Document Type
Article
Publication Date
10-19-2021
Publication Title
IEEE Transactions on Intelligent Transportation Systems
Abstract
We present a novel analytical model to approximate the travel-time distribution of vehicles traversing a freeway corridor that experiences random quality of service degradations due to non-recurrent incidents. The proposed model derives the generating function of travel times in closed-form using clearance time, incident frequency and severity, and other ordinary traffic characteristics. We validate the model using data from a freeway corridor where weather events and traffic accidents serve as the principal causes of service degradation. The resulting model is equivalent in performance to widely used methodologies while uniquely providing a clear connection on how incidents affect travel time distribution. With this connection, the model readily yields travel time reliability measures for alternative roadway behaviors, providing crucial information for long-term planning.
DOI
10.1109/TITS.2021.3119024
Version
Postprint
Publisher's Statement
© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Recommended Citation
Baykal-Gürsoy, Melike; Benton, Andrew Reed; Lopes Gerum, Pedro Cesar; and CAndia, Marcelo Figueroa, "How Random Incidents Affect Travel-Time Distributions" (2021). Supply Chain Management. 1.
https://engagedscholarship.csuohio.edu/bussup/1
