Two types of algorithms for on-ramp queue estimation are discussed; a Kalman filter and a conservation model. A volume-balancing ratio is introduced to both models to account for unavoidable detector miscounting behavior. Estimation results are compared with queue data observed in the field. The volume-balancing ratio improves both models. Although the conservation model may provide more accurate prediction with balanced volumes, the Kalman filter tends to provide better estimation when the volume-balancing ratio deviates from 1. Generally the Kalman filter provides a better prediction, but the conservation model is simpler to implement. Attempts to improve the Kalman filter further are also explored.
Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2099 , 1 ; 30-38
2009-01-01
Article (Journal)
Electronic Resource
English
Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps
Online Contents | 2009
|Methodologies for Estimating Vehicle Queue Length at Metered On-Ramps
Online Contents | 2008
|Methodologies for Estimating Vehicle Queue Length at Metered On-Ramps
Transportation Research Record | 2008
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