A cellular automata traffic flow model considering the heterogeneity of acceleration and delay probability

Qi-Lang Li, S.C. Wong, Jie Min, Shuo Tian and Bing-Hong Wang

Physica A: Statistical Mechanics and its Applications, 2016, vol. 456, issue C, 128-134

Abstract: This study examines the cellular automata traffic flow model, which considers the heterogeneity of vehicle acceleration and the delay probability of vehicles. Computer simulations are used to identify three typical phases in the model: free-flow, synchronized flow, and wide moving traffic jam. In the synchronized flow region of the fundamental diagram, the low and high velocity vehicles compete with each other and play an important role in the evolution of the system. The analysis shows that there are two types of bistable phases. However, in the original Nagel and Schreckenberg cellular automata traffic model, there are only two kinds of traffic conditions, namely, free-flow and traffic jams. The synchronized flow phase and bistable phase have not been found.

Keywords: Traffic flow; Cellular automata; Heterogeneity; Acceleration; Delay probability (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:456:y:2016:i:c:p:128-134

DOI: 10.1016/j.physa.2016.03.026

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