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Incident management and traffic information: Simulation-based traffic prediction
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2009 (English)In: 16th ITS World Congress, 2009Conference paper (Refereed)Text
Abstract [en]

Incident response and mitigation are the main tasks of operators at traffic control centres. Simulation models have a good chance of reproducing and predicting the effects of incident response by explicitly modelling drivers' responses to the incident and provided information. In the PREDIKT project, sponsored by the Swedish National Road Administration, a state-of-the-art mesoscopic simulation model (MEZZO) has been extended to provide decision support for incident management. In this paper we describe and test a number of essential modelling components such as modelling the incident response logic, a mixed-Logit model and a method for generation of alternative routes for drivers' route switching. In addition we present the results of a fast calibration method based on Simultaneous Perturbation Statistic Approximation (SPSA). The model components are tested in a small case study that investigates the impact of delay in information after incidents.

Place, publisher, year, edition, pages
2009.
Keyword [en]
Decision support systems, Intelligent systems, Intelligent vehicle highway systems, Alternative routes, Calibration method, Incident Management, Mesoscopic simulation, Mixed logit models, Simultaneous perturbation, Traffic information, Traffic prediction, Traffic control
Identifiers
URN: urn:nbn:se:kth:diva-187611ScopusID: 2-s2.0-84954540013OAI: oai:DiVA.org:kth-187611DiVA: diva2:936726
Conference
16th World Congress on Intelligent Transport Systems and Services, ITS 2009, 21 September 2009 through 25 September 2009
Note

QC 20160614

Available from: 2016-06-14 Created: 2016-05-25 Last updated: 2016-06-14Bibliographically approved

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