A dynamic traffic assignment model for highly congested urban networks
Name
Ben-Akiva_A dynamic traffic.pdf
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1.4 MB
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Author(s)
Ben-Akiva, Moshe E.
Gao, Song
Wei, Zheng
Wen, Yang
Date Issued
March 2012
Journal
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier
Citation
Ben-Akiva, Moshe E., Song Gao, Zheng Wei, and Yang Wen. “A Dynamic Traffic Assignment Model for Highly Congested Urban Networks.” Transportation Research Part C: Emerging Technologies 24 (October 2012): 62–82.
Version
Author's final manuscript
Abstract
The management of severe congestion in complex urban networks calls for dynamic traffic assignment (DTA) models that can replicate real traffic situations with long queues and spillbacks. DynaMIT-P, a mesoscopic traffic simulation system, was enhanced and calibrated to capture the traffic characteristics in a sub-area of Beijing, China. The network had 1698 nodes and 3180 directed links in an area of around 18 square miles. There were 2927 non-zero origin–destination (OD) pairs and around 630,000 vehicles were simulated over 4 h of the morning peak. All demand and supply parameters were calibrated simultaneously using sensor counts and floating car travel time data. Successful calibration was achieved with the Path-size Logit route choice model, which accounted for overlapping routes. Furthermore, explicit representations of lane groups were required to properly model traffic delays and queues. A modified treatment of acceptance capacity was required to model the large number of short links in the transportation network (close to the length of one vehicle). In addition, even though bicycles and pedestrians were not explicitly modeled, their impacts on auto traffic were captured by dynamic road segment capacities.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-NoDerivatives
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DOI of Published Version
https://doi.org/10.1016/j.trc.2012.02.006
