A Kalman filter-based queue estimation algorithm using time occupancies for motorway on-ramps
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Accepted Version
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Lee_and_Jiang_TRB_2012_Nov_15.pdf. |
Description
The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is the most vital input for a dynamic queue management that can treat long queues on metered on-ramps more sophistically. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in the congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.
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ID Code: | 59002 | ||
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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Measurements or Duration: | 19 pages | ||
Pure ID: | 32465775 | ||
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > Smart Transport Research Centre |
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Copyright Owner: | Copyright 2013 [please consult the author] | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 09 Apr 2013 04:08 | ||
Last Modified: | 08 Mar 2024 08:29 |
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