Elise Miller-Hooks

Publications: Journal 07

“Impact of Travel Time Models on Quality of Real-Time Routing Instructions”

Transportation Research Record 1857, 21-29.
Miller-Hooks, E. and B. Yang (2003)


Mobile communication systems coupled with ITS (Intelligent Transportation Systems) technologies can permit Information Service Providers to supply real-time routing instructions to suitably equipped vehicles as real-time travel times are received. Simply considering current conditions in updating routing decisions, however, may lead to suboptimal path choices, because future travel conditions will likely differ from that presently observed. Even with perfect and continuously updated information about current conditions, future travel times can at best be known a priori with uncertainty.

Further, in congested transportation systems, conditions vary over time as recurrent congestion may change with a foreseeable pattern during peak driving hours. In this paper, we postulate that better, more robust, routing instructions can be provided by explicitly accounting for this inherent stochastic and dynamic nature of future travel conditions in generating the routing instructions. We further hypothesize that nearly equally good routing instructions can be provided by collecting real-time information from only a small neighborhood within the transportation system as from the entire system.

Extensive numerical experiments were conducted to assess the validity of these two hypotheses, results of which are reported herein.

Elise Miller-Hooks, Ph.D.
Bill & Eleanor Hazel Chair in Infrastructure Engineering

Phone: 703.993.1685
Email: miller@gmu.edu

Office: 4614 Nguyen Engineering Building

Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering
George Mason University
4400 University Drive, MS 6C1
Fairfax, VA 22030


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