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Juyao Wei, Zhenggang Lu, Zheng Yin and Zhipeng Jing
This paper presents a novel data-driven multiagent reinforcement learning (MARL) controller for enhancing the running stability of independently rotating wheels (IRW) and reducing wheel?rail wear. We base our active guidance controller on the multiagent ...
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Ngoc An Nguyen, Joerg Schweizer, Federico Rupi, Sofia Palese and Leonardo Posati
The present study contributes to narrowing down the research gap in modeling individual door-to-door trips in a superblock scenario and in evaluating the respective impacts in terms of travel times, modal shifts, traffic performance, and environmental be...
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Ryszard Dindorf
This article presents the conceptual design, operation principle, dynamic modeling, and simulation results of a discrete incremental hydraulic positioning system (DIHPS) intended for use in high-precision, heavy-load industrial automation solutions. An o...
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Gyuha Han, Da-Vin Ahn, Doyeop Kwon, Heung-Sub Kim, Young-Jun Park and Jin Woong Lee
Verification of the system is essential during the development of a tractor; however, there are cost and time limitations when verification is performed on an actual tractor. To solve this problem, we developed a tractor model for real-time simulation to...
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Shubhankar Sengupta, Dmitry V. Kovalevsky, Laurens M. Bouwer and Jürgen Scheffran
Coastal flood risk and sea-level rise require decisions on investment in coastal protection and, in some cases, the relocation of urban areas. Models that formalize the relations between flooding costs, protective investments, and relocation can improve ...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Dominik Ziemke, Nico Kuehnel, Carlos Llorca, Rolf Moeckel, Kai Nagel
Pág. 497 - 526
Integrated land-use transport models are often accused of being too complex, too coarse or too slow. We tightly couple the microscopic land use model SILO (Simple Integrated Land Use Orchestrator) with the agent-based transport simulation model MATSim (M...
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Xiaorong Zhang, Wenrui Ding, Yufeng Wang, Yizhe Luo, Zehao Zhang and Jing Xiao
Swarm control has become a challenging topic for the current unmanned aerial vehicle (UAV) swarm due to its conflicting individual behaviors and high external interference. However, in contrast to static obstacles, limited attention has been paid to the ...
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Jorge Cárdenas-Rangel, German Osma-Pinto and Julián Jaramillo-Ibarra
The energy characterization of buildings can be done by bottom-up methods such as energy simulation models (samples or archetypes). A sample consists of the selection of real buildings and an archetype is a theoretical building that represents them. Neve...
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Dana Kaziyeva, Martin Loidl and Gudrun Wallentin
Transport planning strategies regard cycling promotion as a suitable means for tackling problems connected with motorized traffic such as limited space, congestion, and pollution. However, the evidence base for optimizing cycling promotion is weak in mos...
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