@inproceedings{ac13b2b46bbc4fc6b47edb6236e7ae19,
title = "Impacts of Autonomous Vehicles on the Characteristics of Mixed Traffic Flow Based on Cellular Automata",
abstract = "This paper proposes a mixed traffic flow model based on the cellular automata to study autonomous vehicle's impacts on the characteristics of traffic flow on a three-lane segment. The analysis to the simulation results showed that when the traffic density reaches a certain value, the penetration rate of autonomous vehicles has significant impact on the speed of the mixed traffic flow. However, the spatial speed variance, braking rate, and lane changing rate all develop in the same way with the increase of the penetration rate, which rise firstly and then falls. Besides, the spatial speed variance of the mixed traffic flow is generally larger than that of the pure regular vehicle traffic flow, which indicates that autonomous vehicles amplify the speed dispersion.",
keywords = "Autonomous vehicles, Cellular automata, Microscopic traffic simulation, Mixed traffic, Penetration rate",
author = "Zaichun Xie and Fan Ding and Jiankun Peng and Huachun Tan and Bin Ran",
note = "Publisher Copyright: {\textcopyright} ASCE.; 20th COTA International Conference of Transportation Professionals: Advanced Transportation Technologies and Development-Enhancing Connections, CICTP 2020 ; Conference date: 14-08-2020 Through 16-08-2020",
year = "2020",
doi = "10.1061/9780784482933.040",
language = "English",
series = "CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections - Proceedings of the 20th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "457--469",
editor = "Haizhong Wang and Heng Wei and Lei Zhang and Yisheng An",
booktitle = "CICTP 2020",
address = "United States",
}