Exploring the Applications of Agent-Based Modeling in Transportation

Delcea, Camelia; Chirita, Nora

doi:10.3390/app13179815

Cited by 6 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, in transportation studies, it can provide an alternative to traditional equation-based models. Delcea and Chirita [6] highlight that specific applications of ABM in transportation, including the aviation, maritime, road, and rail sectors, involve the study of airport operations, maritime efficiency, traffic congestion, evacuation scenarios, and public transportation systems.…”

Section: Top 10 Most Cited Papers-overviewmentioning

confidence: 99%

“…However, to mitigate computational costs, a metamodel can be constructed to provide insights at a less computationally demanding level. ABM has a range of applications that can be modeled, such as simulating emergency evacuation processes [4,5], specific transportation applications [6], modeling Grey economic systems [7], financial process modeling [8], analyzing financial contagion effects [9], medicine [10,11], etc.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study

Ionescu,

Delcea,

Chiriță

et al. 2024

Algorithms

Self Cite

View full text Add to dashboard Cite

This research provides a comprehensive analysis of the dynamic interplay between agent-based modeling (ABM) and artificial intelligence (AI) through a meticulous bibliometric study. This study reveals a substantial increase in scholarly interest, particularly post-2006, peaking in 2021 and 2022, indicating a contemporary surge in research on the synergy between AI and ABM. Temporal trends and fluctuations prompt questions about influencing factors, potentially linked to technological advancements or shifts in research focus. The sustained increase in citations per document per year underscores the field’s impact, with the 2021 peak suggesting cumulative influence. Reference Publication Year Spectroscopy (RPYS) reveals historical patterns, and the recent decline prompts exploration into shifts in research focus. Lotka’s law is reflected in the author’s contributions, supported by Pareto analysis. Journal diversity signals extensive exploration of AI applications in ABM. Identifying impactful journals and clustering them per Bradford’s Law provides insights for researchers. Global scientific production dominance and regional collaboration maps emphasize the worldwide landscape. Despite acknowledging limitations, such as citation lag and interdisciplinary challenges, our study offers a global perspective with implications for future research and as a resource in the evolving AI and ABM landscape.

show abstract

Section: Top 10 Most Cited Papers-overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study

Ionescu,

Delcea,

Chiriță

et al. 2024

Algorithms

Self Cite

View full text Add to dashboard Cite

show abstract

“…On the other hand, simulation in customer service systems, the flow of customers in a service system has been analyzed [12,13] as well as evaluating staffing strategies [14][15][16] waiting times [17,18] and resource distribution to optimize customer satisfaction [19,20] as well as in logistics systems [21,22]. Another area widely studied with simulation is vehicle flow systems in a transportation network [23][24][25] modeling traffic and intersections [26][27][28][29][30][31], and modeling public transportation systems [32][33][34][35][36], as well as health systems [37,38].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Processing Times and Economic Feasibility to Produce Moringa Oleifera Lam. Capsules in Mexico.

Delfín-Portela,

Meléndez-Armenta,

Gurruchaga-Rodríguez

et al. 2024

Preprint

View full text Add to dashboard Cite

The production of Moringa oleifera capsules has emerged as a promising agricultural activity in Mexico, driven by the plant’s well-documented health and nutritional benefits. In response, farmers have begun producing Moringa oleifera as a dietary supplement, using artisanal methods with minimal production controls. This study aimed to estimate the processing times of the Moringa oleifera production system using simulation modeling with Arena® software, and to evaluate the economic feasibility of capsule production. Methodologically, it was approached as a case study in the state of Veracruz, processing times were estimated through systematic sampling and modeled with Arena simulation software. Three simulation scenarios were considered to select a technically and economically viable alternative for agricultural producers: one with a 200-capsule encapsulator (1E200C), another with two 200-capsule encapsulators (2E200C) and a third with an 800-capsule encapsulator (1E800C). For the initial diagnosis a research stay was conducted for 180 days, and the production capacity was set at 24,000 capsules due to raw material limitations. Results indicated that the 1E800C scenario reduced processing time by 60% compared to the1E200C scenario, and by 35% compared to the 2E200C scenario. Additionally, the 1E800C model required only 2 days (16 hours) of work, while the 2E200C required 4 days (32 hours), and the 1E200C required 7 days (56 hours). In terms of production costs per unit of 90 capsules, the 1E200C was 3.93 USD the 2E200C 3.64 USD and the 1E800C 3.45 USD The study concluded that due to raw material limitations, the company can produce 12,800 units per year of 90 capsules. It is recommended to adopt the 1E800C encapsulator, which would lower overall production costs by 12.23%, representing 0.48 USD per unit produced, resulting in an additional profit of 6,150.50 USD Over a five-year evaluation period, the benefit-cost ratio was 5.03, the NPV was 922,370.11 and the IRR was 42.09%, indicating that this type of agribusiness in Mexico is both technically and economically feasible.

show abstract

“…The utility of ABMs in the field of transportation lies in their capability to effectively model various aspects [31]. ABMs excel in capturing individual behaviors within complex environments marked by spatial interactions.…”

Section: Introductionmentioning

confidence: 99%

“…With ABMs, it is possible to define behavioral rules for micro-level agents that, through simulation, can demonstrate intricate and emergent patterns at the macro level. For instance, the study of ABMs enables the observation of traffic congestion patterns' formation, an outcome unattainable through traditional modeling approaches [31].…”

Section: Introductionmentioning

confidence: 99%

From Data to Insights: A Bibliometric Assessment of Agent-Based Modeling Applications in Transportation

Domenteanu,

Delcea,

Chiriță

et al. 2023

Applied Sciences

Self Cite

View full text Add to dashboard Cite

This paper presents a bibliometric analysis within the research domain dedicated to the utilization of agent-based modeling (ABM) in the field of transportation. By employing specific keywords related to both agent-based modeling and transportation, we have identified and extracted 1016 scholarly papers from the ISI Web of Science database, spanning the period from 2002 to 2023. Through the application of bibliometric methods, we have systematically examined key contributors, affiliations of academic institutions, influential publications, and renowned journals within this domain. Our analysis reveals a consistent and robust growth in scholarly interest pertaining to agent-based modeling in the field of transportation throughout the considered period. Notably, within approximately four decades of ABM’s application in transportation, a distinct upward trajectory began in 2008, culminating in the year 2021. The entire considered period witnessed a remarkable surge in paper production, characterized by an annual growth rate of 21.67%. Furthermore, employing an n-gram analysis, we have delineated and discussed the principal areas within transportation that have progressively benefited from the advancements in agent-based modeling. Prominently, the domains of air transport and road transport have exhibited substantial development over time, while the implications of climate change have emerged as a persistent concern throughout the entire study period.

show abstract

Exploring the Applications of Agent-Based Modeling in Transportation

Abstract: Agent-based modeling (ABM) has emerged as a distinct and innovative paradigm offering an alternative to conventional modeling techniques which often rely on equation-based representations to depict specific events or phenomena [...]

Cited by 6 publications

References 36 publications

Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study

Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study

Estimation of Processing Times and Economic Feasibility to Produce Moringa Oleifera Lam. Capsules in Mexico.

From Data to Insights: A Bibliometric Assessment of Agent-Based Modeling Applications in Transportation

Contact Info

Product

Resources

About