Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms-Reference-Cited by-同舟云学术

Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms

Published:2002-01 Issue:1 Volume:7 Page:3-41
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/713930748

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 42 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. Greenshields Model-Based Fuzzy System for Predicting Traffic Congestion on Highways;IEEE Access;2024

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

3. 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

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

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