CN108932856A - Intersection weighs setting method under a kind of automatic Pilot - Google Patents

Intersection weighs setting method under a kind of automatic Pilot Download PDF

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CN108932856A
CN108932856A CN201810822950.0A CN201810822950A CN108932856A CN 108932856 A CN108932856 A CN 108932856A CN 201810822950 A CN201810822950 A CN 201810822950A CN 108932856 A CN108932856 A CN 108932856A
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CN108932856B (en
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吴伟
刘洋
刘威
杜荣华
龙科军
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Changsha University of Science and Technology
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/08Controlling traffic signals according to detected number or speed of vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/081Plural intersections under common control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096725Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control

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Abstract

本发明公开了一种自动驾驶下交叉口通行权设置方法,属于智能交通领域,能为自动驾驶车辆提供进入交叉口的最佳时刻并选择最佳出口车道。在自动驾驶环境下,确定交叉口的物理参数,将交叉口的内部空间分为若干正方形的方格。采集车辆所在进口道编号,转弯方向,到达停车线的预测时刻。建立车辆行驶路径选择模型、车辆实际到达停车线时刻的计算模型、驶入和驶出方格时刻的计算模型;确保同一个方格在同一时刻只能被一辆车占用,建立多台车辆占用同一个方格的约束条件公式;以交叉口到达车辆的总延误最小为目标函数,优化获得每辆车的最佳出口车道以及通过交叉口的最佳时刻。本发明方法能保障自动驾驶车辆在交叉口的安全与高效通行。

The invention discloses a method for setting the right of way at an intersection under automatic driving, which belongs to the field of intelligent transportation and can provide the best time for an automatic driving vehicle to enter the intersection and select the best exit lane. In the autonomous driving environment, the physical parameters of the intersection are determined, and the internal space of the intersection is divided into several square grids. Collect the number of the entrance lane where the vehicle is located, the direction of turning, and the predicted time when it reaches the stop line. Establish the vehicle route selection model, the calculation model for the time when the vehicle actually reaches the stop line, and the calculation model for the time when the vehicle enters and exits the grid; ensure that the same grid can only be occupied by one vehicle at the same time, and establish a multi-vehicle occupancy model. The constraint condition formula of the same grid; with the minimum total delay of vehicles arriving at the intersection as the objective function, optimize the best exit lane for each vehicle and the best time to pass through the intersection. The method of the invention can ensure the safe and efficient passage of the self-driving vehicle at the intersection.

Description

一种自动驾驶下交叉口通行权设置方法A method for setting the right of way at an intersection under automatic driving

技术领域technical field

本发明属于智能交通领域,涉及城市道路针对自动驾驶车辆的交通管控技术领域,更具体地说,涉及一种自动驾驶下交叉口通行权的设置方法。The invention belongs to the field of intelligent transportation, relates to the technical field of traffic management and control for automatic driving vehicles on urban roads, and more specifically relates to a method for setting the right of way at an intersection under automatic driving.

背景技术Background technique

自动驾驶技术发展前景非常广阔,2018年以来,北京、上海、重庆、深圳多地针对自动驾驶车辆先后出台自动驾驶路测细则,杭州、广州、武汉正在规划建设无人驾驶实验基地。自动驾驶环境下,通过采用无线通信和互联网等技术,可以实现车辆之间、车辆与道路的通信。这使得车辆在交叉口不再需要信号灯控制,车辆间能相互协作、相互配合地通过交叉口,实现从基于信号相位的信号控制转变为针对“单个车辆”的通行权控制。但是,当到达的交通量较大时,如何协调自动驾驶车辆在交叉口内部空间的通行权,在不同进口道不同转弯方向的车辆间,确定最优的通过交叉口的车辆次序,成为需要研究的重要问题。The development prospects of autonomous driving technology are very broad. Since 2018, Beijing, Shanghai, Chongqing, and Shenzhen have successively issued detailed rules for autonomous driving road tests for autonomous vehicles. Hangzhou, Guangzhou, and Wuhan are planning to build experimental bases for autonomous driving. In the autonomous driving environment, by using technologies such as wireless communication and the Internet, communication between vehicles and between vehicles and roads can be realized. This makes vehicles no longer need signal light control at the intersection, and vehicles can cooperate and cooperate with each other to pass through the intersection, realizing the transformation from signal phase-based signal control to "single vehicle" right-of-way control. However, when the amount of arriving traffic is large, how to coordinate the right-of-way of self-driving vehicles in the internal space of the intersection, and determine the optimal order of vehicles passing through the intersection between vehicles with different turning directions at different entrances, has become a need for research. important question.

另一方面,现有绝大多数交叉口,对进口车道的左转、直行、右转做了严格的划分,车辆在进入交叉口之前需要换道到相应的车道,而车辆驶出交叉口时却没有规定必须驶入哪条车道,可以选择任一条出口道驶出。而在自动驾驶条件下,需严格设置每辆车驶入和驶出交叉口的车道,一方面,可提高自动驾驶车辆的安全性,另一方面可通过最优选择出口车道,提高交叉口的通行效率。On the other hand, most of the existing intersections have strictly divided the left-turn, straight-going, and right-turning lanes of the entrance lanes. Vehicles need to change lanes to the corresponding lanes before entering the intersection. However, there is no regulation which lane must be driven into, and any exit lane can be selected to exit. Under automatic driving conditions, it is necessary to strictly set the lanes for each vehicle entering and exiting the intersection. On the one hand, the safety of autonomous vehicles can be improved. traffic efficiency.

因此,本发明提供了一种自动驾驶下交叉口通行权的设置方法,在自动驾驶条件下,交叉口进口道无需划分车道功能,即所有进口道均可“左直右”行驶,在此条件下,同时优化自动驾驶车辆的通行时间和出口车道。以总延误最小为目标,将交叉口内部区域划分为若干方格,计算车辆选择不同出口车道时,占用每个方格的时间,通过约束一个方格最多被一辆车占用,实现车辆安全高效地通过交叉口区域。Therefore, the present invention provides a method for setting the right of way at an intersection under automatic driving. Under the condition of automatic driving, the entrance road at the intersection does not need to divide the lane function, that is, all the entrance roads can drive "straight from left to right". , while optimizing the transit time and exit lanes of autonomous vehicles. With the goal of minimizing the total delay, the internal area of the intersection is divided into several grids, and the time occupied by each grid is calculated when the vehicle chooses different exit lanes. By restricting a grid to be occupied by at most one vehicle, the safety and efficiency of vehicles can be achieved through the intersection area.

经对现有技术的文献检索发现,已有针对自动驾驶交叉口通行权的文献主要基于先到先服务的通行方法,缺乏统筹考虑整个交叉口到达车辆的总延误。According to the literature search of the existing technology, the existing literature on the right of way at the intersection of automatic driving is mainly based on the first-come-first-served traffic method, and lacks the overall consideration of the total delay of arriving vehicles at the entire intersection.

发明内容Contents of the invention

技术问题:针对自动驾驶车辆在进口道所有车道都能“左直右”通行的条件下,如何最佳确定通行次序的同时选择最佳出口车道的问题,本发明提供了一种自动驾驶下交叉口通行权的设置方法,确保自动驾驶车辆安全、高效、有序地通过交叉口。Technical problem: Aiming at the problem of how to optimally determine the traffic sequence and select the best exit lane under the condition that all lanes of the entrance road can pass "straight from left to right" for automatic driving vehicles, the present invention provides a crossover under automatic driving. The method of setting the right of way at the intersection ensures that autonomous vehicles pass through the intersection safely, efficiently and orderly.

技术方案:为解决上述技术问题,本发明的一种自动驾驶下交叉口通行权设置方法,包括如下步骤:Technical solution: In order to solve the above technical problems, a method for setting the right of way at an intersection under automatic driving of the present invention includes the following steps:

步骤1:确定交叉口各进口道、出口道车道数并分别对其编号,将交叉口的内部空间分为若干正方形的小方格并将方格进行编号,确定各方格的坐标范围;采集车辆所在进口道编号,转弯方向,到达停车线的预测时刻,输入交叉口所有的车辆通行路径压到的方格以及车辆进入和驶出方格的位置点;Step 1: Determine the number of entrance lanes and exit lanes at the intersection and number them respectively, divide the internal space of the intersection into several small square grids and number the grids, and determine the coordinate range of each grid; collect The number of the entrance lane where the vehicle is located, the direction of turning, the predicted time of arrival at the stop line, the grid where all the vehicle passages at the intersection are pressed and the position points where the vehicle enters and exits the grid;

步骤2:建立车辆行驶路径选择模型,建立车辆实际到达停车线时刻的计算模型,建立驶入方格的时刻和驶出方格的时刻的计算模型;Step 2: Establish a vehicle driving route selection model, establish a calculation model for the time when the vehicle actually reaches the stop line, and establish a calculation model for the time when the vehicle enters the grid and the time when it leaves the grid;

步骤3:确保同一个方格在同一时刻只能被一辆车占用,建立多台车辆占用同一个方格的约束条件公式;Step 3: Ensure that the same square can only be occupied by one vehicle at the same time, and establish a constraint formula for multiple vehicles occupying the same square;

步骤4:以交叉口到达车辆的总延误最小为目标函数,优化获得每辆车的最佳出口车道以及通过交叉口的最佳时刻。Step 4: Taking the minimum total delay of arriving vehicles at the intersection as the objective function, optimize the best exit lane for each vehicle and the best time to pass the intersection.

本发明中,步骤1包括如下步骤:In the present invention, step 1 includes the following steps:

步骤11:用参数O表示交叉口进口道,参数D表示交叉口出口道,参数E,W,S,N分别表示东、西、南、北方向,O∈{E,W,S,N},D∈{E,W,S,N};g表示车道上的第g辆车;Oi→Dj表示车辆从O进口道的第i条车道驶向D出口道的第j条车道,不考虑掉头行驶,因此,在Oi→Dj中,O≠D;每个进口道包含iO条车道,其中iO∈{1,2,…,nO},nO表示O方向进口道最大车道数,每个出口道包含jD条车道,其中jD∈{1,2,…,mD},mD表示D方向出口道最大车道数。车速用参数v表示,考虑车辆在交叉口内部匀速行驶,不能停留。将交叉口分为若干正方形的小方格并进行编号,Rpq表示方格R在x轴和y轴对应的编号分别是p,q;建立直角坐标系,采集每辆车压过的方格及进入和驶出方格的位置点,表示路径Oi→Dj上的车辆进入第a个方格Rpq的位置点,则其中a∈{1,2,…,A},A表示进入位置点的总数;表示路径Oi→Dj驶出第b个方格Rpq的位置点,其中b∈{1,2,…,B},B表示驶出位置点的总数。Step 11: Use the parameter O to indicate the intersection entrance, the parameter D to indicate the intersection exit, and the parameters E, W, S, and N to represent the east, west, south, and north directions respectively, and O∈{E,W,S,N} , D∈{E,W,S,N}; g means the gth vehicle on the lane; Oi→Dj means that the vehicle is driving from the i-th lane of the O entrance to the j-th lane of the D exit, regardless of Turn around, therefore, in Oi→Dj, O≠D; each entrance road contains i O lanes, where i O ∈ {1,2,…,n O }, n O represents the maximum number of lanes of the entrance road in the O direction , each exit road contains j D lanes, where j D ∈ {1,2,…,m D }, m D represents the maximum number of lanes of the exit road in the D direction. The speed of the vehicle is represented by the parameter v, considering that the vehicle is traveling at a constant speed inside the intersection and cannot stop. Divide the intersection into several small square grids and number them. R pq means that the numbers corresponding to the grid R on the x-axis and y-axis are p and q respectively; establish a Cartesian coordinate system and collect the grids that each vehicle passes through and points of entry and exit from the grid, Indicates that the vehicle on the path Oi→Dj enters the position point of the ath square R pq , then where a ∈ {1,2,…,A}, A represents the total number of entry points; Indicates the position point where the path Oi→Dj leaves the bth square R pq , where b∈{1,2,…,B}, B represents the total number of exit location points.

本发明中,步骤2建立车辆行驶路径选择模型,建立车辆实际到达停车线时刻的计算模型,建立驶入方格的时刻和驶出方格的时刻的计算模型,包含如下步骤:In the present invention, step 2 establishes the vehicle travel path selection model, establishes the calculation model of the moment when the vehicle actually arrives at the stop line, and sets up the calculation model of the moment when entering the grid and the time when the grid exits, including the following steps:

步骤21:进口道车辆左转和右转,驶出交叉口的方向已知且确定,因此在驶出方向的所有出口道选择一条车道驶出,由公式(1)计算。Step 21: Vehicles turn left and right at the entrance road, and the direction of exiting the intersection is known and determined. Therefore, select a lane for all exits in the exiting direction to exit, which is calculated by formula (1).

公式中,为二元变量,表示第g辆车选择路径Oi→Dj,即从O方向的第i条进口道行驶到D方向的第j条出口道;表示车辆不从第j条出口道驶出。formula, is a binary variable, Indicates that the gth vehicle chooses the path Oi→Dj, that is, it travels from the i-th entry road in the O direction to the j-th exit road in the D direction; Indicates that the vehicle does not drive out from exit j.

当车辆为直行且进口道iO小于等于出口道车道数jD,即iO≤jD时,直行车辆选择的路径由公式(2)计算:When the vehicle is going straight and the entrance lane i O is less than or equal to the number of exit lanes j D , that is, i O ≤ j D , the path chosen by the straight vehicle is calculated by formula (2):

当车辆为直行且进口道iO大于出口道jD即iO>jD时,进口道比出口道多出的车道上的车辆驶向距离最近的出口道,路径选择由公式(3)计算:When the vehicle is going straight and the entrance lane i O is greater than the exit lane j D , that is, i O > j D , the vehicles on the lane with more entrance lanes than the exit lane drive to the nearest exit lane, and the route selection is calculated by formula (3) :

步骤22:O方向的第i条进口道上的第g辆车预测到达停车线的时刻用表示,到达停车线的实际时刻用表示,驶离停车线,进入交叉口的时刻用表示。Step 22: Use Indicates that the actual moment of arrival at the stop line is represented by Indicates that when leaving the stop line and entering the intersection, use express.

第g辆车到达停车线的预测时刻大于等于前一辆车g-1驶离停车线的时刻,即则不用排队等待;若时,则第g辆车不能按预测时刻到达停车线,需要排队等待,则到达停车线的实际时刻由公式(4)计算。The predicted moment when the gth car arrives at the stop line is greater than or equal to the moment when the previous car g-1 leaves the stop line, that is Then there is no need to wait in line; if , then the gth car cannot arrive at the stop line at the predicted time and needs to wait in line, then the actual time at which it arrives at the stop line Calculated by formula (4).

公式中dv为车辆到交叉口停车线的距离,GOi表示一条进口道上的车辆总数。In the formula, d v is the distance from the vehicle to the stop line at the intersection, and G Oi represents the total number of vehicles on an entry road.

当g=1时,即车辆为车道第一辆车时,前方没有等待通行的车辆,此时实际到达停车线的时刻等于预测到达停车线时刻,由公式(5)计算。When g=1, that is, when the vehicle is the first vehicle in the lane, there is no waiting vehicle in front, and the actual time of reaching the stop line is equal to the predicted time of reaching the stop line, which is calculated by formula (5).

步骤23:第g辆车驶入位置点的时刻用表示,驶出位置点的时刻用表示,驶入第一个位置点的时刻等于车辆离开停车线的时刻,由公式(6)计算:Step 23: The gth vehicle enters the location point time to use Indicates that driving out of the position point time to use Indicates that the moment when the vehicle enters the first position is equal to the moment when the vehicle leaves the stop line, which is calculated by formula (6):

第g辆车驶入其他位置点的时刻由公式(7)计算:The moment when the gth car enters other positions is calculated by formula (7):

第g辆车驶出第一个位置点的时刻由公式(8)计算:The moment when the gth car leaves the first location point is calculated by formula (8):

第g辆车驶出其他位置点的时刻由公式(9)计算:The moment when the gth car leaves other locations is calculated by formula (9):

本发明中,步骤3确保同一个方格在同一时刻只能被一辆车占用,建立多台车辆占用同一个方格的约束条件公式,具体包括以下步骤:In the present invention, step 3 ensures that the same square can only be occupied by one vehicle at the same time, and establishes a constraint formula for multiple vehicles occupying the same square, which specifically includes the following steps:

步骤31:会存在多条不同行驶路径的车辆到达同一个方格Rpq,须两两比较车辆到达和驶出方格的时刻,定义到达交叉口所有车辆的集合为G,对于任意一辆车g1,g2∈G,假设车辆g1的路径为(Oi→Dj)1,车辆g2的路径为(Oi→Dj)2,对任意的O∈{E,W,S,N},D∈{E,W,S,N},i∈{1,2,…,no},j∈{1,2,…,mD}。使用公式(10)和公式(11)可以确保同一个方格在同一时刻只能被一辆车占用。Step 31: There will be multiple vehicles with different driving paths arriving at the same grid R pq , and the time when the vehicles arrive at and leave the grid must be compared pair by pair, and the set of all vehicles arriving at the intersection is defined as G. For any vehicle g 1 , g 2 ∈G, suppose the path of vehicle g 1 is (Oi→Dj) 1 , the path of vehicle g 2 is (Oi→Dj) 2 , for any O∈{E,W,S,N}, D ∈ {E, W, S, N}, i ∈ {1, 2,..., n o }, j ∈ {1, 2,..., m D }. Using formula (10) and formula (11) can ensure that the same square can only be occupied by one vehicle at the same time.

公式中为二元变量,当方格Rpq在路径Oi→Dj上时,当方格Rab不在路径Oi→Dj上时,M为大的正数,y为二元变量,可取值为0或1;formula is a binary variable, when the grid R pq is on the path Oi→Dj, When the square R ab is not on the path Oi→Dj, M is a large positive number, y is a binary variable, which can be 0 or 1;

本发明中,步骤4以交叉口到达车辆的总延误最小为目标函数,优化获得每辆车的最佳出口车道以及通过交叉口的最佳时刻,具体包括以下步骤:In the present invention, step 4 takes the minimum total delay of vehicles arriving at the intersection as the objective function, optimizes and obtains the best exit lane of each vehicle and the best time by the intersection, specifically comprising the following steps:

步骤41:第g辆车的延误由公式(12)计算,延误等于驶离停车线的时刻减去预测到达停车线的时刻。总延误由公式(13)计算,根据总延误最小的公式(14),及公示(1)-(13)可以确定每辆车在交叉口区域内的最佳路径即最佳出口车道,和驶离停车线最优时刻 Step 41: The delay of the gth vehicle is calculated by the formula (12), and the delay is equal to the time of leaving the stop line minus the predicted time of arriving at the stop line. The total delay is calculated by formula (13), according to the formula (14) with the minimum total delay, and publicity (1)-(13), the best path for each vehicle in the intersection area can be determined That is, the best exit lane, and the best time to leave the stop line

MIN(Delay) (14)MIN(Delay) (14)

有益效果:本发明与现有技术相比,具有以下优点:Beneficial effect: compared with the prior art, the present invention has the following advantages:

本发明方法能在自动驾驶车辆在进入交叉口之前确定车辆的通行权和出口车道,确保各进口道车辆安全有序地通过交叉口且总延误最低。The method of the invention can determine the right of way and the exit lane of the vehicle before the self-driving vehicle enters the intersection, so as to ensure that the vehicles on each entrance lane pass through the intersection safely and orderly with the lowest total delay.

附图说明Description of drawings

图1为本发明方法的流程图;Fig. 1 is the flowchart of the inventive method;

图2为实施例示意图。Figure 2 is a schematic diagram of the embodiment.

具体实施方式Detailed ways

结合附图和实施例,对本发明技术方案详细说明如下:In conjunction with the accompanying drawings and embodiments, the technical solution of the present invention is described in detail as follows:

示例:选择城市的典型交叉口为研究对象,在自动驾驶环境下,能获知到达车辆的实时位置、到达停车线的预测时刻,转弯方向,以及所有通行路径在交叉口内部驶入方格的位置和驶出方格的位置。实例中各方向进口道车道数分别为:nE=nS=nN=3、nW=4;各方向出口道车道数分别为:mW=mS=mN=2、mE=3,交叉口各车道宽度均为3m,设置方格的边长为3m。匀速通过交叉口的速度v=10m/s。随机生成13辆自动驾驶车辆,优化此13辆车的行驶路径和进入交叉口的最佳时刻。各进口道自动驾驶车辆到达停车线的预测时刻和转弯方向,如图2和表1所示。Example: Select a typical intersection in the city as the research object. In the autonomous driving environment, the real-time position of the arriving vehicle, the predicted time of arriving at the stop line, the turning direction, and the position of all traffic paths entering the grid inside the intersection can be obtained. and out of square position. In the example, the number of entrance lanes in each direction is: n E =n S =n N =3, n W =4; the number of exit lanes in each direction is: m W =m S =m N =2, m E = 3. The width of each lane at the intersection is 3m, and the side length of the set grid is 3m. The speed v=10m/s through the intersection at a constant speed. Randomly generate 13 self-driving vehicles, optimize the driving path of these 13 vehicles and the best time to enter the intersection. The predicted time and turning direction of the self-driving vehicles at each entrance road to the stop line are shown in Figure 2 and Table 1.

表1各进口道自动驾驶车辆到达停车线的预测时刻及转弯方向表Table 1 Predicted time and turning direction table of the self-driving vehicles arriving at the stop line at each entrance road

车辆1为直行车辆,行驶过的方格编号、驶入方格的位置点坐标和驶出的方格位置点坐标、车头驶入方格的时刻、车尾驶出方格的时刻,如表2所示。Vehicle 1 is a straight vehicle, the number of the grid it has driven, the coordinates of the position point of the entry grid and the coordinates of the grid position point of the exit, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid, as shown in the table 2 shown.

表2:直行车辆1车头驶入方格的时刻和车尾驶出方格的时刻Table 2: The moment when the head of vehicle 1 enters the grid and the moment when the rear leaves the grid

车辆2为直行车辆,行驶过的方格编号、驶入方格的位置点坐标和驶出的方格位置点坐标、车头驶入方格的时刻、车尾驶出方格的时刻,如表3所示。Vehicle 2 is a straight vehicle, the number of the grid it has driven, the coordinates of the position point of the entry grid and the coordinates of the grid position point of the exit, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid, as shown in the table 3 shown.

表3:直行车辆2车头驶入方格的时刻和车尾驶出方格的时刻Table 3: The moment when the head of vehicle 2 enters the grid and the moment when the rear of the vehicle leaves the grid

车辆3为直行车辆,驶过的方格编号,车头驶入方格的时刻和车尾驶出方格的时刻如表4所示。Vehicle 3 is a straight vehicle, the number of the grid it passes by, the time when the front of the vehicle enters the grid and the time when the rear of the vehicle exits the grid is shown in Table 4.

表4:直行车辆3车头驶入方格的时刻和车尾驶出方格的时刻Table 4: The moment when the front of vehicle 3 enters the grid and the moment when the rear exits the grid

车辆4、5、6、7、8为直行车辆,驶过的方格,车头驶入方格的时刻、车尾驶出方格的时刻如表5所示。Vehicles 4, 5, 6, 7, and 8 are straight vehicles, and the grids they pass, the moment when the front of the vehicle enters the grid, and the time when the rear of the vehicle exits the grid are shown in Table 5.

表5:直行车辆4、5、6、7、8驶过的方格、车头驶入方格的时刻和车尾驶出方格的时刻Table 5: The squares passed by vehicles 4, 5, 6, 7, and 8, the moment when the front of the vehicle enters the square, and the moment when the rear of the vehicle leaves the square

车辆9为左转车辆,出口道有S1,S2可供选择,行驶路径为E2→S1时压过的方格、驶入方格和驶出方格的位置点坐标、驶入方格和驶出方格的时刻如表6所示。Vehicle 9 is a left-turning vehicle, and there are S1 and S2 to choose from at the exit lane. The time of grid-out is shown in Table 6.

表6:车辆9在路径E2→S1上驶过的方格、驶入方格和驶出方格的位置点坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 6: The grid that vehicle 9 passes through on the path E2→S1, the position point coordinates of entering and leaving the grid, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid

车辆9在路径E2→S2驶过的方格、驶入方格和驶出方格的位置点坐标,车辆驶入方格和驶出方格的时刻如表7所示。Table 7 shows the position point coordinates of the grid, the entry grid, and the exit grid of the vehicle 9 on the path E2→S2, and the time when the vehicle enters the grid and exits the grid.

表7:车辆9在路径E2→S2驶过的方格、驶入方格和驶出方格的位置点坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 7: The grid that vehicle 9 passes through on the route E2→S2, the position coordinates of the entry grid and the exit grid, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid

车辆10为左转车辆,可供选择出口道有N1,N2,当行驶路径为W3→N1时,车辆10压过的方格、驶入方格和驶出方格的位置点坐标、驶入方格和驶出方格的时刻如表8所示,当行驶路径为W3→N1时,如表9所示。The vehicle 10 is a left-turning vehicle, and there are N1 and N2 exit lanes to choose from. When the driving path is W3→N1, the coordinates of the grid that the vehicle 10 passes, the location point coordinates of the grid that it enters and the grid that it exits, and the Table 8 shows the grid and the time of leaving the grid, and it is shown in Table 9 when the driving path is W3→N1.

表8:车辆10在路径W3→N1驶过的方格、驶入方格和驶出方格的位置点坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 8: The grid that the vehicle 10 passes through on the path W3→N1, the position coordinates of the entry grid and the exit grid, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid

表9:车辆10在路径W3→N2上车辆驶过的方格、驶入方格和驶出方格的位置点坐标及投影到外边界的坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 9: The grid the vehicle passes through on the path W3→N2, the position coordinates of the vehicle entering the grid and the grid exiting the grid, and the coordinates projected to the outer boundary, the moment when the front of the vehicle enters the grid and the time when the rear of the vehicle travels out of the box moment

车辆11为右转车辆,出口道有三条车道可供选择,分别是E1,E2,E3,当行驶路径为S1→E1时,驶过的方格、驶入方格和驶出方格的位置点坐标、驶入方格和驶出方格的时刻如表10所示;当行驶路径为S1→E2时如表11所示;当行驶路径为S1→E3时如表12所示。Vehicle 11 is a right-turning vehicle, and there are three lanes to choose from at the exit, namely E1, E2, and E3. When the driving path is S1→E1, the positions of the passing grid, entering grid and leaving grid The point coordinates, the time of entering and leaving the grid are shown in Table 10; when the driving route is S1→E2, it is shown in Table 11; when the driving route is S1→E3, it is shown in Table 12.

表10:路径S1→E1驶过的方格、驶入方格和驶出方格的位置点坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 10: The grid that the route S1→E1 passes through, the position coordinates of the entry grid and the exit grid, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid

表11:路径S1→E2上车辆驶过的方格、驶入方格和驶出方格的位置点坐标、车头驶入方格的时刻和车尾驶出方格的时刻Table 11: The grid that the vehicle passes through on the route S1→E2, the position coordinates of the vehicle entering the grid and the grid exiting the grid, the moment when the front of the vehicle enters the grid, and the moment when the rear of the vehicle exits the grid

表12:路径S1→E3车头驶入方格的时刻和车尾驶出方格的时刻 Table 12: The moment when the head of the route S1→E3 enters the grid and the moment when the rear of the car leaves the grid

车辆12为右转车辆,有三条出口道可供选择,分别是E1,E2,E3。不同行驶路径上车头驶入方格的时刻和车尾驶出方格的时刻如表13所示。Vehicle 12 is a right-turning vehicle, and there are three exit lanes to choose from, which are E1, E2, and E3 respectively. Table 13 shows the time when the front of the vehicle enters the grid and the time when the rear of the vehicle exits the grid on different driving paths.

表13:车辆12不同路径上车头驶入方格的时刻和车尾驶出方格的时刻Table 13: The moment when the front of the vehicle enters the grid and the moment when the rear exits the grid on different paths of vehicle 12

车辆13为右转车辆,对应出口道有两条车道可选,分别是W1,W2。不同路径上车辆车头驶入方格的时刻和车尾驶出方格的时刻如表14所示。Vehicle 13 is a right-turning vehicle, and there are two optional lanes corresponding to the exit road, W1 and W2 respectively. Table 14 shows the time when the front of the vehicle enters the grid and the time when the rear of the vehicle exits the grid on different paths.

表14:车辆13不同路径上车头驶入方格的时刻和车尾驶出方格的时刻Table 14: The moment when the front of the vehicle enters the grid and the moment when the rear exits the grid on different paths of vehicle 13

根据步骤4中公式(14)和公式(1)-(13)可求出13辆车通过交叉口的总延误最小MIN(Delay)=15.9s,此时每辆车选择的最佳出口车道及车辆驶离停车线的最佳时刻如表15所示;各进口道车辆预测到达停车线时刻、实际到达停车线的时刻及车辆延误如表16所示,由于车辆均为各进口道第一辆车,前方没有排队车辆,则实际到达时刻等于预测到达时刻。According to the formula (14) and formula (1)-(13) in step 4, the total delay minimum MIN(Delay)=15.9s for 13 vehicles passing through the intersection can be obtained. At this time, the optimal exit lane and The best time for vehicles to leave the stop line is shown in Table 15; the predicted time of vehicles arriving at the stop line, the actual time of arrival at the stop line and the vehicle delay are shown in Table 16. If there is no vehicle in line ahead, the actual arrival time is equal to the predicted arrival time.

表15:车辆最佳出口车道选取及车辆驶离停车线的最佳时刻表Table 15: Selection of the best exit lane for vehicles and the best timetable for vehicles leaving the stop line

表16:各进口道车辆到达停车线的预测时刻、到达停车线的实际时刻及车辆延误表Table 16: Predicted time of arrival at the stop line, actual time of arrival at the stop line, and vehicle delay table for vehicles at each entrance road

Claims (5)

1. intersection weighs setting method under a kind of automatic Pilot, which is characterized in that this method comprises the following steps:
Step 1: determining each entrance driveway in intersection, exit ramp number of track-lines and it is numbered respectively, by the inner space of intersection point For several squares lattice and grid is numbered, determine the coordinate range of each grid;Entrance driveway where acquiring vehicle Number, turn direction reach the prediction time of stop line, grid that all vehicle pass-through paths in input intersection are pressed onto and Vehicle enters and is driven out to the location point of grid;
Step 2: establishing vehicle running path preference pattern, establish the computation model that vehicle is actually reached the stop line moment, establish Computation model at the time of at the time of driving into grid and being driven out to grid;
Step 3: ensuring that the same grid can only be occupied in synchronization by a vehicle, establish more trolleys and occupy the same grid Constraint condition formula;
Step 4: the minimum objective function of total delay of vehicle is reached with intersection, optimization obtains the best exit lane of each car And the best time for passing through intersection.
2. intersection weighs setting method under a kind of automatic Pilot according to claim 1, which is characterized in that the step Rapid 1 includes the following steps:
Step 11: indicating crossing inlet road with parameter O, parameter D indicates intersection exit road, parameter E, W, S, and N is respectively indicated East, West, South, North direction, O ∈ { E, W, S, N }, D ∈ { E, W, S, N };G indicates the g vehicle on lane;Oi → Dj indicates vehicle The j-th strip lane that D exit ramp is driven towards from i-th lane of O entrance driveway does not consider to turn around to travel, therefore, in Oi → Dj, and O ≠ D;Each entrance driveway includes iOLane, wherein iO∈{1,2,…,nO, nOIndicate the direction O entrance driveway maximum number of track-lines, each Exit ramp includes jDLane, wherein jD∈{1,2,…,mD, mDIndicate the direction D exit ramp maximum number of track-lines;Speed parameter v It indicates, considers that vehicle drives at a constant speed inside intersection, cannot stop;The lattice that intersection is divided into several squares is gone forward side by side Row number, RpqExpression grid R is p, q respectively in the corresponding number of x-axis and y-axis;Rectangular coordinate system is established, acquisition each car presses through Grid and entrance and the location point for being driven out to grid,Indicate that the vehicle on the Oi → Dj of path enters a-th of grid Rpq's Location point, thenWherein a ∈ { 1,2 ..., A }, A indicate entry into the sum of location point;Indicate that path Oi → Dj is driven out to b-th of grid RpqLocation point,Wherein b ∈ 1, 2 ..., B }, B indicates the sum for being driven out to location point.
3. intersection weighs setting method under a kind of automatic Pilot according to claim 1, which is characterized in that the step In rapid 2, vehicle running path preference pattern is established, establishes the computation model that vehicle is actually reached the stop line moment, foundation is driven into Computation model at the time of at the time of grid and being driven out to grid, includes the following steps:
Step 21: entrance driveway vehicle turns left and turns right, and the direction for being driven out to intersection is known and determining, therefore in the institute for being driven out to direction There is exit ramp that a lane is selected to be driven out to, is calculated by formula (1);
In formula,For binary variable,Indicate the g vehicle selection path Oi → Dj, i.e. i-th from the direction O Entrance driveway drives to the j-th strip exit ramp in the direction D;Indicate that vehicle is not driven out to from j-th strip exit ramp;
When vehicle is straight trip and entrance driveway iOLess than or equal to exit ramp number of track-lines jD, i.e. iO≤jDWhen, the path of through vehicles selection It is calculated by formula (2):
When vehicle is straight trip and entrance driveway iOGreater than exit ramp jDThat is iO>jDWhen, the vehicle on lane that entrance driveway has more than exit ramp It drives towards apart from nearest exit ramp, Path selection is calculated by formula (3):
The g vehicle prediction on i-th article of entrance driveway in the direction step 22:O is used at the time of reaching stop lineIt indicates, reaches parking The practical moment of line is usedIt indicates, sails out of stop line, used at the time of into intersectionIt indicates;
At the time of the prediction time that the g vehicle reaches stop line sails out of stop line more than or equal to previous vehicle g-1, i.e., Do not have to then wait in line;IfWhen, then the g vehicle cannot reach stop line by prediction time, need to wait in line, then Reach the practical moment of stop lineIt is calculated by formula (4);
D in formulavFor vehicle to the distance of intersection parking line, GOiIndicate the vehicle fleet on an entrance driveway;
As g=1, i.e., when vehicle is lane first car, front is actually reached stop line without waiting for current vehicle at this time At the time of be equal to prediction reach the stop line moment, by formula (5) calculate;
Step 23: the g vehicle drives into location pointAt the time of useIt indicates, is driven out to location pointAt the time of useIt indicates, at the time of leaving stop line equal to vehicle at the time of driving into first location point, is calculated by formula (6):
The g vehicle is calculated at the time of driving into other positions point by formula (7):
The g vehicle is calculated at the time of being driven out to first location point by formula (8):
The g vehicle is calculated at the time of being driven out to other positions point by formula (9):
4. intersection weighs setting method under a kind of automatic Pilot according to claim 1, which is characterized in that the step In rapid 3, it is ensured that the same grid can only be occupied in synchronization by a vehicle, establish the pact that more trolleys occupy the same grid Beam condition formula, includes the following steps:
Step 31: the vehicle that can have a plurality of different driving paths reaches the same grid Rpq, must compare two-by-two vehicle reach and At the time of being driven out to grid, the collection that definition reaches all vehicles in intersection is combined into G, for any one vehicle g1,g2∈ G, it is assumed that vehicle g1Path be (Oi → Dj)1, vehicle g2Path be (Oi → Dj)2, to arbitrary O ∈ { E, W, S, N }, D ∈ { E, W, S, N }, i∈{1,2,…,nO, j ∈ { 1,2 ..., mD};It may insure the same grid in same a period of time using formula (10) and formula (11) Carving can only be occupied by a vehicle;
In formulaFor binary variable, as grid RpqWhen on the Oi → Dj of path,As grid RabNot in path When on Oi → Dj,M be big positive number, y is binary variable, can value be 0 or 1.
5. intersection weighs setting method under a kind of automatic Pilot according to claim 1, which is characterized in that the step In rapid 4, with intersection reach vehicle the minimum objective function of total delay, optimization obtain each car best exit lane and By the best time of intersection, include the following steps:
Step 41: the delay of the g vehicle is calculated by formula (12), and delay, which is equal at the time of sailing out of stop line to subtract prediction and reach, to stop At the time of fare;Total delay is calculated by formula (13), can be true according to the smallest formula of total delay (14) and publicity (1)-(13) Determine optimal path of each car in the region of intersectionI.e. best exit lane, and sail out of stop line optimal time
MIN(Delay) (14)。
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