AirTaxiSim: A Simulator for Autonomous Air Taxis

The rapid advancements in air mobility vehicles is paving the way for air taxis to become a viable mode of public transportation. The next technological frontier for air taxis is fully autonomous operation. Developing safe and efficient autonomous control for air taxis presents greater challenges than for ground vehicles due to the inherent instability of aerial vehicles. Therefore, simulation solutions for autonomous air taxis will play a crucial role in accelerating their development and eventual safe deployment. This paper introduces AirTaxiSim, an end to end simulation framework for autonomous air taxis. AirTaxiSim is designed to model and analyze the complexities of autonomous air taxi operations in dynamic and cluttered urban environments. AirTaxiSim integrates high fidelity physical models of vertical take-off and landing air vehicles in photo-realistic urban environments. The primary purpose of AirTaxiSim is to evaluate the safety, performance, and efficiency of autonomous air taxi services, across a variety of scenarios, including dangerous edge cases. AirTaxiSim also provides methods for generating datasets and establishing benchmarks for autonomous air taxis. This paper describes the simulator’s construction, functionalities, and some of the use cases, providing critical information to facilitate its use in advancing autonomy in aerial vehicles.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.2514/6.2025-3349
Citations
2
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
9.99
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article

AirTaxiSim: A Simulator for Autonomous Air Taxis

Yang Zhao, Chuchu Fan, Taomei Zhu, Oswin So et al.
2 citations
Air Traffic Management and Optimization
9.99
article

AirTaxiSim: A Simulator for Autonomous Air Taxis

Yang Zhao, Chuchu Fan, Taomei Zhu, Oswin So, Naira Hovakimyan, Ayoosh Bansal, Lui Sha, Petros G. Voulgaris, Chuyuan Tao, Duo Wang, Hyung Jin Yoon, Ashik E Rasul, Mikael Yeghiazaryan
article en
2 citations

Abstract

The rapid advancements in air mobility vehicles is paving the way for air taxis to become a viable mode of public transportation. The next technological frontier for air taxis is fully autonomous operation. Developing safe and efficient autonomous control for air taxis presents greater challenges than for ground vehicles due to the inherent instability of aerial vehicles. Therefore, simulation solutions for autonomous air taxis will play a crucial role in accelerating their development and eventual safe deployment. This paper introduces AirTaxiSim, an end to end simulation framework for autonomous air taxis. AirTaxiSim is designed to model and analyze the complexities of autonomous air taxi operations in dynamic and cluttered urban environments. AirTaxiSim integrates high fidelity physical models of vertical take-off and landing air vehicles in photo-realistic urban environments. The primary purpose of AirTaxiSim is to evaluate the safety, performance, and efficiency of autonomous air taxi services, across a variety of scenarios, including dangerous edge cases. AirTaxiSim also provides methods for generating datasets and establishing benchmarks for autonomous air taxis. This paper describes the simulator’s construction, functionalities, and some of the use cases, providing critical information to facilitate its use in advancing autonomy in aerial vehicles.

California Institute of Technology (US), University of Nevada, Reno (US), University of Illinois Urbana-Champaign (US), Tennessee Technological University (US), Massachusetts Institute of Technology (US), Universidad del Noreste (MX)
Openalex Percentile: Top 3%
Air Traffic Management and Optimization
9.99
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