End-to-End Deep Learning Methodology for Real-Time Traffic Network Management-Reference-Cited by-同舟云学术

End-to-End Deep Learning Methodology for Real-Time Traffic Network Management

Published:2018-05-26 Issue:10 Volume:33 Page:849-863
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Hashemi Hossein¹,Abdelghany Khaled¹

Affiliation:

1. Department of Civil and Environmental Engineering; Southern Methodist University; Dallas TX USA

Publisher

Wiley

Subject

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

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mice.12376/fullpdf

Reference62 articles.

1. Feedback-coordinated ramp control of consecutive on-ramps using distributed modeling and Godunov-based satisfiable allocation;Agarwal;IEEE Transactions on Intelligent Transportation Systems,2015

2. Alexiadis , V. Chu , A. 2016 Integrated Corridor Management: Analysis, Modeling, and Simulation for the US-75 Corridor in Dallas

3. Integrated method for online calibration of real-time traffic network management systems;Anawaiseh;Transportation Research Record: Journal of the Transportation Research Board,2014

4. Proactive route guidance to avoid congestion;Angelelli;Transportation Research Part B: Methodological,2016

5. Reinforcement learning-based multi-agent system for network traffic signal control;Arel;IET Intelligent Transport Systems,2010

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