@article{ref1,
title="A dynamic lane-changing driving strategy for CAV in diverging areas based on MPC system",
journal="Sensors (Basel)",
year="2023",
author="Liu, Hongben and Song, Xianghui and Liu, Bo and Liu, Jia and Gao, Huan and Liang, Yunyi",
volume="23",
number="2",
pages="e559-e559",
abstract="Freeway-diverging areas are prone to low traffic efficiency, congestion, and frequent accidents. Because of the fluctuation of the surrounding traffic flow distribution, the individual decision-making of vehicles in diverging areas is typically unable to plan a departure trajectory that balances safety and efficiency well. Consequently, it is critical that vehicles in freeway-diverging regions develop a lane-changing driving strategy that strives to improve both the safety and efficiency of divergence areas. For CAV leaving the diverging area, this study suggested a full-time horizon optimum solution. Since it is a dynamic strategy, an MPC system based on rolling time horizon optimization was constructed as the primary algorithm of the strategy. A simulation experiment was created to verify the viability of the proposed methodology based on a mixed-flow environment. The results show that, in comparison with the feasible strategies exiting to off-ramp, the proposed strategy can take over 60% reduction in lost time traveling through a diverging area under the premise of safety and comfort without playing a negative impact on the surrounding traffic flow. Thus, the MPC system designed for the subject vehicle is capable of performing an optimal driving strategy in diverging areas within the full-time and space horizon.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s23020559",
url="http://dx.doi.org/10.3390/s23020559"
}