Titlebook: Intelligent Transport Systems; 6th EAI Internationa Ana Lucia Martins,Joao C. Ferreira,Ulpan Tokkozhin Conference proceedings 2023 ICST Ins

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書目名稱Intelligent Transport Systems影響因子(影響力)




書目名稱Intelligent Transport Systems影響因子(影響力)學(xué)科排名




書目名稱Intelligent Transport Systems網(wǎng)絡(luò)公開度




書目名稱Intelligent Transport Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Transport Systems被引頻次




書目名稱Intelligent Transport Systems被引頻次學(xué)科排名




書目名稱Intelligent Transport Systems年度引用




書目名稱Intelligent Transport Systems年度引用學(xué)科排名




書目名稱Intelligent Transport Systems讀者反饋




書目名稱Intelligent Transport Systems讀者反饋學(xué)科排名

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Intelligent Transport Systems978-3-031-30855-0Series ISSN 1867-8211 Series E-ISSN 1867-822X

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https://doi.org/10.1007/978-3-031-30855-0Computer Science; Informatics; Conference Proceedings; Research; Applications

辮子帶來幫助

Vehicle Routing Problem for?an?Integrated Electric Vehicles and?Drones Systeml formulation for inserting drone sorties into an EV tour, leading to a . algorithm. The proposed method is evaluated on a set of instances involving up to 40 customers and 7 recharging nodes, with the experimental results showing the effectiveness and relevancy of E-VRPD.

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Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Studyin Santa Maria Maior, with outstanding clusters along 28-E tram and Lisbon Cruise Terminal, where mobility is high, particularly for non-roaming travelers. This paper contributes to the digital transformation of Lisbon into a smart city, by improving improved understanding of urban mobility patterns.

斜坡

Traceable Distribution of Fish Products: State of the Art of Blockchain Technology Applications to Fption in the fish and seafood SC cases, revealing the opportunities it holds in improving the levels of traceability, as well as the challenges that were identified in extant literature that need to be addressed throughout the development of the fish industry applications.

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有危險

Berth Allocation Problem in?Export Tidal Bulk Ports with?Inventory Controltrols the minimal and maximum inventory levels. A dataset of 59 instances was generated based on data obtained from a relevant bulk terminal in S?o Luís, Brazil. Through the experiment using the Gurobi solver, it is noticed that some medium-sized instances take more than 1?h to be solved.