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Anqing Wang, Longwei Li, Haoliang Wang, Bing Han and Zhouhua Peng
In this paper, a swarm trajectory-planning method is proposed for multiple autonomous surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based on the point cloud information of the surrounding environment obtained from loc...
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Pierstefano Bellani, Andrea Picardi, Federica Caruso, Flora Gaetani, Fausto Brevi, Venanzio Arquilla and Giandomenico Caruso
With the rapid advancement of autonomous vehicles, a transformative transportation paradigm is emerging in the automotive industry, necessitating a re-evaluation of how users engage with and utilize these evolving settings. This research paper introduces...
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Tianlei Wang, Fei Ding and Zhenxing Sun
Human intelligence has the advantage for making high-level decisions in the remote control of underwater vehicles, while autonomous control is superior for accurate and fast close-range pose adjustment. Combining the advantages of both remote and autonom...
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Wellington Lobato, Paulo Mendes, Denis Rosário, Eduardo Cerqueira and Leandro A. Villas
Due to poor local range of the perception and object recognition mechanisms used by autonomous vehicles, incorrect decisions can be made, which can jeopardize a fully autonomous operation. A connected and autonomous vehicle should be able to combine its ...
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Gheorghe Daniel Voinea, Florin Gîrbacia, Cristian Cezar Postelnicu, Mihai Duguleana, Csaba Antonya, Adrian Soica and Ruxandra-Cristina Stanescu
In this paper, we studied the effects of using Microsoft HoloLens 2 in a Metaverse-based collaborative mixed reality environment on the driver?s social presence while using an autonomous driving system. In (semi-) autonomous vehicles the driver is the sy...
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Krishna Murthy Gurumurthy, Joshua Auld, Kara Kockelman
Pág. 933 - 948
With autonomous vehicles (AVs) still in the testing phase, researchers and planners must resort to simulation techniques to explore possible futures regarding shared and automated mobility. An agent-based discrete-event transport simulator, POLARIS, is u...
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Joerg Schweizer, Cristian Poliziani, Federico Rupi, Davide Morgano and Mattia Magi
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the eval...
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Shaopeng Zhong, Rong Cheng, Xufeng Li, Zhong Wang, Yu Jiang
Pág. 273 - 297
Most of the existing research on shared autonomous vehicles (SAVs) and road congestion pricing have studied the short-term impact on traffic flow. These types of studies focused on the influences on mobility and ignored the long-term impacts on regional ...
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Yonah Freemark, Anne Hudson and Jinhua Zhao
Local governments play an important role in structuring urban transportation through street design, zoning, and shared jurisdiction over ride-hailing, transit, and road pricing. While cities can harness these powers to steer planning outcomes, there is l...
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Tyler Wellik, Kara Kockelman
Pág. 185 - 205
This paper used an implementation of the land-use model SILO in Austin, Texas, over a 27-year period with an aim to understand the impacts of the full adoption of self-driving vehicles on the region?s residential land use. SILO was integrated with MATSim...
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