The sound of Suzhou Pingtan,an art form which combines storytelling and ballad singing in the Suzhou dialect,swirled around a hall of the International Department of theCommunist Party of China’s Central Committee(ID...The sound of Suzhou Pingtan,an art form which combines storytelling and ballad singing in the Suzhou dialect,swirled around a hall of the International Department of theCommunist Party of China’s Central Committee(IDCPC)in Beijing on August 31.The singing enchanted the audience,including 400 visiting political party leaders and ambassadors of展开更多
With the advantage of fast calculation and map resources on cloud control system(CCS), cloud-based predictive cruise control(CPCC) for heavy trucks has great potential to improve energy efficiency, which is significan...With the advantage of fast calculation and map resources on cloud control system(CCS), cloud-based predictive cruise control(CPCC) for heavy trucks has great potential to improve energy efficiency, which is significant to achieve the goal of national carbon neutrality. However, most investigations focus on the on-board predictive cruise control(PCC) system,lack of research on CPCC architecture under CCS. Besides, the current PCC algorithms have the problems of a single control target and high computational complexity, which hinders the improvement of the control effect. In this paper, a layered architecture based on CCS is proposed to effectively address the realtime computing of CPCC system and the deployment of its algorithm on vehicle-cloud. In addition, based on the dynamic programming principle and the proposed road point segmentation method(RPSM), a PCC algorithm is designed to optimize the speed and gear of heavy trucks with slope information. Simulation results show that the CPCC system can adaptively control vehicle driving through the slope prediction, with fuel-saving rate of 6.17% in comparison with the constant cruise control. Also,compared with other similar algorithms, the PCC algorithm can make the engine operate more in the efficient zone by cooperatively optimizing the gear and speed. Moreover, the RPSM algorithm can reconfigure the road in advance, with a 91% roadpoint reduction rate, significantly reducing algorithm complexity.Therefore, this study has essential research significance for the economic driving of heavy trucks and the promotion of the CPCC system.展开更多
Creative Cities in Practice:European and Asian Perspectives Authors:Yan TANG,Klaus R.Kunzmann Year:2013Publisher:Tsinghua University Press ISBN:9787302325192(281 pages,in Chinese)The book,titled Creative Cities in Pra...Creative Cities in Practice:European and Asian Perspectives Authors:Yan TANG,Klaus R.Kunzmann Year:2013Publisher:Tsinghua University Press ISBN:9787302325192(281 pages,in Chinese)The book,titled Creative Cities in Practice:European and Asian Perspectives,by Dr.Yan TANG and Prof.Klaus R.Kunzmann,is an outstanding piece of work introducing creative industry and creative cities in a fairly comprehensive and展开更多
文摘The sound of Suzhou Pingtan,an art form which combines storytelling and ballad singing in the Suzhou dialect,swirled around a hall of the International Department of theCommunist Party of China’s Central Committee(IDCPC)in Beijing on August 31.The singing enchanted the audience,including 400 visiting political party leaders and ambassadors of
基金supported by the National Key Research and Development Program (2021YFB2501003)the Key Research and Development Program of Guangdong Province (2019B090912001)the China Postdoctoral Science Foundation (2020M680531)。
文摘With the advantage of fast calculation and map resources on cloud control system(CCS), cloud-based predictive cruise control(CPCC) for heavy trucks has great potential to improve energy efficiency, which is significant to achieve the goal of national carbon neutrality. However, most investigations focus on the on-board predictive cruise control(PCC) system,lack of research on CPCC architecture under CCS. Besides, the current PCC algorithms have the problems of a single control target and high computational complexity, which hinders the improvement of the control effect. In this paper, a layered architecture based on CCS is proposed to effectively address the realtime computing of CPCC system and the deployment of its algorithm on vehicle-cloud. In addition, based on the dynamic programming principle and the proposed road point segmentation method(RPSM), a PCC algorithm is designed to optimize the speed and gear of heavy trucks with slope information. Simulation results show that the CPCC system can adaptively control vehicle driving through the slope prediction, with fuel-saving rate of 6.17% in comparison with the constant cruise control. Also,compared with other similar algorithms, the PCC algorithm can make the engine operate more in the efficient zone by cooperatively optimizing the gear and speed. Moreover, the RPSM algorithm can reconfigure the road in advance, with a 91% roadpoint reduction rate, significantly reducing algorithm complexity.Therefore, this study has essential research significance for the economic driving of heavy trucks and the promotion of the CPCC system.
文摘Creative Cities in Practice:European and Asian Perspectives Authors:Yan TANG,Klaus R.Kunzmann Year:2013Publisher:Tsinghua University Press ISBN:9787302325192(281 pages,in Chinese)The book,titled Creative Cities in Practice:European and Asian Perspectives,by Dr.Yan TANG and Prof.Klaus R.Kunzmann,is an outstanding piece of work introducing creative industry and creative cities in a fairly comprehensive and
