A Kalman filter based queue estimation algorithm using time occupancies for motorway on-ramps
Lee, Jinwoo (Brian), Jiang, Rui, & Chung, Edward (2013) A Kalman filter based queue estimation algorithm using time occupancies for motorway on-ramps. In Transportation Research Board 92nd Annual Meeting, 13-17 January 2013, Washington, D.C.
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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|Item Type:||Conference Paper|
|Keywords:||Queue, Queue estimation, Motorway, On-ramp, Traffic queue|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
|Copyright Owner:||Copyright 2013 [please consult the author]|
|Deposited On:||09 Apr 2013 04:08|
|Last Modified:||19 May 2014 15:10|
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