CN106781435B - Non-signal control intersection vehicle formation passing method based on wireless communication - Google Patents
Non-signal control intersection vehicle formation passing method based on wireless communication Download PDFInfo
- Publication number
- CN106781435B CN106781435B CN201611163593.9A CN201611163593A CN106781435B CN 106781435 B CN106781435 B CN 106781435B CN 201611163593 A CN201611163593 A CN 201611163593A CN 106781435 B CN106781435 B CN 106781435B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- virtual
- intersection
- networked
- vehicles
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
本发明涉及一种基于无线通信的非信控交叉路口车辆编队通行方法,其步骤:网联车辆驶近非信控交叉路口时,利用无线通信将自身的身份编号、位置、速度和加速度信息进行广播;服务平台获取所有网联车辆的身份编号、位置、速度和加速度信息,确定每个网联车辆的虚拟前车,并将每个网联车辆的虚拟前车所对应真实车辆的身份编号进行广播;每个网联车辆获取自身的虚拟前车所对应真实车辆的身份编号,进而依据该身份编号获取虚拟前车所对应真实车辆的位置、速度和加速度信息,并进行坐标转换,变为等效前车,自动控制车辆跟踪等效前车,直至驶离交叉路口。本发明可大幅避免车辆在非信控交叉路口的减速、停车和起步过程,减小通行时间,提高非信控交叉路口的通行效率,同时降低对通信的需求。
The invention relates to a vehicle formation passing method at a non-signal-controlled intersection based on wireless communication. broadcast; the service platform obtains the ID number, position, speed and acceleration information of all connected vehicles, determines the virtual front vehicle of each connected vehicle, and compares the identity number of the real vehicle corresponding to the virtual front vehicle of each connected vehicle Broadcasting; each networked vehicle obtains the identity number of the real vehicle corresponding to its own virtual vehicle in front, and then obtains the position, speed and acceleration information of the real vehicle corresponding to the virtual vehicle in front according to the identity number, and performs coordinate conversion to become equal The vehicle in front is automatically controlled to track the vehicle in front until it leaves the intersection. The invention can largely avoid the deceleration, parking and starting process of the vehicle at the non-signal-controlled intersection, reduce the passing time, improve the passing efficiency of the non-signal-controlled intersection, and simultaneously reduce the demand for communication.
Description
技术领域technical field
本发明涉及一种智能交通系统领域,特别是关于一种基于无线通信的非信控交叉路口车辆编队通行方法。The invention relates to the field of intelligent traffic systems, in particular to a method for passing vehicles in formation at a non-signal-controlled intersection based on wireless communication.
背景技术Background technique
汽车技术的发明和发展在给人类带来便利的同时,也带来了一系列问题,而交通拥堵就是其中最主要的问题之一。统计显示,北京每个工作日因交通拥堵而带来的直接和间接的经济损失平均在千万元级别。因此,如何提升交叉路口通行效率,成为汽车和交通领域的研究重点。近年来,网联汽车(CV,Connected Vehicles)技术快速发展,可为解决上述问题提供新的思路,因而得到了汽车和交通领域的广泛关注。网联汽车通过车辆与车辆、车辆与路侧基础设施、车辆与互联网的通信,可以更广泛地获取周围环境信息,从而在感知、决策和控制层面实现车车、车路协同。在网联汽车技术的基础上,多个车辆以相对于自由驾驶条件下更短的车间距离进行编队行驶,形成车辆队列,不但可以降低风阻、减少油耗,更可以减小车流总体长度、降低通行时间、提升交通效率。While the invention and development of automobile technology has brought convenience to mankind, it has also brought a series of problems, and traffic congestion is one of the most important problems. Statistics show that the average direct and indirect economic losses caused by traffic congestion in Beijing every working day are at the level of tens of millions of yuan. Therefore, how to improve the traffic efficiency at intersections has become a research focus in the field of automobiles and traffic. In recent years, the rapid development of CV (Connected Vehicles) technology can provide new ideas to solve the above problems, and thus has attracted extensive attention in the fields of automobiles and transportation. Through the communication between vehicles and vehicles, between vehicles and roadside infrastructure, and between vehicles and the Internet, connected vehicles can obtain more extensive information about the surrounding environment, so as to realize vehicle-vehicle and vehicle-road collaboration at the levels of perception, decision-making and control. On the basis of connected car technology, multiple vehicles travel in formation at a shorter inter-vehicle distance than under free driving conditions to form a vehicle queue, which can not only reduce wind resistance and fuel consumption, but also reduce the overall length of the traffic flow and traffic flow. time and improve traffic efficiency.
然而,尽管车辆编队行驶有助于缩短车流长度、降低通行时间,但是在交叉路口这种交通瓶颈处却大受制约。在有信号控制的交叉路口,车辆队列可能会被红灯所截断,无法保证整个队列连续通行;在无信号控制的交叉路口,不同方向的车辆队列会相互干涉,只能依据优先权依次通行。在这个过程中,低优先权的车辆队列有很大的概率要经历减速、停车、再启动的过程,因而车辆队列在提高通行效率方面的优势大打折扣。为此,如何在交叉路口进行车辆编队控制、避免上述局限,成为车辆编队实用化所面临的一大瓶颈。However, although vehicle platooning helps to shorten the length of traffic flow and reduce the passing time, it is greatly restricted at traffic bottlenecks such as intersections. At the intersection with signal control, the vehicle queue may be cut off by the red light, and the continuous passage of the entire queue cannot be guaranteed; at the intersection without signal control, vehicle queues in different directions will interfere with each other, and they can only pass in order according to the priority. In this process, the low-priority vehicle queue has a high probability to go through the process of deceleration, parking, and restarting, so the advantage of the vehicle queue in improving traffic efficiency is greatly reduced. For this reason, how to carry out vehicle formation control at intersections and avoid the above-mentioned limitations has become a major bottleneck for the practical application of vehicle formations.
关于非信控交叉路口的车辆编队通行方法的相关专利尚不存在。与之类似的已有的技术主要是针对非信控交叉路口的车辆冲突消解或车速引导而提出的相应解决方法。北京航空航天大学提出的消解无信号交叉口两车交通冲突的方法和西安电子科技大学提出的消解无信号交叉口两车交通冲突的方法均设计了两车的冲突辨识、分级与消解方法,其关注车辆安全性,较难应用于关注车辆通行效率的编队中。苏州大学张家港工业技术研究院提出的非信控交叉路口的冲突消解和车速引导方法,旨在对驾驶员进行速度引导,速度轨迹计算较为复杂,也不适用于车辆队列的应用。重庆邮电大学提出的基于车路协同技术的车辆编队方法及其系统和重庆云途交通科技有限公司提出的基于车路协同技术的车辆组队行驶管理方法则未考虑交叉路口的情形。There is no relevant patent about the vehicle formation passing method at the non-sign control intersection. The existing technologies similar to it are mainly the corresponding solutions proposed for vehicle conflict resolution or vehicle speed guidance at non-signal-controlled intersections. The method for resolving traffic conflicts between two vehicles at unsignalized intersections proposed by Beijing University of Aeronautics and Astronautics and the method for resolving traffic conflicts between two vehicles at unsignalized intersections proposed by Xi'an University of Electronic Science and Technology both design the conflict identification, classification and resolution methods for two vehicles. Focusing on vehicle safety, it is difficult to apply to formations that focus on vehicle traffic efficiency. The conflict resolution and vehicle speed guidance method at non-signal-controlled intersections proposed by the Zhangjiagang Industrial Technology Research Institute of Soochow University aims to guide the driver's speed. The calculation of the speed trajectory is relatively complicated, and it is not suitable for the application of vehicle platoons. The vehicle platooning method and system based on vehicle-road coordination technology proposed by Chongqing University of Posts and Telecommunications and the vehicle platooning management method based on vehicle-road coordination technology proposed by Chongqing Yuntu Transportation Technology Co., Ltd. do not consider the intersection situation.
现有技术中还有一些非信控交叉路口的冲突消解和交叉路口管理的方法,难以应用于车辆的编队控制。如车路协同环境下的交叉口的协调控制研究和基于车路协同技术的交叉口协调方法研究、无信号十字交叉口协作车辆控制研究等,提出多车通过交叉口的安全车速计算方法仅考虑速度跟踪,但是无法应用于车辆编队。由此可见,目前尚无非信控交叉路口车辆编队通行的有效实用的方法。There are still some conflict resolution and intersection management methods at non-signal-controlled intersections in the prior art, which are difficult to apply to vehicle formation control. For example, research on coordinated control of intersections under the environment of vehicle-road coordination, research on intersection coordination methods based on vehicle-road coordination technology, and research on cooperative vehicle control at unsignalized intersections. Speed tracking, but cannot be applied to vehicle formations. This shows that there is no effective and practical method for the formation of vehicles passing through non-signal-controlled intersections at present.
发明内容Contents of the invention
针对上述问题,本发明的目的是提供一种基于无线通信的非信控交叉路口车辆编队通行方法,该方法基于无线通信,对驶近非信控交叉路口的网联车辆进行编队,使各个方向的网联车辆可以依次通过交叉路口,从而避免车辆的减速、停车、起步过程,减小通行时间,提高非信控交叉路口的通行效率。In view of the above problems, the object of the present invention is to provide a method for passing vehicles in formation at non-signal-controlled intersections based on wireless communication. The networked vehicles can pass through the intersection in turn, thereby avoiding the process of deceleration, parking, and starting of the vehicle, reducing the passing time, and improving the passing efficiency of non-signature-controlled intersections.
为实现上述目的,本发明采取以下技术方案:一种基于无线通信的非信控交叉路口车辆编队通行方法,其特征在于包括以下步骤:1)网联车辆驶近非信控交叉路口时,利用无线通信将自身的身份编号、位置、速度和加速度信息进行广播;2)服务平台利用无线通信获取驶入非信控交叉路口的所有网联车辆的身份编号、位置、速度和加速度信息,进行坐标转换,确定每个网联车辆的虚拟前车;3)服务平台利用无线通信将每个网联车辆的虚拟前车所对应真实车辆的身份编号进行广播,每个网联车辆利用无线通信获取自身的虚拟前车所对应真实车辆的身份编号;4)每个网联车辆通过无线通信获取虚拟前车所对应真实车辆的位置、速度和加速度信息,并进行坐标转换,变为等效前车,再自动控制车辆跟踪等效前车,直至驶离交叉路口。In order to achieve the above object, the present invention adopts the following technical solutions: a method for passing vehicles at a non-signal-controlled intersection based on wireless communication, which is characterized in that it includes the following steps: 1) when a networked vehicle approaches a non-signal-controlled intersection, use Wireless communication broadcasts its own identity number, position, speed and acceleration information; 2) The service platform uses wireless communication to obtain the identity number, position, speed and acceleration information of all networked vehicles driving into non-signature-controlled intersections, and coordinates Conversion, to determine the virtual front vehicle of each networked vehicle; 3) The service platform uses wireless communication to broadcast the identity number of the real vehicle corresponding to the virtual front vehicle of each networked vehicle, and each networked vehicle uses wireless communication to obtain its own 4) Each networked vehicle obtains the position, velocity and acceleration information of the real vehicle corresponding to the virtual front vehicle through wireless communication, and performs coordinate conversion to become an equivalent front vehicle, Then the vehicle is automatically controlled to track the equivalent preceding vehicle until it leaves the intersection.
所述步骤2)中,利用坐标转换,确定虚拟前车和等效前车的方法如下:2.1)建立有向的、通过交叉路口中心点的虚拟车道;2.2)利用非信控交叉路口的网联车辆的位置信息,计算各网联车辆到交叉路口中心点的距离;网联车辆的总数目为N;2.3)对于已通过交叉路口的网联车辆,将其位置以交叉路口中心点进行顺时针或逆时针旋转,投影至虚拟车道的右上方,形成虚拟车辆;2.4)对于未通过交叉路口的网联车辆,将其位置以交叉路口中心点进行顺时针或逆时针旋转,投影至虚拟车道的左下方,形成虚拟车辆;2.5)对所有网联车辆投影后,在虚拟车道上形成虚拟车辆组成的虚拟队列,设虚拟车辆总数目也为N,对虚拟队列中的各虚拟车辆按虚拟车道反方向进行从小到大编号1~N,则依据编号定义虚拟车辆j为虚拟车辆j+1对应的真实车辆的虚拟前车,其中1≤j≤N-1;2.6)真实车辆分别将各自的虚拟前车所对应真实车辆投影至自身所在的真实车道的前方,变为等效车辆,则该等效车辆即为该真实车辆的等效前车。Described step 2) in, utilize coordinate transformation, the method for determining virtual vehicle in front and equivalent vehicle in front is as follows: 2.1) set up the virtual lane that has direction, pass through intersection central point; Calculate the distance from each connected vehicle to the center point of the intersection; the total number of connected vehicles is N; 2.3) For the connected vehicles that have passed the intersection, their positions are sequentially calculated based on the center point of the intersection. Rotate clockwise or counterclockwise, and project to the upper right of the virtual lane to form a virtual vehicle; 2.4) For networked vehicles that have not passed the intersection, rotate their position clockwise or counterclockwise with the center point of the intersection, and project to the virtual lane 2.5) After all networked vehicles are projected, a virtual queue composed of virtual vehicles is formed on the virtual lane, and the total number of virtual vehicles is also N, and each virtual vehicle in the virtual queue is divided by virtual lane In the opposite direction, number 1~N from small to large, then define virtual vehicle j as the virtual front vehicle corresponding to the real vehicle corresponding to virtual vehicle j+1 according to the number, where 1≤j≤N-1; 2.6) The real vehicles respectively The real vehicle corresponding to the virtual front vehicle is projected to the front of the real lane where it is located, and becomes an equivalent vehicle, then the equivalent vehicle is the equivalent front vehicle of the real vehicle.
所述步骤2)中,利用坐标转换,确定网联车辆等效前车的计算方法如下:2.1)设某时刻非信控交叉路口的网联车辆总数目为N,为各网联车辆分别编号为1~N,并记第i辆网联车辆为Ri;设网联车辆Ri距非信控交叉路口中心点的绝对距离为di,定义网联车辆Ri距非信控交叉路口中心点的有向距离为Di,满足Di=μidi,1≤i≤N;2.2)对有向距离Di进行从大到小排序,得有序下标集合为S={s1,s2,...,sN},其中1≤j≤N-1;2.3)假设存在一假想的车辆Ej,其位于网联车辆的前方且车头向前,与网联车辆相距其速度、加速度与网联车辆相同,则定义假想的车辆Ej为网联车辆的等效前车。In the step 2), coordinate conversion is used to determine the calculation method of the equivalent vehicle ahead of the networked vehicle as follows: 2.1) Set the total number of networked vehicles at a non-signal-controlled intersection at a certain moment as N, and number each networked vehicle separately is 1 to N, and record the i-th networked vehicle as R i ; let the absolute distance between the networked vehicle R i and the center point of the non-signal-controlled intersection be d i , and define the distance between the networked vehicle R i and the non-signal-controlled intersection The directional distance of the central point is D i , satisfying D i = μ i d i , 1≤i≤N; 2.2) sorting the directional distance D i from large to small, and the ordered subscript set is S={ s 1 ,s 2 ,...,s N }, where 1≤j≤N-1; 2.3) Suppose there is a hypothetical vehicle E j , which is located in the and the front of the car is forward, and connected vehicles distance Its speed, acceleration and connected vehicles are the same, then define the imaginary vehicle E j as a networked vehicle The equivalent preceding vehicle.
所述步骤2.1)中,若网联车辆Ri已通过交叉路口中心点,则μi=1;若网联车辆Ri未通过交叉路口中心点,则μi=-1。In the step 2.1), if the networked vehicle R i has passed the center point of the intersection, then μ i =1; if the networked vehicle R i has not passed the center point of the intersection, then μ i =-1.
所述服务平台的运行过程如下:3.1)利用无线通信获取新进入非信控交叉路口的所有网联车辆的身份编号、位置、速度和加速度信息;3.2)判断是否不存在虚拟队列,当不存在虚拟队列时,对网联车辆信息进行坐标转换,构建虚拟队列;当存在虚拟队列时,按先后次序将新进入交叉路口的网联车辆加入虚拟队列的队尾,形成新的虚拟队列;3.3)依据形成的虚拟队列,确定各个网联车辆的虚拟前车,并将虚拟前车所对应真实车辆的身份编号广播给各个网联车辆,并返回至步骤3.1)。The operating process of the service platform is as follows: 3.1) Utilize wireless communication to obtain the identity numbers, positions, speeds and acceleration information of all connected vehicles newly entering the non-signature-controlled intersection; 3.2) judge whether there is no virtual queue, if there is no In the virtual queue, coordinate transformation is performed on the networked vehicle information to construct a virtual queue; when there is a virtual queue, the networked vehicles that newly enter the intersection are added to the tail of the virtual queue in order to form a new virtual queue; 3.3) According to the formed virtual queue, determine the virtual front vehicle of each connected vehicle, and broadcast the identity number of the real vehicle corresponding to the virtual front vehicle to each connected vehicle, and return to step 3.1).
所述服务平台设立于云端服务器,或设立于非信控交叉路口的路侧,或随机设立在处于该非信控交叉路口的某辆网联车辆上。The service platform is set up on a cloud server, or on the roadside of a non-trusted intersection, or randomly set up on a networked vehicle at the non-trusted intersection.
所述步骤4)中,每个网联车辆驶离交叉路口的过程为:4.1)每个网联车辆始终通过无线通信广播自身的身份编号、位置、速度和加速度信息;4.2)当判断网联车辆正在驶近非信控交叉路口时,进入步骤4.3),否则重复步骤4.2)持续判断;4.3)通过无线通信从服务平台获取虚拟前车所对应真实车辆的身份编号;4.4)通过无线通信获取虚拟前车所对应真实车辆的位置、速度和加速度信息,并进行坐标转换,变为等效前车;4.5)判断自车与等效前车的车间距离,当该车间距离小于预先设置的期望车间距离时,则自动控制跟踪等效前车;否则按照设定车速进行定速巡航,或始终保持跟踪等效前车形成不间断车辆队列;4.6)当判断网联车辆驶离非信控交叉路口时,返回步骤4.2),否则返回步骤4.5)。In the step 4), the process of each networked vehicle leaving the intersection is as follows: 4.1) each networked vehicle always broadcasts its own identity number, position, speed and acceleration information through wireless communication; 4.2) when judging that the networked vehicle When the vehicle is approaching a non-signature-controlled intersection, enter step 4.3), otherwise repeat step 4.2) to continue to judge; 4.3) Obtain the identity number of the real vehicle corresponding to the virtual front vehicle from the service platform through wireless communication; 4.4) Obtain through wireless communication The position, speed and acceleration information of the real vehicle corresponding to the virtual vehicle in front, and coordinate transformation, becomes the equivalent vehicle in front; 4.5) Judging the inter-vehicle distance between the self-vehicle and the equivalent vehicle in front, when the inter-vehicle distance is less than the preset expectation When the inter-vehicle distance, it will automatically control the tracking of the equivalent vehicle in front; otherwise, it will perform constant speed cruise according to the set speed, or keep tracking the equivalent vehicle in front to form an uninterrupted vehicle queue; intersection, return to step 4.2), otherwise return to step 4.5).
所述步骤4.5)中,自动控制跟踪等效前车时,利用PID、线性或非线性控制、模型预测控制、滑模控制或鲁棒控制方法控制网联车辆的油门踏板和制动踏板,实现对网联车辆的加速度或者速度的控制。In the step 4.5), when the automatic control is used to track the equivalent front vehicle, the gas pedal and the brake pedal of the connected vehicle are controlled by using PID, linear or nonlinear control, model predictive control, sliding mode control or robust control methods to realize Control of the acceleration or speed of connected vehicles.
本发明由于采取以上技术方案,其具有以下优点:1、本发明基于无线通信实现非信控交叉路口车辆的编队通行,可以实现相互冲突车流的同时通行(指各向无需经历减速、停车、起步的过程),有助于在保证安全的同时,降低车流的通行时间,提高交叉路口的通行效率。2、当每个网联车辆获取虚拟前车所对应真实车辆的身份编号后,本发明仅需通过无线通信获取该身份编号对应的网联车辆的信息,而无需获取其他网联车辆的信息,可以大大降低对通信的需求,例如降低信息传输量和通信频次。The present invention has the following advantages due to the adoption of the above technical scheme: 1. The present invention realizes the formation passing of vehicles at non-signal-controlled intersections based on wireless communication, and can realize the simultaneous passage of conflicting traffic flows (referring to each direction without experiencing deceleration, parking and starting) process), which helps to reduce the time of traffic flow and improve the efficiency of intersections while ensuring safety. 2. After each Internet-connected vehicle obtains the identity number of the real vehicle corresponding to the virtual vehicle in front, the present invention only needs to obtain the information of the Internet-connected vehicle corresponding to the identity number through wireless communication, without obtaining the information of other Internet-connected vehicles. Can greatly reduce the demand for communication, such as reducing the amount of information transmission and communication frequency.
附图说明Description of drawings
图1是本发明构建的虚拟队列、确定虚拟前车和等效前车的示意图;Fig. 1 is the virtual formation that the present invention builds, the schematic diagram that determines virtual front car and equivalent front car;
图2是本发明的服务平台运行流程示意图;Fig. 2 is a schematic diagram of the operation flow of the service platform of the present invention;
图3是本发明的网联车辆运行流程示意图。Fig. 3 is a schematic diagram of the operation flow of the networked vehicle of the present invention.
具体实施方式Detailed ways
下面结合附图和实施例对本发明进行详细的描述。The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
本发明提供一种基于无线通信的非信控交叉路口车辆编队通行方法,其包括以下步骤:The present invention provides a method for passing vehicles in formation at a non-signal-controlled intersection based on wireless communication, which includes the following steps:
1)网联车辆驶近非信控交叉路口时,利用无线通信将自身的身份编号、位置、速度和加速度信息进行广播;其中,每个网联车辆的身份编号是唯一的;1) When a networked vehicle approaches a non-signal-controlled intersection, it uses wireless communication to broadcast its own identity number, position, speed and acceleration information; among them, the identity number of each networked vehicle is unique;
2)服务平台利用无线通信获取驶入非信控交叉路口的所有网联车辆的身份编号、位置、速度和加速度信息,进行坐标转换,构建虚拟车辆队列,确定网联车辆的通行次序,进而确定每个网联车辆的虚拟前车;2) The service platform uses wireless communication to obtain the identity number, position, speed and acceleration information of all connected vehicles entering the non-signature-controlled intersection, performs coordinate conversion, constructs a virtual vehicle queue, determines the passing sequence of connected vehicles, and then determines Virtual front vehicle for each connected vehicle;
3)服务平台利用无线通信将每个网联车辆的虚拟前车所对应真实车辆的身份编号进行广播,每个网联车辆利用无线通信获取自身的虚拟前车所对应真实车辆的身份编号;3) The service platform uses wireless communication to broadcast the identity number of the real vehicle corresponding to the virtual vehicle in front of each networked vehicle, and each networked vehicle uses wireless communication to obtain the identity number of the real vehicle corresponding to its own virtual vehicle in front;
其中,服务平台可以设置在云端服务器,或者非信控交叉路口的路侧,或者该非信控交叉路口处的某辆网联车辆上。Among them, the service platform can be set up on the cloud server, or on the roadside of the non-trust-controlled intersection, or on a networked vehicle at the non-trust-controlled intersection.
4)每个网联车辆通过无线通信获取虚拟前车所对应真实车辆的位置、速度和加速度信息,并进行坐标转换,变为等效前车,再自动控制车辆跟踪等效前车,直至驶离交叉路口。4) Each networked vehicle obtains the position, speed and acceleration information of the real vehicle corresponding to the virtual vehicle in front through wireless communication, and performs coordinate transformation to become an equivalent vehicle in front, and then automatically controls the vehicle to track the equivalent vehicle in front until driving away from the intersection.
上述步骤2)中,利用坐标转换,构建虚拟队列,确定虚拟前车和等效前车的方法如下:In above-mentioned step 2), utilize coordinate transformation, construct virtual formation, the method for determining virtual vehicle in front and equivalent vehicle in front is as follows:
2.1)建立有向的、通过交叉路口中心点的虚拟车道,如图1中由左下方指向右上方的箭头所示;2.1) Establish a directional virtual lane passing through the center point of the intersection, as shown by the arrow pointing from the lower left to the upper right in Figure 1;
2.2)利用非信控交叉路口的网联车辆R1~RN的位置信息,计算各网联车辆到交叉路口中心点的距离;其中,N为网联车辆的总数目,在本实施例中以8辆网联车辆为例进行说明。2.2) Utilize the position information of the networked vehicles R1~RN at the non-signature-controlled intersection to calculate the distance from each networked vehicle to the center point of the intersection; where N is the total number of networked vehicles, and in this embodiment, 8 Take a connected vehicle as an example.
2.3)对于已通过交叉路口的网联车辆,将其位置以交叉路口中心点进行顺时针或逆时针旋转,投影至虚拟车道的右上方,形成虚拟车辆,如图1中的实线弧形箭头投影为虚拟车辆V1~V4;2.3) For the networked vehicle that has passed the intersection, rotate its position clockwise or counterclockwise from the center point of the intersection, and project it to the upper right of the virtual lane to form a virtual vehicle, as shown in the solid arc arrow in Figure 1 Projected as virtual vehicles V1~V4;
2.4)对于未通过交叉路口的网联车辆,将其位置以交叉路口中心点进行顺时针或逆时针旋转,投影至虚拟车道的左下方,形成虚拟车辆,如图1中的实线弧形箭头投影为虚拟车辆V5~V8;2.4) For the networked vehicles that have not passed the intersection, rotate their position clockwise or counterclockwise from the center point of the intersection, and project it to the lower left of the virtual lane to form a virtual vehicle, as shown in the solid arc arrow in Figure 1 Projected as virtual vehicles V5-V8;
2.5)对所有网联车辆投影后,在虚拟车道上形成虚拟车辆组成的虚拟队列,对虚拟队列中的各虚拟车辆按虚拟车道反方向进行从小到大编号V1,V2,…,V8,如图1所示,虚拟车辆V1,V2,V3,…,V8分别对应的真实车辆为R1,R7,R3,…,R8,则依据编号定义虚拟车辆V1,V2,…,V7分别为真实车辆R7,R3,…,R8的虚拟前车;2.5) After all networked vehicles are projected, a virtual queue composed of virtual vehicles is formed on the virtual lane, and each virtual vehicle in the virtual queue is numbered V1, V2, ..., V8 from small to large according to the reverse direction of the virtual lane, as shown in the figure As shown in 1, the virtual vehicles V1, V2, V3, ..., V8 respectively correspond to the real vehicles R1, R7, R3, ..., R8, and the virtual vehicles V1, V2, ..., V7 are respectively defined as the real vehicles R7, R3,…, R8's virtual front car;
2.6)真实车辆R7,R3,…,R8分别将各自的虚拟前车V1,V2,…,V7投影至自身所在的真实车道的前方,如图1中的虚线弧线箭头所示,变为等效车辆E1,E2,…,E7,则等效车辆E1,E2,…,E7分别为真实车辆R7,R3,…,R8的等效前车。如图1中虚拟车辆V2对应真实车辆R7,将真实车辆R7的虚拟前车V1投影至真实车辆R7的前方,成为等效车辆E1,则等效车辆E1即为真实车辆R7的等效前车。2.6) The real vehicles R7, R3,..., R8 respectively project their respective virtual front vehicles V1, V2,..., V7 to the front of the real lane where they are located, as shown by the dotted arc arrows in Figure 1, and become equal to The equivalent vehicles E1, E2, ..., E7 are the equivalent preceding vehicles of the real vehicles R7, R3, ..., R8 respectively. As shown in Figure 1, the virtual vehicle V2 corresponds to the real vehicle R7, and the virtual front vehicle V1 of the real vehicle R7 is projected to the front of the real vehicle R7 to become an equivalent vehicle E1, then the equivalent vehicle E1 is the equivalent front vehicle of the real vehicle R7 .
上述步骤2)中,利用坐标转换,构建虚拟队列,确定网联车辆等效前车的计算方法如下:In the above step 2), the virtual queue is constructed by using coordinate transformation, and the calculation method for determining the equivalent vehicle ahead of the connected vehicle is as follows:
2.1)忽略交叉路口和车辆的尺寸,设某时刻非信控交叉路口的网联车辆总数目为N,为各网联车辆分别编号为1~N,并记第i辆(1≤i≤N)网联车辆为Ri。设网联车辆Ri距非信控交叉路口中心点的绝对距离为di,定义网联车辆Ri距非信控交叉路口中心点的有向距离为Di,满足Di=μidi。2.1) Ignore the size of intersections and vehicles, set the total number of networked vehicles at non-signal-controlled intersections at a certain moment as N, number each networked vehicle from 1 to N, and record the i-th vehicle (1≤i≤N ) connected vehicle is R i . Let d i be the absolute distance between the networked vehicle R i and the center point of the non-signal-controlled intersection, and define the directed distance between the networked vehicle R i and the center point of the non-signal-controlled intersection as D i , satisfying D i = μ i d i .
其中,若网联车辆Ri已通过交叉路口中心点,则μi=1;若网联车辆Ri未通过交叉路口中心点,则μi=-1。Wherein, if the Internet-connected vehicle R i has passed the center point of the intersection, then μ i =1; if the network-connected vehicle R i has not passed the center point of the intersection, then μ i =-1.
2.2)对有向距离Di进行从大到小排序,得有序下标集合为S={s1,s2,...,sN}。其中1≤j≤N-1。2.2) Sorting the directional distance D i from large to small, the ordered subscript set is S={s 1 , s 2 ,...,s N }. where 1≤j≤N-1.
2.3)假设存在一假想的车辆Ej,其位于网联车辆的前方且车头向前,与网联车辆相距其速度、加速度与网联车辆相同(方向均向前或向后)。则定义该假想的车辆Ej为网联车辆的等效前车。2.3) Suppose there is a hypothetical vehicle E j , which is located in the and the front of the car is forward, and connected vehicles distance Its speed, acceleration and connected vehicles same (direction both forward or backward). Then define the imaginary vehicle E j as a networked vehicle The equivalent preceding vehicle.
上述步骤2)、步骤3)中,如图2所示,服务平台的运行过程如下:In the above step 2), step 3), as shown in Figure 2, the operation process of the service platform is as follows:
3.1)利用无线通信获取新进入非信控交叉路口的所有网联车辆的身份编号、位置、速度和加速度信息;3.1) Use wireless communication to obtain the identity number, position, speed and acceleration information of all networked vehicles newly entering the non-signature-controlled intersection;
3.2)判断是否存在虚拟队列,当不存在虚拟队列时,对网联车辆信息进行坐标转换,构建虚拟队列;当存在虚拟队列时,按先后次序将新进入交叉路口的网联车辆加入虚拟队列的队尾,形成新的虚拟队列;3.2) Determine whether there is a virtual queue. When there is no virtual queue, perform coordinate conversion on the networked vehicle information to construct a virtual queue; when there is a virtual queue, add the new networked vehicles entering the intersection to the virtual queue in order At the end of the queue, a new virtual queue is formed;
3.3)依据形成的虚拟队列,确定各个网联车辆的虚拟前车,并将虚拟前车所对应真实车辆的身份编号广播给各个网联车辆,并返回至步骤3.1)。3.3) According to the formed virtual queue, determine the virtual front vehicle of each connected vehicle, and broadcast the identity number of the real vehicle corresponding to the virtual front vehicle to each connected vehicle, and return to step 3.1).
上述步骤4)中,每个网联车辆驶离交叉路口的过程为:In the above step 4), the process of each connected vehicle leaving the intersection is:
4.1)每个网联车辆始终通过无线通信广播自身的身份编号、位置、速度和加速度信息;4.1) Each connected vehicle always broadcasts its own identity number, location, speed and acceleration information through wireless communication;
4.2)当判断网联车辆正在驶近非信控交叉路口时,进入步骤4.3),否则重复步骤4.2)持续判断;4.2) When it is judged that the connected vehicle is approaching a non-signature-controlled intersection, proceed to step 4.3), otherwise repeat step 4.2) to continue the judgment;
4.3)通过无线通信从服务平台获取虚拟前车所对应真实车辆的身份编号;4.3) Obtain the identity number of the real vehicle corresponding to the virtual front vehicle from the service platform through wireless communication;
4.4)通过无线通信获取虚拟前车所对应真实车辆的位置、速度和加速度信息,并进行坐标转换,变为等效前车;4.4) Obtain the position, speed and acceleration information of the real vehicle corresponding to the virtual front vehicle through wireless communication, and perform coordinate transformation to become an equivalent front vehicle;
4.5)判断自车与等效前车的车间距离,当该车间距离小于预先设置的期望车间距离时,则自动控制跟踪等效前车;否则按照设定车速进行定速巡航,或始终保持跟踪等效前车形成不间断车辆队列;4.5) Judging the inter-vehicle distance between the self-vehicle and the equivalent vehicle in front, when the inter-vehicle distance is less than the preset expected inter-vehicle distance, it will automatically control the tracking of the equivalent vehicle in front; otherwise, perform constant speed cruise according to the set speed, or keep tracking all the time Equivalent to the vehicle in front to form an uninterrupted vehicle queue;
4.6)当判断网联车辆驶离非信控交叉路口时,返回步骤4.2),否则返回步骤4.5)。4.6) Return to step 4.2) when it is judged that the connected vehicle is leaving the non-signature-controlled intersection, otherwise return to step 4.5).
上述步骤4.5)中,自动控制跟踪等效前车时,可利用PID、线性或非线性控制、模型预测控制、滑模控制或鲁棒控制等多种控制方法控制网联车辆的油门踏板和制动踏板,实现对网联车辆的加速度或者速度的控制。In the above step 4.5), when the automatic control tracks the equivalent preceding vehicle, various control methods such as PID, linear or nonlinear control, model predictive control, sliding mode control or robust control can be used to control the accelerator pedal and brake of the connected vehicle. Move the pedals to control the acceleration or speed of the connected vehicle.
上述各实施例仅用于说明本发明,各步骤的次序和内容都是可以有所变化的,如可以在考虑路口和车辆尺寸的情况下重新调整各步骤的次序和内容。在本发明技术方案的基础上,凡根据本发明原理对个别步骤进行的改进和等同变换,均不应排除在本发明的保护范围之外。The above-mentioned embodiments are only used to illustrate the present invention, and the order and content of each step can be changed. For example, the order and content of each step can be readjusted in consideration of intersections and vehicle sizes. On the basis of the technical solution of the present invention, any improvement and equivalent transformation of individual steps according to the principle of the present invention shall not be excluded from the protection scope of the present invention.
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611163593.9A CN106781435B (en) | 2016-12-15 | 2016-12-15 | Non-signal control intersection vehicle formation passing method based on wireless communication |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611163593.9A CN106781435B (en) | 2016-12-15 | 2016-12-15 | Non-signal control intersection vehicle formation passing method based on wireless communication |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106781435A CN106781435A (en) | 2017-05-31 |
CN106781435B true CN106781435B (en) | 2019-12-10 |
Family
ID=58892684
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611163593.9A Active CN106781435B (en) | 2016-12-15 | 2016-12-15 | Non-signal control intersection vehicle formation passing method based on wireless communication |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106781435B (en) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109523807B (en) * | 2018-11-28 | 2020-06-05 | 湖南大学 | A distributed control method for vehicles in traffic road network |
CN110109159B (en) * | 2019-05-22 | 2021-06-04 | 广州小鹏汽车科技有限公司 | Driving management method, device, electronic device and storage medium |
CN110942645B (en) * | 2019-11-06 | 2020-09-11 | 清华大学 | Vehicle control method for hybrid traffic intersection |
CN110853335B (en) * | 2019-11-14 | 2020-11-27 | 东南大学 | An autonomous decision-making method for collision avoidance and risk avoidance for cooperative fleets in highway bottleneck sections |
CN111199640B (en) * | 2019-12-31 | 2022-02-01 | 新石器慧通(北京)科技有限公司 | Cooperative control method and device for vehicle formation |
CN111354199B (en) * | 2020-02-19 | 2021-09-03 | 广州小鹏汽车科技有限公司 | Control method, control device, vehicle, and storage medium |
CN111724602B (en) * | 2020-07-01 | 2021-06-22 | 清华大学 | A multi-vehicle cooperative control method in the environment of urban non-signal-controlled multi-intersections |
CN113450570B (en) * | 2021-07-06 | 2022-04-12 | 湖南大学 | Autonomous intersection management system and method based on signal lamp-free intersection |
CN114648877B (en) * | 2022-05-13 | 2022-08-09 | 北京理工大学前沿技术研究院 | Method, system, equipment and storage medium for vehicle passing at signalless intersection |
CN116524744B (en) * | 2023-04-23 | 2025-07-18 | 武汉理工大学 | Intersection passing method and system of intelligent network-connected vehicles |
CN116564118B (en) * | 2023-07-11 | 2023-10-03 | 蘑菇车联信息科技有限公司 | Intersection passing control method, device and system of vehicles and electronic equipment |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8352111B2 (en) * | 2009-04-06 | 2013-01-08 | GM Global Technology Operations LLC | Platoon vehicle management |
CN102750837A (en) * | 2012-06-26 | 2012-10-24 | 北京航空航天大学 | No-signal intersection vehicle and vehicle cooperative collision prevention system |
CN103177596B (en) * | 2013-02-25 | 2016-01-06 | 中国科学院自动化研究所 | A kind of intersection independent control system |
CN104766495B (en) * | 2015-01-30 | 2018-02-27 | 华南理工大学 | A kind of no signal primary and secondary crossing induction type gives way control system and method |
CN105139677B (en) * | 2015-07-28 | 2017-08-25 | 苏州大学 | The No-shell culture vehicle pass-through guiding system and its bootstrap technique cooperateed with based on bus or train route |
-
2016
- 2016-12-15 CN CN201611163593.9A patent/CN106781435B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN106781435A (en) | 2017-05-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106781435B (en) | Non-signal control intersection vehicle formation passing method based on wireless communication | |
Xia et al. | Dynamic eco-driving for signalized arterial corridors and its indirect network-wide energy/emissions benefits | |
Guo et al. | Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic approach | |
CN111768637B (en) | Signal intersection traffic signal lamp and vehicle track control method | |
CN106601002B (en) | Entrance ramp vehicle passing guiding system and method under Internet of vehicles environment | |
CN107248297B (en) | Intersection rasterized signal phase duration calculation method under cooperative vehicle and road environment | |
CN106997690B (en) | A non-forced lane-changing control method for expressway vehicles in the Internet of Vehicles environment | |
Mandava et al. | Arterial velocity planning based on traffic signal information under light traffic conditions | |
CN108765982A (en) | Signalized crossing speed guiding system and bootstrap technique under bus or train route cooperative surroundings | |
CN106846832B (en) | Optimal speed guidance algorithm and system at urban signalized intersection based on vehicle-road coordination | |
CN108831143A (en) | Signalized intersections fleet speed guiding method based on bus or train route coordination technique | |
Ye et al. | Development and evaluation of a vehicle platoon guidance strategy at signalized intersections considering fuel savings | |
CN114495527A (en) | A method and system for vehicle-road collaborative optimization at a networked intersection in a mixed traffic environment | |
CN107274684A (en) | A kind of single-point integrative design intersection policy selection method under bus or train route cooperative surroundings | |
CN106991846A (en) | A kind of vehicle on highway under car networking environment forces lane-change control method | |
CN112767715B (en) | Intersection traffic signal lamp and intelligent networked automobile cooperative control method | |
CN114973666A (en) | Vehicle speed induction method, device and medium for networked vehicles based on vehicle-road coordination | |
Hassan et al. | A fully-distributed heuristic algorithm for control of autonomous vehicle movements at isolated intersections | |
CN115565390B (en) | Intelligent network-connected automobile multi-lane queue traffic control method, system and computer readable storage medium | |
CN111932910A (en) | Real-time dynamic variable lane safety control method under intelligent vehicle-road cooperative environment | |
CN117523847B (en) | Multi-vehicle cooperative control method and system for signal control intersection under mixed traffic environment | |
CN113011634A (en) | Intelligent network connection ramp merging method based on distributed optimal control | |
CN214475561U (en) | Automatic driving control system based on intelligent signal lamp | |
CN115331461A (en) | A hybrid traffic control method, device and vehicle at an unsignaled intersection | |
Marinelli et al. | Assessing the Impact of Eco-ADAS Systems on Vehicle Fuel Consumption and Emissions at Signalised Intersections |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |