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Evaluation of Traffic and Environmental Benefits for the Mixed Traffic
Flow of Autonomous Vehicles
HU Mingwei1,2,3, SHI Xiaolong1, ZHAI Suyun4, LIU Peng1
2021, 40(08):
7-14.
DOI: 10.3969-j.issn.1674-0696.2021.08.02
In order to explore traffic and environmental benefits of the mixed traffic flow of autonomous vehicles, a comprehensive simulation system of driving behavior based on autonomous vehicle was established by use of microscopic traffic simulation tool VISSIM and MOVES emission model. The simulation model of the operation process of autonomous vehicles with different market penetration rate was studied. Considering different traffic flow levels (peak period, flat peak period and low peak period), total travel time, average speed, average parking times and average delay were selected as traffic benefit evaluation indexes, and PM2.5, NOx, CO emission and energy consumption were selected as environmental benefit evaluation indexes. The research results show that the traffic and environmental benefits of the mixed traffic flow increase with the market penetration rate rising of the autonomous vehicles. Moreover, the traffic and environmental benefits during peak period is better than those during flat peak period; the traffic and environmental benefits during flat peak period is better than those during low peak period. Taking traffic benefits as an example, in peak period, when the proportion of autonomous vehicles reaches 100%, the total travel time can be reduced by 45.59%, the number of stops can be reduced by 98.77%, the average delay can be reduced by 96.46%, and the average travel speed can be increased by 122.73%. During the flat peak period, the average delay can be reduced by 84.43% and the number of stops can be reduced by 86.42%; during the low peak period, the total travel time is only reduced by 1.62% and the the average travel speed is increased by 1.03%.
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