The ability to monitor vehicle queue length accurately at metered on-ramps can improve ramp meter performance and help to create improved ramp metering algorithms. The queue length distribution can be considered as a continuous analog signal, which consists of both deterministic and stochastic components. Three types of methods for the estimation of on-ramp queue length are discussed: Kalman filter, linear occupancy, and Highway Capacity Manual (HCM) back of queue. Queue data estimated with these methods are compared with field-observed queue data and random number samples. The comparisons indicate that the Kalman filter and linear occupancy methods are usable for real-world operations, but both of them have limitations. The HCM back-of-queue method does not produce reliable estimates for on-ramp queue length.
Methodologies for Estimating Vehicle Queue Length at Metered On-Ramps
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2047 , 1 ; 75-82
2008-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Methodologies for Estimating Vehicle Queue Length at Metered On-Ramps
Online Contents | 2008
|Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps
Transportation Research Record | 2009
|Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps
Online Contents | 2009
|