Fuzzy cellular model for on-line traffic simulation

TL;DR

This paper presents a fuzzy cellular model for real-time traffic simulation that incorporates uncertainty in data and vehicle parameters, enabling detailed analysis of traffic queues and comparison with cellular automata models.

Contribution

It introduces a novel fuzzy cellular approach for online traffic simulation that models vehicle parameters with fuzzy numbers, enhancing uncertainty handling.

Findings

The fuzzy model effectively simulates vehicle queue discharge.

Comparison shows the fuzzy model's results align with cellular automata.

The approach handles input and output uncertainties in traffic simulation.

Abstract

This paper introduces a fuzzy cellular model of road traffic that was intended for on-line applications in traffic control. The presented model uses fuzzy sets theory to deal with uncertainty of both input data and simulation results. Vehicles are modelled individually, thus various classes of them can be taken into consideration. In the proposed approach, all parameters of vehicles are described by means of fuzzy numbers. The model was implemented in a simulation of vehicles queue discharge process. Changes of the queue length were analysed in this experiment and compared to the results of NaSch cellular automata model.