A cost effective route guidance method for Urban areas using histograms

Hesham El-Sayed, Gokulnath Thandavarayan, Yasser Hawas

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Analysing shortest path for real time traffic environment is crucial with dynamic updating. VANET technology can be used for analysing traffic but generates a huge amount of data to be exchanged, which demands more processing power and resources. In this paper, a new histogram-based route guidance algorithm (HBA) has been proposed based on light weight processing. The proposed algorithm enables selecting the shortest path between any source and destination using the histogram models, which capture the higher order distribution function of the number vehicles in every lane. Furthermore, the histogram model is used to estimate the traffic delays at intersections and roundabouts. The data entity collection through sensors used for histogram modelling is presented in detail. The experimental results show that the proposed algorithm provides a good prediction of road traffic status and a better solution for the congestion problem in the urban areas.

Original languageEnglish
Article number4507352
JournalWireless Communications and Mobile Computing
Volume2017
DOIs
Publication statusPublished - 2017

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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