01518599

Component

https://doi.org/10.3141/2434-10

http://scholar.google.com...Frei&publication_year=2014

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.

01545262

14-4112

English

pp 80–88

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295222

Print

Figures (3) ; References (23) ; Tables (3)

Advanced traffic management systems; Case studies; Dynamic traffic assignment; Road weather information systems; Snow; Travel behavior; Travel demand management; Weather conditions

Road networks

Chicago (Illinois)

Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I83: Accidents and the Human Factor

TRIS, TRB, ATRI

Jan 27 2014 3:25PM

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• Traffic-Calming Measures Affecting Perceived Speed in Approaching Bends: On-Field Validated Virtual Environment
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• Use of Naturalistic Driving Data to Characterize Driver Behavior in Freeway Shockwaves