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Permanent link (DOI): https://doi.org/10.7939/R3N58CV27

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Asymmetric Driver Behaviour-Based Algorithms for Estimating Real-Time Freeway Operational Capacity Open Access

Descriptions

Other title
Subject/Keyword
Asymmetric Driver Behaviour
Variable Speed Limit
Bottleneck capacity drop
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Luo,Ying
Supervisor and department
Zhi-jun Qiu, Deparment of Civil and Environmental Engineering
Examining committee member and department
Amy kim, Deparment of Civil and Environmental Engineering
Zhi-jun Qiu, Deparment of Civil and Environmental Engineering
Majid Khabbazian, Deparment of Electrical and Computer Engineering
Department
Department of Civil and Environmental Engineering
Specialization
Transportation Engineering
Date accepted
2013-09-26T11:02:04Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
To mitigate recurrent and non-recurrent congestion, and to make full use of limited roadway capacity, numerous Active Traffic Demand Management (ATDM) strategies have been proposed, developed and implemented. Segment capacity, a basic input of ATDM predictive models, has been commonly considered a fixed value; however, this consideration does not allow for the probability that complex segment capacity may vary as prevailing traffic conditions vary. Limited research was found that develops analytical models for real-time capacity estimation. This thesis proposes an asymmetric driver behaviour-based algorithm to model multi-lane traffic flow dynamics. By considering car-following and lane-changing behaviours at critical freeway segments, i.e. active bottlenecks and Variable Speed Limit (VSL)-controlled segments, the proposed method obtains real-time freeway operational capacity estimation. The model parameters have been calibrated with field observations taken in Edmonton, Alberta, Canada. The results show that the proposed algorithm accurately estimates real-time operational capacity at complex freeway segments.
Language
English
DOI
doi:10.7939/R3N58CV27
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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