Improved multi-lane traffic flow simulation based on weigh-in-motion data-Reference-Cited by-同舟云学术

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Improved multi-lane traffic flow simulation based on weigh-in-motion data

Published:2022-01 Issue: Volume:188 Page:110408
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Huang Pingming,Wang Junfeng,Xu Xin,Yang Gan,Chen Shizhi,Yuan Yangguang,Han Wanshui

Funder

National Key Research and Development Program of China

Natural Science Basic Research Program of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference33 articles.

1. Vehicle weight identification system for spatiotemporal load distribution on bridges based on non-contact machine vision technology and deep learning algorithms;Zhou;Measurement.,2020

2. Measurement-based bearing capacity evaluation for small and medium span bridges;Liang;Measurement.,2020

3. Identification of moving loads based on the information fusion of weigh-in-motion system and multiple camera machine vision;Dan;Measurement.,2019

4. Xie, Bridge vehicle load model on different grades of roads in China based on Weigh-in-Motion (WIM) data;Chen;Measurement.,2018

5. An improved cellular automaton with axis information for microscopic traffic simulation;Ruan;Transportation Research Part C.,2017

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