Bayesian Models for Reidentification of Trucks Over Long Distances on the Basis of Axle Measurement Data-Reference-Cited by-同舟云学术

Bayesian Models for Reidentification of Trucks Over Long Distances on the Basis of Axle Measurement Data

Published:2011-02-13 Issue:1 Volume:15 Page:1-12
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Cetin Mecit¹,Monsere Christopher M.²,Nichols Andrew P.³

Affiliation:

1. a Department of Civil and Environmental Engineering , Old Dominion University Norfolk , Virginia, USA

2. b Department of Civil and Environmental Engineering , Portland State University , Portland, Oregon, USA

3. c Marshall University , Huntington, West Virginia, USA

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/10.1080/15472450.2011.544571

Reference22 articles.

1. Experience Implementing a User Service for Archived Intelligent Transportation Systems Data

2. Impacts of Sensor Spacing on Accurate Freeway Travel Time Estimation for Traveler Information

3. Improving the Accuracy of Vehicle Reidentification Algorithms by Solving the Assignment Problem

4. Identifying the onset of congestion rapidly with existing traffic detectors

5. Vehicle reidentification and travel time measurement on congested freeways

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