A Kalman Filter Approach for Exploiting Bluetooth Traffic Data When Estimating Time-Dependent OD Matrices-Reference-Cited by-同舟云学术

A Kalman Filter Approach for Exploiting Bluetooth Traffic Data When Estimating Time-Dependent OD Matrices

Published:2013-01-15 Issue:2 Volume:17 Page:123-141
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Barceló J.¹,Montero L.¹,Bullejos M.¹,Serch O.¹,Carmona C.¹

Affiliation:

1. a Department of Statistics and Operations Research and CENIT (Center for Innovation in Transport) , Technical University of Catalonia , Barcelona , Spain

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2013.764793

Reference28 articles.

1. Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models

2. Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin–Destination Flows

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

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