Show all publications

Towards an Agent-Based Model for Demand-Responsive Transport Serving Thin Flows

Download PDFDownload Bibliography in Open DocumentDownload Bibliography in HTMLDownload BibTeXDownload RISDownload Bibliographical Ontology (RDF)
In Proc. of The 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS 2016), Procedia Computer Science, Elsevier, 2016.
Low volume traveler flows cause problems for public transportation (PT) providers. The Smart- PT project aims to find out how such flows can be combined to increase the service provider viability. The capability to conceive multi-modal trips is fundamental in that context and is modeled by the Trip Sequence Composer (TSC) concept. A TSC is an essential component of the traveler’s brain, of the customer support operated by collective transport providers, of trip advisers in websites etc. We present a simulation model design to evaluate the effect of cooperating TSCs on the viability of demand responsive collective transport providers. While obeying specific regulations, specialized services targeting mobility impaired people can also serve regular requests in order to save fleet and personnel costs.
Demand-Responsive Transport, Thin Flows, Micro- Simulation, Agent-Based Modeling, Organizational Modeling
Publication Category:
International conference with proceedings
Copyright 2010-2019 © Laboratoire Connaissance et Intelligence Artificielle Distribuées - Université Bourgogne Franche-Comté - Privacy policy