For a considerable period, the expressway will always be a mixture driving of conventional human-driven cars and autonomous cars due to the advancements in intelligent networking and autonomous driving technology. Based on the Gipps safety distance model, this study considers the time delay of L2 and L3 autonomous cars, and distinguishes between human-driven cars and autonomous cars. The STCA lane-changing model is enhanced and a hybrid traffic flow cellular automata model is developed based on their respective features. Then, further exploration and analysis are conducted to examine fundamental diagrams, space-time diagrams, congestion ratio (CR), and safety evaluation. The research indicates that self-driving vehicles can increase road capacity, alleviate congestion, and enhance road safety. Moreover, L3 autonomous cars have better effect than L2 autonomous cars on improving road traffic. This paper will provide a reference for studying the driving behavior of autonomous cars and the traffic flow characteristics associated with various intelligence levels of autonomous cars.
Characteristics of Heterogeneous Traffic Flow Involving Different Intelligent Level Autonomous Vehicles
Communic.Comp.Inf.Science
International Symposium on Intelligent Technology for Future Transportation ; 2024 ; Helsinki, Finland October 20, 2024 - October 22, 2024
2025-03-12
14 pages
Article/Chapter (Book)
Electronic Resource
English
Different levels of autonomous cars , Heterogeneous traffic flow , Cellular automata model , Expressway Computer Science , Computer Applications , Data Mining and Knowledge Discovery , Special Purpose and Application-Based Systems , Geography, general , Transportation Technology and Traffic Engineering
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