RETRACTED ARTICLE: A new truck-drone routing problem for parcel delivery by considering energy consumption and altitude

Momeni, Maryam; Al-e-hashem, S.M.J. Mirzapour; Heidari, Ali

doi:10.1007/s10479-023-05381-8

Cited by 9 publications

(2 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The drone (including onboard battery), and payload masses make up of the total mass of the drone and affect the fuselage design and schedule decisions. Increasing the drone mass leads to a higher power requirement (Kyriakakis et al, 2023;Momeni et al, 2023;Rotaru & Todorov, 2018;Zhang et al, 2021). Sorbelli et al (2020) estimated the energy consumed for covering an arc of per unit distance by a delivery octocopter under different wind conditions, payloads, and flying airspeeds.…”

Section: Massmentioning

confidence: 99%

Energy‐consumption model for rotary‐wing drones

Li,

Zhan,

Wang

2024

Journal of Field Robotics

View full text Add to dashboard Cite

With technological advancement, the use of drones in delivery systems has become increasingly feasible. Many companies have developed rotary‐wing drone (RWD) technologies for parcel delivery. At present, the limited endurance is the main disadvantage of RWD delivery. The energy consumption of RWDs must be carefully managed, and it is necessary to develop an effective energy‐consumption model to support RWD flight planning. Because the interaction between the forces on the RWD and its flying environment is very complex, it is challenging to estimate accurately the RWD energy consumption. This study summarizes several energy‐consumption models proposed in the literature, then we develop an RWD energy‐consumption model (called the integrated model) based on analyzing the dynamic equilibrium of forces and power consumption in flight phases (including climb, descent, hover, and horizontal flight). Computational experiments involving several commercial RWDs indicate that the integrated model is more effective than several models in the literature. In the case where an RWD completed one flight segment, on average, 87.63% of the battery capacity was consumed in the horizontal flight phase. We also analyzed the effects of the total mass and horizontal airspeed on the RWD endurance and found that a larger mass corresponded to shorter endurance, and in the experimental range of the horizontal airspeed, a higher horizontal airspeed corresponded to longer endurance. Moreover, the total mass affected the RWD endurance more significantly than the horizontal airspeed.

show abstract

Section: Massmentioning

confidence: 99%

Energy‐consumption model for rotary‐wing drones

Li,

Zhan,

Wang

2024

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

“…Their own solution process comes through an exact branch-and-price algorithm, applied after an initial tabu search application. Momeni et al [18] assumed different altitudes for package deliveries and calculated the drones' energy consumption as affected by wind and weight. Deliveries are only made by drones, and a two-phase algorithm based on the nearest neighborhood and local search was used to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Planning Integrated Unmanned Aerial Vehicle and Conventional Vehicle Delivery Operations under Restricted Airspace: A Mixed Nested Genetic Algorithm and Geographic Information System-Assisted Optimization Approach

Kouretas,

Kepaptsoglou

2023

Vehicles

View full text Add to dashboard Cite

Using Unmanned Aerial Vehicles (UAVs), commonly referred to as “drones”, as a supplementary mode for last-mile deliveries has been a research focus for some years now. Motivation lies in the reduced dependency on Conventional Vehicles (CVs) and fossil fuels and in serving remote areas and underprivileged populations. We are building a flexible, modular framework for integrated CV-UAV parcel delivery operations planning that is responsive to infrastructure and demand and offers an open and practical tool for future adaptations. The entire model and solution methodology are practical tools for decision making and strategic planning, with novelties such as the variable Launch Site types for Launch and Recovery Operations (LAROs), the tailored Assignment and Routing Optimization nested GA, the consideration of airspace restrictions of any shape and size, the inclusion of GIS tools in the process, the modularity of the platform, and most importantly, the inclusion of all the above in a single, comprehensive, and holistic approach. Because of the need for safe UAV deployment sites and the high presence of restricted airspace zones in urban environments, the intended field of application is assumed to be the delivery of small packages in rural and under-connected areas, the execution of inter-city deliveries, and the expansion of a city’s original service range. A single CV is equipped onboard with UAVs, while special locations, such as Remote Depots (RDs) with UAVs and Virtual Hubs (VHs) for UAV deployment facilitation, are introduced. The framework considers the presence of Restricted Zones (RZs) for UAV flights. Part of the methodology is implemented in a GIS environment, taking advantage of modern tools for spatial analysis and optimal path planning. We have designed a tailored nested GA method for solving the occurring mode assignment and vehicle routing optimization problems and have implemented our workflow on a devised case study with benchmark characteristics. Our model responds well to unfavorable network types and demand locations, while the presence of RZs notably affects the expected solution and should be considered in the decision-making process.

show abstract