JOURNAL ARTICLE

Cellular Automata Model for Mixed Traffic Flow with Lane Changing Behavior

Devaraj HanumappaParthasarathy Ramachandran

Year: 2021 Journal:   Modelling and Simulation in Engineering Vol: 2021 Pages: 1-10   Publisher: Hindawi Publishing Corporation

Abstract

Indian cities are seen with predominantly mixed traffic plying on the streets. Modeling the mixed traffic involving vehicles characterised of different speed, length, and width is a challenging issue. Based on the finer cell system of cellular automata (CA) models, this paper proposes to evaluate the mixed traffic behavior with cars and motorcycles for intermediate lane width, which is more common in Indian cities. The maximum car flow is observed (even with the presence of motorcycles) in the results which is higher than the Na-Sch model for cars. This increase is mainly due to the changing behavior. The car flow decreases as the density of the motorcycle increases. Furthermore, the paper proposes to evaluate the effect of lane change behavior on the speed and flow of the traffic stream using the fundamental diagrams of speed flow density curves. The simulation result suggests that lane change probability has little effect on the speed and flow of the traffic stream.

Keywords:
Cellular automaton Traffic flow (computer networking) Flow (mathematics) Computer science Automaton Automotive engineering Simulation Transport engineering Engineering Algorithm Mathematics Computer network Geometry Artificial intelligence

Metrics

10
Cited By
0.93
FWCI (Field Weighted Citation Impact)
32
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Cellular Automata and Applications
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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