Integrating behavioral models in network operations: Evaluating traveler information and demand management for weather-related events

Andreas Frei, Hani S. Mahmassani*, Ali Zockaie, Charlotte Frei

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

The main goal of the study was to integrate demand models into weather-responsive network traffic estimation and prediction system methodologies. The study examined the behavioral responses of travelers along several dimensions in response to weather-related transportation management strategies in conjunction with active travel demand management strategies before and during severe weather events. Specific management interventions included pretrip, information-based mode, and departure time choice adjustments, as well as policy-based rescheduling of school hours. The paper presents a case study of the Chicago, Illinois, area network under snow conditions to assess the effect of a combination of demand management strategies to maintain the same level of network performance as under clear weather conditions. A combination of earlier dissemination of information and school-opening policy resulted in a similar level of network performance maintained under a median snow day as compared with a clear weather day. The paper presents integrated supply and demand models for simulation and an assessment of demand management strategies in conjunction with weather-related congestion.

Original languageEnglish (US)
Pages (from-to)80-88
Number of pages9
JournalTransportation Research Record
Volume2434
DOIs
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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