@article{ref1,
title="Make space to change lane: a cooperative adaptive cruise control lane change controller",
journal="Transportation research part C: emerging technologies",
year="2022",
author="Wang, Haoran and Lai, Jintao and Zhang, Xianhong and Zhou, Yang and Li, Shen and Hu, Jia",
volume="143",
number="",
pages="e103847-e103847",
abstract="This research proposes a Cooperative Adaptive Cruise Control Lane Change (CACCLC) controller. It is designed for maneuvering a CACC platoon to change lane in dense traffic. The proposed controller has the following features: i) with enhanced change-lane-in-dense-traffic capability; ii) with an improved success rate of lane-change; iii) with string stability. A Backward-Looking (BL) CACC information topology is adopted for better serving the objective of making space to change lane. The proposed controller is evaluated on a simulation platform with the context of traffic and a joint simulation platform consisting of PreScan and Matlab/Simulink. The proposed controller is evaluated against the conventional simultaneous CACCLC controller. Sensitivity analysis has been conducted in terms of congestion level and road type. <br><br>RESULTS demonstrate that, compared to the conventional simultaneous CACCLC method, the proposed controller does enhance CACCLC capability no matter the lane-change competence and efficiency. The magnitude of enhancement on competence is 29.13 % on arterials and 43.14 % on freeways on average. The magnitude of enhancement on efficiency is 88.65 % on arterials and 92.30 % on freeways on average. The computation time of the proposed CACCLC controller is approximately 15 ms when running on a laptop equipped with an Intel i7-8750H CPU. This indicates that the proposed controller has the potential for real-time implementation.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2022.103847",
url="http://dx.doi.org/10.1016/j.trc.2022.103847"
}