Performance evaluation of road traffic control using a fuzzy cellular model

Authors:
Bartłomiej Płaczek
Affiliations:
Faculty of Transport, Silesian University of Technology, Krasińskiego, Katowice, Poland
Venue:
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Year:
2011

Citing 4
Cited 0

Numerical methods for interval and fuzzy number comparison based on the probabilistic approach and Dempster-Shafer theory

Information Sciences: an International Journal
A survey of urban vehicular sensing platforms

Computer Networks: The International Journal of Computer and Telecommunications Networking
Fuzzy cellular model for on-line traffic simulation

PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
On fuzzy number calculus and some application

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a method is proposed for performance evaluation of road traffic control strategies. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control. 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 data. The fuzzy definitions of performance measures are convenient for uncertainty determination in traffic control decisions.