| 基于动态贝叶斯网络的交通灯自主智能决策 |
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| 引用本文： | 陈海洋,聂弘颖,潘金波.基于动态贝叶斯网络的交通灯自主智能决策[J].西安工程科技学院学报,2014(4):474-479. |
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| 作者姓名： | 陈海洋 聂弘颖 潘金波 |
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| 作者单位： | 西安工程大学电子信息学院,陕西西安,710048 |
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| 基金项目： | 陕西省教育厅科学研究计划项目(2013JK1110)；西安工程大学博士科研启动基金资助项目(BS1109)；西安工程大学创新创业项目 |
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| 摘 要： | 现有交通灯大都采用定时控制，容易造成时间上的浪费甚至是交通堵塞，通过引入动态贝叶斯网络DBN ，分析影响交通灯时间的因素，建立具有星型结构的交通灯自主智能决策模型。该模型能够依据十字路口车辆的动态信息，实时决策交通灯的时间，并通过仿真验证了该模型能够自主决策出最佳的交通灯时间，实现了交通管理的智能化。
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| 关 键 词： | 交通灯 交通堵塞 智能决策 动态贝叶斯网络(DBN) |
Traffic lights intelligent decision independently based on dynamic bayesian network |
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| CHEN Hai-yang,NIE Hong-ying,PAN Jin-bo.Traffic lights intelligent decision independently based on dynamic bayesian network[J].Journal of Xi an University of Engineering Science and Technology,2014(4):474-479. |
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| Authors: | CHEN Hai-yang NIE Hong-ying PAN Jin-bo |
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| Institution: | (School of Electronics and Information,, Xi＇an Polytechnic University, Xi＇an 710048, China) |
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| Abstract: | Existing traffic lights are mostly using the timing control ,easily lead to the waste of time and e-ven traffic jams ,for this a traffic light with star structure independent intelligent decision model is pres-ented .By introducing dynamic Bayesian network （DBN） ,analyzing the main factors influencing the traf-fic light time ,traffic lights with star structure decision model is established ,and the model can make deci-sion real-time basis for crossing traffic lights according to the vehicle′s dynamic information .The simula-tion verifies the model can decide the best traffic time for the intersection ,and realize the intelligent traf-fic management . |
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| Keywords: | traffic lights traffic jams intelligent decision dynamic Bayesiannetwork(DBN) |
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