Traffic Prediction and Management via RBF Neural Nets and Semantic Control-Reference-Cited by-同舟云学术

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Traffic Prediction and Management via RBF Neural Nets and Semantic Control

Published:1998-09 Issue:5 Volume:13 Page:315-327
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Comp-aided Civil Eng

Author:

Amin S. Massoud,Rodin E. Y.,Liu A-P.,Rink K.,Garcia-Ortiz A.

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Cited by 21 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. Short-Term Traffic Speed Prediction for Multiple Road Segments;KSCE Journal of Civil Engineering;2023-05-29

2. Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System;Sensors;2021-11-19

3. Migration of Artificial Neural Networks to Smartphones;Computational Science and Its Applications – ICCSA 2020;2020

4. Survey of neural network‐based models for short‐term traffic state prediction;WIREs Data Mining and Knowledge Discovery;2018-09-19

5. Efficient goods inspection demand at ports: a comparative forecasting approach;International Transactions in Operational Research;2017-03

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