Feature selection‐based approach for urban short‐term travel speed prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Feature selection‐based approach for urban short‐term travel speed prediction

Published:2018-03-13 Issue:6 Volume:12 Page:474-484
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Zheng Liang¹,Zhu Chuang¹,Zhu Ning²,He Tian³,Dong Ni⁴,Huang Helai¹

Affiliation:

1. School of Traffic and Transportation EngineeringCentral South UniversityChangshaPeople's Republic of China

2. College of Management & EconomicsInstitute of Systems Engineering, Tianjin UniversityPeople's Republic of China

3. College of Resource and Environmental ScienceHunan Normal UniversityChangshaPeople's Republic of China

4. School of Transportation and LogisticsSouthwest Jiaotong UniversityChengduPeople's Republic of China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2017.0059

Reference54 articles.

1. Short-term traffic forecasting: Where we are and where we’re going

2. The retrieval of intra-day trend and its influence on traffic prediction

3. Non-parametric regression for space–time forecasting under missing data

4. Real-time road traffic forecasting using regime-switching space-time models and adaptive LASSO

5. An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

Cited by 27 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. Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation;Transportation Engineering;2024-12

2. In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review;Algorithms;2024-09-06

3. Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation;2024-04-17

4. Network-wide traffic state reconstruction: An integrated generative adversarial network framework with structural deep network embedding;Chaos, Solitons & Fractals;2023-09

5. Community-Based Dandelion Algorithm-Enabled Feature Selection and Broad Learning System for Traffic Flow Prediction;IEEE Transactions on Intelligent Transportation Systems;2023

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