Accurate freeway travel time estimates are critical for transportation management and traveler information¿both infrastructure-based and in-vehicle. Infrastructure managers are interested in estimating optimal freeway sensor density for new construction and retrofits. This paper describes a concept developed from first principles of traffic flow for establishing optimal sensor density based on the magnitude of under- and over-prediction of travel time during shock passages when using the midpoint method. A suggested aggregate measure developed from vehicle hours traveled (VHT) is described for a reasonable range of detector densities. Extensions of the method to account for both recurring and nonrecurring congestion are included. Finally some suggestions for future research are described.
Toward Optimal Sensor Density for Improved Freeway Travel Time Estimation and Traveler Information
2007-09-01
662799 byte
Conference paper
Electronic Resource
English
Travel time estimation oriented freeway sensor placement problem considering sensor failure
Taylor & Francis Verlag | 2017
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