WO2021031172A1 - Method for generating traffic early-warning guidance information - Google Patents

Method for generating traffic early-warning guidance information Download PDF

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WO2021031172A1
WO2021031172A1 PCT/CN2019/101873 CN2019101873W WO2021031172A1 WO 2021031172 A1 WO2021031172 A1 WO 2021031172A1 CN 2019101873 W CN2019101873 W CN 2019101873W WO 2021031172 A1 WO2021031172 A1 WO 2021031172A1
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traffic
intersection
data
guidance information
information
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丁华平
钱文涛
朱荀
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江苏金晓电子信息股份有限公司
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting
    • G08G1/093Data selection, e.g. prioritizing information, managing message queues, selecting the information to be output

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  • the invention relates to the technical field of traffic early warning and guidance information generation.
  • the technical problem to be solved by the present invention is to provide a method for generating traffic early warning guidance information, which can issue traffic early warning guidance information in advance for upcoming traffic congestion, and perform traffic evacuation in advance to avoid or minimize traffic congestion.
  • the technical solutions adopted by the present invention are:
  • a method for generating traffic early warning guidance information which is based on VMS variable information board platform support, and includes the following steps:
  • the traffic flow data information includes: road traffic volume V, intersection queuing length L, and delay time D , The number of stops N, the traffic flow u a at the traffic intersection a, the traffic intersection a refers to any one of the traffic intersections monitored in the VMS variable information board platform, and the traffic flow q a at the traffic intersection adjacent to the traffic intersection a
  • the questionnaire survey data information includes P a : the driver’s obedience rate to the guidance information, which is obtained by the driver’s questionnaire survey; preset data information, the preset data information includes saturated traffic flow S; provided for the policy set in the policy information game T i is calculated; the above-described set of policies and data information into the data repository;
  • the traffic occupancy rate O is calculated according to the following formula:
  • O m the road traffic occupancy rate of the m-th cycle of traffic intersection a
  • P a the driver’s obedience rate to the guidance information
  • q a traffic flow at the traffic intersection adjacent to traffic intersection a
  • K a vehicle ratio of a traffic intersection, the percentage ratio of the vehicle to the recommended vehicle heading for a traffic intersection with a traffic intersection is located in a vehicle
  • u a exit of a traffic intersection traffic flow
  • S a traffic Saturated traffic flow at intersection a
  • DI is all traffic intersections
  • the traffic revenue value U a is obtained by the following formula:
  • n the sampling time point of collecting the latest data
  • ⁇ 1 the weight coefficient of the traffic volume V
  • Van and Va (n-1) are the traffic at the sampling time point of the latest data and the previous data, respectively
  • ⁇ 2 the weighting coefficient of the queue length L
  • Lan and La (n-1) are the queuing lengths at the sampling time point of the latest data and the previous data, respectively
  • ⁇ 3 the weighting coefficient of the delay time D
  • D an And Da (n-1) are the delay time at the sampling time point of the latest data and the previous data respectively
  • ⁇ 4 the weight coefficient of the number of stops N, Nan and Na (n-1) are the latest data and the previous data respectively
  • u af actual exit traffic volume in each direction
  • u ay expected exit traffic volume in each direction
  • DI is all traffic intersections
  • a represents traffic intersections
  • step b add a judgment condition for whether each traffic intersection a needs to send traffic warning guidance information, and when the condition O ⁇ O a is satisfied in the step b, according to the following formula :
  • v n average vehicle speed at the sampling time point of the latest data of traffic intersection a
  • v max speed limit of the road section at traffic intersection a
  • Set threshold n: the sampling time point of collecting the latest data
  • ⁇ 1 the weight coefficient of the nth sampling time point
  • ⁇ 2 the weight coefficient of the n-1th sampling time point
  • ⁇ 1 , ⁇ 2 Value range: 0 ⁇ 1, the value is positively correlated with the saturated traffic flow S of the traffic intersection a, and satisfies ⁇ 1 + ⁇ 2 1;
  • the interval between the sampling time point of a data on the traffic intersection a and the sampling time point n of the latest data is 15 minutes to 30 minutes.
  • the present invention considers the cooperative game relationship between each intersection and the adjacent traffic intersections that are traffic-related to each traffic intersection.
  • the relevant traffic data information is extracted through the VMS variable information board platform, and through the interaction of information, the strategy is calculated according to the game , Generate traffic warning guidance information, improve local self-coordination ability, and conduct traffic guidance in advance to avoid or minimize traffic congestion.
  • FIG. 1 is a flowchart of the method of the present invention
  • a method for generating traffic early warning guidance information which is based on the VMS variable information board platform support, and includes the following steps, see Figure 1:
  • the traffic flow data information includes: road traffic volume V, intersection queuing length L, and delay time D , The number of stops N, the traffic flow u a at the traffic intersection a, the traffic intersection a refers to any one of the traffic intersections monitored in the VMS variable information board platform, and the traffic flow q a at the traffic intersection adjacent to the traffic intersection a
  • the questionnaire survey data information includes P a : the driver’s obedience rate to the guidance information, which is obtained by the driver’s questionnaire survey; preset data information, the preset data information includes saturated traffic flow S; provided for the policy set in the policy information game T i is calculated; the above-described set of policies and data information into the data repository;
  • the traffic occupancy rate O is calculated according to the following formula:
  • O m the road traffic occupancy rate of the m-th cycle of traffic intersection a
  • P a the driver’s obedience rate to the guidance information
  • q a traffic flow at the traffic intersection adjacent to traffic intersection a
  • K a vehicle ratio of a traffic intersection, the percentage ratio of the vehicle to the recommended vehicle heading for a traffic intersection with a traffic intersection is located in a vehicle
  • u a exit of a traffic intersection traffic flow
  • S a traffic Saturated traffic flow at intersection a
  • DI is all traffic intersections
  • the traffic revenue value U a is obtained by the following formula:
  • n the sampling time point of collecting the latest data
  • ⁇ 1 the weight coefficient of the traffic volume V
  • Van and Va (n-1) are the traffic at the sampling time point of the latest data and the previous data, respectively
  • ⁇ 2 the weighting coefficient of the queue length L
  • Lan and La (n-1) are the queuing lengths at the sampling time point of the latest data and the previous data, respectively
  • ⁇ 3 the weighting coefficient of the delay time D
  • D an And Da (n-1) are the delay time at the sampling time point of the latest data and the previous data respectively
  • ⁇ 4 the weight coefficient of the number of stops N, Nan and Na (n-1) are the latest data and the previous data respectively
  • u af actual exit traffic volume in each direction
  • u ay expected exit traffic volume in each direction
  • DI is all traffic intersections
  • a represents traffic intersections
  • step b Between the step b and the step c, add another judgment condition of whether each traffic intersection a needs to send out traffic warning guidance information.
  • condition O ⁇ O a When the condition O ⁇ O a is satisfied in the step b, according to the following formula:
  • v n average vehicle speed at the sampling time point of the latest data of traffic intersection a
  • v max speed limit of the road section at traffic intersection a
  • Set threshold n: the sampling time point of collecting the latest data
  • ⁇ 1 the weight coefficient of the nth sampling time point
  • ⁇ 2 the weight coefficient of the n-1th sampling time point
  • ⁇ 1 , ⁇ 2 Value range: 0 ⁇ 1, the value is positively correlated with the saturated traffic flow S of the traffic intersection a, and satisfies ⁇ 1 + ⁇ 2 1;
  • the interval between the sampling time point of a data on the traffic intersection a and the sampling time point n of the latest data is 15 minutes to 30 minutes. .

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Abstract

Disclosed is a method for generating traffic early-warning guidance information. The method is based on the support of a variable message sign (VMS) board platform, and comprises the following steps: a. establishing a data information base; b. determining whether there is a need to send traffic early-warning guidance information at each traffic intersection, first setting a road traffic occupation rate threshold Oa of a traffic intersection a needing an alert, when a condition O<Oa is satisfied, not performing the steps following step c, and when a condition O > Oa is satisfied, continuing the step of generating traffic early-warning guidance information following step c; c. determining a passage yield value Ua of the previous time period and this time period of the traffic intersection a; d. calculating the yield of the traffic intersection a; e. generating traffic early-warning guidance information, acquiring a uay value, the value being traffic early-warning guidance information, and issuing the uay value by means of the VMS board platform. The present invention can issue traffic early-warning guidance information in advance for an impending traffic congestion, and carry out traffic evacuation in advance, so as to avoid or minimize the traffic congestion.

Description

一种交通预警诱导信息生成方法Method for generating traffic warning guidance information 技术领域Technical field
本发明涉及交通预警诱导信息生成技术领域。The invention relates to the technical field of traffic early warning and guidance information generation.
背景技术Background technique
随着交通运输技术的发展,交通拥堵成为日益增长的困扰人们的难题,与此同时交通诱导也逐渐成为降低交通压力的一个有效手段,交通管理者希望自己的诱导策略可以更大地使路网通畅,出行者也希望自己所收到的诱导信息可以提高自己的出行效率。道路上所建设的各VMS(可变情报板)就是提供诱导信息的一个有效手段。但是每个VMS所发布的信息势必会影响到其他VMS所在路段的交通状况,从而也会对其余VMS所发布的信息产生影响。如何对该影响提前预测,针对即将发生的交通拥堵提前发布交通预警诱导信息,提前进行交通疏导,以避免或最大程度的减小交通拥堵,是当前交通管理亟待解决的技术问题。With the development of transportation technology, traffic congestion has become a growing problem that plagues people. At the same time, traffic guidance has gradually become an effective means to reduce traffic pressure. Traffic managers hope that their guidance strategy can make the road network more smooth. , Travelers also hope that the inducement information they receive can improve their travel efficiency. The VMS (Variable Message Board) built on the road is an effective means to provide guidance information. However, the information released by each VMS will inevitably affect the traffic conditions of the road sections where other VMSs are located, and thus will also affect the information released by other VMSs. How to predict the impact in advance, issue traffic warning guidance information in advance for upcoming traffic congestion, and conduct traffic diversion in advance to avoid or minimize traffic congestion is a technical problem that needs to be solved urgently in current traffic management.
发明内容Summary of the invention
本发明要解决的技术问题是提供一种交通预警诱导信息生成方法,它可以针对即将发生的交通拥堵提前发布交通预警诱导信息,提前进行交通疏导,以避免或最大程度的减小交通拥堵。The technical problem to be solved by the present invention is to provide a method for generating traffic early warning guidance information, which can issue traffic early warning guidance information in advance for upcoming traffic congestion, and perform traffic evacuation in advance to avoid or minimize traffic congestion.
为解决上述技术问题,本发明所采取的技术方案是:To solve the above technical problems, the technical solutions adopted by the present invention are:
一种交通预警诱导信息生成方法,所述方法基于VMS可变情报板平台支持,包括如下步骤:A method for generating traffic early warning guidance information, which is based on VMS variable information board platform support, and includes the following steps:
a.建立数据信息库,获取各交通路口VMS可变情报板平台的信号采集设备所采集的交通流数据信息,所述交通流数据信息包括:路段交通量V,路口排队长度L,延误时间D,停车次数N,交通路口a的交通流u a,所述交通路口a指VMS可变情报板平台中所监测的其中任意一个交通路口,与交通路口a相邻的交通路口的交通流q a;问卷调查数据信息,所述问卷调查数据信息包括P a:驾驶员对诱导信息的服从率,其由驾驶员问卷调查获得;预先设置数据信息,所述预先设置数据信息包括饱和交通流S;设置用于博弈计算的策略T i的策略集信息; 将上述数据信息及策略集信息载入数据信息库; a. Establish a data information database to obtain the traffic flow data information collected by the signal collection equipment of the VMS variable information board platform at each traffic intersection. The traffic flow data information includes: road traffic volume V, intersection queuing length L, and delay time D , The number of stops N, the traffic flow u a at the traffic intersection a, the traffic intersection a refers to any one of the traffic intersections monitored in the VMS variable information board platform, and the traffic flow q a at the traffic intersection adjacent to the traffic intersection a Questionnaire survey data information, the questionnaire survey data information includes P a : the driver’s obedience rate to the guidance information, which is obtained by the driver’s questionnaire survey; preset data information, the preset data information includes saturated traffic flow S; provided for the policy set in the policy information game T i is calculated; the above-described set of policies and data information into the data repository;
b.判断各交通路口是否需要发出交通预警诱导信息,首先设定需要预警的交通路口a的道路交通占有率阈值O a,从数据信息库中提取交通路口a及与交通路口a有交通关联的相邻交通路口的数据信息,根据下述公式计算交通占有率O: b. Determine whether each traffic intersection needs to issue traffic warning guidance information, first set the road traffic occupancy threshold O a of the traffic intersection a that requires warning, and extract traffic intersection a and traffic-related traffic intersection a from the data information database For the data information of adjacent traffic intersections, the traffic occupancy rate O is calculated according to the following formula:
Figure PCTCN2019101873-appb-000001
Figure PCTCN2019101873-appb-000001
(1)式中:O m:交通路口a的第m个周期的道路交通占有率,P a:驾驶员对诱导信息的服从率;q a:与交通路口a相邻的交通路口的交通流;K a:交通路口a的车辆比例,所述车辆比例为建议驶向交通路口a的车辆与位于交通路口a的车辆的百分比;u a:驶出交通路口a的交通流,S a:交通路口a的饱和交通流,DI为全部交通路口; (1) where: O m : the road traffic occupancy rate of the m-th cycle of traffic intersection a, P a : the driver’s obedience rate to the guidance information; q a : traffic flow at the traffic intersection adjacent to traffic intersection a ; K a: vehicle ratio of a traffic intersection, the percentage ratio of the vehicle to the recommended vehicle heading for a traffic intersection with a traffic intersection is located in a vehicle; u a: exit of a traffic intersection traffic flow, S a: traffic Saturated traffic flow at intersection a, DI is all traffic intersections;
当满足条件O<O a时,则不在进行步骤c以后的步骤,当满足条件O>O a时,则继续进行步骤c以后生成交通预警诱导信息的步骤; When the condition O <O a time, after the step c is not performed, when the condition O> O a, the step c is continued traffic warning guidance information is generated later;
c.确定交通路口a上一个数据的采样时间点和最新数据的采样时间点n的通行收益值U a,所述通行收益值U a由下述公式获得: c. Determine the traffic revenue value U a of the sampling time point of a data on the traffic intersection a and the latest data sampling time point n, the traffic revenue value U a is obtained by the following formula:
U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1))  (2) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (2)
(2)式中,n:采集最新数据的采样时间点;λ 1:交通量V的权重系数;V an和V a(n-1)分别为最新数据和上一个数据的采样时间点的交通量;λ 2:排队长度L的权重系数;L an和L a(n-1)分别为最新数据和上一个数据的采样时间点的排队长度;λ 3:延误时间D的权重系数;D an和D a(n-1)分别为最新数据和上一个数据的采样时间点的延误时间;λ 4:停车次数N的权重系数,N an和N a(n-1)分别为最新数据和上一个数据的采样时间点的停车次数;λ 1234的取值范围:0~1,所取数值与饱和交通流S的多少正相关,且满足λ 1234=1; (2) In the formula, n: the sampling time point of collecting the latest data; λ 1 : the weight coefficient of the traffic volume V; Van and Va (n-1) are the traffic at the sampling time point of the latest data and the previous data, respectively Λ 2 : the weighting coefficient of the queue length L; Lan and La (n-1) are the queuing lengths at the sampling time point of the latest data and the previous data, respectively; λ 3 : the weighting coefficient of the delay time D; D an And Da (n-1) are the delay time at the sampling time point of the latest data and the previous data respectively; λ 4 : the weight coefficient of the number of stops N, Nan and Na (n-1) are the latest data and the previous data respectively The number of stops at the sampling time point of a data; the value range of λ 1 , λ 2 , λ 3 , and λ 4 : 0~1, the value is positively correlated with the saturated traffic flow S, and satisfies λ 1234 =1;
d.计算交通路口a的收益,与交通量V、排队长度L、延误时间D、停车次数N及其权重系数有关,为负收益;根据收益计算方法,设定博弈次数的阈值G;调取数据信息库中的策略集,在策略集中针对每一种策略T i不断进行改变,每改变一次T i,便对博弈次数计数加1;如果在G次博弈之内找到了纳什均衡,则采用该策略T i,找到策略
Figure PCTCN2019101873-appb-000002
使得交通路口a的收益:
d. Calculate the income of traffic intersection a, which is related to traffic volume V, queue length L, delay time D, number of stops N and its weight coefficient, which is a negative income; according to the income calculation method, set the threshold G of the number of games; call The strategy set in the data information database is continuously changed for each strategy T i in the strategy set. Each time T i is changed, the number of games is incremented by 1; if the Nash equilibrium is found within G games, then The strategy T i , find the strategy
Figure PCTCN2019101873-appb-000002
Make the income of traffic intersection a:
U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1))       (3) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (3)
达到Nash均衡,即:Achieve Nash equilibrium, namely:
Figure PCTCN2019101873-appb-000003
Figure PCTCN2019101873-appb-000003
则博弈结束,发布此时选定的策略T i,上式中,
Figure PCTCN2019101873-appb-000004
为任一博弈方的最佳策略;根据下述公式计算该诱导策略下的信息服从度:
Then the game ends, and the strategy T i selected at this time is released. In the above formula,
Figure PCTCN2019101873-appb-000004
It is the best strategy of any game player; calculate the information obedience under the inducement strategy according to the following formula:
Figure PCTCN2019101873-appb-000005
Figure PCTCN2019101873-appb-000005
(5)式中,u af:实际的各方向的驶出交通量;u ay:期望的各方向的驶出交通量;DI为全部交通路口;a代表交通路口; (5) In the formula, u af : actual exit traffic volume in each direction; u ay : expected exit traffic volume in each direction; DI is all traffic intersections; a represents traffic intersections;
e.生成交通预警诱导信息,获取u ay值,该值即为交通预警诱导信息,将u ay值由VMS可变情报板平台予以发布。 e. Generate traffic early warning guidance information, and obtain the u ay value, which is the traffic early warning guidance information, and the u ay value is released by the VMS variable information board platform.
更进一步的,在所述步骤b与步骤c之间再增加一个各交通路口a是否需要发出交通预警诱导信息的判断条件,当所述步骤b中满足条件O<O a时,根据下述公式: Furthermore, between the step b and the step c, add a judgment condition for whether each traffic intersection a needs to send traffic warning guidance information, and when the condition O<O a is satisfied in the step b, according to the following formula :
Figure PCTCN2019101873-appb-000006
Figure PCTCN2019101873-appb-000006
判断是否需要发出交通预警诱导信息;Determine whether it is necessary to issue traffic warning guidance information;
(6)式中,v n:交通路口a的最新数据的采样时间点的平均车辆行驶速度,v max:交通路口a的路段限速,
Figure PCTCN2019101873-appb-000007
设定的阈值;n:采集最新数据的采样时间 点;ω 1:第n个采样时间点的权重系数;ω 2:对应第n-1个采样时间点的权重系数;ω 1、ω 2的取值范围:0~1,所取数值与交通路口a的饱和交通流S的多少正相关,且满足ω 12=1;
(6) In the formula, v n : average vehicle speed at the sampling time point of the latest data of traffic intersection a, v max : speed limit of the road section at traffic intersection a,
Figure PCTCN2019101873-appb-000007
Set threshold; n: the sampling time point of collecting the latest data; ω 1 : the weight coefficient of the nth sampling time point; ω 2 : the weight coefficient of the n-1th sampling time point; ω 1 , ω 2 Value range: 0~1, the value is positively correlated with the saturated traffic flow S of the traffic intersection a, and satisfies ω 1 + ω 2 =1;
如公式(6)成立,则继续进行步骤c以后生成交通预警诱导信息的步骤。If formula (6) is established, proceed to the step of generating traffic warning guidance information after step c.
更进一步的,所述步骤c中,交通路口a上一个数据的采样时间点和最新数据的采样时间点n的间隔为15min~30min。Furthermore, in the step c, the interval between the sampling time point of a data on the traffic intersection a and the sampling time point n of the latest data is 15 minutes to 30 minutes.
采用上述技术方案所产生的有益效果在于:The beneficial effects produced by using the above technical solutions are:
(1).本发明考虑了各路口及与各交通路口有交通关联的相邻交通路口的合作博弈关系,通过VMS可变情报板平台提取相关交通数据信息,通过信息的交互,根据博弈计算策略,生成交通预警诱导信息,提高了局部的自我协调能力,提前进行交通疏导,以避免或最大程度的减小交通拥堵。(1). The present invention considers the cooperative game relationship between each intersection and the adjacent traffic intersections that are traffic-related to each traffic intersection. The relevant traffic data information is extracted through the VMS variable information board platform, and through the interaction of information, the strategy is calculated according to the game , Generate traffic warning guidance information, improve local self-coordination ability, and conduct traffic guidance in advance to avoid or minimize traffic congestion.
(2).在交通压力不是特别大的时候无需人工参与即可促进区域的交通协调,减轻了管理人员的负担。(2). When the traffic pressure is not particularly high, the regional traffic coordination can be promoted without manual participation, which reduces the burden on the management staff.
(3).提高了诱导信息的有效性、实时性、准确性,推进了交通系统的智能化。(3). Improved the effectiveness, real-time and accuracy of the guidance information, and promoted the intelligentization of the transportation system.
附图说明Description of the drawings
图1是本发明方法的流程图;Figure 1 is a flowchart of the method of the present invention;
具体实施方式detailed description
下面将结合附图和具体实施例对本发明进行进一步详细说明。The present invention will be further described in detail below with reference to the drawings and specific embodiments.
一种交通预警诱导信息生成方法,该方法基于VMS可变情报板平台支持,包括如下步骤,参见图1:A method for generating traffic early warning guidance information, which is based on the VMS variable information board platform support, and includes the following steps, see Figure 1:
a.建立数据信息库,获取各交通路口VMS可变情报板平台的信号采集设备所采集的交通流数据信息,所述交通流数据信息包括:路段交通量V,路口排队长度L,延误时间D,停车次数N,交通路口a的交通流u a,所述交通路口a指VMS可变情报板平台中所监测的其中任意一个交通路口,与交通路口a相邻的交 通路口的交通流q a;问卷调查数据信息,所述问卷调查数据信息包括P a:驾驶员对诱导信息的服从率,其由驾驶员问卷调查获得;预先设置数据信息,所述预先设置数据信息包括饱和交通流S;设置用于博弈计算的策略T i的策略集信息;将上述数据信息及策略集信息载入数据信息库; a. Establish a data information database to obtain the traffic flow data information collected by the signal collection equipment of the VMS variable information board platform at each traffic intersection. The traffic flow data information includes: road traffic volume V, intersection queuing length L, and delay time D , The number of stops N, the traffic flow u a at the traffic intersection a, the traffic intersection a refers to any one of the traffic intersections monitored in the VMS variable information board platform, and the traffic flow q a at the traffic intersection adjacent to the traffic intersection a Questionnaire survey data information, the questionnaire survey data information includes P a : the driver’s obedience rate to the guidance information, which is obtained by the driver’s questionnaire survey; preset data information, the preset data information includes saturated traffic flow S; provided for the policy set in the policy information game T i is calculated; the above-described set of policies and data information into the data repository;
b.判断各交通路口是否需要发出交通预警诱导信息,首先设定需要预警的交通路口a的道路交通占有率阈值O a,从数据信息库中提取交通路口a及与交通路口a有交通关联的相邻交通路口的数据信息,根据下述公式计算交通占有率O: b. Determine whether each traffic intersection needs to issue traffic warning guidance information, first set the road traffic occupancy threshold O a of the traffic intersection a that requires warning, and extract traffic intersection a and traffic-related traffic intersection a from the data information database For the data information of adjacent traffic intersections, the traffic occupancy rate O is calculated according to the following formula:
Figure PCTCN2019101873-appb-000008
Figure PCTCN2019101873-appb-000008
(1)式中:O m:交通路口a的第m个周期的道路交通占有率,P a:驾驶员对诱导信息的服从率;q a:与交通路口a相邻的交通路口的交通流;K a:交通路口a的车辆比例,所述车辆比例为建议驶向交通路口a的车辆与位于交通路口a的车辆的百分比;u a:驶出交通路口a的交通流,S a:交通路口a的饱和交通流,DI为全部交通路口; (1) where: O m : the road traffic occupancy rate of the m-th cycle of traffic intersection a, P a : the driver’s obedience rate to the guidance information; q a : traffic flow at the traffic intersection adjacent to traffic intersection a ; K a: vehicle ratio of a traffic intersection, the percentage ratio of the vehicle to the recommended vehicle heading for a traffic intersection with a traffic intersection is located in a vehicle; u a: exit of a traffic intersection traffic flow, S a: traffic Saturated traffic flow at intersection a, DI is all traffic intersections;
当满足条件O<O a时,则不在进行步骤c以后的步骤,当满足条件O>O a时,则继续进行步骤c以后生成交通预警诱导信息的步骤; When the condition O <O a time, after the step c is not performed, when the condition O> O a, the step c is continued traffic warning guidance information is generated later;
c.确定交通路口a上一个数据的采样时间点和最新数据的采样时间点n的通行收益值U a,所述通行收益值U a由下述公式获得: c. Determine the traffic revenue value U a of the sampling time point of a data on the traffic intersection a and the latest data sampling time point n, the traffic revenue value U a is obtained by the following formula:
U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1))      (2) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (2)
(2)式中,n:采集最新数据的采样时间点;λ 1:交通量V的权重系数;V an和V a(n-1)分别为最新数据和上一个数据的采样时间点的交通量;λ 2:排队长度L的权重系数;L an和L a(n-1)分别为最新数据和上一个数据的采样时间点的排队长度;λ 3:延误时间D的权重系数;D an和D a(n-1)分别为最新数据和上一个数据的 采样时间点的延误时间;λ 4:停车次数N的权重系数,N an和N a(n-1)分别为最新数据和上一个数据的采样时间点的停车次数;λ 1234的取值范围:0~1,所取数值与饱和交通流S的多少正相关,且满足λ 1234=1; (2) In the formula, n: the sampling time point of collecting the latest data; λ 1 : the weight coefficient of the traffic volume V; Van and Va (n-1) are the traffic at the sampling time point of the latest data and the previous data, respectively Λ 2 : the weighting coefficient of the queue length L; Lan and La (n-1) are the queuing lengths at the sampling time point of the latest data and the previous data, respectively; λ 3 : the weighting coefficient of the delay time D; D an And Da (n-1) are the delay time at the sampling time point of the latest data and the previous data respectively; λ 4 : the weight coefficient of the number of stops N, Nan and Na (n-1) are the latest data and the previous data respectively The number of stops at the sampling time point of a data; the value range of λ 1 , λ 2 , λ 3 , and λ 4 : 0~1, the value is positively correlated with the saturated traffic flow S, and satisfies λ 1234 =1;
d.计算交通路口a的收益,与交通量V、排队长度L、延误时间D、停车次数N及其权重系数有关,为负收益;根据收益计算方法,设定博弈次数的阈值G;调取数据信息库中的策略集,在策略集中针对每一种策略T i不断进行改变,每改变一次T i,便对博弈次数计数加1;如果在G次博弈之内找到了纳什均衡,则采用该策略T i,找到策略
Figure PCTCN2019101873-appb-000009
使得交通路口a的收益:
d. Calculate the income of traffic intersection a, which is related to traffic volume V, queue length L, delay time D, number of stops N and its weight coefficient, which is a negative income; according to the income calculation method, set the threshold G of the number of games; call The strategy set in the data information database is continuously changed for each strategy T i in the strategy set. Each time T i is changed, the number of games is incremented by 1; if the Nash equilibrium is found within G games, then The strategy T i , find the strategy
Figure PCTCN2019101873-appb-000009
Make the income of traffic intersection a:
U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1))       (3) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (3)
达到Nash均衡,即:Achieve Nash equilibrium, namely:
Figure PCTCN2019101873-appb-000010
Figure PCTCN2019101873-appb-000010
则博弈结束,发布此时选定的策略T i,上式中,
Figure PCTCN2019101873-appb-000011
为任一博弈方的最佳策略;根据下述公式计算该诱导策略下的信息服从度:
Then the game ends, and the strategy T i selected at this time is released. In the above formula,
Figure PCTCN2019101873-appb-000011
It is the best strategy of any game player; calculate the information obedience under the inducement strategy according to the following formula:
Figure PCTCN2019101873-appb-000012
Figure PCTCN2019101873-appb-000012
(5)式中,u af:实际的各方向的驶出交通量;u ay:期望的各方向的驶出交通量;DI为全部交通路口;a代表交通路口; (5) In the formula, u af : actual exit traffic volume in each direction; u ay : expected exit traffic volume in each direction; DI is all traffic intersections; a represents traffic intersections;
e.生成交通预警诱导信息,获取u ay值,该值即为交通预警诱导信息,将u ay值由VMS可变情报板平台予以发布。 e. Generate traffic early warning guidance information, and obtain the u ay value, which is the traffic early warning guidance information, and the u ay value is released by the VMS variable information board platform.
在所述步骤b与步骤c之间再增加一个各交通路口a是否需要发出交通预警诱导信息的判断条件,当所述步骤b中满足条件O<O a时,根据下述公式: Between the step b and the step c, add another judgment condition of whether each traffic intersection a needs to send out traffic warning guidance information. When the condition O<O a is satisfied in the step b, according to the following formula:
Figure PCTCN2019101873-appb-000013
Figure PCTCN2019101873-appb-000013
判断是否需要发出交通预警诱导信息;Determine whether it is necessary to issue traffic warning guidance information;
(6)式中,v n:交通路口a的最新数据的采样时间点的平均车辆行驶速度,v max:交通路口a的路段限速,
Figure PCTCN2019101873-appb-000014
设定的阈值;n:采集最新数据的采样时间点;ω 1:第n个采样时间点的权重系数;ω 2:对应第n-1个采样时间点的权重系数;ω 1、ω 2的取值范围:0~1,所取数值与交通路口a的饱和交通流S的多少正相关,且满足ω 12=1;
(6) In the formula, v n : average vehicle speed at the sampling time point of the latest data of traffic intersection a, v max : speed limit of the road section at traffic intersection a,
Figure PCTCN2019101873-appb-000014
Set threshold; n: the sampling time point of collecting the latest data; ω 1 : the weight coefficient of the nth sampling time point; ω 2 : the weight coefficient of the n-1th sampling time point; ω 1 , ω 2 Value range: 0~1, the value is positively correlated with the saturated traffic flow S of the traffic intersection a, and satisfies ω 1 + ω 2 =1;
如公式(6)成立,则继续进行步骤c以后生成交通预警诱导信息的步骤。If formula (6) is established, proceed to the step of generating traffic warning guidance information after step c.
所述步骤c中,交通路口a上一个数据的采样时间点和最新数据的采样时间点n的间隔为15min~30min。。In the step c, the interval between the sampling time point of a data on the traffic intersection a and the sampling time point n of the latest data is 15 minutes to 30 minutes. .

Claims (3)

  1. 一种交通预警诱导信息生成方法,其特征在于:所述方法基于VMS可变情报板平台支持,包括如下步骤:A method for generating traffic early warning guidance information, characterized in that: the method is based on the VMS variable information board platform support, and includes the following steps:
    a.建立数据信息库,获取各交通路口VMS可变情报板平台的信号采集设备所采集的交通流数据信息,所述交通流数据信息包括:路段交通量V,路口排队长度L,延误时间D,停车次数N,交通路口a的交通流u a,所述交通路口a指VMS可变情报板平台中所监测的其中任意一个交通路口,与交通路口a相邻的交通路口的交通流q a;问卷调查数据信息,所述问卷调查数据信息包括P a:驾驶员对诱导信息的服从率,其由驾驶员问卷调查获得;预先设置数据信息,所述预先设置数据信息包括饱和交通流S;设置用于博弈计算的策略T i的策略集信息;将上述数据信息及策略集信息载入数据信息库; a. Establish a data information database to obtain the traffic flow data information collected by the signal collection equipment of the VMS variable information board platform at each traffic intersection. The traffic flow data information includes: road traffic volume V, intersection queuing length L, and delay time D , The number of stops N, the traffic flow u a at the traffic intersection a, the traffic intersection a refers to any one of the traffic intersections monitored in the VMS variable information board platform, and the traffic flow q a at the traffic intersection adjacent to the traffic intersection a Questionnaire survey data information, the questionnaire survey data information includes P a : the driver’s obedience rate to the guidance information, which is obtained by the driver’s questionnaire survey; preset data information, the preset data information includes saturated traffic flow S; provided for the policy set in the policy information game T i is calculated; the above-described set of policies and data information into the data repository;
    b.判断各交通路口是否需要发出交通预警诱导信息,首先设定需要预警的交通路口a的道路交通占有率阈值O a,从数据信息库中提取交通路口a及与交通路口a有交通关联的相邻交通路口的数据信息,根据下述公式计算交通占有率O: b. Determine whether each traffic intersection needs to issue traffic warning guidance information, first set the road traffic occupancy threshold O a of the traffic intersection a that requires warning, and extract traffic intersection a and traffic-related traffic intersection a from the data information database For the data information of adjacent traffic intersections, the traffic occupancy rate O is calculated according to the following formula:
    Figure PCTCN2019101873-appb-100001
    Figure PCTCN2019101873-appb-100001
    (1)式中:O m:交通路口a的第m个周期的道路交通占有率,P a:驾驶员对诱导信息的服从率;q a:与交通路口a相邻的交通路口的交通流;K a:交通路口a的车辆比例,所述车辆比例为建议驶向交通路口a的车辆与位于交通路口a的车辆的百分比;u a:驶出交通路口a的交通流,S a:交通路口a的饱和交通流,DI为全部交通路口; (1) where: O m : the road traffic occupancy rate of the m-th cycle of traffic intersection a, P a : the driver’s obedience rate to the guidance information; q a : traffic flow at the traffic intersection adjacent to traffic intersection a ; K a: vehicle ratio of a traffic intersection, the percentage ratio of the vehicle to the recommended vehicle heading for a traffic intersection with a traffic intersection is located in a vehicle; u a: exit of a traffic intersection traffic flow, S a: traffic Saturated traffic flow at intersection a, DI is all traffic intersections;
    当满足条件O<O a时,则不在进行步骤c以后的步骤,当满足条件O>O a时,则继续进行步骤c以后生成交通预警诱导信息的步骤; When the condition O <O a time, after the step c is not performed, when the condition O> O a, the step c is continued traffic warning guidance information is generated later;
    c.确定交通路口a上一个数据的采样时间点和最新数据的采样时间点n的通行收益值U a,所述通行收益值U a由下述公式获得: c. Determine the traffic revenue value U a of the sampling time point of a data on the traffic intersection a and the latest data sampling time point n, the traffic revenue value U a is obtained by the following formula:
    U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1)) (2) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (2)
    (2)式中,n:采集最新数据的采样时间点;λ 1:交通量V的权重系数;V an和V a(n-1)分别为最新数据和上一个数据的采样时间点的交通量;λ 2:排队长度L的权重系数;L an和L a(n-1)分别为最新数据和上一个数据的采样时间点的排队长度;λ 3:延误时间D的权重系数;D an和D a(n-1)分别为最新数据和上一个数据的采样时间点的延误时间;λ 4:停车次数N的权重系数,N an和N a(n-1)分别为最新数据和上一个数据的采样时间点的停车次数;λ 1234的取值范围:0~1,所取数值与饱和交通流S的多少正相关,且满足λ 1234=1; (2) In the formula, n: the sampling time point of collecting the latest data; λ 1 : the weight coefficient of the traffic volume V; Van and Va (n-1) are the traffic at the sampling time point of the latest data and the previous data, respectively Λ 2 : the weighting coefficient of the queue length L; Lan and La (n-1) are the queuing lengths at the sampling time point of the latest data and the previous data, respectively; λ 3 : the weighting coefficient of the delay time D; D an And Da (n-1) are the delay time at the sampling time point of the latest data and the previous data respectively; λ 4 : the weight coefficient of the number of stops N, Nan and Na (n-1) are the latest data and the previous data respectively The number of stops at the sampling time point of a data; the value range of λ 1 , λ 2 , λ 3 , and λ 4 : 0~1, the value is positively correlated with the saturated traffic flow S, and satisfies λ 1234 =1;
    d.计算交通路口a的收益,与交通量V、排队长度L、延误时间D、停车次数N及其权重系数有关,为负收益;根据收益计算方法,设定博弈次数的阈值G;调取数据信息库中的策略集,在策略集中针对每一种策略T i不断进行改变,每改变一次T i,便对博弈次数计数加1;如果在G次博弈之内找到了纳什均衡,则采用该策略T i,找到策略
    Figure PCTCN2019101873-appb-100002
    使得交通路口a的收益:
    d. Calculate the income of traffic intersection a, which is related to traffic volume V, queue length L, delay time D, number of stops N and its weight coefficient, which is a negative income; according to the income calculation method, set the threshold G of the number of games; call The strategy set in the data information database is continuously changed for each strategy T i in the strategy set. Each time T i is changed, the number of games is incremented by 1; if the Nash equilibrium is found within G games, then The strategy T i , find the strategy
    Figure PCTCN2019101873-appb-100002
    Make the income of traffic intersection a:
    U a=λ 1(V an-V a(n-1))+λ 2(L an-L a(n-1))+λ 3(D an-D a(n-1))+λ 4(N an-N a(n-1)) (3) U a1 (V an -V a(n-1) )+λ 2 (L an -L a(n-1) )+λ 3 (D an -D a(n-1) )+λ 4 (N an -N a(n-1) ) (3)
    达到Nash均衡,即:Achieve Nash equilibrium, namely:
    Figure PCTCN2019101873-appb-100003
    Figure PCTCN2019101873-appb-100003
    则博弈结束,发布此时选定的策略T i,上式中,
    Figure PCTCN2019101873-appb-100004
    为任一博弈方的最佳策略;根据下述公式计算该诱导策略下的信息服从度:
    Then the game ends, and the strategy T i selected at this time is released. In the above formula,
    Figure PCTCN2019101873-appb-100004
    It is the best strategy of any game player; calculate the information obedience under the inducement strategy according to the following formula:
    Figure PCTCN2019101873-appb-100005
    Figure PCTCN2019101873-appb-100005
    (5)式中,u af:实际的各方向的驶出交通量;u ay:期望的各方向的驶出交通量;DI为全部交通路口;a代表交通路口; (5) In the formula, u af : actual exit traffic volume in each direction; u ay : expected exit traffic volume in each direction; DI is all traffic intersections; a represents traffic intersections;
    e.生成交通预警诱导信息,获取u ay值,该值即为交通预警诱导信息,将u ay值由VMS可变情报板平台予以发布。 e. Generate traffic early warning guidance information, and obtain the u ay value, which is the traffic early warning guidance information, and the u ay value is released by the VMS variable information board platform.
  2. 根据权利要求1所述的一种交通预警诱导信息生成方法,其特征在于:在所述步骤b与步骤c之间再增加一个各交通路口a是否需要发出交通预警诱导信息的判断条件,当所述步骤b中满足条件O<O a时,根据下述公式: The method for generating traffic early warning guidance information according to claim 1, characterized in that: between said step b and step c, another traffic junction a is required to send traffic early warning guidance information. When the condition O<O a is satisfied in step b, according to the following formula:
    Figure PCTCN2019101873-appb-100006
    Figure PCTCN2019101873-appb-100006
    判断是否需要发出交通预警诱导信息;Determine whether it is necessary to issue traffic warning guidance information;
    (6)式中,v n:交通路口a的最新数据的采样时间点的平均车辆行驶速度,v max:交通路口a的路段限速,
    Figure PCTCN2019101873-appb-100007
    设定的阈值;n:采集最新数据的采样时间点;ω 1:第n个采样时间点的权重系数;ω 2:对应第n-1个采样时间点的权重系数;ω 1、ω 2的取值范围:0~1,所取数值与交通路口a的饱和交通流S的多少正相关,且满足ω 12=1;
    (6) In the formula, v n : average vehicle speed at the sampling time point of the latest data of traffic intersection a, v max : speed limit of the road section at traffic intersection a,
    Figure PCTCN2019101873-appb-100007
    Set threshold; n: the sampling time point of collecting the latest data; ω 1 : the weight coefficient of the nth sampling time point; ω 2 : the weight coefficient of the n-1th sampling time point; ω 1 , ω 2 Value range: 0~1, the value is positively correlated with the saturated traffic flow S of the traffic intersection a, and satisfies ω 1 + ω 2 =1;
    如公式(6)成立,则继续进行步骤c以后生成交通预警诱导信息的步骤。If formula (6) is established, proceed to the step of generating traffic warning guidance information after step c.
  3. 根据权利要求1或2所述的一种交通预警诱导信息生成方法,其特征在于:所述步骤c中,交通路口a上一个数据的采样时间点和最新数据的采样时间点n的间隔为15min~30min。The method for generating traffic early warning guidance information according to claim 1 or 2, characterized in that: in the step c, the interval between the sampling time point of a data on the traffic intersection a and the sampling time point n of the latest data is 15 min ~30min.
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