Published
2020-11-12
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Special Issue: Innovations for Transport Planning in China
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Copyright (c) 2020 Ye Tian, Yi-Chang Chiu, Jian Sun, Chen Chai
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How to Cite
Sunsetting skim matrices: A trajectory-mining approach to derive travel time skim matrix in dynamic traffic assignment for activity-base model integration
Ye Tian
Tongji University
http://orcid.org/0000-0002-2225-7566
Yi-Chang Chiu
University of Arizona
Jian Sun
Tongji University
Chen Chai
Tongji University
DOI: https://doi.org/10.5198/jtlu.2020.1551
Keywords: Skim matrix, Vehicle trajectories, Dynamic traffic assignment, Activity-based models, Integrated models
Abstract
The travel impedance skim matrix is one of the most essential intermediate products within transportation forecasting models and is a fundamental input for activity-based transportation forecasting models. It reflects interzonal travel time, travel time reliability, travel costs, etc. by time of day. The traditional method to obtain skim matrices is to execute multiple times of time-dependent, shortest-path calculations. However, the computational and memory use burden can easily increase to an intractable level when dealing with mega-scale networks, such as those with thousands of traffic-analysis zones. This research proposes two new approaches to extract the interzonal travel impedance information from the already existing vehicle trajectory data. Vehicle trajectories store travel impedance information in a more compact format when compared to time-dependent link performance profiles. The numerical experiments highlight huge potential advantages of the proposed approaches in terms of saving both memory and CPU time.
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