HBA-histogram based algorithm for real time route forecasting in urban area

El-Sayed, Hesham; Zhang, Liren; Thandavarayan, Gokulnath; Hawas, Yaser E.

doi:10.1109/icc.2016.7511189

Cited by 6 publications

(1 citation statement)

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“…Informing traffic patterns [15,16] in prior makes the trip more robust. Precautious measure congestion based cost function should be estimated for every lane to predict the best possible route from source to destination [17,18].…”

Section: Introductionmentioning

confidence: 99%

A Cost Effective Route Guidance Method for Urban Areas Using Histograms

El-Sayed

Thandavarayan

Hawas

2017

Wireless Communications and Mobile Computing

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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.

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