Travel Time Forecasting and Dynamic Origin-Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring

Jaume Barceló · Lídia Montero · Laura Marqués · Carlos Carmona

227 citations0/0 files storedTransportation Research Record Journal of the Transportation Research Board

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Traffic Prediction and Management Techniques Transportation Planning and Optimization Traffic control and management

Abstract

Traditional technologies, such as inductive loop detectors, do not usually produce measurements of the quality required by real-time applications. Therefore, one wonders what could be expected from newer information and communication technologies, such as automatic vehicle location, license plate recognition, and detection of mobile devices. The main objectives of this paper are to explore the quality of the data produced by Bluetooth detection of mobile devices that equip vehicles for travel time forecasting and its use in estimating time-dependent origin-destination matrices. Ad hoc procedures based on Kalman filtering have been designed and implemented successfully, and the numerical results of the computational experiments are presented and discussed.

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References

1967Applied Economic Forecasting 2003Dynamic Travel Time Prediction with Real-Time and Historic Data 2003Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway 2000Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin–Destination Flows 1998Travel time studies with global positioning and geographic information systems: an integrated methodology 2008An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices 2001Network State Estimation and Prediction for Real-Time Traffic Management 1987Recursive estimation of origin-destination matrices from input/output counts

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