Shen, L, Liu, R orcid.org/0000-0003-0627-3184, Yao, Z et al. (2 more authors) (2019) Development of Dynamic Platoon Dispersion Models for Predictive Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems, 20 (2). pp. 431-440. ISSN 1524-9050
Abstract
As the development of traffic detection technology, recent research is directed to a new generation of signal control systems supported by new traffic data. One of these directions is dynamic predictive control by incorporating short-term prediction capability. This paper focuses on investigating dynamic platoon dispersion models which could capture the variability of traffic flow in a cross-sectional traffic detection environment. The dynamic models are applied to predict the evolution of traffic flow, and further used to produce signal timing plans that account not only for the current state of the system but also for the expected short-term changes in traffic flows. We investigate factors affecting model accuracy, including time-zone length, position of upstream traffic detection equipment, road section length, traffic volume, turning percentages, and computation time. The impact of these factors on the model's performance is illustrated through a simulation analysis, and the computation performance of models is discussed. The results show that both the dynamic speed-truncated normal distribution model and dynamic Robertson model with dynamics outperform their respective static versions, and that they can be further applied for dynamic control.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Traffic signal; cross-sectional traffic detection environment; dynamic platoon dispersion model; flow distribution; predictive control |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Apr 2018 10:35 |
Last Modified: | 26 Feb 2019 11:22 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TITS.2018.2815182 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129650 |