01479261

Component

https://doi.org/10.3141/2351-08

http://scholar.google.com...rese&publication_year=2013

This paper presents a two-stage stochastic program that reoptimizes multimodal transit schedules citywide. The model works by perturbing or offsetting the schedule such that the expected value of waiting times at all transfer points in the system is minimized. Probabilistic information on transfers is gathered from a prototypical journey planner, a public-facing tool that transit riders query to find optimal paths through a multimodal network. Aggregating journey plans in this manner provides information on optimal transfers as perceived by the service operator, which are then targeted for improvements. The model is implemented on the large-scale transit network of Washington, D.C., where sampled journey plans representing 9% of the daily transit demand are used to generate a modified schedule that leads to a reduction in passenger wait times by 26.38%. The results serve to demonstrate how operators can take a user-centric view of their system as a fabric of services, gain insights from user interaction, and achieve no-cost improvements from coordinating services while accounting for uncertainty.

01517273

13-4058

English

pp 65–75

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309286992

Print

Figures (10) ; Maps; References (30)

Optimization; Schedules; Transfer centers; Transit operating agencies; Transit riders; Travel time; Waiting time

Washington (District of Columbia)

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:47PM

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