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书目名称Green Connected Automated Transportation and Safety影响因子(影响力)




书目名称Green Connected Automated Transportation and Safety影响因子(影响力)学科排名




书目名称Green Connected Automated Transportation and Safety网络公开度




书目名称Green Connected Automated Transportation and Safety网络公开度学科排名




书目名称Green Connected Automated Transportation and Safety被引频次




书目名称Green Connected Automated Transportation and Safety被引频次学科排名




书目名称Green Connected Automated Transportation and Safety年度引用




书目名称Green Connected Automated Transportation and Safety年度引用学科排名




书目名称Green Connected Automated Transportation and Safety读者反馈




书目名称Green Connected Automated Transportation and Safety读者反馈学科排名

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Phenothiazines

Birgit Dörschel,Lieselott Herforthcould be accessed. A frequent-patterns-mining method was proposed, and a case study was given in Shenzhen, China. Specifically, commuters were firstly identified by using smartcard data based on their bus-riding regularity on workdays. Then, frequent correlations between bus routes/metro lines used

Polydipsia

Perturbation Theory for Reactor Neutronics,s rely heavily on bus services as a feeder and distributor to rail transit services. Given the wide application of automatic fare collection systems using smart card in Chinese transit systems, smart card data with boarding and alighting information has become a new source of data to understand tran

乞讨

Perturbation Theory for Reactor Neutronics,em was established by using AMESim. The accuracy of the simulation model was evaluated with the real vehicle tests. Based on the established model, the braking efficiency of the vehicles were analyzed under 15 different working conditions with different adhesion coefficient road surfces at high spee

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Marie-Dominique Vignon-Pennamen M.D.sportation is an important solution. As an important carrier of intelligent transportation, urban road has gradually become the focus of urban development. By studying the development process of urban road intelligence, summarizing the development stages and achievements at home and abroad, combinin

Alienated

Chiranjibe Jana,Madhumangal Palression-based methods to explore factors contributing to RLR. However, it is well-known that statistical methods are based on predefined associations among variables and are unable to capture latent heterogeneity. This study aims to classify and predict RLR using spatial analysis and machine learnin