Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: A hybrid modelling approach |
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Authors: | Yao-Ming Yuan Rui Jiang Mao-Bin Hu Qing-Song Wu Ruili Wang |
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Affiliation: | 1. School of Engineering Science, University of Science and Technology of China, Hefei, Anhui, 230026, PR China;2. Institute of Information Sciences and Technology, Massey University, New Zealand;1. Department of Civil Engineering, Nagoya University, Nagoya, 4640803, Japan;2. Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya, 4640803, Japan;1. School of Control Science and Engineering, Shandong University, Jinan, 250061, China;2. Department of Civil and Environment Engineering, University of California Davis, Davis, CA 95616, USA;1. School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, PR China;2. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates;1. Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843, United States;2. Transportation Center, Northwestern University, 600 Foster St., Chambers Hall, Evanston, IL 60208, United States |
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Abstract: | In this paper, we have investigated traffic flow characteristics in a traffic system consisting of a mixture of adaptive cruise control (ACC) vehicles and manual-controlled (manual) vehicles, by using a hybrid modelling approach. In the hybrid approach, (i) the manual vehicles are described by a cellular automaton (CA) model, which can reproduce different traffic states (i.e., free flow, synchronised flow, and jam) as well as probabilistic traffic breakdown phenomena; (ii) the ACC vehicles are simulated by using a car-following model, which removes artificial velocity fluctuations due to intrinsic randomisation in the CA model. We have studied the traffic breakdown probability from free flow to congested flow, the phase transition probability from synchronised flow to jam in the mixed traffic system. The results are compared with that, where both ACC vehicles and manual vehicles are simulated by CA models. The qualitative and quantitative differences are indicated. |
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