Estimating the risk of traffic incidents using causal analysis

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

10 Downloads (Pure)

Abstract

Traffic management centres aim to keep the traffic flowing regardless of traffic disturbances. This paper presents a new method for quantitative incident analysis via causality and observations. It is applied to estimate the risk ofvehicular traffic tunnel closures in the city of Tampere, Finland, where the tunnel on a national main road bypasses the city centre. A tunnel closure rapidly causes traffic jams on alternative routes in the city. Also, traffic incidents near the tunnel may propagate and cause tunnel closures. We restrict our analyses to the westbound direction of the traffic on the main road. We combine various open data sources providing information about traffic and driving conditions. The analysis is based on a probabilistic and statistical framework augmented with causal reasoning. We have identified several event paths from congestion after the tunnel to the tunnel closing, as well as approximate capacity limits near selected critical locations.
Original languageEnglish
Title of host publicationProceedings of 8th Transport Research Arena TRA 2020
Subtitle of host publicationAbstracts
Number of pages10
Publication statusAccepted/In press - 12 Mar 2020
MoE publication typeNot Eligible
Event8th Transport Research Arena, TRA 2020 - Conference cancelled - Helsinki, Finland
Duration: 27 Apr 202030 Apr 2020
https://traconference.eu/overview/

Conference

Conference8th Transport Research Arena, TRA 2020 - Conference cancelled
Abbreviated titleTRA 2020
CountryFinland
CityHelsinki
Period27/04/2030/04/20
Internet address

    Fingerprint

Cite this

Kilpi, J., Scholliers, J., Koskinen, S., & Kuusela, P. (Accepted/In press). Estimating the risk of traffic incidents using causal analysis. In Proceedings of 8th Transport Research Arena TRA 2020: Abstracts