@article{ref1,
title="Harnessing connected and automated vehicle technologies to control lane changes at freeway merge bottlenecks in mixed traffic",
journal="Transportation research part C: emerging technologies",
year="2021",
author="Chen, Danjue and Srivastava, Anupam and Ahn, Soyoung",
volume="123",
number="",
pages="e102950-e102950",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2020.102950",
url="http://dx.doi.org/10.1016/j.trc.2020.102950"
}