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随着智能交通技术的不断发展,交通信息采集系统日渐成熟,车牌自动识别系统,车牌识别数据包含了大量的牌照信息和出行时空信息。本文通过对上海市车牌识别数据,从时间维、空间维、车辆属性维、车辆使用特征维等多个维度对车牌识别数据进行挖掘,分析路网的交通构成,反映城市机动车的使用现状。该研究对于分析城市交通出行特征具有重要的参考价值,提供了新的分析技术手段,辅助决策者合理地制定交通政策,引导交通结构和交通方式的发展。
With the continuous development of intelligent transportation technology, the traffic information collection system is maturing, the license plate automatic identification system and license plate recognition data contain a great deal of license plate information and travel time and space information. In this paper, the license plate recognition data from Shanghai, from the dimensions of time dimension, space dimension, vehicle attributes dimension, the vehicle dimension and other dimensions of the vehicle license plate recognition data mining, analysis of road network traffic composition, reflecting the status of the use of urban motor vehicles. The study has important reference value for the analysis of the characteristics of urban traffic trips and provides new analytical techniques to help decision makers reasonably formulate traffic policies and guide the development of traffic structure and modes of transportation.