Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

TL;DR

This paper introduces a fuzzy cellular model for real-time evaluation of traffic control systems, enabling optimization under uncertain traffic measurements through hybrid automata and fuzzy calculus.

Contribution

It presents a novel hybrid fuzzy cellular model for online traffic performance evaluation, integrating fuzzy logic with cellular automata for better uncertainty handling.

Findings

Effective performance evaluation with imprecise data

Facilitates adaptive traffic control optimization

Enhances decision-making under uncertainty

Abstract

In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies. Performance measures are computed using a fuzzy cellular traffic model, formulated as a hybrid system combining cellular automata and fuzzy calculus. Experimental results show that the introduced method allows the performance to be evaluated using imprecise traffic measurements. Moreover, the fuzzy definitions of performance measures are convenient for uncertainty determination in traffic control decisions.