Toward an Autonomic Architecture for Real-Time Traffic Network Management-Reference-Cited by-同舟云学术

Toward an Autonomic Architecture for Real-Time Traffic Network Management

Published:2012-03-12 Issue:2 Volume:16 Page:45-59
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Etemadnia Hamideh¹,Abdelghany Khaled¹,Hariri Salim²

Affiliation:

1. a Department of Civil and Environmental Engineering, Bobby B. Lyle School of Engineering , Southern Methodist University , Dallas , Texas , USA

2. b Department of Electrical and Computer Engineering , University of Arizona , Tucson , Arizona , USA

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/10.1080/15472450.2012.671706

Reference51 articles.

1. Dynamic Trip Assignment-Simulation Model for Intermodal Transportation Networks

2. Real-Time Dynamic Traffic Assignment and Path-Based Signal Coordination; Application to Network Traffic Management

3. Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin–Destination Flows

4. Development of a Route Guidance Generation System for Real-Time Application

Cited by 6 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. Modeling Framework to Identify an Affected Area for Developing Traffic Management Strategies;Journal of Transportation Engineering, Part A: Systems;2018-10

2. Real-time traffic network state estimation and prediction with decision support capabilities: Application to integrated corridor management;Transportation Research Part C: Emerging Technologies;2016-12

3. Autonomic Systems Design for ITS Applications: Modelling and Route Guidance;Autonomic Road Transport Support Systems;2016

4. Autonomic Road Transport Support Systems: An Introduction;Autonomic Road Transport Support Systems;2016

5. Real-Time Traffic Network State Prediction for Proactive Traffic Management;Transportation Research Record: Journal of the Transportation Research Board;2015-01