Safety-Oriented Personalized Service Strategy in Air-Ground Integrated Mobility
Journal article, 2024

Air-ground Integrated Mobility (AIM) can effectively alleviate the current urban traffic pressure by expanding transportation resources in the near-ground field. However, the following problems in AIM need to be addressed urgently: 1) The high mobility of Personal Aerial Vehicles (PAVs) in low-altitude airspace leads to a sharp increase in risk factors; 2) Due to the limited communication distance, antenna direction angle, and frequent handover caused by high-speed movement, the communication quality in the air is unreliable; 3) AIM incorporates vehicles on the ground and PAVs in the air leading to the high variability of user requirements. Confronted with the personalized resource requirements of high-speed mobile PAVs in airspace with unreliable communication quality, traditional resource allocation strategies struggle to guarantee service quality. Therefore, we propose a safety-oriented personalized resource allocation strategy in AIM, which jointly considers the user requirements and resource distribution. Specifically, we first build a three-dimensional (3D) safety distance model by analyzing the motion process of PAVs with the help of a kinematics model. Then, according to the location, speed, and environmental information of the PAVs, the communication and computing resources required by each PAV under the premise of maintaining the optimal safety distance are obtained through the transmission model. Furthermore, the 3D safety distance and resources are jointly optimized, and an on-demand resource allocation algorithm enabled by Deep Reinforcement Learning (DRL) is constructed to provide the resource allocation strategy based on the personalized requirements of the users.

Three-dimensional displays

Air-ground Integrated Mobility

Atmospheric modeling

Collision avoidance

on-demand

Autonomous aerial vehicles

resource allocation

Solid modeling

Resource management

Safety

safety distance

Author

Xuelian Cai

Xidian University

Jingli Li

Xidian University

Wenwei Yue

Mengqiu Tian

Xidian University

Zifan Sha

Xidian University

Jiaming Wu

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Changle Li

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. 73 2 2564-2577

Areas of Advance

Transport

Subject Categories

Civil Engineering

Transport Systems and Logistics

DOI

10.1109/TVT.2023.3315724

More information

Latest update

3/7/2024 9