A Cell Automation Traffic Flow Model for Mixed Traffic
Guangjiao Chen, Fankun Meng, Guolong Fu, Mingyang Deng, Ling Li
Abstract
Open-access reader
Guangjiao Chen, Fankun Meng, Guolong Fu, Mingyang Deng, Ling Li
Abstract
Open-access reader
Based on the existing research on cellular automata traffic flow model, this paper proposed an improved model for mixed traffic flow in real-time traffic data environment in China. Driver's characteristic is defined according to the NS model and the FI model. In accordance with the mixed traffic flow, a cellular automaton traffic model is proposed. In this model, vehicles are defined in different lengths and different maximum speed, and mixed on single lane and bi-lane with periodic boundary condition. The traffic flow characteristics are analyzed and discussed by computer numerical simulation.
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Based on the existing research on cellular automata traffic flow model, this paper proposed an improved model for mixed traffic flow in real-time traffic data environment in China. Driver's characteristic is defined according to the NS model and the FI model. In accordance with the mixed traffic flow, a cellular automaton traffic model is proposed. In this model, vehicles are defined in different lengths and different maximum speed, and mixed on single lane and bi-lane with periodic boundary condition. The traffic flow characteristics are analyzed and discussed by computer numerical simulation.
Key concepts: Cellular automaton, Traffic flow (computer networking), Microscopic traffic flow model, Computer science, Automation, Traffic model, Flow (mathematics), Traffic generation model