Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways-Reference-Cited by-同舟云学术

Crash Risk Assessment Using Intelligent Transportation Systems Data and Real-Time Intervention Strategies to Improve Safety on Freeways

Published:2007-06-30 Issue:3 Volume:11 Page:107-120
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Abdel-Aty Mohamed¹,Pande Anurag¹,Lee Chris¹,Gayah Vikash¹,Santos Cristina Dos¹

Affiliation:

1. a Department of Civil and Environmental Engineering , University of Central Florida , Orlando , Florida , USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450701410395

Reference37 articles.

1. Linking Roadway Geometrics and Real-Time Traffic Characteristics to Model Daytime Freeway Crashes: Generalized Estimating Equations for Correlated Data

2. Identifying crash propensity using specific traffic speed conditions

3. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression

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