Harnessing connected and automated vehicle technologies to control lane changes at freeway merge bottlenecks in mixed traffic
Harnessing connected and automated vehicle technologies to control lane changes at freeway merge bottlenecks in mixed traffic
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DOI：
10.1016/j.trc.2020.102950
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
Danjue Chen;Soyoung Ahn
中科院分区：
文献类型：
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作者：
Danjue Chen;Soyoung Ahn
本文提出了三种控制策略的车道变换（LC）在合并瓶颈，以提高瓶颈吞吐量，通过减少空隙和速度干扰的混合交通使用连接和自动驾驶汽车（CAV）技术。策略1是“间隙闭合”控制，其中LC车辆及其跟随者被控制以闭合由LC引起的空隙（额外的时间间隙）并防止向后传播的速度扰动。策略2是“批量LC”，其中一组LC车辆被控制成沿着运动波沿着排列，以最小化总空隙。策略3是“间隙重新分配”控制，其中车辆的额外间隙被重新分配以周期性地产生足够大的间隙用于无干扰插入。在一个总体控制框架中，这三种战略以不同的组合方式进行整合，利用其互补性。数值分析表明，某些组合，如策略2和3，可以非常有效地提高瓶颈吞吐量。分析揭示了利用CAV来制定流量管理策略和/或策略的见解，从而提高系统性能。
This paper proposes three control strategies for lane-changing (LC) at a merge bottleneck to improve bottleneck throughput by mitigating voids and speed disturbances in mixed traffic using connected and automated vehicle (CAV) technologies. Strategy 1 is ‘gap closure’ control, where an LC vehicle and its follower are controlled to close the void (extra time gap ahead) induced by the LC and prevent a backward-propagating speed disturbance. Strategy 2 is ‘batch LC’, where a group of LC vehicles are controlled to line up along a kinematic wave to minimize the total voids. Strategy 3 is ‘gap redistribution’ control, where extra gaps of vehicles are redistributed to periodically create large enough gaps for disturbance-free insertions. In a general control framework, the three strategies are integrated in different combinations exploiting their complementary nature. A numerical analysis shows that certain combinations, such as Strategy 2 and 3, can be very effective for improving bottleneck throughput. The analysis reveals insights on leveraging CAVs to develop traffic management strategies and/or policies and therefore improve system performance.