Urban Air Mobility (UAM) is emerging as one of the solutions to the congestion of ground traffic in the city and the resulting environmental problems. UAM, which operates at low altitudes in urban areas, has different characteristics from general commercial aircraft. Therefore, various technologies for safe and efficient UAM operation are being researched and developed. Safe operation of UAM requires path planning that takes into account static obstacles such as buildings and terrain, as well as dynamic obstacles such as other aircraft and weather conditions. In particular, UAM aircraft are expected to utilize small aircraft and are expected to be more affected by weather conditions than general commercial aircraft. This study presents the importance of safe and efficient UAM path planning considering various weather conditions. The UAM path planning proposed in this study consists of two major steps. First, static obstacles and weather grid maps are generated respectively by applying specific operation limit standards to the collected ground obstacles and weather data. Each grid map generated is integrated into the final grid map to determine whether it can be operated. In the second step, a safe and efficient optimal path for UAM is derived by applying the A* algorithm, known as an efficient heuristic algorithm, to the generated final grid map. The feasibility of the methodology presented in this study was confirmed in real-world through a case study using actual ground obstacles and weather forecast data. The case study focused on Jeju Island, collecting and analyzing weather forecast data at an altitude equivalent to 950hPa, considering the vertical operational range of UAM. As a result of applying the methodology, it was confirmed that different flight paths were derived depending on the weather conditions at the time of departure, even if the departure point and destination were the same flight schedule. In other words, it was confirmed that the optimal path considering various weather conditions was able to slightly increase operating distance and time compared to the path considering only static obstacles. But it was also verified that a safe path was derived with lower risks of adverse weather conditions and obstacles.
Path Planning for Urban Air Mobility Considering Weather Conditions
2024-09-29
1128606 byte
Conference paper
Electronic Resource
English
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