Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints

  • Wolfgang Scherr Swiss Federal Railways (SBB)
  • Patrick Manser Swiss Federal Railways (SBB)
  • Chetan Joshi PTV America Inc.
  • Nathalie Frischknecht Swiss Federal Railways (SBB)
  • Denis Métrailler Swiss Federal Railways (SBB)

Abstract

This article presents an agent-based travel demand model, where agents react to transport supply across all mobility choices. Long-term choices include mobility tool ownership and work locations. Daily travel patterns are simulated at the individual level by sequentially combining activity frequency, activity durations and destinations as well as a rule-based time-of-day scheduling.  A key to success in this novel approach is balancing individual preferences of travelers with system constraints. The model incorporates two types of constraints: 1) capacity constraints of the transport infrastructure. 2) natural time and space constraints during the execution of individual 24-hour day plans. Model results are validated against empirical observations of travel demand in Switzerland. The article concludes with a perspective for further research and development in the field of applied agent-based modeling.

How to Cite
SCHERR, Wolfgang et al. Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints. European Journal of Transport and Infrastructure Research, [S.l.], v. 20, n. 4, p. 152-172, oct. 2020. ISSN 1567-7141. Available at: <https://journals.open.tudelft.nl/ejtir/article/view/4463>. Date accessed: 30 nov. 2020. doi: https://doi.org/10.18757/ejtir.2020.20.4.4463.
Published
2020-10-23