人工智能技术在城市智能交通系统中的应用  

Artificial Intelligence Techniques-based Intelligent Transportation Systems

作　　者：杜明[1] DU Ming(School of Education Intelligent Technology,Jiangsu Normal University,Xuzhou 221116)

机构地区：[1]江苏师范大学智慧教育学院,徐州221116

出　　处：《科技促进发展》2018年第7期617-622,共6页Science & Technology for Development

基　　金：徐州市科技局徐州市科技情报研究计划课题(编号:XKQ2017006):人工智能技术对我市产业发展的策略研究;负责人:杜明

摘　　要：目前,多类基于人工智能技术应用于交通环境的不同领域。为此,对应用于智能交通系统(Intelligent Transportation Systems,ITS)的多类人工智能(Artificial Intelligence,AI)技术进行分析。具体而言,将AI技术在智能交通系统的应用划分三个主要领域:1)车辆控制;2)交通控制和预测;3)道路安全和事故预测。同时,考虑四项AI技术:人工神经网络(Artificial Neural Networks,ANNs)、遗传算法(Genetic Algorithms,GAs)、模糊逻辑(Fuzzy Logic,FL)、专家系统(Expert Systems,ESs)。研究分析表明,不同的AI技术的结合,能够有效地管理、分析交通领域的海量数据。Several Artificial Intelligence-based techniques have been applied to different areas related to the transportation environment. In this paper, we present a study of the diverse Artificial Intelligence（AI） techniques which have been implemented to improve Intelligent Transportation Systems（ITS）. In particular, we grouped them into three main areas depending on the main field where they were applied： 1）Vehicle control, 2） Traffic control and prediction, as well as 3） Road safety and accident prediction. At the same time, we grouped all the proposals into four techniques： Artifi cial Neural Networks（ANNs）, Genetic Algorithms（GAs）, Fuzzy Logic（FL）, and Expert Systems（ESs）. The results of this study reveal that the combination of different AI techniques seems to be very promising, especially to manage and analyze the massive amount of data generated in transportation.

关 键 词：智能交通系统 人工智能 人工神经网络 遗传算法 模糊逻辑 专家系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]