Using CNN-LSTM to predict signal phasing and timing aided by High-Resolution detector data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using CNN-LSTM to predict signal phasing and timing aided by High-Resolution detector data

Published:2022-08 Issue: Volume:141 Page:103742
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Islam Zubayer,Abdel-Aty Mohamed,Mahmoud Nada

Funder

Florida Department of Transportation

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference70 articles.

1. Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time;Asadi;IEEE Trans. Control Syst. Technol.,2011

2. Delay pattern estimation for signalized intersections using sampled travel times;Ban;Transp. Res. Record,2009

3. System optimal signal optimization formulation;Beard;Transp. Res. Record: J. Transp. Res. Board,2006

4. Real-time crash prediction on expressways using deep generative models;Cai;Transp. Res. Part C: Emerging Technol.,2020

5. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions;Castro-Neto;Expert Syst. Appl.,2009

Cited by 15 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. An Imputation-Enhanced Hybrid Deep Learning Approach for Traffic Volume Prediction in Urban Networks: A Case Study in Dresden;Data Science for Transportation;2024-09-13

2. Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning;IEEE Transactions on Intelligent Transportation Systems;2024-07

3. TensorRT Powered Model for Ultra-Fast Li-Ion Battery Capacity Prediction on Embedded Devices;Energies;2024-06-07

4. Real-time sideswipe conflict risk prediction on the expressway;Journal of Transportation Safety & Security;2024-05-31

5. Short-Term Traffic Flow Forecasting Method Based on Secondary Decomposition and Conventional Neural Network–Transformer;Sustainability;2024-05-28

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