CN111243301A - Traffic signal lamp green light duration determination device, method and system - Google Patents
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Abstract
本发明公开一种交通信号灯绿灯时长确定装置、方法及系统,涉及交通信息感知及控制领域。该方法包括:利用获取的驶入车辆数和驶出车辆数计算得到车道组的最大滞留车辆数;利用获取的时间间隔计算饱和车头时距;获取车载单元的车辆的速度和位置信息;比较得到关键车流量;利用关键车流量、预设启动损失时间和饱和车头时距计算得到绿灯时长。本发明利用安装在交叉口各车道的地磁车辆检测器和安装在车辆上的车载单元实时获取交叉口每个车道所有车辆的状态信息,根据状态信息确定车道的关键车流量,利用关键车流量、预设启动损失时间和饱和车头时距计算绿灯时长,可以有效缓解交叉口信号灯配时不合理带来的车辆通行效率低问题。
The invention discloses a device, method and system for determining the green light duration of a traffic signal, and relates to the field of traffic information perception and control. The method includes: calculating the maximum number of stranded vehicles in a lane group by using the acquired number of incoming vehicles and outgoing vehicles; using the acquired time interval to calculate the saturated headway; acquiring the speed and position information of the vehicle in the on-board unit; Critical traffic flow; the green light duration is calculated using critical traffic flow, preset start loss time and saturated headway. The present invention utilizes the geomagnetic vehicle detector installed in each lane of the intersection and the on-board unit installed on the vehicle to obtain the state information of all vehicles in each lane of the intersection in real time, determines the key traffic flow of the lane according to the state information, and utilizes the key traffic flow, Presetting the starting loss time and the saturated headway to calculate the green light duration can effectively alleviate the problem of low vehicle traffic efficiency caused by unreasonable timing of signal lights at intersections.
Description
技术领域technical field
本发明涉及交通信息感知及控制领域,特别是涉及一种交通信号灯绿灯时长确定装置、方法及系统。The invention relates to the field of traffic information perception and control, in particular to a device, method and system for determining the green light duration of a traffic signal.
背景技术Background technique
随着中国汽车保有量不断增加,城市交通拥堵问题越发严重,优化单点交叉口信号控制系统,提高交叉口的通行能力成为解决该问题的有效手段。单点交叉口信号控制是指利用交通信号灯,对孤立交叉口运行的车辆和行人进行通行权的分配。单点交叉口信号控制以交通信号控制模型为基础,通过合理的控制交叉口信号灯的灯色变化,来达到缓解交通拥堵、保证城市道路畅通和避免发生交通事故等目的。同时,单点交叉口信号控制作为城市道路交通信号控制的基本形式,也是城市道路交通控制最主要最基本的方法。With the continuous increase of car ownership in China, the problem of urban traffic congestion is becoming more and more serious. Optimizing the signal control system of single-point intersection and improving the traffic capacity of the intersection has become an effective means to solve this problem. Single-point intersection signal control refers to the use of traffic lights to allocate the right of way to vehicles and pedestrians running at isolated intersections. Single-point intersection signal control is based on the traffic signal control model, and by reasonably controlling the color change of the intersection signal lights, it can achieve the purpose of alleviating traffic congestion, ensuring smooth urban roads and avoiding traffic accidents. At the same time, single-point intersection signal control, as the basic form of urban road traffic signal control, is also the most important and most basic method of urban road traffic control.
当前,交叉口信号控制根据控制方式的不同可以分为定时式控制、感应式控制以及自适应控制。其中,定时式控制的配时方案是根据历史的交通流量数据确定的,但是由于车辆到达的随机性与实时性,定时式控制无法适应动态变化的交通流。感应式控制是根据交通检测器检测到的交叉口实时交通状况,采用合适的信号显示以适应交通需求的控制方式;感应式控制虽然对车辆随机到达和交通需求变化较大的情况适应性比较强,但是存在协调性差、基础设施成本较高的缺点。自适应控制是在人工技术的基础上发展起来的一种信号控制方式,能够根据交通情况的变化做出灵活的反应,具有较强的实时性、独立性和鲁棒性,这种方式很好的弥补了前两种方式存在的不足,具有更大的研究价值。然而现有采用自适应控制的信号灯时长确定方法考虑的交通状况是某时段内路口的交通流情况和路口交叉方向的车流情况之间的关系,或周期内车辆排队数量,没有考虑全局交通状态,导致车辆通行效率低。因此现有信号灯时长确定方法存在车辆通行效率低的问题。Currently, intersection signal control can be divided into timing control, inductive control and adaptive control according to different control methods. Among them, the timing scheme of timing control is determined based on historical traffic flow data, but due to the randomness and real-time nature of vehicle arrivals, timing control cannot adapt to dynamically changing traffic flow. Inductive control is a control method that uses appropriate signal display to meet the traffic demand according to the real-time traffic conditions of the intersection detected by the traffic detector; although the inductive control is more adaptable to the random arrival of vehicles and the large change of traffic demand , but there are disadvantages of poor coordination and high infrastructure costs. Adaptive control is a signal control method developed on the basis of artificial technology. It can respond flexibly to changes in traffic conditions, and has strong real-time, independence and robustness. This method is very good. It makes up for the shortcomings of the first two methods and has greater research value. However, the traffic conditions considered by the existing adaptive control signal light duration determination method are the relationship between the traffic flow at the intersection and the traffic flow at the intersection in a certain period of time, or the number of vehicles queuing in the cycle, without considering the overall traffic status. lead to low vehicle traffic efficiency. Therefore, the existing method for determining the duration of the signal lamp has the problem of low vehicle traffic efficiency.
发明内容SUMMARY OF THE INVENTION
本发明的目的是提供一种交通信号灯绿灯时长确定装置、方法及系统,解决了现有信号灯时长确定方法车辆通行效率低的问题。The purpose of the present invention is to provide a device, method and system for determining the green light duration of a traffic signal, which solves the problem of low vehicle traffic efficiency in the prior method for determining the duration of a signal light.
为实现上述目的,本发明提供了如下方案:For achieving the above object, the present invention provides the following scheme:
一种交通信号灯绿灯时长确定装置,包括:地磁车辆检测器、车载单元和路侧单元;A device for determining the green light duration of a traffic signal, comprising: a geomagnetic vehicle detector, a vehicle-mounted unit and a roadside unit;
所述地磁车辆检测器的数量为多组,每个车道安装一组所述地磁车辆检测器;The number of the geomagnetic vehicle detectors is multiple, and each lane is installed with one group of the geomagnetic vehicle detectors;
每组所述地磁车辆检测器均包括:第一检测器和第二检测器;所述第一检测器安装在车道的停止线,所述第二检测器安装在距离所述第一检测器的预设距离处;所述第一检测器和所述第二检测器之间的区域为滞留区;Each group of the geomagnetic vehicle detectors includes: a first detector and a second detector; the first detector is installed at the stop line of the lane, and the second detector is installed at a distance from the first detector at a preset distance; the area between the first detector and the second detector is a stagnation area;
所述地磁车辆检测器用于获取驶入和驶出所述滞留区的车辆数,并根据驶入车辆数和驶出车辆数计算所述滞留区内的滞留车辆数和饱和车头时距;The geomagnetic vehicle detector is used to obtain the number of vehicles entering and leaving the stranded area, and calculate the number of stranded vehicles and the saturated headway in the stranded area according to the number of vehicles entering and leaving the area;
所述车载单元安装在汽车上,所述车载单元用于向所述路侧单元发送车辆的速度和位置信息;The on-board unit is installed on the car, and the on-board unit is used for sending the speed and position information of the vehicle to the roadside unit;
所述路侧单元安装在道路交叉口,所述路侧单元用于获取所述滞留车辆数和饱和车头时距,并根据所述滞留车辆数、所述饱和车头时距、所述车辆的速度和所述位置信息确定关键车流量,以及利用所述关键车流量和所述饱和车头时距计算绿灯时长。The roadside unit is installed at a road intersection, and the roadside unit is used to obtain the number of stranded vehicles and the saturated headway, and according to the number of stranded vehicles, the saturated headway, and the speed of the vehicle and the position information to determine the critical traffic flow, and use the critical traffic flow and the saturated headway to calculate the green light duration.
一种交通信号灯绿灯时长确定方法,应用于上述的交通信号灯绿灯时长确定装置,所述交通信号灯绿灯时长确定方法包括:A method for determining the green light duration of a traffic signal, which is applied to the above-mentioned device for determining the green light duration of a traffic signal, wherein the method for determining the green duration of a traffic signal comprises:
获取信号灯初始信号方案、预设启动损失时间和信号灯相位集合;Obtain the initial signal scheme of the signal light, the preset start-up loss time and the signal light phase set;
根据所述信号灯初始信号方案初始化当前的信号灯相位i的绿灯时长;i=1,2,...,n,n表示相位总数;Initialize the green light duration of the current signal light phase i according to the signal light initial signal scheme; i=1,2,...,n, n represents the total number of phases;
执行所述当前的信号灯相位i;execute the current signal light phase i;
获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数;所述车道组包括同一行驶方向的多个车道;Obtain the number of entering vehicles and the number of exiting vehicles of the lane group corresponding to the signal light phase i+1; the lane group includes multiple lanes in the same driving direction;
利用所述驶入车辆数和所述驶出车辆数计算得到所述车道组的最大滞留车辆数;Calculate the maximum number of stranded vehicles in the lane group by using the number of entering vehicles and the number of exiting vehicles;
获取所述车道任意两辆车连续通过停止线的时间间隔;Obtain the time interval during which any two vehicles in the lane continuously pass the stop line;
利用所述时间间隔计算所述饱和车头时距;calculating the saturated headway using the time interval;
获取车载单元的车辆的速度和位置信息;Obtain the speed and position information of the vehicle of the on-board unit;
比较所述车辆的速度和位置信息以及所述最大滞留车辆数得到关键车流量;Comparing the speed and position information of the vehicle and the maximum number of stranded vehicles to obtain a critical traffic flow;
利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长。The green light duration of the signal light phase i+1 is calculated by using the critical traffic flow, the preset starting loss time and the saturated headway.
可选的,在所述利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长之前,还包括:Optionally, before calculating the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset start loss time and the saturated headway, the method further includes:
判断所述关键车流量是否为0,得到第一判断结果;Judging whether the key traffic flow is 0, and obtaining a first judgment result;
所述第一判断结果为否,执行步骤“利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长”;If the first judgment result is no, execute the step of "calculating the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset starting loss time and the saturated headway distance";
所述第一判断结果为是,令i加1,返回步骤“获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数”;The first judgment result is yes, add 1 to i, and return to the step "obtaining the number of vehicles entering and leaving the lane group corresponding to signal lamp phase i+1";
在所述利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长之后,还包括:After the calculation of the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset start loss time and the saturated headway, the method further includes:
令i加1,返回步骤“执行所述当前的信号灯相位i”。Let i increase by 1, and return to the step "execute the current signal light phase i".
可选的,所述利用所述驶入车辆数和所述驶出车辆数计算得到所述车道组的最大滞留车辆数,具体包括:Optionally, the calculation to obtain the maximum number of stranded vehicles in the lane group by using the number of incoming vehicles and the number of outgoing vehicles specifically includes:
利用所述驶入车辆数和所述驶出车辆数计算得到所述车道组的单车道的滞留车辆数;Calculate the number of stranded vehicles in a single lane of the lane group by using the number of incoming vehicles and the number of outgoing vehicles;
比较所有所述单车道的滞留车辆数得到最大滞留车辆数;Comparing the number of stranded vehicles in all of the single lanes to obtain the maximum number of stranded vehicles;
所述利用所述时间间隔计算所述饱和车头时距,具体包括:The calculating the saturated headway by using the time interval specifically includes:
获取多个任意两辆车连续通过停止线的时间间隔;Get multiple time intervals for any two vehicles to continuously pass the stop line;
计算多个所述时间间隔的平均值,所述平均值为饱和车头时距。An average value of a plurality of the time intervals is calculated, and the average value is the saturated headway.
可选的,所述比较所述车辆的速度和位置信息以及所述最大滞留车辆数得到关键车流量,具体包括:Optionally, the comparison of the speed and position information of the vehicle and the maximum number of stranded vehicles to obtain a critical traffic flow specifically includes:
根据所述车辆的速度和位置信息确定所述单车道的排队车辆数;determining the number of queued vehicles in the single lane according to the speed and position information of the vehicles;
判断所述排队车辆数是否大于所述最大滞留车辆数,得到第二判断结果;Judging whether the number of queued vehicles is greater than the maximum number of stranded vehicles, and obtaining a second judgment result;
所述第二判断结果为是,确定所述排队车辆数为所述关键车流量;The second judgment result is yes, determining that the number of queued vehicles is the critical traffic flow;
所述第二判断结果为否,确定所述最大滞留车辆数为所述关键车流量。If the second judgment result is no, it is determined that the maximum number of stranded vehicles is the critical traffic flow.
可选的,所述利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长,具体包括:Optionally, the calculation to obtain the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset start loss time and the saturated headway, specifically includes:
根据公式计算得到所述信号灯相位i+1的绿灯时长;According to the formula Calculate the green light duration of the signal light phase i+1;
其中,表示所述信号灯相位i+1的绿灯时长,表示所述关键车流量,h表示所述饱和车头时距,t表示预设启动损失时间。in, represents the green light duration of the signal light phase i+1, represents the critical traffic flow, h represents the saturated headway, and t represents the preset start loss time.
一种交通信号灯绿灯时长确定系统,包括:A system for determining the green light duration of a traffic signal, comprising:
第一获取模块,用于获取信号灯初始信号方案、预设启动损失时间和信号灯相位集合;The first acquisition module is used to acquire the initial signal scheme of the signal light, the preset start-up loss time and the signal light phase set;
初始化模块,用于根据所述信号灯初始信号方案初始化当前的信号灯相位i的绿灯时长;i=1,2,...,n,n表示相位总数;an initialization module, used for initializing the green light duration of the current signal light phase i according to the signal light initial signal scheme; i=1,2,...,n, n represents the total number of phases;
执行模块,用于执行所述当前的信号灯相位i;an execution module, configured to execute the current signal light phase i;
第二获取模块,用于获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数;所述车道组包括同一行驶方向的多个车道;The second obtaining module is used to obtain the number of entering vehicles and the number of exiting vehicles of the lane group corresponding to the signal light phase i+1; the lane group includes a plurality of lanes in the same driving direction;
最大滞留车辆数模块,用于利用所述驶入车辆数和所述驶出车辆数计算得到所述车道组的最大滞留车辆数;a module for the maximum number of stranded vehicles, configured to calculate the maximum number of stranded vehicles in the lane group by using the number of incoming vehicles and the number of outgoing vehicles;
时间间隔模块,用于获取所述车道任意两辆车连续通过停止线的时间间隔;a time interval module, used to obtain the time interval during which any two vehicles in the lane continuously pass the stop line;
饱和车头时距模块,用于利用所述时间间隔计算所述饱和车头时距;a saturated headway module, configured to calculate the saturated headway by using the time interval;
第三获取模块,用于获取车载单元的车辆的速度和位置信息;The third acquisition module is used to acquire the speed and position information of the vehicle of the on-board unit;
关键车流量模块,用于比较所述车辆的速度和位置信息以及所述最大滞留车辆数得到关键车流量;a critical traffic flow module, configured to obtain a critical traffic flow by comparing the speed and position information of the vehicle and the maximum number of stranded vehicles;
绿灯时长模块,用于利用所述关键车流量、所述预设启动损失时间和所述饱和车头时距计算得到所述信号灯相位i+1的绿灯时长。A green light duration module, configured to calculate the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset start loss time and the saturated headway.
可选的,所述最大滞留车辆数模块,具体包括:Optionally, the module for the maximum number of stranded vehicles specifically includes:
滞留车辆数单元,用于利用所述驶入车辆数和所述驶出车辆数计算得到所述车道组的单车道的滞留车辆数;A stranded vehicle number unit, configured to calculate the number of stranded vehicles in a single lane of the lane group by using the number of incoming vehicles and the number of outgoing vehicles;
最大滞留车辆数单元,用于比较所有所述单车道的滞留车辆数得到最大滞留车辆数;a unit for the maximum number of stranded vehicles, which is used to compare the number of stranded vehicles in all the single lanes to obtain the maximum number of stranded vehicles;
所述饱和车头时距模块,具体包括:The saturated headway module specifically includes:
时间间隔单元,用于获取多个任意两辆车连续通过停止线的时间间隔;The time interval unit is used to obtain a plurality of time intervals for any two vehicles to continuously pass the stop line;
饱和车头时距单元,用于计算多个所述时间间隔的平均值,所述平均值为饱和车头时距。The saturated headway unit is used to calculate the average value of a plurality of the time intervals, and the average value is the saturated headway.
可选的,所述关键车流量模块,具体包括:Optionally, the key traffic flow module specifically includes:
排队车辆数单元,用于根据所述车辆的速度和位置信息确定所述单车道的排队车辆数;A queued vehicle number unit, configured to determine the number of queued vehicles in the single lane according to the speed and position information of the vehicle;
第二判断单元,用于判断所述排队车辆数是否大于所述最大滞留车辆数,得到第二判断结果;a second judging unit, configured to judge whether the number of queued vehicles is greater than the maximum number of stranded vehicles, and obtain a second judgment result;
第二是单元,用于所述第二判断结果为是,确定所述排队车辆数为所述关键车流量;The second is a unit, used for determining that the second judgment result is yes, and determining that the number of queued vehicles is the key traffic flow;
第二否单元,用于所述第二判断结果为否,确定所述最大滞留车辆数为所述关键车流量。A second No unit, configured to determine that the second judgment result is No, and determine that the maximum number of stranded vehicles is the critical traffic flow.
可选的,所述绿灯时长模块,具体包括:Optionally, the green light duration module specifically includes:
绿灯时长单元,用于根据公式计算得到所述信号灯相位i+1的绿灯时长;Green light duration unit, used according to the formula Calculate the green light duration of the signal light phase i+1;
其中,表示所述信号灯相位i+1的绿灯时长,表示所述关键车流量,h表示所述饱和车头时距,t表示预设启动损失时间。in, represents the green light duration of the signal light phase i+1, represents the critical traffic flow, h represents the saturated headway, and t represents the preset start loss time.
根据本发明提供的具体实施例,本发明公开了以下技术效果:According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:
本发明提供了一种交通信号灯绿灯时长确定装置、方法及系统。该方法包括:获取信号灯初始信号方案、预设启动损失时间和信号灯相位集合;根据信号灯初始信号方案初始化当前的信号灯相位i的绿灯时长;执行当前的信号灯相位i;获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数;车道组包括同一行驶方向的多个车道;利用驶入车辆数和驶出车辆数计算得到车道组的最大滞留车辆数;获取车道任意两辆车连续通过停止线的时间间隔;利用时间间隔计算饱和车头时距;获取车载单元的车辆的速度和位置信息;比较车辆的速度和位置信息以及最大滞留车辆数得到关键车流量;利用关键车流量、预设启动损失时间和饱和车头时距计算得到信号灯相位i+1的绿灯时长。本发明利用安装在交叉口各车道的地磁车辆检测器和安装在车辆上的车载单元(On board Unit,OBU)实时获取交叉口每个车道所有车辆的状态信息,根据地磁车辆检测器和车载单元的信息确定车道的关键车流量,利用关键车流量、预设启动损失时间和饱和车头时距计算此相位排队车辆的最佳绿灯时长,可以有效缓解交叉口信号灯配时不合理带来的车辆通行效率低问题,在减少车辆在交叉口的排队时间同时有效减少车辆的排放量。The invention provides a device, method and system for determining the green light duration of a traffic signal. The method includes: acquiring an initial signal scheme of a signal light, a preset start-up loss time and a set of signal light phases; initializing the green light duration of the current signal light phase i according to the initial signal light scheme; executing the current signal light phase i; and obtaining the lane corresponding to the signal light phase i+1 The number of vehicles entering and leaving the group; the lane group includes multiple lanes in the same driving direction; the maximum number of stranded vehicles in the lane group is calculated by the number of vehicles entering and leaving the lane; any two consecutive vehicles in the lane are obtained Through the time interval of the stop line; use the time interval to calculate the saturated headway; obtain the speed and position information of the vehicle in the on-board unit; compare the speed and position information of the vehicle and the maximum number of stranded vehicles to obtain the key traffic flow; The green light duration of the signal light phase i+1 is calculated by setting the starting loss time and the saturated headway. The present invention utilizes the geomagnetic vehicle detector installed in each lane of the intersection and the On Board Unit (OBU) installed on the vehicle to obtain the status information of all vehicles in each lane of the intersection in real time. The information to determine the key traffic flow of the lane, and use the key traffic flow, the preset starting loss time and the saturated headway to calculate the optimal green light duration of the queuing vehicles in this phase, which can effectively alleviate the traffic caused by the unreasonable timing of the signal lights at the intersection. The problem of low efficiency can effectively reduce vehicle emissions while reducing the queuing time of vehicles at intersections.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the present invention. In the embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative labor.
图1为本发明实施例所提供的交通信号灯绿灯时长确定装置的结构图;FIG. 1 is a structural diagram of a device for determining the green light duration of a traffic signal provided by an embodiment of the present invention;
图2为本发明实施例所提供的交通信号灯绿灯时长确定方法的流程图;2 is a flowchart of a method for determining the green light duration of a traffic signal provided by an embodiment of the present invention;
图3为本发明实施例所提供的交通信号灯绿灯时长确定系统的系统图;3 is a system diagram of a system for determining the green light duration of a traffic signal provided by an embodiment of the present invention;
图4为本发明实施例所提供的地磁车辆检测器的布置示意图。FIG. 4 is a schematic layout diagram of a geomagnetic vehicle detector provided by an embodiment of the present invention.
其中,1、地磁车辆检测器;2、车载单元;3、路侧单元;4、滞留区。Among them, 1. Geomagnetic vehicle detector; 2. Vehicle-mounted unit; 3. Roadside unit; 4. Detention area.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
本发明的目的是提供一种交通信号灯绿灯时长确定装置、方法及系统,解决了现有信号灯时长确定方法车辆通行效率低的问题。The purpose of the present invention is to provide a device, method and system for determining the green light duration of a traffic signal, which solves the problem of low vehicle traffic efficiency in the prior method for determining the duration of a signal light.
为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合附图和具体实施方式对本发明作进一步详细的说明。In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
本实施例提供一种交通信号灯绿灯时长确定装置,图1为本发明实施例所提供的交通信号灯绿灯时长确定装置的结构图,参见图1,交通信号灯绿灯时长确定装置包括:地磁车辆检测器1、车载单元2和路侧单元3。This embodiment provides an apparatus for determining the green light duration of a traffic signal. FIG. 1 is a structural diagram of the apparatus for determining the green light duration of a traffic signal provided by an embodiment of the present invention. Referring to FIG. 1 , the apparatus for determining the green light duration of a traffic signal includes: a
地磁车辆检测器1的数量为多组,每个车道安装一组地磁车辆检测器1。地磁车辆检测器1与路侧单元3无线连接。There are multiple sets of
每组地磁车辆检测器均包括:第一检测器和第二检测器;第一检测器安装在车道的停止线,第二检测器安装在距离第一检测器的预设距离处;第一检测器和第二检测器之间的区域为滞留区。第一检测器用于检测驶入滞留区的驶入车辆数,第二检测器用于检测驶出滞留区的驶出车辆数。滞留区的长度,即第二检测器与第一检测器之间的预设距离可以根据交通信号灯所在交叉路口的最长车辆排队长度确定。Each group of geomagnetic vehicle detectors includes: a first detector and a second detector; the first detector is installed at the stop line of the lane, and the second detector is installed at a preset distance from the first detector; the first detector The area between the detector and the second detector is the stagnant zone. The first detector is used to detect the number of vehicles entering the stagnant area, and the second detector is used to detect the number of vehicles that have exited the stagnant area. The length of the holding area, that is, the preset distance between the second detector and the first detector, may be determined according to the longest vehicle queuing length at the intersection where the traffic signal light is located.
地磁车辆检测器用于获取驶入滞留区的驶入车辆数和驶出滞留区的驶出车辆数,并根据驶入车辆数和驶出车辆数计算滞留区内的滞留车辆数和饱和车头时距。The geomagnetic vehicle detector is used to obtain the number of vehicles entering the detention area and the number of vehicles leaving the detention area, and calculate the number of vehicles staying in the detention area and the saturated headway according to the number of vehicles entering and leaving the area. .
车载单元2安装在汽车上,车载单元2用于向路侧单元3发送车辆的速度和位置信息。车载单元2包括:速度传感器、车辆定位传感器以及车用无线通信(vehicle to X,V2X通信)模块。车载单元以200毫秒(ms)为固定周期向路侧单元3发送车辆实时状态信息,车载单元安装于车载导航系统周围。车辆实时状态信息包括车辆的实时位置信息和速度信息。车载单元与路侧单元3无线连接。The on-board unit 2 is installed on the car, and the on-board unit 2 is used to transmit the speed and position information of the vehicle to the
路侧单元3安装在道路交叉口,路侧单元3用于获取滞留车辆数和饱和车头时距,并根据滞留车辆数、饱和车头时距、车辆的速度和位置信息确定关键车流量,以及利用关键车流量和饱和车头时距计算绿灯时长。The
本实施例提供一种交通信号灯绿灯时长确定方法,应用于一种交通信号灯绿灯时长确定装置,图2为本发明实施例所提供的交通信号灯绿灯时长确定方法的流程图。参见图2,交通信号灯绿灯时长确定方法包括:This embodiment provides a method for determining the green light duration of a traffic signal, which is applied to a device for determining the green light duration of a traffic signal. FIG. 2 is a flowchart of the method for determining the green duration of a traffic signal provided by the embodiment of the present invention. Referring to Figure 2, the method for determining the green light duration of a traffic signal includes:
步骤101,获取信号灯初始信号方案、预设启动损失时间和信号灯相位集合。Step 101: Obtain the initial signal scheme of the signal lamp, the preset start-up loss time and the signal lamp phase set.
步骤102,根据信号灯初始信号方案初始化当前的信号灯相位i的绿灯时长;i表示相序,即相位序号,i=1,2,...,n,n表示相位总数。Step 102: Initialize the green light duration of the current signal light phase i according to the signal light initial signal scheme; i represents the phase sequence, that is, the phase serial number, i=1, 2, . . . n, n represents the total number of phases.
步骤103,执行当前的信号灯相位i。Step 103: Execute the current signal light phase i.
步骤104,获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数;车道组包括同一行驶方向的多个车道。Step 104: Acquire the number of entering vehicles and the number of exiting vehicles of the lane group corresponding to the signal light phase i+1; the lane group includes multiple lanes in the same driving direction.
步骤105,利用驶入车辆数和驶出车辆数计算得到车道组的最大滞留车辆数。Step 105: Calculate the maximum number of stranded vehicles in the lane group by using the number of entering vehicles and the number of exiting vehicles.
步骤105具体包括:Step 105 specifically includes:
利用驶入车辆数和驶出车辆数计算得到车道组的单车道的滞留车辆数。单车道的滞留车辆数为该单车道的驶入车辆数与驶出车辆数之差。Calculate the number of stranded vehicles in a single lane of the lane group by using the number of incoming vehicles and the number of outgoing vehicles. The number of stranded vehicles in a single lane is the difference between the number of vehicles entering and the number of vehicles leaving the lane.
比较所有单车道的滞留车辆数得到最大滞留车辆数。Compare the number of stranded vehicles in all single lanes to get the maximum stranded vehicle count.
步骤106,获取车道任意两辆车连续通过停止线的时间间隔。Step 106: Obtain the time interval during which any two vehicles in the lane continuously pass the stop line.
步骤107,利用时间间隔计算饱和车头时距。
步骤107具体包括:Step 107 specifically includes:
获取多个任意两辆车连续通过停止线的时间间隔。因为存在启动损失时间,所以在获取时间间隔时剔除前三辆车之间的时间间隔。Get multiple time intervals when any two vehicles pass the stop line in a row. Because of the startup lost time, the time interval between the first three vehicles is excluded when obtaining the time interval.
计算多个时间间隔的平均值,平均值为饱和车头时距。Calculate the average of multiple time intervals, and the average is the saturated headway.
步骤108,获取车载单元的车辆的速度和位置信息。Step 108: Acquire the speed and position information of the vehicle of the vehicle-mounted unit.
步骤109,比较车辆的速度和位置信息以及最大滞留车辆数得到关键车流量。
步骤109具体包括:Step 109 specifically includes:
根据车辆的速度和位置信息确定单车道的排队车辆数。Determine the number of queued vehicles in a single lane based on vehicle speed and position information.
判断排队车辆数是否大于最大滞留车辆数,得到第二判断结果。It is judged whether the number of queued vehicles is greater than the maximum number of stranded vehicles, and a second judgment result is obtained.
第二判断结果为是,确定排队车辆数为关键车流量。The second judgment result is yes, and the number of queued vehicles is determined as the key traffic flow.
第二判断结果为否,确定最大滞留车辆数为关键车流量。The second judgment result is no, and it is determined that the maximum number of stranded vehicles is the key traffic flow.
步骤110,判断关键车流量是否为0,得到第一判断结果。
第一判断结果为否,执行步骤112“利用关键车流量、预设启动损失时间和饱和车头时距计算得到信号灯相位i+1的绿灯时长”。If the first judgment result is no, step 112 is executed to "calculate the green light duration of the signal light phase i+1 by using the critical traffic flow, the preset starting loss time and the saturated headway."
步骤111,第一判断结果为是,令i加1,返回步骤104“获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数”。Step 111 , the first judgment result is yes, add 1 to i, and return to step 104 "obtain the number of vehicles entering and exiting the lane group corresponding to signal lamp phase i+1".
步骤112,利用关键车流量、预设启动损失时间和饱和车头时距计算得到信号灯相位i+1的绿灯时长。
步骤112具体包括:Step 112 specifically includes:
根据公式计算得到信号灯相位i+1的绿灯时长。According to the formula Calculate the green light duration of the signal light phase i+1.
上式中,表示信号灯相位i+1的绿灯时长,表示关键车流量,h表示饱和车头时距,t表示预设启动损失时间。In the above formula, Indicates the green light duration of signal light phase i+1, represents the critical traffic flow, h represents the saturated headway, and t represents the preset starting loss time.
步骤113,令i加1,返回步骤103“执行当前的信号灯相位i”。
本实施例提供一种交通信号灯绿灯时长确定系统,图3为本发明实施例所提供的交通信号灯绿灯时长确定系统的系统图。参见图3,交通信号灯绿灯时长确定系统包括:This embodiment provides a system for determining the green light duration of a traffic signal. FIG. 3 is a system diagram of the system for determining the green duration of a traffic signal provided by an embodiment of the present invention. Referring to Figure 3, the traffic signal green light duration determination system includes:
第一获取模块201,用于获取信号灯初始信号方案、预设启动损失时间和信号灯相位集合。The first obtaining
初始化模块202,用于根据信号灯初始信号方案初始化当前的信号灯相位i的绿灯时长;i表示相序,即相位序号,i=1,2,...,n,n表示相位总数。The
执行模块203,用于执行当前的信号灯相位i。The
第二获取模块204,用于获取信号灯相位i+1对应车道组的驶入车辆数和驶出车辆数;车道组包括同一行驶方向的多个车道。The second obtaining
最大滞留车辆数模块205,用于利用驶入车辆数和驶出车辆数计算得到车道组的最大滞留车辆数。The maximum number of stranded
最大滞留车辆数模块205具体包括:The maximum number of stranded
滞留车辆数单元,用于利用驶入车辆数和驶出车辆数计算得到车道组的单车道的滞留车辆数。单车道的滞留车辆数为该单车道的驶入车辆数与驶出车辆数之差。The number of stranded vehicles is used to calculate the number of stranded vehicles in a single lane of the lane group by using the number of inbound vehicles and the number of outbound vehicles. The number of stranded vehicles in a single lane is the difference between the number of vehicles entering and the number of vehicles leaving the lane.
最大滞留车辆数单元,用于比较所有单车道的滞留车辆数得到最大滞留车辆数。The unit of the maximum number of stranded vehicles is used to compare the number of stranded vehicles in all single lanes to obtain the maximum number of stranded vehicles.
时间间隔模块206,用于获取车道任意两辆车连续通过停止线的时间间隔。The
饱和车头时距模块207,用于利用时间间隔计算饱和车头时距。The saturated
饱和车头时距模块207,具体包括:The saturated
时间间隔单元,用于获取多个任意两辆车连续通过停止线的时间间隔。因为存在启动损失时间,所以在获取时间间隔时剔除前三辆车之间的时间间隔。The time interval unit is used to obtain multiple time intervals during which any two vehicles continuously pass the stop line. Because of the startup lost time, the time interval between the first three vehicles is excluded when obtaining the time interval.
饱和车头时距单元,用于计算多个时间间隔的平均值,平均值为饱和车头时距。The saturated headway unit is used to calculate the average value of multiple time intervals, and the average value is the saturated headway.
第三获取模块208,用于获取车载单元的车辆的速度和位置信息。The third obtaining
关键车流量模块209,用于比较车辆的速度和位置信息以及最大滞留车辆数得到关键车流量。The critical
关键车流量模块209具体包括:The key
排队车辆数单元,用于根据车辆的速度和位置信息确定单车道的排队车辆数。The unit for the number of queued vehicles is used to determine the number of queued vehicles in a single lane according to the speed and position information of the vehicles.
第二判断单元,用于判断排队车辆数是否大于最大滞留车辆数,得到第二判断结果。The second judging unit is configured to judge whether the number of queued vehicles is greater than the maximum number of stranded vehicles, and obtain a second judgment result.
第二是单元,用于第二判断结果为是,确定排队车辆数为关键车流量。The second is a unit for determining the number of queued vehicles as the key traffic flow when the second judgment result is yes.
第二否单元,用于第二判断结果为否,确定最大滞留车辆数为关键车流量。The second no unit is used for determining that the second judgment result is no, and determining the maximum number of stranded vehicles as the key traffic flow.
第一判断模块210,用于判断关键车流量是否为0,得到第一判断结果;第一判断结果为否,执行绿灯时长模块212;第一判断结果为是,执行第一是模块211。The
第一是模块211,用于令i加1,执行第二获取模块204。The first is the
绿灯时长模块212,用于利用关键车流量、预设启动损失时间和饱和车头时距计算得到信号灯相位i+1的绿灯时长。The green
绿灯时长模块212具体包括:The green
绿灯时长单元,用于根据公式计算得到信号灯相位i+1的绿灯时长。Green light duration unit, used according to the formula Calculate the green light duration of the signal light phase i+1.
上式中,表示信号灯相位i+1的绿灯时长,表示关键车流量,h表示饱和车头时距,t表示预设启动损失时间。In the above formula, Indicates the green light duration of signal light phase i+1, represents the critical traffic flow, h represents the saturated headway, and t represents the preset starting loss time.
返回模块213,用于令i加1,执行模块203。Returning to block 213, for adding 1 to i, and executing
本实施例还提供一种基于信息融合技术的单交叉口交通信号灯绿灯时长智能调节方法,在交叉口的每个进口车道均布置一组地磁车辆检测器,地磁车辆检测器的第一检测器和第二检测器分别用于检测驶出进口车道和驶入进口车道的车辆数;通过交叉口的车辆上配备有车载单元,车载单元设有速度传感器、车辆定位传感器和V2X通信模块,车载单元以200ms为固定周期将车辆实时状态信息发送至进口车道的路侧单元,车载单元的安装位置与车载导航系统一致;路侧单元结合地磁车辆检测器的检测数据和车辆实时状态信息计算每个进口车道的实时排队车辆数和饱和车头时距,并确定每个车道组的关键车流量,以及基于关键车流量计算当前具有通行权相位的最佳绿灯时长,当该相位结束后确定下一相位的绿灯时长;路测单元将最佳绿灯时长发送至交叉口的交通灯信号控制器以实现对交通信号灯绿灯时长的控制,从而达到适应当前交通状态的实时动态信号灯绿灯时长调节,优化交叉口的交通通行效率。This embodiment also provides a method for intelligently adjusting the green light duration of a traffic signal at a single intersection based on information fusion technology. A set of geomagnetic vehicle detectors are arranged in each entry lane of the intersection, and the first detector of the geomagnetic vehicle detector and the The second detectors are respectively used to detect the number of vehicles exiting the entry lane and entering the entry lane; vehicles passing through the intersection are equipped with on-board units, which are provided with speed sensors, vehicle positioning sensors and V2X communication modules. 200ms is a fixed period to send the real-time status information of the vehicle to the roadside unit of the entrance lane. The installation position of the vehicle-mounted unit is consistent with the vehicle navigation system; the roadside unit combines the detection data of the geomagnetic vehicle detector and the real-time vehicle status information to calculate each entrance lane. The real-time number of queuing vehicles and the saturated headway, and determine the key traffic flow of each lane group, and calculate the optimal green light duration of the current phase with the right of way based on the key traffic flow, and determine the green light of the next phase when the phase ends Duration; the drive test unit sends the optimal green light duration to the traffic light signal controller at the intersection to realize the control of the green light duration of the traffic signal, so as to achieve the real-time dynamic signal green duration adjustment that adapts to the current traffic state, and optimize the traffic flow at the intersection. efficiency.
绿灯时长智能调节方法具体包括:The intelligent adjustment method of green light duration includes:
(1)交通实时状态感知(1) Real-time traffic status perception
交通实时状态感知由地磁车辆检测器和车载单元两部分实现:The real-time traffic status perception is realized by the geomagnetic vehicle detector and the vehicle-mounted unit:
地磁车辆检测器采用地磁线圈,当车辆经过地磁线圈时,车辆会对磁场切割产生传感信号,传感信号通过无线传输至路侧单元。图4为本发明实施例所提供的地磁车辆检测器的布置示意图,参见图4,每个进口车道均布置一组地磁车辆检测器,每组地磁车辆检测器均包括:第一检测器D(out)和第二检测器D(in),第一检测器D(out)安装在进口车道的停止线,第二检测器D(in)安装在距离第一检测器预设距离处。第一检测器D(out)与第二检测器D(in)之间的区域为滞留区4,滞留区4的长度大于或等于交叉口的历史最大排队长度,本实施例中预设距离,即滞留区的长度为100米。第一检测器用于检测驶出滞留区的车辆数,第二检测器用于检测驶入滞留区的车辆数。路侧单元的设置位置与交叉口安装的交通灯信号控制器位置一致。The geomagnetic vehicle detector uses a geomagnetic coil. When the vehicle passes through the geomagnetic coil, the vehicle will generate a sensing signal for cutting the magnetic field, and the sensing signal is transmitted to the roadside unit wirelessly. FIG. 4 is a schematic diagram of the arrangement of the geomagnetic vehicle detector provided by the embodiment of the present invention. Referring to FIG. 4 , a group of geomagnetic vehicle detectors are arranged in each entrance lane, and each group of geomagnetic vehicle detectors includes: a first detector D ( out) and a second detector D(in), the first detector D(out) is installed at the stop line of the entry lane, and the second detector D(in) is installed at a preset distance from the first detector. The area between the first detector D(out) and the second detector D(in) is the stagnant area 4, and the length of the stagnant area 4 is greater than or equal to the historical maximum queue length of the intersection. In this embodiment, the preset distance, That is, the length of the detention area is 100 meters. The first detector is used to detect the number of vehicles that have left the stagnant area, and the second detector is used to detect the number of vehicles that have entered the stagnant area. The installation position of the roadside unit is consistent with the position of the traffic light signal controller installed at the intersection.
一个车道组包括同一行驶方向的一个或多个车道。A lane group consists of one or more lanes in the same direction of travel.
一组地磁车辆检测器可以准确的确定每一时刻滞留区内的车辆数,具体为:本实施例不考虑交叉口的右转车辆,所以交叉口的车道组包括直行车道组和左转车道组,直行车道组包括两个直行车道,左转车道组包括一个左转车道。设直行车道组直行车道的驶入车辆数为驶出车辆数为左转车道组左转车道的驶入车辆数为驶出车辆数为根据公式(1)计算直行车道组单车道内的滞留车辆数:A set of geomagnetic vehicle detectors can accurately determine the number of vehicles in the detention area at each moment, specifically: this embodiment does not consider right-turn vehicles at the intersection, so the lane group at the intersection includes a straight-through lane group and a left-turn lane group. , the straight lane group includes two straight lanes, and the left-turn lane group includes one left-turn lane. Let the number of vehicles entering the straight lane of the straight lane group be The number of outgoing vehicles is The number of vehicles entering the left-turn lane in the left-turn lane group is The number of outgoing vehicles is Calculate the number of stranded vehicles in a single lane of the straight-through lane group according to formula (1):
上式中,j表示直行车道的序号,j=1,2,...,J,J表示直行车道的总数;表示第j个直行车道滞留区内的滞留车辆数,表示第j个直行车道的驶入车辆数,表示第j个直行车道的驶出车辆数。In the above formula, j represents the serial number of the straight lane, j=1,2,...,J, J represents the total number of straight lanes; represents the number of stranded vehicles in the j-th through lane stranded area, represents the number of vehicles entering the j-th straight lane, Indicates the number of vehicles exiting the j-th straight lane.
根据公式(2)计算左转车道组单车道内的滞留车辆数:Calculate the number of stranded vehicles in a single lane of the left-turn lane group according to formula (2):
上式中,p表示左转车道的序号,p=1,2,...,P,P表示左转车道的总数;表示第p个左转车道滞留区内的滞留车辆数,表示第p个左转车道的驶入车辆数,表示第p个左转车道的驶出车辆数。In the above formula, p represents the serial number of the left-turn lane, p=1,2,...,P, and P represents the total number of left-turn lanes; represents the number of stranded vehicles in the p-th left-turn lane stranded area, represents the number of vehicles entering the p-th left-turn lane, Indicates the number of vehicles exiting the p-th left-turn lane.
根据公式(3)计算所有直行车道的直行最大滞留车辆数 Calculate the maximum number of straight-going vehicles in all straight-going lanes according to formula (3)
上式中,j表示直行车道的序号,j=1,2,...,J,J表示直行车道的总数;表示第j个直行车道滞留区内的滞留车辆数。In the above formula, j represents the serial number of the straight lane, j=1,2,...,J, J represents the total number of straight lanes; Indicates the number of stranded vehicles in the j-th through lane stranded area.
根据公式(4)计算所有左转车道的左转最大滞留车辆数Ql*:Calculate the maximum number of left-turn stranded vehicles Q l* in all left-turn lanes according to formula (4):
上式中,p表示左转车道的序号,p=1,2,...,P,P表示左转车道的总数;表示第p个左转车道滞留区内的滞留车辆数。In the above formula, p represents the serial number of the left-turn lane, p=1,2,...,P, and P represents the total number of left-turn lanes; Indicates the number of stranded vehicles in the p-th left-turn lane stranded area.
饱和车头时距为进口车道的同一车道多个任意两辆车连续通过停止线,即第一检测器D(out)的时间间隔的平均值,因为存在启动损失时间,剔除车队前三辆车辆的时间间隔。The saturated headway is the average of any two vehicles in the same lane of the entry lane passing through the stop line continuously, that is, the average value of the time interval of the first detector D(out). time interval.
考虑进入交叉口的车辆在直行车道与左转车道之间发生变换,可以适当的延长直行车道与左转车道之间车道分界实线的长度,以防止车辆在进口车道滞留区内进行直行与左转之间的变换。Considering that the vehicle entering the intersection changes between the straight lane and the left-turn lane, the length of the solid line dividing the lane between the straight-going lane and the left-turn lane can be appropriately extended to prevent the vehicle from going straight and left in the stagnant zone of the entry lane. Transformation between turns.
当车辆驶入交叉口路侧单元信号的接收范围后,车辆车载单元的V2X通信模块以200ms的周期向路侧单元发送车辆自身的速度和位置信息。路侧单元根据车辆的速度确定该车辆是否停车,若车辆的车速为零,则车辆为停车状态;否则,车辆为未进入停车状态,进而判断车辆是否进入排队状态,停车状态的车辆为进入排队状态,未进入停车状态的车辆为未进入排队状态;同时路侧单元根据车辆的位置信息和滞留区的设置位置判断车辆是否处于滞留区内;最后路侧单元根据速度与位置信息确定滞留区内各单车道的排队车辆数,若车辆速度为零且位置处于滞留区内,则将车辆确定为排队车辆;否则确定车辆不是排队车辆。When the vehicle enters the receiving range of the signal of the roadside unit at the intersection, the V2X communication module of the vehicle onboard unit sends the vehicle's own speed and position information to the roadside unit at a cycle of 200ms. The roadside unit determines whether the vehicle is parked according to the speed of the vehicle. If the speed of the vehicle is zero, the vehicle is in the parked state; otherwise, the vehicle is not in the parked state, and then judges whether the vehicle enters the queued state, and the vehicle in the parked state is in the queued state. At the same time, the roadside unit determines whether the vehicle is in the detention area according to the position information of the vehicle and the setting position of the detention area; finally, the roadside unit determines the detention area according to the speed and position information. The number of queuing vehicles in each single lane. If the vehicle speed is zero and the position is in the detention area, the vehicle is determined as a queuing vehicle; otherwise, it is determined that the vehicle is not a queuing vehicle.
路侧单元比较地磁车辆检测器的最大滞留车辆数和车载单元的排队车辆数,若排队车辆数大于最大滞留车辆数,则确定排队车辆数为关键车流量;若排队车辆数小于或等于最大滞留车辆数,则确定最大滞留车辆数为关键车流量。The roadside unit compares the maximum number of stranded vehicles of the geomagnetic vehicle detector with the number of queuing vehicles of the on-board unit. If the number of queuing vehicles is greater than the maximum number of stranded vehicles, the number of queuing vehicles is determined as the key traffic flow; if the number of queuing vehicles is less than or equal to the maximum number of stranded vehicles number of vehicles, then determine the maximum number of stranded vehicles as the key traffic flow.
(2)相位最佳绿灯时长计算(2) Calculation of the optimal green light duration for the phase
获取交叉口信号灯初始信号方案,确定相位集合{Pi},i=1,2,…,n,n表示相位总数。在信号控制交叉口,其每一种控制状态(一种通行权),即对各种进口道不同方向所显示的不同灯色的组合,称为一个信号灯相位。从当前相位绿灯结束的一刻,即黄灯开始的一刻开始根据(1)交通实时状态感知确定下一相位具有通行权的车道组滞留区内的关键车流量 Obtain the initial signal scheme of the signal light at the intersection, and determine the phase set {P i }, where i=1, 2, ..., n, where n represents the total number of phases. At the signal-controlled intersection, each control state (a right of way), that is, the combination of different light colors displayed in different directions of various entrances, is called a signal light phase. From the moment when the green light of the current phase ends, that is, the moment when the yellow light starts, according to (1) real-time traffic status perception, determine the key traffic flow in the detention area of the lane group with the right of way in the next phase
根据关键车流量、预设的启动损失时间和饱和车头时距利用公式(5)计算得到任一车道关键车流通过交叉口所需的通行时间即下一具有通行权的信号灯相位的绿灯时长:According to the critical traffic flow, the preset starting loss time and the saturated headway, the travel time required for the critical traffic flow in any lane to pass through the intersection is calculated by formula (5). That is, the green light duration of the next signal light phase with right of way:
上式中,表示信号灯相位i+1的绿灯时长,表示关键车流量,h表示饱和车头时距,t表示预设的启动损失时间,t一般为2s。若某一相位无车辆通行的需求,即关键车流量为零,则不计算该相位的绿灯时长。若所有相位均没有等待车辆,即关键车流量为零,则按照预设绿灯时长进行循环,避免所有进口均显示红灯,预设绿灯时长为30s。In the above formula, Indicates the green light duration of signal light phase i+1, Represents the critical traffic flow, h represents the saturated headway, t represents the preset starting loss time, and t is generally 2s. If there is no demand for vehicles in a certain phase, that is, the critical traffic flow is zero, the green light duration of this phase is not calculated. If there are no waiting vehicles in all phases, that is, the critical traffic flow is zero, the cycle will be performed according to the preset green light duration to prevent all entrances from displaying red lights, and the preset green light duration is 30s.
本发明计算的最佳绿灯时长可以满足交叉口的最佳通行需求,最佳绿灯时长与实际的排队车辆数相匹配,有多少辆车排队便将排队车辆通过交叉口的时间设置为绿灯时间,避免了绿灯时间过长造成的绿灯空放和绿灯时间过短造成的车辆二次排队现象。同时,本发明是一种智能调节方法,即随时响应动态变化的交通流,相对于交通信号的固定配时控制方式和感应式信号控制方式具有更强的鲁棒性和更好的实时性。综上,可以有效降低交叉口车辆的通行延误时间,提高交叉口的车辆通行效率。The optimal green light duration calculated by the present invention can meet the optimal traffic demand of the intersection, and the optimal green light duration matches the actual number of queuing vehicles. The time for the queuing vehicles to pass through the intersection is set as the green light time as many vehicles are queuing. It avoids the secondary queuing of vehicles caused by the long green light time and the vacant green light caused by the short green light time. At the same time, the present invention is an intelligent adjustment method, that is, it responds to dynamically changing traffic flow at any time, and has stronger robustness and better real-time performance than the fixed timing control mode of traffic signals and the inductive signal control mode. To sum up, it can effectively reduce the delay time of vehicles at the intersection and improve the efficiency of vehicle passing at the intersection.
本说明书中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。对于实施例公开的系统而言,由于其与实施例公开的方法相对应,所以描述的比较简单,相关之处参见方法部分说明即可。The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the various embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method.
本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处。综上所述,本说明书内容不应理解为对本发明的限制。In this paper, specific examples are used to illustrate the principles and implementations of the present invention. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present invention; meanwhile, for those skilled in the art, according to the present invention There will be changes in the specific implementation and application scope. In conclusion, the contents of this specification should not be construed as limiting the present invention.
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Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112037508A (en) * | 2020-08-13 | 2020-12-04 | 山东理工大学 | Intersection signal timing optimization method based on dynamic saturation flow rate |
CN112365714A (en) * | 2020-11-11 | 2021-02-12 | 武汉工程大学 | Traffic signal control method for intersection of intelligent rail passing main branch road |
CN112489456A (en) * | 2020-12-01 | 2021-03-12 | 山东交通学院 | Signal lamp regulation and control method and system based on urban trunk line vehicle queuing length |
CN112885117A (en) * | 2021-01-13 | 2021-06-01 | 长安大学 | Network communication control intersection control system and method |
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CN113936480A (en) * | 2021-11-11 | 2022-01-14 | 青岛海信网络科技股份有限公司 | Traffic signal control method and equipment |
CN114155725A (en) * | 2022-02-09 | 2022-03-08 | 山东科技大学 | A timing control method and device for a signal light at an intersection |
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GB2628557A (en) * | 2023-03-28 | 2024-10-02 | Mercedes Benz Group Ag | A traffic light device, a method for operating a traffic light device, and a corresponding arrangement of a traffic light device |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010271990A (en) * | 2009-05-22 | 2010-12-02 | Nippon Signal Co Ltd:The | Traffic signal control system |
CN102610094A (en) * | 2012-04-05 | 2012-07-25 | 郭海锋 | Traffic control method for dynamic coordination according to effective capacity of road section |
CN103337178A (en) * | 2013-06-28 | 2013-10-02 | 大连理工大学 | Traffic signal self-adaptive control method based on dynamic priority |
CN106251654A (en) * | 2016-09-21 | 2016-12-21 | 中兴软创科技股份有限公司 | Crossing based on time headway Dynamic Signal timing designing method |
CN106373411A (en) * | 2016-11-04 | 2017-02-01 | 东南大学 | Single point signal control optimization method based on intersection vehicle passing records |
CN108346306A (en) * | 2018-04-18 | 2018-07-31 | 吉林大学 | A kind of vehicle is interacted with signal information and adaptive control system |
-
2020
- 2020-01-15 CN CN202010041114.6A patent/CN111243301B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010271990A (en) * | 2009-05-22 | 2010-12-02 | Nippon Signal Co Ltd:The | Traffic signal control system |
CN102610094A (en) * | 2012-04-05 | 2012-07-25 | 郭海锋 | Traffic control method for dynamic coordination according to effective capacity of road section |
CN103337178A (en) * | 2013-06-28 | 2013-10-02 | 大连理工大学 | Traffic signal self-adaptive control method based on dynamic priority |
CN106251654A (en) * | 2016-09-21 | 2016-12-21 | 中兴软创科技股份有限公司 | Crossing based on time headway Dynamic Signal timing designing method |
CN106373411A (en) * | 2016-11-04 | 2017-02-01 | 东南大学 | Single point signal control optimization method based on intersection vehicle passing records |
CN108346306A (en) * | 2018-04-18 | 2018-07-31 | 吉林大学 | A kind of vehicle is interacted with signal information and adaptive control system |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112037508A (en) * | 2020-08-13 | 2020-12-04 | 山东理工大学 | Intersection signal timing optimization method based on dynamic saturation flow rate |
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WO2023005258A1 (en) * | 2021-07-26 | 2023-02-02 | 上海商汤智能科技有限公司 | Traffic intersection detection method and apparatus, electronic device, and storage medium |
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CN113936480B (en) * | 2021-11-11 | 2022-07-08 | 青岛海信网络科技股份有限公司 | Traffic signal control method and equipment |
CN113936480A (en) * | 2021-11-11 | 2022-01-14 | 青岛海信网络科技股份有限公司 | Traffic signal control method and equipment |
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CN114202916A (en) * | 2021-12-01 | 2022-03-18 | 辽宁警察学院 | Single-point intersection traffic signal control method |
CN114155725B (en) * | 2022-02-09 | 2022-05-10 | 山东科技大学 | A timing control method and device for a signal light at an intersection |
CN114155725A (en) * | 2022-02-09 | 2022-03-08 | 山东科技大学 | A timing control method and device for a signal light at an intersection |
CN115083179A (en) * | 2022-08-23 | 2022-09-20 | 江苏鼎集智能科技股份有限公司 | Intelligent traffic application service control system based on Internet of things |
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GB2628557A (en) * | 2023-03-28 | 2024-10-02 | Mercedes Benz Group Ag | A traffic light device, a method for operating a traffic light device, and a corresponding arrangement of a traffic light device |
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