Yang Wenzhang, Dong Changyin, Chen Xu, Chen Yujia, Wang Hao
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China.
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China.
Accid Anal Prev. 2023 Dec;193:107324. doi: 10.1016/j.aap.2023.107324. Epub 2023 Sep 28.
The on-ramp area is a high-risk conflict zone where traffic accidents frequently occur. Connected and automated vehicles (CAVs) have the potential to enhance the safety of the merging process through appropriate cooperative control methods. This paper proposes a cooperative control method for safer on-ramp merging processes in heterogeneous traffic flow. Firstly, the gap selection process of ramp vehicles is described, thus all feasible virtual platoon results can be summarized. Next, the vehicle bond (VB) is used to describe the connection mode between vehicles within the virtual platoon. A two-layered gap selection function is proposed to ensure a safer merging process. The first layer aims to minimize the number of empty VBs, while the second layer considers fairness with respect to delay. To evaluate the control effectiveness, time exposed time-to-collision (TET), cumulative risk (CR), and conflict-potential mergence ratio (CPMR) are selected as the safety evaluation indicators. The simulation results show that the gap selection control moves the merging positions of ramp vehicles forward, resulting less risk of merging. It significantly enhances the safety of on-ramp merging without compromising traffic efficiency. At a flow rate of 650 veh/h for both the mainline and ramp, and a CAV penetration rate of 0.1-0.9, the gap selection control group achieves a decrease rate of about 0.3-0.6 for average TET and CR compared to the non-control group. In the pure CAV environment, the decrease rate can reach about 0.9. Sensitivity analysis indicates that the gap selection control is effective across varying flow rates and steady speeds. The optimal control effect is achieved when the length of the communication area ranges from 100 to 200 m.
匝道连接区是交通事故频发的高风险冲突区域。联网自动驾驶车辆(CAV)有潜力通过适当的协同控制方法提高汇入过程的安全性。本文提出了一种用于异构交通流中更安全的匝道汇入过程的协同控制方法。首先,描述了匝道车辆的间距选择过程,从而可以总结出所有可行的虚拟车队结果。接下来,使用车辆关联(VB)来描述虚拟车队内车辆之间的连接方式。提出了一种双层间距选择函数以确保更安全的汇入过程。第一层旨在最小化空VB的数量,而第二层考虑延迟方面的公平性。为了评估控制效果,选择时间暴露碰撞时间(TET)、累积风险(CR)和冲突潜在汇入率(CPMR)作为安全评估指标。仿真结果表明,间距选择控制将匝道车辆的汇入位置提前,降低了汇入风险。它在不影响交通效率的情况下显著提高了匝道汇入的安全性。在主线和匝道流量均为650 veh/h且CAV渗透率为0.1 - 0.9的情况下,与非控制组相比,间距选择控制组的平均TET和CR降低率约为0.3 - 0.6。在纯CAV环境下,降低率可达约0.9。敏感性分析表明,间距选择控制在不同流量和稳定速度下均有效。当通信区域长度在100至200 m范围内时,可实现最佳控制效果。