Preliminary communication

https://doi.org/10.17559/TV-20170104093330

Multi-Step Approach to Improving Accuracy of Incident Duration Estimation: Case Study of Istanbul

Halit Ozen orcid.org/0000-0003-4031-7283 ; Yildiz Technical University, Faculty of Civil Engineering, Department of Transportation Engineering, Davutpasa Campus, Esenler, Istanbul, Turkey
Abdulsamet Saracoglu* orcid.org/0000-0002-6695-4865 ; Yildiz Technical University, Faculty of Civil Engineering, Department of Transportation Engineering, Davutpasa Campus, Esenler, Istanbul, Turkey

Abstract

Unexpected events, such as crashes, disabled vehicles and spilled loads cause traffic congestion or increase the level of existing congestion on roads. Traffic incident management requires the estimation of incident duration from the beginning to the final stage of the event, in order to identify the most suitable strategies for decreasing their impact. Accordingly, the adverse effects of an incident can be minimised by efficiently managing the process between the time the incident occurred and the traffic returning to normal operating conditions. The purpose of this paper is to present a methodology and improve the accuracy of the model by using a multi-step approach to estimate the duration of an incident. For this purpose, incident duration data was obtained for Istanbul Transit Europe Motorways (TEM). Using the incident data and implementing the multi-step approach, Kalman Filtering and linear regression analysis in stepwise, were used for the incident duration estimation model.

Keywords

incident duration; Kalman Filter; linear regression; multi-step approach; traffic incident

Hrčak ID:

228528

URI

https://hrcak.srce.hr/228528

Publication date:

27.11.2019.

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