城市交通监控的主管代理

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-06-06 DOI:10.1109/COGSIMA.2013.6523842

Guilherme Iscaro, G. Nakamiti

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引用次数: 11

摘要

本文提出了一种城市交通管理监控系统，旨在解决大城市车辆排队问题。为了实现这一目标，该系统使用模糊集来检测交通灯是否有问题，使用基于案例的推理来匹配当前交通状况和以前的交通状况，并使用遗传算法来生成新的交通灯程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A supervisor agent for urban traffic monitoring

This paper presents a supervisor system for urban traffic management, which aims to reduce cars' queues in large cities. To achieve such objective this system uses fuzzy sets to detect if a traffic-light is in trouble, case-based reasoning to match the current traffic situation with previous ones, and genetic algorithms to generate new programs for traffic-lights.

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2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)

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