详细信息
Review and synthesis of Big Data analytics and computing for smart sustainable cities ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Review and synthesis of Big Data analytics and computing for smart sustainable cities
作者:Chang, Jinping[1];Nimer Kadry, Seifedine[2];Krishnamoorthy, Sujatha[3]
第一作者:常金平
通讯作者:Chang, JP[1]
机构:[1]Beijing Union Univ, Coll Management, Dept E Commerce, Beijing 100101, Peoples R China;[2]Beirut Arab Univ, Beirut 11072809, Lebanon;[3]Wenzhou Kean Univ, Wenzhou 325027, Zhejiang, Peoples R China
第一机构:北京联合大学管理学院
通讯机构:[1]corresponding author), Beijing Union Univ, Coll Management, Dept E Commerce, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;
年份:2020
卷号:14
期号:11
起止页码:1363-1370
外文期刊名:IET INTELLIGENT TRANSPORT SYSTEMS
收录:;EI(收录号:20204609477916);Scopus(收录号:2-s2.0-85095743379);WOS:【SCI-EXPANDED(收录号:WOS:000591879700003)】;
语种:英文
外文关键词:town and country planning; road traffic; data analysis; Big Data; Internet of Things; sustainable development; smart cities; traffic engineering computing; Big Data analytics; smart sustainable cities; urban areas; data analysis; vitality investment funds; smart city usage; IoT; sustainable management analysis; Internet of Things; adaptive heuristic mathematical model; traffic congestion; traffic police; carbon outflows
摘要:There has been a great deal of movement around the idea of Smart City for quite a while. Urban areas are being distinguished as future shrewd urban areas. Hypothetically, at any rate, brilliant urban areas can on a very basic level transform ourselves at numerous levels, the execution of the smart city idea around the globe has been sporadic, the best-case scenario because of a few reasons. Whatever the stage the smart city usage is at internationally, big data, information and the Internet of things (IoT) can drive the execution. Huge information and the IoT are getting down to business with other programming and equipment to lead the vision of a smart city to realisation. Big information can help diminish outflows and cut down contamination. In this study, the adaptive heuristic mathematical model based on traffic congestion has been proposed. Sensors fitted in the streets will gauge the complete traffic at various occasions of multi-day and the all-out emissions. The information can be sent to a focal unit which will organise with the traffic police using sustainable management techniques. Traffic can be overseen or redirected along different, less blocked territories to lessen carbon outflows in a specific territory. Sustainable management analysis has been done based on numerical simulations.
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