Title
Safety Applications Of Automatic Vehicle Identification And Real-Time Weather Data On Freeways
Abstract
While the most common application of the Automatic Vehicle Identification (AVI) is electronic toll collection and travel time estimation, there is a promising traffic safety application in the context of Advanced Travel Management (ATM). This paper examines the usefulness of traffic data collected from Automatic Vehicle Identification systems and weather data in real-time crash analysis. Matched case-control was used to link real-time space mean speed collected by AVI and real-time weather data and crash likelihood. The 10-minute average speed five minutes before the crash occurrence and the 1-hour visibility both before the crash time were found to be the most significant factors that affect the crash likelihood.
Publication Date
1-1-2011
Publication Title
18th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2011
Volume
2
Number of Pages
1353-1363
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84896966623 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84896966623
STARS Citation
Ahmed, Mohamed; Yu, Rongjie; and Abdel-Aty, Mohamed, "Safety Applications Of Automatic Vehicle Identification And Real-Time Weather Data On Freeways" (2011). Scopus Export 2010-2014. 3127.
https://stars.library.ucf.edu/scopus2010/3127