A Utility-based Dynamic Demand Estimation Model that Explicitly Accounts for Activity Scheduling and Duration.

This paper proposes a Dynamic Demand Estimation (DODE) framework that explicitly accounts for activity scheduling and duration. By assuming a Utility-Based departure time choice model, the time-dependent origin-destination (OD) flow becomes a function, whose parameters are those of the utility function(s) within the departure time choice model. In this way, the DODE is solved using a parametric approach, which, on one hand, has less variables to calibrate with respect to the classical bi-level formulation while, on the other hand, it accounts for different trip purposes. Properties of the model are analytically and numerically discussed, showing that the model is more suited for estimating the systematic component of the demand with respect to the standard generalized least squares (GLS) formulation. Differently from similar approaches in literature, which rely on agent-based microsimulators and require expensive survey data, the proposed framework is applicable with all those Dynamic Traffic Assignment (DTA) models, which are based on OD matrix, and do not necessarily need any data at user level. This is illustrated by applying the proposed approach with a standard macroscopic realistic DTA.

• Record URL:
  https://doi.org/10.1016/j.trpro.2017.05.025
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146517303034
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2017 Guido Cantelmo et al. Elsevier B.V.
• Authors:
  • Cantelmo, Guido
  • Viti, Francesco
  • Cipriani, Ernesto
  • Nigro, Marialisa
• Conference:
  • 22nd International Symposium on Transportation and Traffic Theory
  • Location: Chicago Illinois, United States
  • Date: 2017-6-24 to 2017-6-26
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References;
• Pagination: pp 440-459
• Serial:
  • Transportation Research Procedia
  • Volume: 23
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Activity choices; Choice models; Departure time; Dynamic traffic assignment; Microsimulation; Origin and destination; Scheduling; Traffic estimation; Traffic flow; Travel demand
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01642251
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 27 2017 10:05AM