Title
A Mobile Computing Approach To Automatic Traffic Evacuation Management
Abstract
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. © 2006 IEEE.
Publication Date
1-1-2006
Publication Title
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Number of Pages
85-90
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/itsc.2006.1706723
Copyright Status
Unknown
Socpus ID
41849092213 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/41849092213
STARS Citation
Aved, Alexander; Ho, Ai Hua; Hua, Kien A.; Hoang, Lap T.; and Hamza-Lup, Georgiana L., "A Mobile Computing Approach To Automatic Traffic Evacuation Management" (2006). Scopus Export 2000s. 9045.
https://stars.library.ucf.edu/scopus2000/9045