Prediction of Queue Length Considering Upstream Ramp Flow under Abnormal Events on Expressway
ID:2048 View Protection:ATTENDEE Updated Time:2021-12-03 15:36:59 Hits:284 Poster Presentation

Start Time:2021-12-17 09:04(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
Prediction of queue length of vehicles caused by abnormal events of expressway is an important basis for traffic managers to implement effective control of expressway sections. A flow estimation method for the target cross section and a speed estimation method for the target scene by analyzing the impact of ramp flow on the main road flow is proposed. By comparing the applicability of the queue length prediction model based on the classic theory, this paper selects the appropriate model as the basic model and improves it considering the characteristics of the target scene and the actual data conditions, so as to realize the effective prediction of the queue length of the target scene. The validity and stability of the model is verified by the actual data in the target road section.
Keywords
CICTP
Speaker
Weining Liu
Chongqing University

Submission Author
Weining Liu Chongqing University
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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