Innovations impacting the future of transportation: an overview of connected, automated, shared, and electric technologies

Huang, Kai; Kockelman, Kara M.; Gurumurthy, Krishna Murthy

doi:10.1080/19427867.2022.2070091

Cited by 10 publications

(3 citation statements)

References 133 publications

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“…Another distinct track of surveys is concerned with the development and review of theoretical models and solution techniques about UAV routing optimization, potentially under collaboration with trucks, i.e., the so-called truck-drone routing problem, see, e.g., [25], [26], [27], [28], [30], [32], [33], [34], [35], [36], [37], and [38]. Apart from the focus on optimization, socio-technical considerations and challenges for drone applications are investigated as well [39], [40], [41], [42], [43]. Given our dissection of comprehensive surveys on drone applications in logistics / cargo delivery, we summarize the following directions for future research:…”

Section: A Logistics / Cargo and Cargo Applicationsmentioning

confidence: 99%

AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring

Wandelt,

Wang,

Zheng

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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There exists a tremendous number of research surveys on various aspects of UAV logistics, mobility and monitoring tasks in the literature. These surveys have been published in distinct venues, often having a significant overlap in goals and key findings. In this study, we provide a meta review across nearly 100 extant UAV surveys and overview papers, extract their key messages, and investigate the extent of being complementary. We develop the AERIAL framework, which aggregates the major challenges on the way to a successful application of UAVs for logistics, mobility, and monitoring. We believe that AERIAL framework and meta review contribute towards a clearer understanding of the scientific UAV landscape challenges and the identification of potential directions for future research studies.

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Section: A Logistics / Cargo and Cargo Applicationsmentioning

confidence: 99%

AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring

Wandelt,

Wang,

Zheng

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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“…The literature has explored the broader influences and impacts of EAA adoption in the logistics sector. Huang et al (2022) found that safety is a main hindrance in the adoption of new transportation technologies [31]. Raj and Sah (2019) found that technological advancements and government regulations are the most influential factors in EAA adoption [32].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Identified Gaps [31] Examined safety, finding it to be a main hindrance to innovative technology adoption.…”

Section: Paper Key Contributionsmentioning

confidence: 99%

Data-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes

Bridgelall

2023

Algorithms

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Electric and autonomous aircraft (EAA) are set to disrupt current cargo-shipping models. To maximize the benefits of this technology, investors and logistics managers need information on target commodities, service location establishment, and the distribution of origin–destination pairs within EAA’s range limitations. This research introduces a three-phase data-mining and geographic information system (GIS) algorithm to support data-driven decision-making under uncertainty. Analysts can modify and expand this workflow to scrutinize origin–destination commodity flow datasets representing various locations. The algorithm identifies four commodity categories contributing to more than one-third of the value transported by aircraft across the contiguous United States, yet only 5% of the weight. The workflow highlights 8 out of 129 regional locations that moved more than 20% of the weight of those four commodity categories. A distance band of 400 miles among these eight locations accounts for more than 80% of the transported weight. This study addresses a literature gap, identifying opportunities for supply chain redesign using EAA. The presented methodology can guide planners and investors in identifying prime target markets for emerging EAA technologies using regional datasets.

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A Systematic Study on Implementation of Smart Devices for Sustainable Environment

Nirmal,

Shah,

Azrour

et al. 2024

World Sustainability Series

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Innovations impacting the future of transportation: an overview of connected, automated, shared, and electric technologies

Cited by 10 publications

References 133 publications

AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring

AERIAL: A Meta Review and Discussion of Challenges Toward Unmanned Aerial Vehicle Operations in Logistics, Mobility, and Monitoring

Data-Driven Deployment of Cargo Drones: A U.S. Case Study Identifying Key Markets and Routes

A Systematic Study on Implementation of Smart Devices for Sustainable Environment

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