Back to results

Old Dominion University

Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection

Abstract

dc:description.abstract

<p>Vehicular wireless communication has recently generated wide interest in the area of wireless network research. Automatic Incident Detection (AID), which is the recent focus of research direction in Intelligent Transportation System (ITS), aims to increase road safety. These advances in technology enable traffic systems to use data collected from vehicles on the road to detect incidents. We develop an automatic incident detection method that has a significant active road safety application for alerting drivers about incidents and congestion. Our method for detecting traffic incidents in a highway scenario is based on the use of distance and time for changing lanes along with the vehicle speed change over time. Numerical results obtained from simulating our automatic incident detection technique suggest that our incident detection rate is higher than that of other techniques such as integrated technique. probabilistic technique and California Algorithm. We also propose a technique to maximize the number of vehicles aware of Road Side Units (RSUs) in order to enhance the accuracy of our AID technique. In our proposed Method. IEEE 802.11 standard is used at RSUs with multiple antennas to assign each lane a specific channel. To validate our proposed approach. we present both analytical and simulation scenarios. The empirical values which are obtained from both analytical and simulation results have been compared to show their consistency. Results indicate that the IEEE 802.11 standard with its beaconing mechanism can be successfully used for Vehicle to Infrastructure (V2I) communications.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Year dc:date.available
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sha-Mohammad, Sarwar Aziz
Contributors dc:contributor
  • Hussein M. Abdel-Wahab
  • Dimitrie Popescu
  • Ravi Mukkamala
  • Kurt J. Maly

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Identifiers

dc:identifier.*
Identifier
9781339868080
OAI identifier oai:identifier
oai:digitalcommons.odu.edu:computerscience_etds-1063

Chain of custody

source
Harvested from
Old Dominion University
Base URL
digitalcommons.odu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sha-Mohammad, Sarwar Aziz. Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection. Dissertation thesis, 2015. https://digitalcommons.odu.edu/computerscience_etds/63