Chongqing Jiaotong University, Nanan Distr., Chongqing, China.
PLoS One. 2021 Mar 30;16(3):e0249170. doi: 10.1371/journal.pone.0249170. eCollection 2021.
An effective traffic control strategy will improve travel reliability in urban transportation networks. Lack of coordination between vehicles, however, exacerbates congestion due mainly to frequent stops at unsignalized intersections. It is beneficial to develop a conflict-free cooperation method that collects basic safety message from multiple approaching Connected and Autonomous Vehicles (for short, CAVs) and guarantees efficient unsignalized intersection operations with safe and incident free vehicle maneuvers. This paper proposes an interspersed traffic organization method under controlled constraints. Firstly, relied on shared location technology and considered the operating characteristics of CAVs at unsignalized intersections to detect and analyze traffic conflicts to establish a right-of-way judgment model for CAVs. In order to further ensure the safety and operating efficiency of the vehicle, based on the judgment results of right-of-way judgment model, a vehicle speed guidance model is established for different traffic conditions. Taking the real city standard intersection as the experimental analysis object, through data collection and simulation experiment, the signal control method and the organization method proposed in this paper are compared and analyzed. The results showed that the traffic organization method proposed in this paper improves the operational efficiency of 46%, the average travel time is reduced by 6.54s, which is not only better than the signal control method, but also supports the development of car networking technology.
有效的交通控制策略将提高城市交通网络的出行可靠性。然而，车辆之间缺乏协调会加剧拥堵，主要是因为在无信号交叉口频繁停车。开发一种无冲突的协作方法是有益的，该方法可以从多个接近的互联和自动驾驶车辆（简称 CAV）收集基本安全信息，并保证高效的无信号交叉口操作和安全无事故的车辆行驶。本文提出了一种在控制约束下的交错交通组织方法。首先，基于共享位置技术并考虑 CAV 在无信号交叉口的运行特点，检测和分析交通冲突，建立 CAV 的先行权判断模型。为了进一步确保车辆的安全性和运行效率，基于先行权判断模型的判断结果，为不同交通条件建立车辆速度引导模型。以实际城市标准交叉口为实验分析对象，通过数据采集和仿真实验，对本文提出的信号控制方法和组织方法进行了对比分析。结果表明，本文提出的交通组织方法将运行效率提高了 46%，平均旅行时间减少了 6.54s，不仅优于信号控制方法，而且还支持车联网技术的发展。
