Literature Database Entry

nayak2018phva

R. P. Nayak, D. S. Sethi and D. S. K. Bhoi, "PHVA: A Position Based High Speed Vehicle Detection Algorithm for Detecting High Speed Vehicles using Vehicular Cloud," Proceedings of International Conference on Information Technology (ICIT 2018), Bhubaneshwar, India, December 2018, pp. 227–232.

Abstract

High speed vehicles or driving by consuming alcohol is one of the main reasons of accidents. So, the number of accidents can be decreased by controlling the vehicles moving at higher speed. In this paper, we proposed a Position Based High Speed Vehicle Detection Algorithm (PHVA) for detecting the higher speed vehicles in a Vehicular Ad Hoc Network (VANET) by using a vehicular cloud server, where the cloud server is used as computing as a service. The proposed algorithm calculates the speed of a vehicle based on the data directly received from the Road Side Units (RSUs). When a vehicle comes under the coverage of an RSU, RSU receives the time, position and other information about the vehicle. RSU then sends the received information to the Cloud Server (CS). Based on the information received from the nearby RSUs, the CS calculates the average speed for that vehicle in a particular lane. The calculated speed is then compared with that of the permitted speed on that lane. If it is greater than the permitted limit, then the CS increments the speed violation counter for that vehicle. Depending upon the frequency of violation and with the help of Certification Authority (CA), appropriate action will be taken on that high speed vehicle. To check the efficiency of our PHVA algorithm, we simulated our work in Vehicles in Network Simulation (Veins) hybrid simulation framework. Veins uses Simulation of Urban Mobility (SUMO) as the road traffic simulator and OMNeT++ as the network simulator. Both simulators are connected via a TCP socket which has been standardized in Traffic Control Interface (TraCI). The results show that our algorithm has better detection accuracy over ReVISE scheme in this environment.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

R. P. Nayak
D. S. Sethi
D. S. K. Bhoi

BibTeX reference

@inproceedings{nayak2018phva,
    author = {Nayak, R. P. and Sethi, D. S. and Bhoi, D. S. K.},
    doi = {10.1109/ICIT.2018.00054},
    title = {{PHVA: A Position Based High Speed Vehicle Detection Algorithm for Detecting High Speed Vehicles using Vehicular Cloud}},
    pages = {227--232},
    address = {Bhubaneshwar, India},
    booktitle = {International Conference on Information Technology (ICIT 2018)},
    month = {12},
    year = {2018},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.