ATIS at Rush Hour: Adaptation and Departure Time Coordination in Iterated Commuting
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AUTHOR NAME
Terence Kelly
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AUTHOR AFFIL
Artificial Intelligence Lab; University of Michigan
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AUTHOR ADDR
Ann Arbor, MI 48109 USA
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ABSTRACT
Morning commuters adjust their departure times in response to day-to-day changes in congestion. Advanced Traveler Information Systems (ATIS) may enable motorists to employ fundamentally new strategies when adapting their departure times to fluctuations in congestion. At the same time, new driver strategies will likely give rise to different road network behaviors. This paper explores the mutual feedback between driver strategy and traffic system performance through a simulation model of rush hour commuting. Motorists in this model choose departure times according to three adaptive strategies. When commuters apply adaptive strategies that require ATIS in the present model, outcomes for both individual motorists and the system as a whole are by several measures worse than when drivers use a simple strategy that does not require ATIS. These results largely agree with an earlier study of a nearly identical model of rush-hour commuting. This document is available in HTML on the ...