毕业论文外文译-智能交通灯控制.doc

本科生毕业设计（论文） 外文文献翻译 毕业设计题目： 交通灯智能控制系统 学 院： 信息科学与工程学院 专业班级： 学生姓名： 指导教师： 外文原文 Intelligent Traffic Light Control Marco Wiering, Jelle van Veenen, Jilles Vreeken, and Arne Koopman Intelligent Systems Group Institute of Information and Computing Sciences Utrecht University Padualaan 14, 3508TB Utrecht, The Netherlands email: marco@cs.uu.nl July 9, 2004 Abstract Vehicular travel is increasing throughout the world, particularly in large urban areas.Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. In this paper we study the simulation and optimization of traffic light controllers in a city and present an adaptive optimization algorithm based on reinforcement learning. We have implemented a traffic light simulator, Green Light District, that allows us to experiment with different infrastructures and to compare different traffic light controllers. Experimental results indicate that our adaptive traffic light controllers outperform other fixed controllers on all studied infrastructures. Keywords: Intelligent Traffic Light Control, Reinforcement Learning, Multi-Agent Systems (MAS), Smart Infrastructures, Transportation Research 1 Introduction Transportation research has the goal to optimize transportation flow of people and goods.As the number of road users constantly increases, and resources provided by current infrastructures are limited, intelligent control of traffic will become a very important issue in the future. However, some limitations to the usage of intelligent traffic control exist. Avoiding traffic jams for example is thought to be beneficial to both environment and economy, but improved traffic-flow may also lead to an increase in demand [Levinson, 2003]. There are several models for traffic simulation. In our research we focus on microscopic models that model the behavior of individual vehicles, and t