Developing dynamic speed limit strategies for mixed traffic flow to reduce collision risks at freeway bottlenecks
Developing dynamic speed limit strategies for mixed traffic flow to reduce collision risks at freeway bottlenecks
复制标题
制定混合交通流的动态限速策略，以减少高速公路瓶颈处的碰撞风险
DOI：
10.1016/j.aap.2022.106781
复制
发表时间：
2022
影响因子：
5.9
通讯作者：
Jianjun Dai
中科院分区：
文献类型：
--
作者：
Ye Li;Bing Pan;Lu Xing;Min Yang;Jianjun Dai
·提出了三种动态限速策略来降低高速公路碰撞风险。研究了混合交通流中CAV分布模式对控制策略的影响。·进行了广泛的模拟实验来检查所提出的控制策略的效果。互联和自动化车辆（CAV）由于其独特的连接性和自动化特性，具有改善交通流量的巨大潜力。本研究的目的是开发CAV控制策略的基础上跟驰速度平衡，这被定义为动态速度限制（DSL）策略，并通过微观仿真研究其性能，以减少高速公路碰撞风险。DSL策略的核心思想是在到达瓶颈前控制CAV主动减速，并形成移动障碍引导后面的人类驾驶车辆被动减速。基于车辆动力学原理，提出了CAV的三种DSL策略，并在单车道场景下比较了CAV不同位置分布模式对三种策略的影响。然后，通过仿真实验选择性能最好的DSL策略，并采用传统的可变限速控制来比较我们所提出的方法的性能。最后，在双车道、三车道和四车道的场景下对基于Min控制的DSL策略进行了测试，验证了其有效性。仿真结果表明：（1）当CAV达到一定比例时，3种基于CAV的DSL策略均能显著降低碰撞风险;（2）CAV的均匀分布能最大化移动障碍物的影响;（3）基于Min控制的DSL策略受换道行为的影响较小，但在多车道场景下仍能很好地工作。
• Three dynamic speed limit strategies are proposed to reduce freeway collision risks. • Impacts of CAV distribution patterns in mixed traffic flow on control strategies are investigated. • Extensive simulation experiments are conducted to examine effects of proposed control strategies. Connected and automated vehicles (CAVs) have the great potential to improve traffic flow because of their particular characteristics of connectivity and automation. This study aims to develop CAV control strategies based on car-following speed balance, which are defined as dynamic speed limit (DSL) strategies, and examine their performances on reducing freeway collision risks via microscopic simulations. The core idea of DSL strategy is to command the CAVs to slow down actively before reaching the bottlenecks, and form moving barriers to guide the following human driven vehicles to passively decelerate. Three DSL strategies are first developed for CAVs based on vehicle dynamics principles, and the influences of various position distribution patterns of CAVs on three strategies are compared in the one-lane scenario. Then, the DSL strategy with the best performance is selected based on simulation experiments, and a conventional variable speed limit control is used to compare the performance of our proposed methods. Finally, the DSL strategy based on Min control is tested in the two-lane, three-lane and four-lane scenarios to verify the effectiveness. Simulation results indicate that: (1) three DSL strategies based on CAVs can significantly reduce collision risks when CAVs reach a certain proportion; (2) the uniform distribution of CAVs can maximize the effect of the moving barriers; (3) DSL strategy based on Min control is negatively affected by lane-changing behaviors, but still works well in the multi-lane scenario.