Integrating the traffic science with representation learning for city-wide network congestion prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Integrating the traffic science with representation learning for city-wide network congestion prediction

Published:2023-11 Issue: Volume:99 Page:101837
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Zheng Wenqing,Yang Hao (Frank)^ORCID,Cai Jiarui,Wang Peihao,Jiang Xuan,Du Simon Shaolei,Wang Yinhai,Wang Zhangyang

Funder

US Department of Transportation UTC Program

University Transportation Center, Missouri University of Science and Technology

U.S. Department of Transportation

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference63 articles.

1. A survey on cooperative longitudinal motion control of multiple connected and automated vehicles;Wang;IEEE Intell. Transp. Syst. Mag.,2019

2. A distributed algorithm for operating large-scale ridesourcing systems;Zhang;Transp. Res. E,2021

3. Visual cause analytics for traffic congestion;Pi;IEEE Trans. Vis. Comput. Graphics,2019

4. A survey on modern deep neural network for traffic prediction: Trends, methods and challenges;Tedjopurnomo;IEEE Trans. Knowl. Data Eng.,2020

5. Applications of deep learning in congestion detection, prediction and alleviation: A survey;Kumar;Transp. Res. C,2021

Cited by 9 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. Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Predicting vehicle travel time on city streets for trip preplanning and predicting heavy traffic for proactive control of street congestion;Scientific Reports;2024-05-07

4. ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer;Information Fusion;2024-03

5. Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting;IEEE Transactions on Intelligent Transportation Systems;2024

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