Chapter
Jul 2, 2019
Dynamic Estimation of Queue Length at Signalized Intersections Using GPS Trajectory Data
Authors: Mengdi Guo [email protected], Dingyuan Wang [email protected], Daocheng Fu [email protected], Haoyang Yan [email protected], and Zhao Zhang [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
The estimation of queue length at a signalized intersection, while enormously valuable in traffic operation and management, presents a number of challenges to transportation. One area where traffic optimization and analysis is lacking is the ability to dynamically estimate queue length at intersections where only limited GPS trajectory data were recorded and saved. To solve this challenge, an integer-programming model was proposed to estimate queue length and guarantee the consistent reconstruction of shockwave propagation. The model was further evaluated by comparing the estimated queue length with observed queue length in every signal period based on simulation data. The evaluation results not only demonstrate that the proposed model can estimate queue length, but also indicates the required penetration rate of floating vehicles.
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Published In
CICTP 2019
Pages: 2660 - 2671
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Affiliations
School of Transportation Science and Engineering, Beihang Univ., 37 Xueyuan Rd., Haidian District, Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., 37 Xueyuan Rd., Haidian District, Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., 37 Xueyuan Rd., Haidian District, Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., 37 Xueyuan Rd., Haidian District, Beijing 100191, China. E-mail: [email protected]
Beijing Advanced Innovation Center for Big Data and Brian Computing, School of Transportation Science and Engineering, Beihang Univ., 37 Xueyuan Rd., Haidian District, Beijing 100191, China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.