Infrastructure Optimization of In-Motion Charging Networks for Electric Vehicles Using Agent-Based Modeling

Willey, Landon C.; Salmon, John L.

doi:10.1109/tiv.2021.3064549

Cited by 9 publications

(2 citation statements)

References 47 publications

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“…Data are generated as agents interact. ABM has been used to model electric vehicle transportation networks (Willey & Salmon 2021), military use of small, unmanned air vehicles (Christensen and Salmon 2022), persistent search and retrieval using multiple unmanned air vehicles (Day & Salmon 2021), and to estimate product impacts during the product development process (Mabey et al 2021).…”

Section: Airship System Designmentioning

confidence: 99%

An approach for including social impact measures in systems design exploration

et al. 2023

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Engineered products have economic, environmental, and social impacts, which comprise the major dimensions of sustainability. This paper seeks to explore interactions between design parameters when social impacts are incorporated into the concept development phase of the systems design process. Social impact evaluation is increasing in importance similar to what has happened in recent years with environmental impact consideration in the design of engineered products. Concurrently, research into new airship design has increased. Airships have yet to be reintroduced at a large scale or for a range of applications in society. Although airships have the potential for positive environmental and economic impacts, the social impacts are still rarely considered. This paper presents a case study of the hypothetical introduction of airships in the Amazon region of Brazil to help local farmers transport their produce to market. It explores the design space in terms of both engineering parameters and social impacts using a discrete-event simulation to model the system. The social impacts are found to be dependent not only on the social factors and airship design parameters but also on the farmer-airship system, suggesting that socio-technical systems design will benefit from integrated social impact metric analysis.

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Section: Airship System Designmentioning

confidence: 99%

An approach for including social impact measures in systems design exploration

et al. 2023

Self Cite

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“…Zhang et al [45] provided a hybrid GA with the advanced framework and a customized recombination operator to generate high-quality solutions for multi-trip dial-a-ride problem (MTDARP). Willey and Salmon [46] studied the electric vehicle route-planning decisions in the presence of multiple charging options and used the GA to optimize the location of roadways with dynamic charging capabilities.…”

Section: Evolutionary Optimization Algorithmsmentioning

confidence: 99%

GA-LNS Optimization for Helicopter Rescue Dispatch

Cheng

Gao

Tian

et al. 2023

IEEE Trans. Intell. Veh.

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Aviation emergency rescue has become one of the most effective means for natural disaster relief due to its flexible and timely characteristics. A reasonable emergency dispatch plan can guarantee the effective implementation of all the rescue measures. Most of previous studies in this area focused on the scheduling and routing but ignored the impact of the specific rescue process, for example the fuel consumption of various helicopters. In this paper, a multi-helicopter-multi-trip Aviation Rescue Routing Problem (ARRP) is analysed which covers the whole rescue process. In addition, a time-domain procedural simulation model is built which can consider different helicopters, refueling or not, various resource locations, multiple disaster sites and other operation factors. Based on that, a Genetic Algorithm (GA) hybridized Large Neighborhood Search (LNS) algorithm (GA-LNS) is proposed for optimization. In ARRP, single search algorithm may lead to the local optimum due to complexity. In contrast, the distance greedy strategy and the load ratio strategy are combined in GA-LNS which can fix the local optimum problem. More specifically, based on the helicoptertagged-task-sequenced chromosome, the single-point crossover operator is used in GA and then, the worst removal strategy and the first/last insertion strategy are adopted in LNS. Finally, the numerical experiments are exercised to verify the effectiveness of the proposed GA-LNS algorithm which is compared with three traditional basic heuristic algorithms and a stateof-the-art memetic algorithm.

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