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Electrical Engineering and Systems Science > Systems and Control

arXiv:2409.03968 (eess)
[Submitted on 6 Sep 2024]

Title:Jam-absorption driving with data assimilation

Authors:Siyu Li, Ryosuke Nishi, Daichi Yanagisawa, Katsuhiro Nishinari
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Abstract:This paper introduces a data assimilation (DA) framework based on the extended Kalman filter-cell transmission model, designed to assist jam-absorption driving (JAD) operation to alleviate sag traffic congestion. To ascertain and demonstrate the effectiveness of the DA framework for JAD operation, in this paper, we initially investigated its impact on the motion and control performance of a single absorbing vehicle. Numerical results show that the DA framework effectively mitigated underestimated or overestimated control failures of JAD caused by misestimation of key parameters (e.g., free flow speed and critical density) of the traffic flow fundamental diagram. The findings suggest that the proposed DA framework can reduce control failures and prevent significant declines and deteriorations in JAD performance caused by changes in traffic characteristics, e.g., weather conditions or traffic composition.
Comments: SMC 2024. Copyright 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works
Subjects: Systems and Control (eess.SY); Physics and Society (physics.soc-ph)
Cite as: arXiv:2409.03968 [eess.SY]
  (or arXiv:2409.03968v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2409.03968

Submission history

From: Siyu Li [view email]
[v1] Fri, 6 Sep 2024 01:39:16 UTC (1,157 KB)
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