Citation

Khan T, Dutta P, Mohapatra SS. Transp. Lett. 2023; 15(9): 1126-1139.

Copyright

(Copyright © 2023, Maney Publishing, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19427867.2022.2133375

PMID

unavailable

Abstract

Critical gap has been estimated to investigate the gap acceptance characteristics of U-turning vehicles at mid-block median opening (MBMO) because proper modeling of gap acceptance behavior coupled with the integration of an intelligent transport system (ITS) can offer an efficient and safe driving environment at MBMO. In this regard, support vector machine (SVM) and occupancy time (OT), have been used to estimate the spatial and temporal critical gap of U-turning vehicles. The outcome of this study suggests that the SVM method can perform with better veracity than the OT method in accessing the gap acceptance behavior of U-turning vehicles. The result of the study also indicates SVM method can be used for the prediction of gap acceptance and rejection of U-turning vehicles and further can be integrated with a cognitive architecture for safe and efficient traffic flow and management at MBMO in an ITS environment.

Language: en

Keywords

critical gap; gap acceptance behavior; Mid-block median opening; occupancy time; support vector machine; U-turn