@article{ref1,
title="Stochastic Optimization for Sustainable Traffic Signal Control",
journal="International journal of sustainable transportation",
year="2009",
author="Park, Byungkyu (Brian) and Yun, Ilsoo and Ahn, Kyoungho",
volume="3",
number="4",
pages="263-284",
abstract="The primary research focus of traffic signal control systems has been the development of traffic signal timing plans minimizing vehicular delay and stops. Very little is known if such a strategy would be optimal for a sustainable traffic signal control system minimizing emission and fuel consumption. This paper presents a development of a sustainable traffic signal control system and speed management framework consisting of a microscopic simulation model, a microscopic fuel consumption and emission model, and a genetic algorithm – based optimizer. Based on an implementation of the proposed framework on a case study network, it was found that the proposed framework was very effective in minimizing fuel consumption and emission with moderate trade-offs in delay and stops.<p />",
language="",
issn="1556-8318",
doi="10.1080/15568310802091053",
url="http://dx.doi.org/10.1080/15568310802091053"
}