By Topic

A Mobile Computing Approach to Automatic Traffic Evacuation Management

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Aved, A. ; Central Florida Univ., Orlando, FL ; Ai Hua Ho ; Hua, K.A. ; Hoang, L.T.
more authors

In this paper we first introduce our smart traffic evacuation management system (STEMS), an ITS system in development to quickly and efficiently generate dynamic evacuation plans facilitating the rapid evacuation of a city street network in response to a human-induced disaster. We then broaden STEMS to a 2-tier architecture designed to interact with mobile devices. When incidents occur, STEMS automatically generates an evacuation plan, and prioritizes the deployment of personnel to direct traffic at street intersections by utilizing a voting algorithm and heuristics. Through the use of mobile communication devices the system subsequently coordinates these personnel in directing the evacuation traffic in real time. Our simulation results indicate that STEMS, with the new mobile computing capability, is very effective in mitigating the impacts of the disaster. The benefit can be observed immediately even during an initial response when only a small subset of the intersections can be policed and coordinated before more personnel can arrive at the scene

Published in:

Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE

Date of Conference:

17-20 Sept. 2006