Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms

Author:

Abdulhai Baher1,Porwal Himanshu2,Recker Will2

Affiliation:

1. a Intelligent Transportation Systems Centre, Department of Civil Engineering , University of Toronto , Toronto, Ontario, Canada

2. b Institute of Transportation Studies, Department of Civil and Environmental Engineering , University of California , Irvine, California

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Reference29 articles.

1. Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network

2. Also in Journal of the Transportation Research Record, TRR #1678, 1999c;Abdulhai B.,1998

3. Abdulhai , B. 1996. “A Neuro-Genetic-Based Universally Transferable Freeway Incident Detection Framework,”. University of California Irvine. Ph.D. Diss.

4. Beale and Jackson . 1992. “Neural Computing: An Introduction,”. Bristol MA and Philadelphia, PA: Institute of Physics Publishing.

Cited by 41 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. GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting;Mathematics;2023-12-27

2. A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment;Journal of Intelligent Transportation Systems;2023-01-03

3. Optimized Deep Neural Network Based Intelligent Decision Support System for Traffic State Prediction;International Journal of Intelligent Transportation Systems Research;2022-12-03

4. A traffic flow forecasting method based on the GA-SVR;Journal of High Speed Networks;2022-05-16

5. Traffic Prediction for Intelligent Transportation System Using Machine Learning;2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2022-04-21

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