To improve the accuracy of real-time public transport information release system, a collaborative prediction model was proposed based on cyber-physical systems architecture. In the model, the total bus travel time was...To improve the accuracy of real-time public transport information release system, a collaborative prediction model was proposed based on cyber-physical systems architecture. In the model, the total bus travel time was divided into three parts: running time, dwell time and intersection delay time, and the data were divided into three categories of historical data, static data and real-time data. The bus arrival time was obtained by fusion computing the real-time data in perception layer together with historical data and static data in collaborative layer. The validity of the collaborative model was verified by the data of a typical urban bus line in Shanghai, and 1538 sets of data were collected and analyzed from three different perspectives. By comparing the experimental results with the actual results, it is shown that the experimental results are with higher prediction accuracy, and the collaborative prediction model adopted is able to meet the demand for bus arrival prediction.展开更多
In this paper,5 investigations on the current states of power distribution grids in China have been introduced that cover the surveys of the practical distribution asset utilization,the simultaneity factor of feeder l...In this paper,5 investigations on the current states of power distribution grids in China have been introduced that cover the surveys of the practical distribution asset utilization,the simultaneity factor of feeder loading,the load compositions and characteristics,the urban reliability and the integration of distributed generations of renewable resources.Based on the survey results in the investigations,12 Facts are clearly presented.It shows that the challenges to modernize the distribution grids in China are to improve the asset utilization rates,the electricity efficiencies and the reliability of distribution systems,as well as to integrate increasing amount of variable distributed renewable resources.Furthermore based on the challenges,8 R&D opportunities have been identified.展开更多
基金Project(2011AA010101) supported by the National High Technology Research and Development Program of China
文摘To improve the accuracy of real-time public transport information release system, a collaborative prediction model was proposed based on cyber-physical systems architecture. In the model, the total bus travel time was divided into three parts: running time, dwell time and intersection delay time, and the data were divided into three categories of historical data, static data and real-time data. The bus arrival time was obtained by fusion computing the real-time data in perception layer together with historical data and static data in collaborative layer. The validity of the collaborative model was verified by the data of a typical urban bus line in Shanghai, and 1538 sets of data were collected and analyzed from three different perspectives. By comparing the experimental results with the actual results, it is shown that the experimental results are with higher prediction accuracy, and the collaborative prediction model adopted is able to meet the demand for bus arrival prediction.
基金supported by the Key Project of National Social Science Foundation of China(Grant No.12&ZD208)
文摘In this paper,5 investigations on the current states of power distribution grids in China have been introduced that cover the surveys of the practical distribution asset utilization,the simultaneity factor of feeder loading,the load compositions and characteristics,the urban reliability and the integration of distributed generations of renewable resources.Based on the survey results in the investigations,12 Facts are clearly presented.It shows that the challenges to modernize the distribution grids in China are to improve the asset utilization rates,the electricity efficiencies and the reliability of distribution systems,as well as to integrate increasing amount of variable distributed renewable resources.Furthermore based on the challenges,8 R&D opportunities have been identified.
