Incident management and traffic information: Simulation-based traffic prediction
2009 (English)In: 16th ITS World Congress, 2009Conference paper (Refereed)Text
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
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
IdentifiersURN: urn:nbn:se:kth:diva-187611ScopusID: 2-s2.0-84954540013OAI: oai:DiVA.org:kth-187611DiVA: diva2:936726
16th World Congress on Intelligent Transport Systems and Services, ITS 2009, 21 September 2009 through 25 September 2009
QC 201606142016-06-142016-05-252016-06-14Bibliographically approved