Fuzzy logic application for pedestrian crossing

Ayad Mashaan Turky, Mohd Sharifuddin Ahmad, Mohd Zaliman Mohd Yusoff, Nasser R. Sabar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we describe the design of an intelligent pedestrian crossing and vehicle controller based on fuzzy logic technology. This paper is part of our work in which we attempt to use genetic algorithm and fuzzy logic in traffic light control and pedestrian crossing. In our approach, we use two sensors, the first one calculates the vehicle density and the other calculates the pedestrian density. We developed an algorithm to simulate the situation of an isolated lane based on this technology. We then compare the performance between the fuzzy logic controller and a conventional fixed time controller and the results show that the fuzzy logic controller performs better.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
DOIs
Publication statusPublished - 12 Dec 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Publication series

NameProceedings - International Symposium on Information Technology 2008, ITSim
Volume1

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CountryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Turky, A. M., Ahmad, M. S., Mohd Yusoff, M. Z., & Sabar, N. R. (2008). Fuzzy logic application for pedestrian crossing. In Proceedings - International Symposium on Information Technology 2008, ITSim [4631591] (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 1). https://doi.org/10.1109/ITSIM.2008.4631591