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發(fā)表于 2025-3-21 16:48:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Green Connected Automated Transportation and Safety
編輯Wuhong Wang,Yanyan Chen,Xiaobei Jiang
視頻videohttp://file.papertrans.cn/389/388387/388387.mp4
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: ;
出版日期Conference proceedings 2022
版次1
doihttps://doi.org/10.1007/978-981-16-5429-9
isbn_softcover978-981-16-5431-2
isbn_ebook978-981-16-5429-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
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發(fā)表于 2025-3-21 20:59:32 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:11:40 | 只看該作者
Birgit D?rschel,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
地板
發(fā)表于 2025-3-22 06:18:36 | 只看該作者
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
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發(fā)表于 2025-3-22 08:59:50 | 只看該作者
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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發(fā)表于 2025-3-22 15:55:36 | 只看該作者
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發(fā)表于 2025-3-22 23:14:57 | 只看該作者
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發(fā)表于 2025-3-23 05:24:28 | 只看該作者
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
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發(fā)表于 2025-3-23 08:48:17 | 只看該作者
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
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