| 人工神经网络及粒子群优化算法在跟驰模型中的应用 |
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| 引用本文： | 周立军,王殿海,李卫青.人工神经网络及粒子群优化算法在跟驰模型中的应用[J].吉林大学学报(工学版),2009,39(4):896-899. |
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| 作者姓名： | 周立军 王殿海 李卫青 |
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| 作者单位： | 1. 吉林大学,交通学院,长春,130022
2. 天津大学,理学院,天津,300072 |
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| 基金项目： | 国家自然科学基金项目(50338030/E0809) |
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| 摘 要： | 在车辆跟驰现象中,驾驶员-车辆系统可视为一个非线性的动态系统,而人工神经网络(ANN)是开发非线性系统模型的有效工具,采用ANN技术建立了车辆跟驰模型,开发了基于粒子群优化(PSO)算法的ANN训练算法。测试结果表明,基于神经网络的跟驰模型比传统模型具有更强的鲁棒性,基于PSO算法的ANN训练方法能够避免陷入局部最优。
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| 关 键 词： | 交通运输系统工程 跟驰模型 人工神经网络 粒子群优化算法 |
| 收稿时间： | 2007-10-28 |
| 修稿时间： | 2008-02-21 |
Application of artificial neural network and particle swarm optimization in car-following model |
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| ZHOU Li-jun,WANG Dian-hai,LI Wei-qing.Application of artificial neural network and particle swarm optimization in car-following model[J].Journal of Jilin University:Eng and Technol Ed,2009,39(4):896-899. |
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| Authors: | ZHOU Li-jun WANG Dian-hai LI Wei-qing |
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| Affiliation: | 1.College of Transportation;Jilin University;Changchun 130022;China;2.School of Science;Tianjin University;Tianjin 300072;China |
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| Abstract: | The driver-vehicle system in Car-following process is a non-linear dynamic system,and the artificial neural network(ANN) is an effective tool to develop a model for the non-linear system.A car-following model was established based on the ANN to simulate the traffic phenomena as real as possible.A training algorithm for the ANN in this model was also proposed on the basis of the particle swarm optimization(PSO) algorithm.The test results show that the ANN based model is more robust than traditional models an... |
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| Keywords: | engineering of communications and transportation system car-following model artificial neural network(ANN) particle swarm optimization(PSO) |
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