An Agent-Based Approach for Modeling Real-Time Travel Information in Transit Systems
2014 (English)In: 5TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2014), THE 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2014), 2014, Vol. 32, 744-749 p.Conference paper (Refereed)
Real-time travel information (RTI) systems are rapidly developed and deployed worldwide using the abundance of instantaneous data and dissemination means. This paper presents a framework for a multi-agent simulation model that emulates the generation and dissemination of RTI. The evolution of transit reliability influences both the performance of RTI generation schemes and the potential benefits that such information could yield. An iterative within-day network loading and a day-to-day learning process represent both service provider and service user ability to apply and adapt their strategies based on past performance and predictions. A case study illustrates model capabilities by applying BusMezzo, an agent-based simulation model of vehicles and travellers. The proposed model facilitates the analysis of alternative prediction schemes as well as the impact of their provision on system performance.
Place, publisher, year, edition, pages
2014. Vol. 32, 744-749 p.
Travel information, Agent-based, Traffic simulation, Prediction.
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-165853DOI: 10.1016/j.procs.2014.05.485ISI: 000361562600092ScopusID: 2-s2.0-84902688702OAI: oai:DiVA.org:kth-165853DiVA: diva2:808931
5th International Conference on Ambient Systems, Networks and Technologies, ANT 2014 and 4th International Conference on Sustainable Energy Information Technology, SEIT 2014; Hasselt; Belgium; 2 June 2014 through 5 June 2014
QC 201506122015-04-292015-04-292015-10-29Bibliographically approved