Real-time crash prediction on freeways using data mining and emerging techniques

Real-time crash prediction on freeways using data mining and emerging techniques

Abstract Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with traffic data collected by discrete loop detectors as well as the web-craw...

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Bibliographic Details
Main Authors: Jinming You, Junhua Wang, Jingqiu Guo
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Journal of Modern Transportation
Subjects:
Crash prediction
Real time
Discrete loop detectors
Web-crawl data
Support vector machines
Online Access:http://link.springer.com/article/10.1007/s40534-017-0129-7

Internet

http://link.springer.com/article/10.1007/s40534-017-0129-7

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