基于神经网络的模糊推理车辆跟驰模型

英文篇名：Fuzzy Inference Car-following Model Based on Neural Network
中文刊名：交通与计算机
英文刊名：Computer and Communications
作者：王浩
英文作者：Wang Hao
中文关键词：微观仿真 ; 跟驰模型 ; 神经网络 ; 模糊推理
英文关键词：microscopic simulation ; car-following model ; neural network ; fuzzy inference
出版日期：2004-02-29
机构：天津大学天津300072
年：2004
期：01
出版单位：交通与计算机

摘要

根据BP神经网络自学习的特点 ,通过训练使模糊变量和隶属函数隐含在网络内部 ,并用模糊逻辑推理模拟驾驶员对车辆进行控制的过程 ,可以使模型更接近于真实的跟驰行为 ,最后用该模型进行了仿真 ,证明其可行性
Car-following model is a basic model in traffic microscopic simulation and car-following behavior is one of the complex tasks of driving. It is hard to describe drivers behavior with precise algorithm because of the fuzzy and indetermination character and the circumstance factors which exist during the driving. In this paper,a car-following model is developed, which integrates the self-learning character of the neural network and uses the fuzzy inference theory to simulate the driver to control the vehicle. The simulation result shows the feasibility of the model.

引文

1　王文清,王武宏,钟永刚,等.基于模糊推理的跟驰安全距离控制算法及实现.交通运输工程学报,2003,3(1):72～75
    2　DuTimonChihTing,WolfePhilipM .Implementationoffuzzylogicsystemsandneuralnetworksinindustry,ComputerinIndustry,1997(3):261～272
    3　汪培庄.模糊集合论及其应用.上海:上海科学技术出版社,1982.160～204
    4　冯德益,楼世博模糊数学方法与应用.北京:地震出版社,1983.116～140
    5　郭嗣琮,陈刚信息科学中的软件计算方法沈阳:东北大学出版社,2001.150～263
    6　贾洪飞,陈良,王建春.应用五轮仪采集车辆跟驰过程描述参数.山东工程学报,2002,16(3):33～36