Trajectory-adaptive route choice models : specification, choice set generation, and estimation.
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2013-03-01
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By Gao, Song
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Abstract:The objective of the research is to investigate adaptive route choice behavior using individuallevel route choice data from GPS (Global Positioning System) observations in a real-life
network, where a traveler could revise the route choice based upon trajectory information,
defined as experienced travel times along the traversed road segments. Traffic networks are
inherently uncertain with random disruptions such as incidents and bad weather, and real-time
information on realized traffic conditions could potentially help reduce the uncertainty and thus
travelers could adjust route choices accordingly. Previous studies have shown that an adaptive
route choice model can be estimated in hypothetical, simplified networks with SP (stated
preferences) data, and this research aims to investigate whether such a model can be estimated
and explain adaptive route choice behavior under trajectory information using RP (revealed
preferences) data. The major tasks are to specify a random utility model for adaptive route
choice in a general network, design and implement computer algorithms to generate the choice
set where the alternatives are trajectory-adaptive routing strategies, and estimate the model
against GPS data using existing estimation software.
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