路口全部定位出来。
在具体实施时，在上述步骤S101至步骤S104执行的基础上，即：将所述交通路网当中交通路况处于失衡状态的十字路口定位出来之后，还可以对所述十字路口的交通路况进行优化调整，具体通过对所述十字路口交通信号灯的控制调整，来实现对所述十字路口已经失衡的交通路况的优化调整，提升所述十字路口的通行效率，使所述十字路口的交通路况能恢复正常。具体可采用如下方式实现：
1)根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
本实施例中，分别计算所述十字路口在4个车流方向下12个通行路线在各相位信号的理论相位调整时间，其中，所述十字路口的任意一个通行路线的理论相位调整时间，等于该通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与预设相位调整系数的乘积。例如，通过下述公式计算十字路口的任一通行路线的在各相位信号的理论相位调整时间：
Figure PCTCN2018075050-appb-000001
Figure PCTCN2018075050-appb-000002
Figure PCTCN2018075050-appb-000003
Figure PCTCN2018075050-appb-000004
其中，i为当前通行路线，t为预设时间区间(10min或30min)，
Figure PCTCN2018075050-appb-000005
为当前通行路线在10min内的理论相位调整时间，
Figure PCTCN2018075050-appb-000006
为当前通行路线的理论相位调整时间在10min内的失衡程度，
Figure PCTCN2018075050-appb-000007
和
Figure PCTCN2018075050-appb-000008
为当前通行路线在10min内上游路段和下游路段的实际行驶速度，
Figure PCTCN2018075050-appb-000009
为相位调整系数。
2)根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
在具体实施时，当前根据所述十字路口各车流方向下各通行路线的理论相位调整时间，确定所述十字路口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间，可基于预先设置的相位调整模型来计算实际相位调整时间，所述相位调整模型采用的目标函数为：
Figure PCTCN2018075050-appb-000010
其中，n为所述十字路口的车流方向下通行路线的数目，t为预设时间区间(如10min或30min)，
Figure PCTCN2018075050-appb-000011
为当前通行路线在10min内的车流量在其所属车流方向的总车流量当中的占比，
Figure PCTCN2018075050-appb-000012
为当前通行路线在预设时间区间内的理论相位调整时间，
Figure PCTCN2018075050-appb-000013
为各相位信号在10min内的实际相位调整时间，单个信号周期内包含至少两个相位信号，s i为给当前通行路线分配相位信号的相位信号集合。
并且，所述目标函数要满足如下约束条件：所述通行路线在单个相位周期内各相位信号的理论相位调整时间之和等于0，即：
Figure PCTCN2018075050-appb-000014
其中，m为一个完整相位周期内的相位信号的数目(相位信号的阶段)。
需要说明的是，在实际应用中，可利用人工智能和大数据云计算平台学习实际相位调整时间与失衡程度之间的函数关系，对所述相位调整模型采用目标函数当中的相位调整系数进行训练，获得更加精准的相位调整系数，比如针对不同时段(高峰时段、平峰时段)的相位调整系数、针对不同时间段(工作日、非工作日)的相位调整系数，或者针对所述交通路网中不同路口的相位调整系数，在此基础上，使采用当前相位调整系数的目标函数计算获得的实际相位调整时间更加的精准。
3)根据所述十字路口在各相位信号的实际相位调整时间对所述十字路口的相位信号进行调整。
根据上述步骤2)获得的所述十字路口在各个相位的实际相位调整时间，对所述十字路口的交通信号灯的相位信号进行调整，从而在所述十字路口的交通信号灯的相位周期不变的情况下，使所述十字路口在相位周期内各相位信号的时长达到最优，这种最优的相位信号配置使所述十字路口的通行效率达到最优，从而使所述十字路口的交通路况达到均衡。
例如，如附图2所示的十字路口，车流方向“南”直行通行路线上游路段的实际行驶速度严重低于下游路段的实际行驶速度，实际可能的情形是由于直行通行路线上游路 段车流量过大形成排队等待，拉低了上游路段整体的行驶速度，这种情况下，应该调整车流方向“南”直行通行路线对应的相位信息，即：适当增加从南驶向北的绿灯比例，放行拥堵车辆。类似的，如果当前直行通行路线出现下游路段的实际行驶速度严重低于上游路段的实际行驶速度的情况，可能是由于当前直行通行路线的下游路段遇堵，此时应该减少上游路段进入车流量，即：适当降低从南驶向北的绿灯比例。
在实际应用中，本申请提供的所述交通路况分析方法还可以基于预先建立的交通路况分析平台实现，比如基于阿里云提供的大数据分析计算平台，所述大数据分析计算平台对外提供用于上传所述道路交通信息的数据上传接口，以及用于访问所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，比如地方交通管理部门在使用阿里云提供的大数据分析计算平台对其辖区内的交通路网中道路交叉口的交通路况进行分析时，可通过所述数据上传接口上传所述交通路网中道路交叉口的道路交通信息，并通过所述交通路况分析接口从所述大数据分析计算平台访问分析获得的所述交通路网中道路交叉口在各相位信号的实际相位调整时间；此外，所述大数据分析计算平台还设置有用于主动获取所述道路交通信息的数据获取接口。
在基于阿里云提供的所述大数据分析计算平台的基础上，可结合大数据对所述交通路网中道路交叉口的交通路况做出更加精准的分析，具体的，所述“大数据”(即道路交通数据)的获取途径有以下两种：一是通过所述数据获取接口从第三方地图服务商获取所述交通路网中各道路交叉口的导航数据，所述导航数据中包含所述道路交通信息，例如，从高德地图获取交通路网中各道路交叉口在过去特定时间段内的导航数据，将这些大批量的导航数据中包含的地理位置信息、移动速度、方向和出行线路等数据信息作为针对交通路网中各道路交叉口的交通路况进行分析的数据依据；二是通过所述数据上传接口接收交通路网中各道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息，例如，通过数据上传接口接收视频采集设备、线圈、微波探测设备等传统的交通数据采集设备采集到的道路交通采集数据，将采集到的道路交通采集数据作为针对交通路网中各道路交叉口的交通路况进行分析的数据依据。
此外，在上述基于阿里云提供的所述大数据分析计算平台对所述交通路网中各道路交叉口的交通路况进行分析的基础上，还可以结合所述交通路网中各道路交叉口设置的交通信号灯对应的接口协议，将所述大数据分析计算平台分析获得的所述交通路网中各道路交叉口在各相位信号的实际相位调整时间转化为与当前接口协议匹配的数据流，输 出至所述交通路网中各道路交叉口设置的交通信号灯，利用所述交通路网中各道路交叉口在各相位信号的实际相位调整时间对相应道路交叉口的相位信号进行相应调整，从而使针对所述交通路网中各道路交叉口交通路况的分析更加智能化。
综上所述，本申请提供的所述交通路况分析方法，在对所述交通路网当中的十字路口的交通路况进行分析时，首先对预先采集到的所述十字路口的道路交通信息进行分析，获得表征所述十字路口交通路况的路况参数，并结合所述路况参数进一步计算表征所述十字路口交通路况失衡情况的路况失衡指数，最后根据所述路况失衡指数对所述十字路口交通路况的失衡情况进行分析，从而实现对所述交通路网当中失衡路口的定位。所述交通路况分析方法，结合所述十字路口的道路交通信息和路况参数设计所述十字路口的路况失衡指数分析体系，通过路况失衡指数分析体系分析所述十字路口交通路况的失衡情况，从而使所述十字路口交通路况的分析更加精细化，同时实现了更加准确的失衡路口定位。
本申请提供的一种交通路况分析装置实施例如下：
在上述的实施例中，提供了一种交通路况分析方法，与之相对应的，本申请还提供了一种交通路况分析装置，下面结合附图进行说明。
参照附图3，其示出了本申请提供的一种交通路况分析装置实施例的示意图。
由于装置实施例与上述提供的方法实施例相互对应，阅读本实施例的内容请参照上述方法实施例的对应说明。下述描述的装置实施例仅仅是示意性的。
本申请提供一种交通路况分析装置，包括：
道路交通信息分析单元301，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
路况失衡指数确定单元302，用于结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
路况失衡指数判断单元303，用于判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，运行失衡路口定位单元304；
所述失衡路口定位单元304，用于将所述道路交叉口定位为交通路况失衡的失衡路口。
可选的，所述交通路况分析装置，包括：
数据融合单元，用于采用预设的数据融合算法对所述道路交通信息和所述路况参数进行融合；所述道路交通信息和所述路况参数在融合前为短时间粒度内的道路交通信息和路况参数，融合后为长时间粒度内的道路交通信息和路况参数；
相应的，所述路况失衡指数确定单元302中的道路交通信息和路况参数是指融合后长时间粒度内的道路交通信息和路况参数。
可选的，所述交通路况分析装置，包括：
数据优化单元，用于根据所述道路交通信息和/或所述路况参数中包含的与所述道路交叉口的路网结构相关的参数，对所述道路交通信息和/或所述路况参数进行优化。
可选的，所述路况失衡指数计算单元302，包括：
第一失衡指数确定子单元，用于根据所述道路交通信息和所述路况参数确定所述通行路线的第一失衡指数；
第二失衡指数确定子单元，根据所述通行路线的第一失衡指数确定所述车流方向的第二失衡指数；
路况失衡指数确定子单元，用于根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数。
可选的，所述通行路线的第一失衡指数，根据所述通行路线的上游行驶速度与下游行驶速度二者的差值确定；
其中，所述通行路线的上游行驶速度由所述通行路线上游路段的实际行驶速度经归一化之后获得，所述通行路线的下游行驶速度由所述通行路线下游路段的实际行驶速度经归一化之后获得。
可选的，所述通行路线上游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线上游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的上游行驶速度。
可选的，所述通行路线下游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线下游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的下游行驶速度。
可选的，所述车流方向的第二失衡指数，根据所述车流方向下各通行路线的第一失衡指数的加权和确定，权重为各通行路线的车流量在其所属车流方向的总车流量当中的占比。
可选的，所述路况失衡指数确定子单元，包括：
第一子单元，用于根据所述道路交叉口在一个相位周期内相位信号相同的各车流方向的第二失衡指数加权和，并结合获得的加权和取绝对值之和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量，在同相位信号各车流方向的总车流量当中的占比。
可选的，所述路况失衡指数确定子单元，包括：
第二子单元，用于根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的绝对值之和，确定所述道路交叉口的路况失衡指数；
第三子单元，用于根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的加权和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量在所述道路交叉口的总车流量当中的占比。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述道路交叉口位于交通路网当中，所述交通路网中包含至少一个道路交叉口，相应的，若所述路况失衡指数判断单元303输出的判断结果为所述路况失衡指数未超出所述路况失衡阈值，针对所述交通路网当中的未定位的道路交叉口，运行所述道路交通信息分析单元301。
可选的，所述交通路况分析装置，包括：
理论相位调整时间确定单元，用于根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
实际相位调整时间确定单元，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
相位信号调整单元，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间步骤，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间步骤，基于预先设置的相位调整模型实现；
其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述交通路况分析装置基于预先建立的交通路况分析平台运行，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请提供的另一种交通路况分析方法实施例如下：
在上述的实施例中，提供了一种交通路况分析方法，除此之外，本申请还提供另一种交通路况分析方法，下面结合附图进行说明。
参照附图4，其示出了本申请提供的另一种交通路况分析方法实施例的处理流程图。
本实施例与本申请提供的上述方法实施例类似，二者的区别在于：上述方法实施例中，首先针对所述交通路网当中的道路交叉口进行失衡定位，如果所述交通路网当中道路交叉口被定位为交通路况失衡的失衡路口，则在此基础上，针对失衡路口进行的交通路况进行优化调整，具体通过调整所述失衡路口的相位信号实现对所述失衡路口交通路况的优化调整，从而提升所述失衡路口的通行效率，使所述失衡路口的交通路况能恢复正常。本实施例中，直接对所述交通路网中道路交叉口的相位信号进行调整，具体针对所述道路交叉口的相位信号进行调整的过程，与上述方法实施例中对所述失衡路口的相位信号进行调整的过程类似，因此，阅读本实施例的内容请参照上述方法实施例中针对所述失衡路口的相位信号进行调整部分的对应说明。下述描述的方法实施例仅仅是示意性的。
本申请提供另一种交通路况分析方法，包括：
步骤S401，根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
步骤S402，结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
步骤S403，根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
步骤S404，根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述步骤S401、所述步骤S402和/或所述步骤S403，基于预先设置的相位调整模型实现，其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属 性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述交通路况分析方法基于预先建立的交通路况分析平台实现，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请提供的另一种交通路况分析装置实施例如下：
在上述的实施例中，提供了另一种交通路况分析方法，与之相对应的，本申请还提供了另一种交通路况分析装置，下面结合附图进行说明。
参照附图5，其示出了本申请提供的另一种交通路况分析装置实施例的示意图。
由于装置实施例与方法实施例相互对应，阅读本实施例的内容请参照本申请提供的上述另一种交通路况分析方法实施例的对应说明。下述描述的装置实施例仅仅是示意性的。
本申请提供另一种交通路况分析装置，包括：
道路交通信息分析单元501，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
理论相位调整时间确定单元502，用于结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
实际相位调整时间确定单元503，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
相位信号调整单元504，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述道路交通信息分析单元501、所述理论相位调整时间确定单元502和/或所述实际相位调整时间确定单元503，基于预先设置的相位调整模型实现；其中，所述相位调整系数通过相位调整模型学习训练获得
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述交通路况分析装置基于预先建立的交通路况分析平台运行，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所 述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请提供的一种电子设备实施例如下：
在上述的实施例中，提供了一种交通路况分析方法，此外，本申请还提供了一种用于实现所述交通路况分析方法的电子设备，下面结合附图进行说明。
参照附图6，其示出了本实施例提供的一种电子设备的示意图。
本申请提供的所述电子设备用于实现本申请提供的所述交通路况分析方法，本实施例与上述提供的交通路况分析方法实施例相对应，阅读本实施例的内容请参照上述提供的交通路况分析方法实施例的对应说明。下述描述的实施例仅仅是示意性的。
本申请提供一种电子设备，包括：
存储器601，以及处理器602；
所述存储器601用于存储计算机可执行指令，所述处理器602用于执行所述计算机可执行指令：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数指令执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数指令执行前，所述处理器602还用于执行下述计算机可执行指令：
采用预设的数据融合算法对所述道路交通信息和所述路况参数进行融合；所述道路交通信息和所述路况参数在融合前为短时间粒度内的道路交通信息和路况参数，融合后为长时间粒度内的道路交通信息和路况参数；
相应的，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数指令中的道路交通信息和路况参数是指融合后长时间粒度内的道路交通信息和路况参数。
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数指令执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数指令执行前，所述处理器602还用于执行下述计算机可执行指令：
根据所述道路交通信息和/或所述路况参数中包含的与所述道路交叉口的路网结构相关的参数，对所述道路交通信息和/或所述路况参数进行优化。
可选的，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数，包括：
根据所述道路交通信息和所述路况参数确定所述通行路线的第一失衡指数；
根据所述通行路线的第一失衡指数确定所述车流方向的第二失衡指数；
根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数。
可选的，所述通行路线的第一失衡指数，根据所述通行路线的上游行驶速度与下游行驶速度二者的差值确定；
其中，所述通行路线的上游行驶速度由所述通行路线上游路段的实际行驶速度经归一化之后获得，所述通行路线的下游行驶速度由所述通行路线下游路段的实际行驶速度经归一化之后获得。
可选的，所述通行路线上游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线上游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的上游行驶速度。
可选的，所述通行路线下游路段的实际行驶速度采用如下方式进行归一化：将所述通行路线下游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的下游行驶速度。
可选的，所述车流方向的第二失衡指数，根据所述车流方向下各通行路线的第一失衡指数的加权和确定，权重为各通行路线的车流量在其所属车流方向的总车流量当中的占比。
可选的，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
根据所述道路交叉口在一个相位周期内相位信号相同的各车流方向的第二失衡指数加权和，并结合获得的加权和取绝对值之和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量，在同相位信号各车流方向的总车流量当中的占比。
可选的，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的绝对值之和，确定所述道路交叉口的路况失衡指数；
或者，根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的加权和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量在所述道路交叉口的总车流量当中的占比。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述道路交叉口位于交通路网当中，所述交通路网中包含至少一个道路交叉口，相应的，若所述判断所述路况失衡指数是否超出预先设置的路况失衡阈值指令的 执行结果为否，针对所述交通路网当中的未定位的道路交叉口，执行所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数指令。
可选的，所述将所述道路交叉口定位为交通路况失衡的失衡路口指令执行后，所述处理器602还用于执行下述计算机可执行指令：
根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间指令，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间指令，基于预先设置的相位调整模型执行；
其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述处理器602基于预先建立的交通路况分析平台执行所述计算机可执行指令，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。。
本申请提供的另一种电子设备实施例如下：
在上述的实施例中，提供了另一种交通路况分析方法，此外，本申请还提供了另一种用于实现所述交通路况分析方法的电子设备，下面结合附图进行说明。
参照附图7，其示出了本实施例提供的另一种电子设备的示意图。
本申请提供的所述电子设备用于实现本申请提供的上述另一种交通路况分析方法，因此，本实施例与本申请提供的上述另一种交通路况分析方法实施例相对应，阅读本实施例的内容请参照本申请提供的上述另一种交通路况分析方法实施例的对应说明。下述描述的实施例仅仅是示意性的。
本申请提供另一种电子设备，包括：
存储器701，以及处理器702；
所述存储器701用于存储计算机可执行指令，所述处理器702用于执行所述计算机可执行指令：
根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
可选的，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
可选的，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数指令，所述结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间指令，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信 号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间指令，基于预先设置的相位调整模型执行；
其中，所述相位调整系数通过相位调整模型学习训练获得。
可选的，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
可选的，所述道路交通信息包括下述至少一项：所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
可选的，所述路况参数包括下述至少一项：所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
可选的，所述处理器702基于预先建立的交通路况分析平台执行所述计算机可执行指令，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
可选的，所述道路交通信息，采用下述至少一种方式获取：
通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
可选的，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
本申请虽然以较佳实施例公开如上，但其并不是用来限定本申请，任何本领域技术人员在不脱离本申请的精神和范围内，都可以做出可能的变动和修改，因此本申请的保护范围应当以本申请权利要求所界定的范围为准。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括非暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。

Claims (34)

  1. 一种交通路况分析方法，其特征在于，包括：
    根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
    判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。
  2. 根据权利要求1所述的交通路况分析方法，其特征在于，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤执行前，执行下述步骤：
    采用预设的数据融合算法对所述道路交通信息和所述路况参数进行融合；所述道路交通信息和所述路况参数在融合前为短时间粒度内的道路交通信息和路况参数，融合后为长时间粒度内的道路交通信息和路况参数；
    相应的，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤中的道路交通信息和路况参数是指融合后长时间粒度内的道路交通信息和路况参数。
  3. 根据权利要求1所述的交通路况分析方法，其特征在于，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤执行后，且所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数步骤执行前，执行下述步骤：
    根据所述道路交通信息和/或所述路况参数中包含的与所述道路交叉口的路网结构相关的参数，对所述道路交通信息和/或所述路况参数进行优化。
  4. 根据权利要求1所述的交通路况分析方法，其特征在于，所述结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数，包括：
    根据所述道路交通信息和所述路况参数确定通行路线的第一失衡指数；
    根据所述通行路线的第一失衡指数确定车流方向的第二失衡指数；
    根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数。
  5. 根据权利要求4所述的交通路况分析方法，其特征在于，所述通行路线的第一失衡指数，根据所述通行路线的上游行驶速度与下游行驶速度二者的差值确定；
    其中，所述通行路线的上游行驶速度由所述通行路线上游路段的实际行驶速度经归一化之后获得，所述通行路线的下游行驶速度由所述通行路线下游路段的实际行驶速度经归一化之后获得。
  6. 根据权利要求5所述的交通路况分析方法，其特征在于，所述通行路线上游路段的实际行驶速度采用如下方式进行归一化：
    将所述通行路线上游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的上游行驶速度。
  7. 根据权利要求5所述的交通路况分析方法，其特征在于，所述通行路线下游路段的实际行驶速度采用如下方式进行归一化：
    将所述通行路线下游路段的实际行驶速度除以所述通行路线预设的自由速度，获得所述通行路线的下游行驶速度。
  8. 根据权利要求4所述的交通路况分析方法，其特征在于，所述车流方向的第二失衡指数，根据所述车流方向下各通行路线的第一失衡指数的加权和确定，权重为各通行路线的车流量在其所属车流方向的总车流量当中的占比。
  9. 根据权利要求4所述的交通路况分析方法，其特征在于，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
    根据所述道路交叉口在一个相位周期内相位信号相同的各车流方向的第二失衡指数加权和，并结合获得的加权和取绝对值之和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量，在同相位信号各车流方向的总车流量当中的占比。
  10. 根据权利要求4所述的交通路况分析方法，其特征在于，所述根据所述车流方向的第二失衡指数确定所述道路交叉口的路况失衡指数，采用如下方式实现：
    根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的绝对值之和，确定所述道路交叉口的路况失衡指数；
    或者，
    根据所述道路交叉口在一个相位周期内相位信号互斥的各车流方向的第二失衡指数的加权和，确定所述道路交叉口的路况失衡指数；所述第二失衡指数的权重为其对应车流方向的车流量在所述道路交叉口的总车流量当中的占比。
  11. 根据权利要求1所述的交通路况分析方法，其特征在于，所述道路交通信息包括下述至少一项：
    所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
  12. 根据权利要求1所述的交通路况分析方法，其特征在于，所述路况参数包括下述至少一项：
    所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；
    其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
  13. 根据权利要求1至12任意一项所述的交通路况分析方法，其特征在于，所述道路交叉口位于交通路网当中，所述交通路网中包含至少一个道路交叉口，相应的，若所述判断所述路况失衡指数是否超出预先设置的路况失衡阈值步骤的判断结果为否，针对所述交通路网当中的未定位的道路交叉口，返回执行所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤。
  14. 根据权利要求1至12任意一项所述的交通路况分析方法，其特征在于，所述将所述道路交叉口定位为交通路况失衡的失衡路口步骤执行后，执行下述步骤：
    根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
    根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
    根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
  15. 根据权利要求14所述的交通路况分析方法，其特征在于，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
  16. 根据权利要求15所述的交通路况分析方法，其特征在于，所述根据所述道路 交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间步骤，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间步骤，基于预先设置的相位调整模型实现；
    其中，所述相位调整系数通过相位调整模型学习训练获得。
  17. 根据权利要求14所述的交通路况分析方法，其特征在于，所述通行路线在单个相位周期内各相位信号的实际相位调整时间之和等于0。
  18. 根据权利要求14所述的交通路况分析方法，其特征在于，所述交通路况分析方法基于预先建立的交通路况分析平台实现，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
  19. 根据权利要求18所述的交通路况分析方法，其特征在于，所述道路交通信息，采用下述至少一种方式获取：
    通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
    通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
  20. 根据权利要求19所述的交通路况分析方法，其特征在于，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
  21. 一种交通路况分析装置，其特征在于，包括：
    道路交通信息分析单元，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    路况失衡指数确定单元，用于结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
    路况失衡指数判断单元，用于判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，运行失衡路口定位单元；
    所述失衡路口定位单元，用于将所述道路交叉口定位为交通路况失衡的失衡路口。
  22. 根据权利要求21所述的交通路况分析装置，其特征在于，包括：
    理论相位调整时间确定单元，用于根据所述道路交通信息和/或所述路况参数确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
    实际相位调整时间确定单元，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
    相位信号调整单元，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
  23. 一种交通路况分析方法，其特征在于，包括：
    根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
    根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
    根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
  24. 根据权利要求23所述的交通路况分析方法，其特征在于，所述通行路线在各相位信号的理论相位调整时间，根据所述通行路线上游路段的实际行驶速度与下游路段的实际行驶速度之差与相位调整系数的乘积确定。
  25. 根据权利要求24所述的交通路况分析方法，其特征在于，所述根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数步骤，所述结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间步骤，和/或，所述根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间步骤，基于预先设置的相位调整模型实现；
    其中，所述相位调整系数通过相位调整模型学习训练获得。
  26. 根据权利要求23所述的交通路况分析方法，其特征在于，所述通行路线在单 个相位周期内各相位信号的实际相位调整时间之和等于0。
  27. 根据权利要求23所述的交通路况分析方法，其特征在于，所述道路交通信息包括下述至少一项：
    所述道路交叉口当中行驶车辆的实际行驶速度、实际行驶速度对应的时间信息、所述道路交叉口所属城市的名称、所属城市的标识码、进口路段的名称、出口路段的名称、道路交叉口的名称、道路交叉口的属性、在电子地图中对应的道路节点标识、道路节点图幅号、进口路段所属的图幅号、进口路段所属的路段标识、出口路段所属的图幅号、出口路段所属的路段标识、进口路段所属的道路方向、出口路段所属的道路方向、进口路段的进入角度、出口路段的出口角度、所属地理区域。
  28. 根据权利要求27所述的交通路况分析方法，其特征在于，所述路况参数包括下述至少一项：
    所述道路交叉口各车流方向下各通行路线上游路段的实际行驶速度、下游路段的实际行驶速度、实际行驶速度所属的短时间粒度、通行路线对应的车辆行驶方向、短时间粒度对应工作日/非工作日、通行路线工作日总车流量、通行路线非工作日总车流量；
    其中，所述车辆行驶方向包括：左转、右转、直行和掉头。
  29. 根据权利要求23至28任意一项所述的交通路况分析方法，其特征在于，所述交通路况分析方法基于预先建立的交通路况分析平台实现，所述交通路况分析平台设置有用于获取所述道路交通信息的数据获取接口，用于访问以及输出所述道路交叉口在各相位信号的实际相位调整时间的交通路况分析接口，和/或，用于上传所述道路交通信息的数据上传接口。
  30. 根据权利要求29所述的交通路况分析方法，其特征在于，所述道路交通信息，采用下述至少一种方式获取：
    通过所述数据获取接口从第三方地图服务商获取所述道路交叉口的导航数据，所述导航数据中包含所述道路交通信息；
    通过所述数据上传接口接收所述道路交叉口设置的交通数据采集设备上传的道路交通采集数据，所述道路交通采集数据中包含所述道路交通信息。
  31. 根据权利要求30所述的交通路况分析方法，其特征在于，所述交通路况分析平台结合所述道路交叉口设置的交通信号灯对应的接口协议，根据所述交通路况分析接口输出的所述道路交叉口在各相位信号的实际相位调整时间，对所述道路交叉口的相位信号进行调整。
  32. 一种交通路况分析装置，其特征在于，包括：
    道路交通信息分析单元，用于根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    理论相位调整时间确定单元，用于结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
    实际相位调整时间确定单元，用于根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
    相位信号调整单元，用于根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位信号进行调整。
  33. 一种电子设备，其特征在于，包括：
    存储器，以及处理器；
    所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：
    根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    结合所述道路交通信息和所述路况参数确定所述道路交叉口交通路况的路况失衡指数；
    判断所述路况失衡指数是否超出预先设置的路况失衡阈值，若是，将所述道路交叉口定位为交通路况失衡的失衡路口。
  34. 一种电子设备，其特征在于，包括：
    存储器，以及处理器；
    所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：
    根据获取的道路交叉口的道路交通信息分析获得所述道路交叉口的路况参数；
    结合所述道路交通信息和所述路况参数，确定所述道路交叉口各车流方向下各通行路线在各相位信号的理论相位调整时间；
    根据所述道路交叉口各车流方向下各通行路线的理论相位调整时间，确定所述道路交叉口在各相位信号的理论相位调整时间与实际相位调整时间二者差值最小时对应的实际相位调整时间；
    根据所述道路交叉口在各相位信号的实际相位调整时间对所述道路交叉口的相位 信号进行调整。
PCT/CN2018/075050 2017-02-15 2018-02-02 交通路况分析方法、装置及电子设备 WO2018149307A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US16/542,258 US11380195B2 (en) 2017-02-15 2019-08-15 Road traffic analysis methods and apparatuses
US17/646,397 US12014629B2 (en) 2017-02-15 2021-12-29 Road traffic analysis methods and apparatuses

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710081074.6 2017-02-15
CN201710081074.6A CN108428338B (zh) 2017-02-15 2017-02-15 交通路况分析方法、装置以及电子设备

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US16/542,258 Continuation US11380195B2 (en) 2017-02-15 2019-08-15 Road traffic analysis methods and apparatuses

Publications (1)

Publication Number Publication Date
WO2018149307A1 true WO2018149307A1 (zh) 2018-08-23

Family

ID=63155295

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/075050 WO2018149307A1 (zh) 2017-02-15 2018-02-02 交通路况分析方法、装置及电子设备

Country Status (4)

Country Link
US (2) US11380195B2 (zh)
CN (1) CN108428338B (zh)
TW (1) TWI755438B (zh)
WO (1) WO2018149307A1 (zh)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724587A (zh) * 2020-05-27 2020-09-29 重庆大学 一种基于rfid技术的交通流密度参数提取方法
CN111932893A (zh) * 2020-08-25 2020-11-13 上海宝康电子控制工程有限公司 基于信号与电警数据融合技术实现路段状态研判处理的方法
CN112037511A (zh) * 2020-08-28 2020-12-04 浙江浙大中控信息技术有限公司 一种单交叉口信号配时失衡状态的识别方法
CN113077638A (zh) * 2021-03-10 2021-07-06 华录易云科技有限公司 用于车速推荐的方法、装置及设备
CN113744533A (zh) * 2021-09-16 2021-12-03 济南金宇公路产业发展有限公司 一种基于5g的车辆疏导方法及系统
CN114889611A (zh) * 2022-05-25 2022-08-12 重庆长安汽车股份有限公司 基于自学习的路口车道选择的控制系统及方法

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6780461B2 (ja) * 2016-11-14 2020-11-04 いすゞ自動車株式会社 運転支援システム及び運転支援方法
CN108428338B (zh) * 2017-02-15 2021-11-12 阿里巴巴集团控股有限公司 交通路况分析方法、装置以及电子设备
CN109493617A (zh) * 2018-10-29 2019-03-19 沈阳天久信息技术工程有限公司 一种交通信号优化控制方法及装置
CN110223502B (zh) * 2019-05-29 2020-12-04 青岛海信网络科技股份有限公司 一种交叉口进口道数据渠化的方法及装置
CN112542051A (zh) * 2019-09-20 2021-03-23 华为技术有限公司 一种确定路口的启动相位的方法、装置以及设备
US10762540B1 (en) * 2019-10-22 2020-09-01 Capital One Services, Llc Systems and methods for automated trade-in with limited human interaction
US10783792B1 (en) 2019-10-22 2020-09-22 Capital One Services, Llc Systems and methods for automated vehicle tracking for readiness with limited human interaction
CN110807920B (zh) * 2019-10-23 2020-10-30 上海能塔智能科技有限公司 用于车辆驾驶的情绪确定、上报方法及装置、服务器、终端及车辆
CN111311949B (zh) * 2020-02-29 2021-07-16 华南理工大学 一种面向非封闭式协调线网的信号相位相序优化方法
GB2596150B (en) * 2020-06-19 2022-06-15 Imagination Tech Ltd Methods and systems for selecting number formats for deep neural networks based on network sensitivity and quantisation error
CN111986482B (zh) * 2020-08-24 2021-10-01 安徽科力信息产业有限责任公司 一种城市道路交叉口控制效率评价方法、系统及存储介质
CN112598902B (zh) * 2020-12-09 2022-08-16 安徽百诚慧通科技股份有限公司 一种交叉口各转向失衡程度表征方法、装置、电子设备及存储介质
CN112700662B (zh) * 2020-12-17 2021-12-14 江苏长路智造科技有限公司 一种公路交叉口交通预警调节装置和方法
CN115249406B (zh) * 2021-04-28 2024-05-24 阿里巴巴创新公司 路况数据获取方法、装置、电子设备及可读存储介质
CN113506438B (zh) * 2021-06-18 2022-07-05 同济大学 网联自动驾驶混行车流动态控制方法、系统、装置及介质
CN113487864A (zh) * 2021-06-30 2021-10-08 阿波罗智联(北京)科技有限公司 确定路口状态的方法、装置、电子设备和存储介质
CN114333301B (zh) * 2021-12-06 2023-09-26 北京东土正创科技有限公司 交通信号的控制优化方法、系统及交通信号优化设备

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020030327A (ko) * 2000-10-17 2002-04-25 박종서 첨단/전자 교통 신호 제어기
CN202142192U (zh) * 2011-06-16 2012-02-08 上海宝康电子控制工程有限公司 基于视频流量采集的交通信号机自动控制系统
CN102938210A (zh) * 2012-11-12 2013-02-20 浙江大学 利用信号灯控制进入城市区域交通需求的方法
CN103473935A (zh) * 2013-09-03 2013-12-25 青岛海信网络科技股份有限公司 基于感应检测器的路口交通拥堵判定及控制方法和系统
CN103914988A (zh) * 2013-01-04 2014-07-09 中国移动通信集团公司 一种交通路况数据处理方法、装置和系统
CN104778848A (zh) * 2015-04-30 2015-07-15 安徽超远信息技术有限公司 用于道路交叉口车辆协调优化状态的交通信号优化控制方法
CN105551269A (zh) * 2015-12-15 2016-05-04 邹晓虎 智慧城市中的交通信号灯的智能交通控制方法
CN106023590A (zh) * 2016-06-20 2016-10-12 北方工业大学 一种城市道路交叉口内部区域拥堵快速检测方法及系统
CN106327863A (zh) * 2015-07-06 2017-01-11 北京文安智能技术股份有限公司 一种车辆拥堵检测预警方法、装置及系统
CN106355885A (zh) * 2016-11-24 2017-01-25 深圳市永达电子信息股份有限公司 基于大数据分析平台的交通信号动态控制方法及系统

Family Cites Families (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6317058B1 (en) * 1999-09-15 2001-11-13 Jerome H. Lemelson Intelligent traffic control and warning system and method
EP1209643A1 (en) * 2000-11-23 2002-05-29 Telefonaktiebolaget L M Ericsson (Publ) Traffic management system based on packet switching technology
US6647316B2 (en) * 2001-02-22 2003-11-11 Pri Automation, Inc. Traffic management system and method for materials handling using traffic balancing and traffic density
US7586421B2 (en) * 2005-11-18 2009-09-08 Emergency Traffic Systems, Inc. Traffic signal devices and methods of using the same
JP4982143B2 (ja) * 2006-09-27 2012-07-25 クラリオン株式会社 交通状況予測装置
CN101572007A (zh) * 2008-04-30 2009-11-04 奥城同立科技开发（北京）有限公司 对交通信号灯切换方式的优化控制方法
CN101702262B (zh) * 2009-11-06 2011-08-17 北京交通大学 一种城市交通流畅通性指标的数据融合方法
JP5398522B2 (ja) * 2009-12-29 2014-01-29 株式会社東芝 道路交通管制支援情報作成システム
US9014955B2 (en) * 2011-07-20 2015-04-21 Sumitomo Electric Industries, Ltd. Traffic evaluation device non-transitory recording medium and traffic evaluation method
CN102436740A (zh) * 2011-09-29 2012-05-02 东南大学 一种高速公路交通事件自动检测方法
CN102610094A (zh) * 2012-04-05 2012-07-25 郭海锋 一种依据路段有效容量动态协调的交通控制方法
US8736461B2 (en) * 2012-06-25 2014-05-27 National Tsing Hua University Control method of traffic sign by utilizing vehicular network
WO2014160027A1 (en) * 2013-03-13 2014-10-02 Image Sensing Systems, Inc. Roadway sensing systems
US9536427B2 (en) * 2013-03-15 2017-01-03 Carnegie Mellon University Methods and software for managing vehicle priority in a self-organizing traffic control system
US10037689B2 (en) * 2015-03-24 2018-07-31 Donald Warren Taylor Apparatus and system to manage monitored vehicular flow rate
CN103871258B (zh) * 2014-03-07 2016-08-17 北京航空航天大学 一种交叉口防锁死的信号控制方法
CN104183134B (zh) * 2014-08-27 2016-02-10 重庆大学 基于智能分车型的高速公路短时交通流量预测方法
CN104240505B (zh) * 2014-09-11 2021-04-09 胡又宏 一种解读道路交通视频图像信息的方法
JP2016167199A (ja) * 2015-03-10 2016-09-15 住友電気工業株式会社 路側通信装置、及びデータ中継方法
CN104851285B (zh) * 2015-06-08 2017-06-27 成都维普特科技有限公司 一种分转向进行负载统计的路网负载标示方法
CN105070056A (zh) * 2015-07-23 2015-11-18 合肥革绿信息科技有限公司 一种基于浮动车的交叉口交通拥堵指数计算方法
CN104966403A (zh) * 2015-07-23 2015-10-07 合肥革绿信息科技有限公司 一种基于地磁的干线自优化信号控制方法及装置
CN105303850B (zh) * 2015-10-20 2016-05-18 北京长峰金鼎科技有限公司 道路交通路口的交通信号灯的控制方法
US9824580B2 (en) * 2015-12-17 2017-11-21 International Business Machines Corporation Method, computer readable storage medium and system for producing an uncertainty-based traffic congestion index
US9940832B2 (en) * 2016-03-22 2018-04-10 Toyota Jidosha Kabushiki Kaisha Traffic management based on basic safety message data
CN205644974U (zh) * 2016-05-13 2016-10-12 曹莲英 一种智能交通信号系统
US10127812B2 (en) * 2016-08-29 2018-11-13 Allstate Insurance Company Electrical data processing system for monitoring or affecting movement of a vehicle using a traffic device
US10515543B2 (en) * 2016-08-29 2019-12-24 Allstate Insurance Company Electrical data processing system for determining status of traffic device and vehicle movement
US10115305B2 (en) * 2016-09-30 2018-10-30 Nissan North America, Inc. Optimizing autonomous car's driving time and user experience using traffic signal information
US10181263B2 (en) * 2016-11-29 2019-01-15 Here Global B.V. Method, apparatus and computer program product for estimation of road traffic condition using traffic signal data
CN108428338B (zh) * 2017-02-15 2021-11-12 阿里巴巴集团控股有限公司 交通路况分析方法、装置以及电子设备
AU2018274980B2 (en) * 2017-06-12 2020-09-03 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for analyzing and adjusting road conditions
JP2019008394A (ja) * 2017-06-21 2019-01-17 パナソニックＩｐマネジメント株式会社 信号制御装置、信号制御システム、信号制御方法および信号制御プログラム
CN109493620B (zh) * 2017-09-11 2022-05-24 阿里巴巴集团控股有限公司 一种交通路况分析系统、方法以及装置
US10769943B2 (en) * 2017-12-29 2020-09-08 Traffic Synergies, LLC System and apparatus for wireless control and coordination of traffic lights
US20220153273A1 (en) * 2018-05-07 2022-05-19 Emrah Metli Detection of phase and timing of traffic signal lights and driver assistance method and systems
KR102479493B1 (ko) * 2018-08-13 2022-12-20 삼성전자주식회사 자율 주행 차량을 보조하기 위한 방법 및 이를 위한 장치
AU2018274987A1 (en) * 2018-10-16 2020-04-30 Beijing Didi Infinity Technology And Development Co., Ltd. Adaptive traffic control using vehicle trajectory data
US11138879B2 (en) * 2018-11-09 2021-10-05 Toyota Research Institute, Inc. Temporal based road rule changes
US10643465B1 (en) * 2019-11-18 2020-05-05 Iteris, Inc. Dynamic advanced traffic detection from assessment of dilemma zone activity for enhancement of intersection traffic flow and adjustment of timing of signal phase cycles

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020030327A (ko) * 2000-10-17 2002-04-25 박종서 첨단/전자 교통 신호 제어기
CN202142192U (zh) * 2011-06-16 2012-02-08 上海宝康电子控制工程有限公司 基于视频流量采集的交通信号机自动控制系统
CN102938210A (zh) * 2012-11-12 2013-02-20 浙江大学 利用信号灯控制进入城市区域交通需求的方法
CN103914988A (zh) * 2013-01-04 2014-07-09 中国移动通信集团公司 一种交通路况数据处理方法、装置和系统
CN103473935A (zh) * 2013-09-03 2013-12-25 青岛海信网络科技股份有限公司 基于感应检测器的路口交通拥堵判定及控制方法和系统
CN104778848A (zh) * 2015-04-30 2015-07-15 安徽超远信息技术有限公司 用于道路交叉口车辆协调优化状态的交通信号优化控制方法
CN106327863A (zh) * 2015-07-06 2017-01-11 北京文安智能技术股份有限公司 一种车辆拥堵检测预警方法、装置及系统
CN105551269A (zh) * 2015-12-15 2016-05-04 邹晓虎 智慧城市中的交通信号灯的智能交通控制方法
CN106023590A (zh) * 2016-06-20 2016-10-12 北方工业大学 一种城市道路交叉口内部区域拥堵快速检测方法及系统
CN106355885A (zh) * 2016-11-24 2017-01-25 深圳市永达电子信息股份有限公司 基于大数据分析平台的交通信号动态控制方法及系统

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111724587A (zh) * 2020-05-27 2020-09-29 重庆大学 一种基于rfid技术的交通流密度参数提取方法
CN111932893A (zh) * 2020-08-25 2020-11-13 上海宝康电子控制工程有限公司 基于信号与电警数据融合技术实现路段状态研判处理的方法
CN111932893B (zh) * 2020-08-25 2022-07-05 上海宝康电子控制工程有限公司 基于信号与电警数据融合技术实现路段状态研判处理的方法
CN112037511A (zh) * 2020-08-28 2020-12-04 浙江浙大中控信息技术有限公司 一种单交叉口信号配时失衡状态的识别方法
CN113077638A (zh) * 2021-03-10 2021-07-06 华录易云科技有限公司 用于车速推荐的方法、装置及设备
CN113744533A (zh) * 2021-09-16 2021-12-03 济南金宇公路产业发展有限公司 一种基于5g的车辆疏导方法及系统
CN113744533B (zh) * 2021-09-16 2022-06-28 山东金宇信息科技集团有限公司 一种基于5g的车辆疏导方法及系统
CN114889611A (zh) * 2022-05-25 2022-08-12 重庆长安汽车股份有限公司 基于自学习的路口车道选择的控制系统及方法
CN114889611B (zh) * 2022-05-25 2024-05-14 重庆长安汽车股份有限公司 基于自学习的路口车道选择的控制系统及方法

Also Published As

Publication number Publication date
CN108428338B (zh) 2021-11-12
US20220122454A1 (en) 2022-04-21
TW201832189A (zh) 2018-09-01
US11380195B2 (en) 2022-07-05
CN108428338A (zh) 2018-08-21
TWI755438B (zh) 2022-02-21
US12014629B2 (en) 2024-06-18
US20190371167A1 (en) 2019-12-05

Similar Documents

Publication Publication Date Title
WO2018149307A1 (zh) 交通路况分析方法、装置及电子设备
WO2018149308A1 (zh) 一种道路交通优化方法、装置以及电子设备
WO2019047905A1 (zh) 一种交通路况分析系统、方法以及装置
CN108763776B (zh) 一种城市快速路网时变交通状态仿真方法及装置
CN103927873B (zh) 浮动车与路段匹配方法及并行获取实时路况的方法
WO2015051718A1 (zh) 一种动态轨迹导航方法及云平台
Liu et al. Development of a VISSIM simulation model for U-turns at unsignalized intersections
CN104200649A (zh) 基于预先申请的交通高峰期路线资源调度分配系统与方法
Kong et al. RMGen: A tri-layer vehicular trajectory data generation model exploring urban region division and mobility pattern
CN103680127A (zh) 一种利用低采样率浮动车数据计算信号灯控制道路交叉口延误的方法
CN113378413A (zh) 基于Vissim构建仿真路网平台系统、方法、设备及存储介质
CN110956807A (zh) 基于多源数据与滑动窗口组合的高速公路流量预测方法
CN105185103B (zh) 一种路段行程时间的管理控制方法
Zhao et al. Development and validation of improved impedance functions for roads with mixed traffic using taxi GPS trajectory data and simulation
CN111009140A (zh) 一种基于开源路况信息的智能交通信号控制方法
Lu et al. Research on the intelligent assignment model of urban traffic planning based on optimal path optimization algorithm
CN105070060B (zh) 一种基于公交车载gps数据的城市道路交通状态判别方法
CN114724414B (zh) 城市空中交通分担率的确定方法、装置、电子设备及介质
Crisalli et al. A meso-simulation approach for the estimation of traffic flows in presence of automated vehicles
Guo et al. Research on optimization model of multisource traffic information collection combination based on genetic algorithm
Lai et al. Modeling arterial signal coordination for bus priority using mobile phone GPS data
Gamboa-Venegas et al. Calibration of Traffic Simulations Using Simulated Annealing and GPS Navigation Records
Thilakshan et al. An Approach to Identify Bottlenecks in Road Networks using Travel Time Variations: A Case Study in the City of Colombo and Suburbs
Abret et al. The determination of convenient junction type utilizing from estimated traffic data with AHP method
Alkandari et al. Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18754090

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18754090

Country of ref document: EP

Kind code of ref document: A1