Chapter
Aug 12, 2020
Impacts of Autonomous Vehicles on the Characteristics of Mixed Traffic Flow Based on Cellular Automata
Authors: Zaichun Xie [email protected], Fan Ding [email protected], Jiankun Peng [email protected], Huachun Tan [email protected], and Bin Ran [email protected]Author Affiliations
Publication: CICTP 2020
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.
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Published In
CICTP 2020
Pages: 457 - 469
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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Affiliations
1Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, School of Transportation, No. 2 Southeast University Rd., Nanjing 211189, PR China. Email: [email protected]
2Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, School of Transportation, No. 2 Southeast University Rd., Nanjing 211189, PR China. Email: [email protected]
3Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, School of Transportation, No. 2 Southeast University Rd., Nanjing 211189, PR China. Email: [email protected]
4Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, School of Transportation, No. 2 Southeast University Rd., Nanjing 211189, PR China. Email: [email protected]
5Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, School of Transportation, No. 2 Southeast University Rd., Nanjing 211189, PR China. Email: [email protected]
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