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

Authors

  • 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)

DOI:

https://doi.org/10.18757/ejtir.2020.20.4.4463

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.

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Published

2020-10-23

How to Cite

Scherr, W., Manser, P., Joshi, C., Frischknecht, N., & Métrailler, D. (2020). Towards agent-based travel demand simulation across all mobility choices – the role of balancing preferences and constraints. European Journal of Transport and Infrastructure Research, 20(4), 152–172. https://doi.org/10.18757/ejtir.2020.20.4.4463

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Section

Articles