Innovative scenarios for modeling intra-city freight delivery

Moore, Amy

doi:10.1016/j.trip.2019.100024

Cited by 13 publications

(4 citation statements)

References 2 publications

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“…If packages are delivered to people's doorsteps with little coordination, soaring residential freight deliveries will increase congestion, noise, and air pollution, not to mention exacerbate parking shortages in denser urban areas. If, however, last mile deliveries are coordinated, performed as part of existing daily deliveries (e.g., via the US Postal Service), done by bicycle or electric vehicles, and/or go to lockers or neighborhood convenience stores (as is commonly done in Taiwan 5 , for example), their external costs could be much reduced (e.g., see Moore, 2019).…”

Section: Discussionmentioning

confidence: 99%

E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys

Saphores

2021

Research in Transportation Economics

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Section: Discussionmentioning

confidence: 99%

E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys

Saphores

2021

Research in Transportation Economics

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“…Developing accurate and efficient energy consumption models relies on thoroughly understanding of the contributing factors. Drone operations exhibit higher sensitivity to energy considerations than traditional vehicles [14,15,16,17,18,19]. Various internal and external factors come into play, impacting energy usage.…”

Section: Analysis Of Power Loss During Flightmentioning

confidence: 99%

A Survey on Methods to Optimize Power Harvesting in Drones

Ismaeal Ahmed,

Abdelghani Ibrahim,

Ahmed. A

et al. 2024

GJRE

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This paper explores the challenges associated with limited battery capacity in drones and presents a comprehensive analysis of strategies to optimize energy harvesting and extend flight durations. Various energy generation methods, including piezoelectric and solar harvesting, are discussed, along with electrical circuit generation for wireless charging and communication-enabled energy delivery. The interdisciplinary nature of drone technology is highlighted, emphasizing the need for ongoing research in renewable energy models and innovative solutions like laser charging. The paper concludes with recommendations for further exploration and refinement of these strategies to enhance the future of UAVs.

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“…Most drone travel models impose time and/or distance limits. Much of the study assumes that energy consumption is constant per unit of time or distance traveled; hence drone energy consumption is modeled as a linear function of time or distance traveled (e.g., Ferrandez et al (2016), Ha et al (2018), Huang et al (2020b), Moore (2019)).…”

Section: Modeling Of Drone Energy Consumptionmentioning

confidence: 99%

An Overview of Drone Energy Consumption Factors and Models

Beigi¹,

Rajabi²,

Aghakhani³

2022

Preprint

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Today, there are increasing demands for flying drones with diverse capabilities for civilian and military uses, and there is growing attention given to this topic. When it comes to drone operations, the amount of energy they consume is a determining factor in their ability to achieve their full potential. According to the nature of the problem, it appears that it is necessary to identify the factors affecting the energy consumption of UAVs during the execution of missions as well as examine the general factors that influence the consumption of energy. The purpose of this chapter is to provide an overview of the current state of research in the area of UAV energy consumption. This is followed by general categorizations of factors affecting UAV's energy consumption as well as an investigation of different energy models.

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Innovative scenarios for modeling intra-city freight delivery

Cited by 13 publications

References 2 publications

E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys

E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys

A Survey on Methods to Optimize Power Harvesting in Drones

An Overview of Drone Energy Consumption Factors and Models

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