A multi-objective interactive system for adaptive traffic control-Reference-Cited by-同舟云学术

A multi-objective interactive system for adaptive traffic control

Published:2015-07 Issue:2 Volume:244 Page:601-610
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Dujardin Yann,Vanderpooten Daniel,Boillot Florence

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference32 articles.

1. The real-time urban traffic control system CRONOS: Algorithm and experiment;Boillot;Transportation Research,2006

2. Boumghar, S. (2000). Nouvelle approche de l’optimisation en temps réel des feux d’un carrefour complexe isolé par la programmation linéaire mixte en nombres entiers. (Ph.D. thesis). Lamsade, Université Paris Dauphine, Paris, France.

3. SCOOT MC3 and current development;Bretherton,2007

4. Recent enhancements to SCOOT – SCOOT version 2.4;Bretherton,1990

5. Adaptive traffic signal control using approximate dynamic programming;Cai;Transportation Research,2009

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