This paper aims to develop a model for an incident response time on freeways. This study utilizes a ten-year crash-data of the state of Ohio from 1990 to 1999. Incident response times on freeways were found by using crash log entries of crash-report time and crash-scene-arrival time in the crash data files. The generalized form of Poisson regression model (Negative Binomial regression model) was eventually developed. However, the additional data that affect the capacity of freeways such as number of lanes and traffic demand at which an incident occurred will help develop accurate model.
Crash Data Based Freeway Incident Response Time Model
Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT) ; 2002 ; Boston Marriot, Cambridge, Massachusetts, United States
2002-07-31
Conference paper
Electronic Resource
English
Crash Data Based Freeway Incident Response Time Model
British Library Conference Proceedings | 2002
|Freeway Operations, Spatiotemporal-Incident Characteristics, and Secondary-Crash Occurrence
Transportation Research Record | 2010
|Freeway Operations, Spatiotemporal-Incident Characteristics, and Secondary-Crash Occurrence
Online Contents | 2010
|Modeling freeway incident response time: A mechanism-based approach
Elsevier | 2012
|Modeling freeway incident response time: A mechanism-based approach
Online Contents | 2013
|