JOURNAL ARTICLE

A cellular automaton model for mixing traffic in two-lane system

Abstract

Based on the Nagel-Schrekenberg(NS) model,we present a mixing traffic flow model for a two-lane traffic system. In this model,the stochastic noise P in NS model is replaced by accelerating probability Pa and braking probabil ity Pd. The fundamental diagrams of the mixing traffic under differen t conditi ons are given by the numerical simulations. We found that the lane-changing prob ability,the mixing rate and acceleration, the braking probability have a great i nfluence on the mixing traffic flow. The slow cars have a decisive action on the mixing traffic.

Keywords:
Mixing (physics) Cellular automaton Acceleration Traffic flow (computer networking) Computer science Simulation Flow (mathematics) Statistical physics Mechanics Physics Algorithm Classical mechanics Computer network

Metrics

15
Cited By
0.94
FWCI (Field Weighted Citation Impact)
0
Refs
0.84
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
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction

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