@article{ref1,
title="A collaborative merging method for connected and automated vehicle platoons in a freeway merging area with considerations for safety and efficiency",
journal="Sensors (Basel)",
year="2023",
author="Gao, Huan and Cen, Yanqing and Liu, Bo and Song, Xianghui and Liu, Hongben and Liu, Jia",
volume="23",
number="9",
pages="-",
abstract="To solve the problems of congestion and accident risk when multiple vehicles merge into the merging area of a freeway, a platoon split collaborative merging (PSCM) method was proposed for an on-ramp connected and automated vehicle (CAV) platoon under a mixed traffic environment composed of human-driving vehicles (HDV) and CAVs. The PSCM method mainly includes two parts: merging vehicle motion control and merging effect evaluation. Firstly, the collision avoidance constraints of merging vehicles were analyzed, and on this basis, a following-merging motion rule was proposed. Then, considering the feasibility of and constraints on the stability of traffic flow during merging, a performance measurement function with safety and merging efficiency as optimization objectives was established to screen for the optimal splitting strategy. Simulation experiments under traffic demand of 1500 pcu/h/lane and CAV ratios of 30%, 50%, and 70% were conducted respectively. It was shown that under the 50% CAV ratio, the average travel time of the on-ramp CAV platoon was reduced by 50.7% under the optimal platoon split strategy compared with the no-split control strategy. In addition, the average travel time of main road vehicles was reduced by 27.9%. Thus, the proposed PSCM method is suitable for the merging control of on-ramp CAV platoons under the condition of heavy main road traffic demand.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s23094401",
url="http://dx.doi.org/10.3390/s23094401"
}