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基于大数据分析的智能交通系统 被引量:3

Intelligent transportation system based on big data analysis
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摘要 大数据发展至今,已为众人所知,被众多行业和企业所用。尤其在天文、气象、医疗健康等领域已取得较好的应用价值。我国是汽车大国,快速发展的汽车行业也随之带来了城市交通拥堵和污染严重等诸多问题。如何将汽车与大数据有效的融合,通过大数据为政府决策提供数据支撑,为智能交通做贡献。 Today, big data has been known for everybody, and is used by many industries and enterprises. Big data have got to a good application value in the astronomical, meteorological, health care and other fields. China is a major car producer, and the rapid development of the auto industry has brought many problems in city traffic congestion and pollution. How to integrate the cars and big data effectively, how to use the big data to provide data support for the government, and how to makes the contribution for the intelligent transportation.
作者 李晓
出处 《电子测试》 2014年第12期67-69,共3页 Electronic Test
关键词 大数据 智能交通 隐马尔科夫 Big data Intelligent transportation Hidden Markov
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  • 1Smith B L,Demetsky M J. Traffic flow forecasting: Compar- ison of modeling approaches[J]. Journal of Transportation Engineering, 1997, 123(4)I 261-266.
  • 2Smith B L,Willians B M,Oswald R K. Comparison of para- metric and nonparametrie models for traffic flow forecasting [J]. Transportation Research: Part C, 2002, 10: 303-321.
  • 3Clark Stephen. Traffic prediction using multivariate nonpara- metric regression[J]. Journal of Transportation Engineering, 2003, 129(2): 161-165.
  • 4Shimizu H,Yamagami K,Watansbe E. Application of State Estimation Algorithms to Hourly Traffic Volume System. Proceedings of Second World Congress on ITS ,Yokohama,1995:72-77.
  • 5Stephanedes Y J,Kwon E. Adaptive Deman-deversion Prediction for Integrated Control of Freeway Corridors. Transportation Research 1C,1993:23-42.
  • 6Cremer M,Keller H. A New Class of Dynamic Methods for the Identification of Origin-destination Flows. Transportation Research 21B,1987:17-32.
  • 7Luk J Y K. Modelling and Monitoring the Performance of Urban Traffic Control Network. Australian Road Research Board SR43,Victoria,Australia,1989.
  • 8Hunt P G,Robertson D I,Brethton R D,et al. SCOOT - a Traffic Responsive Method of Coordinating Signals. TRRL LR1014,Transport and Road Research Laboratory,Crowthorne,UK,1981.
  • 9Dougherty M S,Kirby H R,Boyee D. Using Neural Networks to Recognize,Predict and Model Traffic. Artificial Intelligence Application to Traffic Engnieering,1994: 235-250.
  • 10Ledoux C. An Urban Traffic Flow Model Intergrating Neural Network. Transportation Research 5C,1997:287-300.

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