Article
Automation & Control Systems
Chao Huang, Zhenxing Ming, Hailong Huang
Summary: This paper explores the use of drones for last-mile parcel delivery, focusing on flight planning to minimize travel time and proposing different scenarios for recharging the drones at drone stations. The study presents a framework for autonomous long-distance delivery using drones and offers a dynamic solution to address resource limitations at drone stations. The presented approach effectively finds the optimal flight plan for drones.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Hailong Huang, Andrey Savkin, Chao Huang
Summary: This article introduces a new method that proposes drones to "ride" public transportation vehicles for parcel delivery, aiming to solve the issue of being unable to deliver parcels over long distances due to limited flight range of drones. It presents a solution for planning drone routes in the public transportation network, achieving a significant expansion of the delivery area through the construction of a multimodal network.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Pengfei Du, Xiang He, Haotong Cao, Sahil Garg, Georges Kaddoum, Mohammad Mehedi Hassan
Summary: In the context of Industry 5.0, AI-based logistics UAVs are widely used in intelligent transportation systems due to their advantages. However, most existing logistics UAV delivery models do not consider energy consumption and mixed time windows, making them impractical. This study proposes a cooperative path planning algorithm to minimize the total energy cost of multiple logistics UAVs. The algorithm combines genetic algorithm and large neighborhood search to optimize the route and service allocation. Simulation results show significant reduction in energy cost compared to other optimization algorithms.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Yu Wu, Shaobo Wu, Xinting Hu
Summary: This article discusses the application of drones and unmanned ground vehicles in urban environments for tasks such as delivery, rescue, and surveillance. A hybrid algorithm combining EDA and GA is proposed to solve the cooperative path planning problem and improve the efficiency of tasks. Simulation results show that the UAVs & UGVs system can enhance task efficiency through circular path planning and online adjustment strategies.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Economics
Ido Orenstein, Tal Raviv
Summary: The small parcel delivery industry is rapidly growing due to the expansion of the e-commerce sector. This paper introduces a logistic model called the hyperconnected service network (HCSN) to improve the delivery process by reducing total distance, enhancing efficiency, and saving resources.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Chemistry, Analytical
Minyi Deng, Qingqing Yang, Yi Peng
Summary: To address the poor real-time performance of path planning algorithms for UAVs in low-altitude urban logistics, this paper proposes a path planning method that combines a modified BAS algorithm with the SA algorithm. The method includes the design of a fitness function for real-time search of waypoints, improvements in determining the initial search direction, and updates in the search step size and antennae sensing length based on the distance between the UAV and obstacles. The SA algorithm is then used to update the waypoints and evaluate their effectiveness, leading to better performance in terms of path length, waypoints, safety obstacle avoidance, and smoothness compared to the original BAS method.
Review
Green & Sustainable Science & Technology
Yi Li, Min Liu, Dandan Jiang
Summary: This paper discusses the challenges brought by the booming development of e-commerce to the logistics industry and introduces the application of drones in logistics. By reviewing 36 studies, it illustrates the applications of drones in theoretical models, application scenarios, and other issues. Future directions include different application scenarios and the combination of algorithms.
Article
Engineering, Civil
Yiying Zhang, Guanzhong Zhou, Peng Hang, Chao Huang, Hailong Huang
Summary: This paper proposes a multi-drones-assisted commercial parcel delivery system that utilizes a generalized service network (GSN) to support long-distance delivery. The flight planning problem of drones is converted into a large-scale optimization problem using a priority-based encoding mechanism. An enhanced backtracking search algorithm (EBSA) is introduced to solve this problem, which takes into account the characteristics of the flight planning problem and the limitations of the backtracking search algorithm in escaping local optima. Experimental results demonstrate the effectiveness of the improved strategies and the excellent performance of EBSA on the considered flight planning problem.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Hailong Huang, Andrey Savkin
Summary: This paper investigates the use of UAVs and public transportation vehicles for surveying important sites in a city, and proposes two suboptimal algorithms for task assignment.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Gunasekaran Raja, Sailakshmi Suresh, Sudha Anbalagan, Aishwarya Ganapathisubramaniyan, Neeraj Kumar
Summary: The paper introduces a Particle Filter-based Indoor Navigation (PFIN) framework for drone navigation, utilizing Quadcopter Mapping Algorithm and Optimized Localization Algorithm to enhance precision and velocity estimation. The efficiency of the algorithms is demonstrated through SITL and HITL simulations, showcasing reduced position error and improved UAV exploration precision.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Xuehong Gao, Xuefeng Jin, Pai Zheng, Can Cui
Summary: A bi-objective stochastic optimization model is proposed for rebalancing and transporting commodities during disasters using a multi-modal transportation system. The model is linearized and an adaptive augmented E-constraint method is applied to obtain a number of Pareto-optimal solutions. A case study demonstrates decision making effectiveness, while sensitivity analysis on critical parameters is conducted.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Engineering, Civil
Shiyao Zhang, Christos Markos, James J. Q. Yu
Summary: The research team designed an autonomous vehicle intelligent system that provides joint ride-sharing and parcel delivery services under realistic constraints, using mixed-integer linear programming and Lagrangian dual decomposition method to ensure scalability. Experimental results show that the system can effectively provide services and meet the demands of transportation networks of various scales.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Gamil Ahmed, Tarek R. Sheltami
Summary: The emergence of UAVs has gained attention due to their applications, but risks associated with flight safety exist. The paper proposes an optimization strategy to maximize the number of UAVs operating while adhering to regulatory constraints, using an improved version of the meta-heuristic algorithm IPSO. The objective functions considered are minimizing energy consumption and maximizing the number of UAVs. The proposed approach successfully increases the region capacity, ensuring safety and regulatory constraints.
Article
Computer Science, Hardware & Architecture
Juanjuan Ren, Siti Salwa Salleh
Summary: This study presents a comprehensive, efficient, and practical path planning method for modern logistics intelligent distribution. By considering both physical and service network elements, it provides a novel and effective approach to improve distribution paths.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Transportation Science & Technology
Rong Cheng, Yu Jiang, Otto Anker Nielsen, David Pisinger
Summary: With the increasing concerns about traffic congestion and climate change, efforts have been made to enhance sustainable urban mobility by integrating transportation of passengers and goods. This study proposes the simultaneous transportation of passengers and goods using demand-responsive buses and drones. A new optimization problem is introduced to design routes for both buses and drones, and a metaheuristic algorithm is developed to solve the problem for large-scale instances. Numerical experiments validate the model and evaluate the efficiency of the algorithm, while sensitivity analyses explore the influences of different factors on the total cost.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Chemistry, Analytical
Fuad Hasan, Hailong Huang
Summary: Predicting the trajectories of surrounding vehicles is crucial in autonomous driving, especially in highway settings where minor deviations can lead to serious accidents. Current methods use RNNs, CNNs, and GNNs to model vehicle interactions and predict future trajectories. However, popular datasets like NGSIM are criticized for being noisy and prone to overfitting. Transformers, known for their performance in NLP tasks, have not been extensively explored due to cumulative errors in time-series forecasting. To address this, we propose MALS-Net, a Multi-Head Attention-based LSTM Sequence-to-Sequence model that effectively utilizes the transformer's mechanism without suffering from cumulative errors. Our model outperforms other approaches in both short and long-term prediction on the practical dataset BLVD.
Article
Chemistry, Analytical
Chao Huang, Yafei Wang, Peng Hang, Zhiqiang Zuo, Bo Leng
Article
Computer Science, Information Systems
Andrey V. V. Savkin, Chao Huang, Wei Ni
Summary: This article proposes a joint path planning and communication scheduling problem for a team of unmanned aerial vehicles (UAVs) performing computing tasks for IoT devices on uneven terrain. Reconfigurable intelligent surfaces (RISs) are deployed to improve wireless communication between UAVs and IoT devices. The objective is to develop an algorithm that maximizes computing tasks performed by the UAVs and minimizes their energy consumption. An effective path planning algorithm is proposed and its asymptotic optimality is mathematically proven.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Andrey V. Savkin, Chao Huang, Wei Ni
Summary: This paper addresses the problem of placing aerial base stations (BSs) on uneven terrains to establish communication with ground users in cellular networks. To overcome coverage blind spots and extend coverage, Reconfigurable Intelligent Surfaces (RISs) are deployed on the uneven terrains to assist the UAV-BSs. Signals can be transmitted either directly or via RISs. We propose a novel UAV-BS deployment algorithm that maximizes coverage and analyze its convergence. Simulation results demonstrate the effectiveness of our algorithm.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Automation & Control Systems
Mohsen Eskandari, Andrey V. Savkin, Wei Ni
Summary: This paper proposes a framework for optimal navigation of RIS-outfitted UAVs to maintain line-of-sight wireless links with ground vehicles in dense urban areas. The framework optimizes the trajectories of the UAVs considering energy efficiency, communication channel gains, and constraints associated with motion and line-of-sight service. A consensus-based coordinating approach is adopted to cover all mobile targets under good quality of service. Simulation results demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Mohsen Eskandari, Andrey V. V. Savkin
Summary: This article proposes a robust PLL with several enhanced characteristics to address the dynamic performance and stability issues of GFD-VSC in distorted/polluted conditions, weak grid connections, fault ride-through transients, and frequency estimation. Numerical simulations validate the effectiveness of the proposed PLL.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Mohsen Eskandari, Andrey V. Savkin, John Fletcher
Summary: This letter presents a method of using impedance emulation to synthesize inertia in autonomous microgrids. An intelligent grid-forming inverter (GFI) is proposed to provide sufficient degrees of freedom for adaptive impedance shaping. The latter adaptively changes the effective bandwidth of the inverter's voltage controller in response to disturbances for inertia synthesis. Deep reinforcement learning is used to overcome the lack of explicit quantitative relationship between impedance shaping and inertia. Simulation results demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Mohsen Eskandari, Hailong Huang, Andrey V. Savkin, Wei Ni
Summary: This paper proposes a reconfigurable intelligent surface (RIS)-equipped unmanned aerial vehicle (RISeUAV) to provide uninterrupted line-of-sight communication for intelligent vehicles. A two-stage method is used to plan the optimal trajectory considering energy consumption, speed/acceleration constraints, and communication performance. Simulation results show the accuracy and effectiveness of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Article
Computer Science, Information Systems
Andrey V. Savkin, Chao Huang, Wei Ni
Summary: This article discusses a time-constrained data collection problem from a network of ground sensors mounted on a nonflat terrain by several unmanned aerial vehicles (UAVs). Ground-based reconfigurable intelligent surfaces (RISs) are used to make data collection more effective. A model-predictive-control-based algorithm for UAVs navigation and data transmission is developed to maximize the amount of data sent to the UAVs within short times and minimize the energy expenditure.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Civil
Andrey V. Savkin, Hailong Huang
Summary: This paper addresses a trajectory planning problem for a team of UAVs following several ground vehicles on uneven terrain for video surveillance. A model predictive control-based multi-UAV path planning algorithm is designed, and a theoretical justification of the path planning algorithm is provided. Extensive simulation studies demonstrate the performance of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Andrey V. Savkin, Wei Ni, Mohsen Eskandari
Summary: This paper presents a new cellular-assisted radio surveillance and tracking technique using a UAV as the mobile receiver and a static cellular ground base station as the illuminating source. The resolution of the radio surveillance and imaging depends on the relative positions and motions of the UAV, base station, and target. A novel UAV navigation law is developed to ensure that the range resolution, azimuth resolution, and distance between the UAV and the moving target are below given upper limits after some time. Simulation results validate the effectiveness of the proposed navigation law.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Review
Environmental Sciences
Mingyang Lyu, Yibo Zhao, Chao Huang, Hailong Huang
Summary: This article aims to provide readers with an understanding of the latest progress and trends in the field of UAV search and rescue by synthesizing and organizing relevant papers. It discusses the various types and components of UAVs and their importance in SAR operations. The article also reviews the integration of sensors in UAVs for SAR purposes, highlighting their roles in target perception, localization, and identification. Furthermore, it explores the applications of UAVs in SAR, including on-site monitoring and modeling, target perception and localization, and SAR operations such as task assignment, path planning, and collision avoidance. Overall, it presents a comprehensive overview of the significant role of UAVs in enhancing SAR operations and discusses potential avenues for improving their performance.
Article
Computer Science, Information Systems
Mohsen Eskandari, Andrey V. Savkin
Summary: This paper proposes a method of using an unmanned aerial vehicle (RISeUAV) equipped with a reconfigurable intelligent surface (RIS) to solve the problem of UAV-assisted communication in 5G/6G networks. Simulation results show the effectiveness of the method.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Editorial Material
Engineering, Electrical & Electronic
Xianjian Jin, Chongfeng Wei, Chao Huang, Chuan Hu, Guodong Yin, Mohammed Chadli
