Addressing wander effect in vehicle weight monitoring: An advanced hybrid weigh-in-motion system integrating computer vision and in-pavement sensors-Reference-Cited by-同舟云学术

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Addressing wander effect in vehicle weight monitoring: An advanced hybrid weigh-in-motion system integrating computer vision and in-pavement sensors

Published:2024-07 Issue: Volume:234 Page:114870
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Yang Xinyi^ORCID,Wang Xingyu^ORCID,Podolsky Joseph^ORCID,Huang Ying^ORCID,Lu Pan

Funder

US Department of Transportation University Transportation Centers Program

Publisher

Elsevier BV

Reference46 articles.

1. “U.S. vehicle fleet 1990-2022,” Statista. Available: https://www.statista.com/statistics/183505/number-of-vehicles-in-the-united-states-since-1990/. [Accessed: Jan. 12, 2024].

2. D. P. J. Szary D. A. Maher, Implementation of Weigh-in-Motion (WIM) Systems, 2009.

3. Development and testing of a bridge weigh-in-motion method considering nonconstant vehicle speed;Lansdell;Eng. Structures,2017

4. In-pavement wireless weigh-in-motion;Bajwa;Proce. 12th Int. Conference on Information Processing in Sensor Networks,2013

5. Development of a simulated three-dimensional truck model to predict excess fuel consumption resulting from pavement roughness;Liu;Trans. Res. Record,2021

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