@inproceedings{42aa25a1f4874cf0afb38fbf113fec2c,
title = "A histogram-based model for road traffic characterization in VANET",
abstract = "This paper presents a new route guidance algorithm and a compact road traffic model that can be easily obtained and transmitted in real-time by individual vehicles while they are travelling on streets or queuing in road cross junctions. The proposed algorithm uses histograms as the network traffic model that captures the arrival rate distribution in VANET. In addition, the paper presents an analysis method that works directly with the histogram model to obtain the queue occupancy distribution at cross-junctions or traffic signals using a finite queue model. A microscopic simulation model is utilized to assess the effectiveness of the traffic model in detecting traffic congestion and directing vehicles to choose better paths. Results show that the proposed road traffic model provides a good prediction of road traffic status, and can be used in conjunction with any standard shortest path algorithms to provide an efficient mechanism for selecting fastest road path.",
keywords = "Histograms, Route Guidance, Traffic Modeling, VANET",
author = "Hesham El-Sayed and Liren Zhang and Yasser Hawas and {El Kassabi}, Hadeel",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11167-4_5",
language = "English",
isbn = "9783319111667",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "42--55",
booktitle = "Internet of Vehicles - Technologies and Services - First International Conference, IOV 2014, Proceedings",
note = "1st International Conference on Internet of Vehicles, IOV 2014 ; Conference date: 01-09-2014 Through 03-09-2014",
}
