Electric Vertical Take-Off and Landing (eVTOL) has been used in the most diverse applications, as electric vehicles and having a small size, they could land in small spaces and maybe in dense urban areas. Another type of vehicle used is the Unmanned air vehicle (UAV), which doesn't need user (human) control. The future of the development of this technology is the use of these vehicles to make deliveries and transportation of people and many others, having many vehicles making transit in small areas, leading to traffic jams. Despite this, most research focuses on scenarios with only one or a few agents. These scenarios, however, do not reflect the reality expected in the future, including multiple aircraft controlled by different entities, with diverse goals. These scenarios, mainly urban and used in dense areas, with many vehicles having to share the same air space, the normal Air Traffic Management (ATM) could not handle this new traffic, of hundreds of small and autonomous vehicles, in a central city region, this requires specific rules that have been called UAM (Urban Air Mobility). Bringing issues as safety and rules regarding the organization of this new system. This work aims to present scenarios using computer simulations created based on a multi-agent simulation tool or a Multi-Agent System (MAS). The MAS has the advantage that we could create and simulate more powerfully the existence of multiple vehicles (or agents) that act independently, as would happen in a real situation. This tool uses the Netlogo language and allows the modeling of multiple UAVs with stochastic trajectories created in a decentralized way, verifying how the model deals with conflicts and obstacles, highlighting some challenges and capabilities of UAM. Presenting some scenarios, using different parameters, such as aircraft by distinct capacities and in adverse climatic situations. As well, analyzes of results from these simulations conducted to assess the safety and the performance of the process. Using this tool, we propose some testing scenarios and execute some validation using multiple executions with different parameters as the number of planes and velocity to get results as the trajectory time and the number of conflicts. With this data, we try to show that we could estimate the airspace capacity and validate the safety of the given model used parameters. We will show some results of the execution of this tool and try to make some inferences and draw some conclusions based on these results.


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    Titel :

    Scenarios for the Use of eVTOLs Using Multiagent SystemsWith Netlogo:Comparison Of Parameters And The Impact On UAM




    Erscheinungsdatum :

    03.10.2021


    Format / Umfang :

    1312707 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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