JOURNAL ARTICLE

A probabilistic cellular automata model for highway traffic simulation

Abstract

This work presents a probabilistic model for the microscopic simulation of traffic roads based on Nagel-Schreckenberg's model. Each driver's behavior is described through the combination of a continuous probability function with an anticipatory feature that leads to a counter flow velocity tunning. The simulations developed and described herein give rise to a phase diagram which resembles and enriches the fundamental diagram, in its theoretical as well as for real data.

Keywords:
Computer science Cellular automaton Probabilistic logic Traffic model Stochastic cellular automaton Simulation Algorithm Artificial intelligence Computer network

Metrics

13
Cited By
1.42
FWCI (Field Weighted Citation Impact)
13
Refs
0.85
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
Evacuation and Crowd Dynamics
Physical Sciences →  Engineering →  Ocean Engineering
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
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