A hybrid neural network for large-scale expressway network OD prediction based on toll data

Author:

Fu XinORCID,Yang Hao,Liu Chenxi,Wang Jianwei,Wang Yinhai

Funder

The Fundamental Research Funds for The Central Universities

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. A Neural Network Approach for Motorway OD Matrix Estimation from Loop Counts;L Mussone;Journal of Transportation Systems Engineering and Information Technology,2010

2. Analysis of Tokyo Metropolitan Expressway’s demand using ETC-OD data;M Miska;Proceedings of Infrastructure Planning in Japan,2009

3. OD matrix estimation for urban expressway;Y Wang;Journal of Transportation Systems Engineering and Information Technology,2010

4. Origin-destination matrices estimation model using automatic vehicle identification data and its application to the Han-Shin expressway network;Y Asakura;Transportation,2000

5. Evaluation of Mobility Performance with Toll Data for Jingshen Expressway in China;T Qu;Transportation Research Record: Journal of the Transportation Research Board,2014

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatiotemporal differentiation calendar for car and truck flow on expressways: A case study of Jiangsu, China;Journal of Transport Geography;2024-04

2. Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China;Journal of Advanced Transportation;2023-09-29

3. Cooperative and Comprehensive Multi-Task Surveillance Sensing and Interaction System Empowered by Edge Artificial Intelligence;Transportation Research Record: Journal of the Transportation Research Board;2023-04-04

4. Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme;IEEE Transactions on Intelligent Transportation Systems;2022-12

5. Deep Learning Approaches for Image Classification Techniques;2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2022-02-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3