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Fausto Ferreira, Juraj Obradovic, Ðula Nad, Ivan Loncar, Luka Mandic, Igor Kvasic, Natko Kra?evac and Nikola Mi?kovic
Marine robotics is a complex field with a potentially high demanding logistics and high deployment cost. This is a barrier to many research groups. On the other hand, some research groups have substantial equipment and infrastructure that are typically u...
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Felix Czarnetzki
Pág. 319?334
Carsharing is considered an effective tool for reducing car ownership, especially in high-density urban areas. Dedicated on-street carsharing parking spaces (CPS) are a promising but under-researched approach to increase the attractiveness and impact of ...
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Yushan Zhang, Dena Kasraian, Pieter van Wesemael
Pág. 293?317
Recent innovations in business models and technology have brought out new mobility systems, including shared and electric micro-mobility. A rapidly expanding strand of literature mirrors the micro-mobility?s exponential growth and popularity. While many ...
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Nuwan Weerasinghe, Muhammad Arslan Usman, Chaminda Hewage, Eckhard Pfluegel and Christos Politis
Implementing 5G-enabled Vehicle-to-Everything (V2X) intelligent transportation systems presents a promising opportunity to enhance road safety and traffic flow while facilitating the integration of artificial intelligence (AI) based solutions. Yet, secur...
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Weiwei Jiang, Jiayun Luo, Miao He and Weixi Gu
Traffic forecasting has been regarded as the basis for many intelligent transportation system (ITS) applications, including but not limited to trip planning, road traffic control, and vehicle routing. Various forecasting methods have been proposed in the...
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Guwon Yoon, Seunghwan Kim, Haneul Shin, Keonhee Cho, Hyeonwoo Jang, Tacklim Lee, Myeong-in Choi, Byeongkwan Kang, Sangmin Park, Sanghoon Lee, Junhyun Park, Hyeyoon Jung, Doron Shmilovitz and Sehyun Park
Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based predi...
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Ali Pashazadeh, Giovanni Nardini and Giovanni Stea
In recent years, the need for computation-intensive applications in mobile networks requiring more storage, powerful processors, and real-time responses has risen substantially. Vehicular networks play an important role in this ecosystem, as they must su...
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Angelo Borneo, Luca Zerbato, Federico Miretti, Antonio Tota, Enrico Galvagno and Daniela Anna Misul
In recent decades, the automotive industry has moved towards the development of advanced driver assistance systems to enhance the comfort, safety, and energy saving of road vehicles. The increasing connection and communication between vehicles (V2V) and ...
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Jun Wu, Xi Wang, Limin Huang, Ziyu Wang, Da Wan and Pengbo Li
With the extensive application of data analysis in various parts of the landscape design process, Building Information Modeling (BIM), City Information Modeling (CIM), and Landscape Information Modeling (LIM) all aim to achieve key data sharing and colla...
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Honami Tsushima, Takafumi Matsuura and Tohru Ikeguchi
We have already proposed a multiple-vehicle bike sharing system routing problem (mBSSRP) to adjust the number of bicycles at each port using multiple vehicles in short time. However, there are many strict constraints in the mBSSRP, thus it is difficult t...
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