Comparison of vehicle re-identification models for trucks based on axle spacing measurements-Reference-Cited by-同舟云学术

Comparison of vehicle re-identification models for trucks based on axle spacing measurements

Published:2018-03-12 Issue:6 Volume:22 Page:517-529
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Basar Gulsevi¹,Cetin Mecit²,Nichols Andrew P.³

Affiliation:

1. Modeling, Simulation, and Visualization Engineering Department, Old Dominion University, Norfolk, Virginia, USA

2. Civil & Environmental Engineering Department, Old Dominion University, Norfolk, Virginia, USA

3. Weisberg Division of Engineering, Marshall University, Huntington, West Virginia, USA

Funder

National Center for Strategic Transportation Policies, Investments, and Decisions

University of Maryland

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/10.1080/15472450.2018.1441027

Reference31 articles.

1. Generating Route-Specific Origin–Destination Tables Using Bluetooth Technology

2. Key Factors Affecting the Accuracy of Reidentification of Trucks over Long Distances Based on Axle Measurement Data

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

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

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