Extended Urban Cell Transmission Model Using Agent-based Modeling

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In this study, we propose an extended Urban Cell Transmission Model (UCTM) that uses the agent concept to handle complex traffic behavior such as signalized intersections in urban arterial traffic. In particular, the proposed model accounts for the turning and traffic signal modeling in intersections, the lane-changing behavior. The proposed model replicates the periodical queue generation and dissipation caused by the traffic signal at the intersection. For a realistic lane-changing behavior, we define two types of lane-changing depending whether to follow the route or to obtain additional benefits from the travel time. The model is validated with the NGSIM arterial dataset and the results show that the performance of the proposed model replicates the overall urban traffic phenomena adequately. © 2020 The Authors. Published by Elsevier B.V.All rights reserved.
Publisher
Acadia University
Issue Date
2020-04-06
Language
English
Citation

The 11th International Conference on Ambient Systems, Networks and Technologies, ANT 2020, pp.354 - 361

ISSN
1877-0509
DOI
10.1016/j.procs.2020.03.058
URI
http://hdl.handle.net/10203/280182
Appears in Collection
CE-Conference Papers(학술회의논문)
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