交通节能减排智能化分析技术--北京市实践

基于大数据的智能化监测分析技术为消除城市交通在节能减排领域决策判断的模糊性、解决交通节能减排问题提供机遇。通过分析交通节能减排宏、中、微观工作对智能化监测分析的需求，总结现有统计监测体系存在的问题。提出车辆能耗排放多维感知、高分辨率仿真及多尺度评估、海量数据分析挖掘等交通节能减排智能化分析技术。具体阐述北京市在交通节能减排统计监测体系建设、交通能耗与排放清单编制、交通节能减排规划和政策研究、驾驶行为矫正、节能减排标准研究制定等方面的实践应用效果。最后指出，交通节能减排智能监测体系应构建本地化的模型及关键参数，同时需要法律法规和体制机制的协同保障。

Smart Technology on Energy Conservation and Emission Reduction in Transportation System:A Case Study of Beijing

A big data mining-based intelligent technology of monitoring and analysis technology offers an opportunity to eliminate the ambiguity in the decision making process as well as solving the issues of ener-gy conservation and emission reduction. By specifying the demand on intelligent monitoring technology at macro, meso, and micro-scale, this paper summarizes the defects of the existing technology and system, and a couple of new technologies, namely, Multidimensional Awareness, Simulation\Evaluation, and Data Mining. The paper illustrates the efforts of Beijing in system establishment of monitoring system for trans-portation energy conservation and emission reduction, development of transportation energy consumption and pollution emission inventory, planning and policy study, driving behavior correction, development of energy conservation and emission reduction standards. Finally, the paper urges to develop model and key parameters of intelligent monitoring system for transportation energy conservation and emission reduction that tailor to different cities. Registration and mechanism support are also necessary.