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Journal of Intelligent and Connected Vehicles 2023年第3期6卷 149-160页

作者： Yuhao Wang Ivan Wang-Hei Ho Yuhong Wang Department of Electrical and Electronic Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina otto poon charitable foundation smart cities research institute The Hong Kong Polytechnic UniversityHong Kong SARChina Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina

The intelligent transportation system(ITS)is committed to ensuring safe and effective next-generation traffic throughout a ***,such efficient operation on urban traffic networks needs the support of big traffic data,especially Turning Movement Counts(TMC)at ***,TMC data are more challenging to collect due to labor cost and accuracy *** this paper,we leverage the capabilities of Unmanned Aerial Vehicles(UAV)to collect real-time TMC data in a cost-efficient *** proposed a real-time TMC data collection framework based on a live video *** vehicle tracking capability is boosted by multiple object tracking based on tracking by *** addition,a challenging case study was conducted,and our results demonstrate the feasibility and robustness of the proposed TMC data collection ***,with a GTX 1650 graphics card,about 10 FPS can be achieved in real-time for the TMC data *** overall accuracy is 91.93%,and the best case is over 98%*** the context of miscounting,the major reason is due to ID switching caused by background *** proposed framework is expected to provide real-time data for traffic capacity analysis and advanced traffic simulation such as digital twins.

关键词： turning movement counts unmanned aerial vehicles multi objects tracking real-time

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Navigating Chinese cities to achieve sustainable development goals by 2030

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The Innovation 2022年第5期3卷 114-121页

作者： Huijuan Xiao Zhenci Xu Jingzheng Ren Ya Zhou Ruojue Lin Sheng Bao Long Zhang Shengfang Lu Carman K.M.Lee Jianguo Liu Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Department of Geography The University of Hong KongHong Kong SARChina Peng Cheng Laboratory Shenzhen 518000China Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education School of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China otto poon C.F.smart cities research institute Department of Land Surveying and Geo-InformaticsThe Hong Kong Polytechnic UniversityHong Kong SARChina Center for Systems Integration and Sustainability Department of Fisheries and WildlifeMichigan State UniversityEast LansingMI 48824USA Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China

Achieving the 17 United Nations sustainable development goals(SDGs)in China largely depends on the transition of cities toward sustainable ***,significant knowledge gaps exist in evaluating the SDG index at the city scale and in understanding how to simulate pathways to achieve the 17 SDGs for Chinese cities by *** study aimed to quantify the SDG index of 285 Chinese cities and developed a forecasting model to simulate the performance of each SDG in each city until 2030 using varied *** results indicated that although the SDG index in Chinese cities increased by 33.97%during 2005–2016,Chinese cities,which continued their past paths,achieved an average of only five SDGs by *** promote the joint achievement of all SDGs,we designed different paths for all SDGs of each of the 285 cities and simulated their SDG index until *** the scenarios,216 Chinese cities(75.79%)could achieve 9–13 more SDGs in 2030 and the overall SDG index can improve from 74.57 in 2030 to 97.49(target score 100)by adopting more intensive path *** lastly determined a cost-effective path for each SDG of each city to promote joint achievement of all SDGs by *** proposed simulation model and cost-effective path serve as a foundation for other countries to simulate SDG progress and develop pathways for achieving SDGs in the future.

关键词： sustainable continued goals

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