An Overview of Agent-Based Models for Transport Simulation and Analysis

Huang, Jiangyan; Cui, Youkai; Zhang, Lele; Tong, Weiping; Shi, Yunyang; Liu, Zhiyuan

doi:10.1155/2022/1252534

Cited by 23 publications

(9 citation statements)

References 86 publications

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“…However, the deeper motives of network formation have not been directly observed while analyses of the network formation mechanisms and node interaction processes have been lacking [43]. All three approaches, agent-based models, system dynamics-based models, and input-output models, are inevitably subjective in describing interdependency and influencing research findings [44][45][46]. Regression models have been used in earlier studies to analyze the interactions between infrastructures [47,48], however, regression models are based on the assumption of actors' interdependency, and infrastructures are typically related rather than independent of one another.…”

Section: Methods Used To Study Infrastructure Interdependencymentioning

confidence: 99%

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Wang

Zhang

et al. 2022

Buildings

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New Infrastructure (NI) has gradually become a new driving force for regional economic growth and an important part of the construction of new urban infrastructure in many countries, including China. Compared with traditional infrastructures, these NIs have mutually supportive functions and complex interrelationships that create interconnected networks of resources, information, and other interactions during the construction of the NIs. Therefore, it is important to analyze such correlation networks and explore their formation mechanisms in order to develop more scientific and reasonable strategies for NI investment and construction. In this study, the interdependence between NIs in Chongqing was analyzed as an example. Social network analysis (SNA) was used for the overall characteristics of the interdependency network of the NIs and an exponential random graph model (ERGM) was used to reveal the formation mechanism of this network. The results showed that information infrastructure is the key node for enhancing the effectiveness of Chongqing’s NI needs and its government should play a coordinating role. The network of related relationships is characterized by “reciprocity” and “small group”. The aggregation of NIs with such characteristics can produce an agglomeration effect. So, in the planning of NIs, the coordination among management departments should be strengthened and project locations should be reasonably arranged according to the functional interactive characteristics of the projects.

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Section: Methods Used To Study Infrastructure Interdependencymentioning

confidence: 99%

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Wang

Zhang

et al. 2022

Buildings

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“…Agent-based models of cities were summarized by (Crooks et al, 2021). Important trends are the development of large-scale simulations (see e.g., Santana et al (2018), Manzoor et al (2021), Huang et al (2022)) and real-time GIS applications (Li et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Smart Cities: GIS Data for Realistic Simulations

Kořínek¹,

Štekerová²

2022

Proceedings of the International Scientific Conference Hradec Economic Days 2022

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More and more cities are incorporating smart elements for their better management, increased service quality and resource optimization. A digital twin is suitable for creating the concept of a smart city. Smart cities, digital twins and agent-based simulations are mutually intertwined research fields. It is an accurate simulation of a real entity, thanks to which it is possible to explore and predict various situations and respond better to them.The usage of GIS data is important part of the process of development of realistic spatial simulations. GIS data is the essential source of parameters of the environment surrounding agents. This paper summarizes the usability of GIS data in agent-based simulations in the development of digital twins of smart cities. Sample traffic model in NetLogo was designed to demonstrate this approach.

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“…Agent-based models have been developed to study complex systems of diverse nature [ 38 , 39 , 40 , 41 , 42 ]. For instance, agents with emotional states have been used to simulate the emotion contagion [ 43 ] and the emergence of polarization opinion [ 44 ] in online social media and to evaluate a candidate in a selection process [ 45 ].…”

Section: The Modelmentioning

confidence: 99%

On Playing with Emotion: A Spatial Evolutionary Variation of the Ultimatum Game

Charcon,

Monteiro

2024

Entropy

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The Ultimatum Game is a simplistic representation of bargaining processes occurring in social networks. In the standard version of this game, the first player, called the proposer, makes an offer on how to split a certain amount of money. If the second player, called the responder, accepts the offer, the money is divided according to the proposal; if the responder declines the offer, both players receive no money. In this article, an agent-based model is employed to evaluate the performance of five distinct strategies of playing a modified version of this game. A strategy corresponds to instructions on how a player must act as the proposer and as the responder. Here, the strategies are inspired by the following basic emotions: anger, fear, joy, sadness, and surprise. Thus, in the game, each interacting agent is a player endowed with one of these five basic emotions. In the modified version explored in this article, the spatial dimension is taken into account and the survival of the players depends on successful negotiations. Numerical simulations are performed in order to determine which basic emotion dominates the population in terms of prevalence and accumulated money. Information entropy is also computed to assess the time evolution of population diversity and money distribution. From the obtained results, a conjecture on the emergence of the sense of fairness is formulated.

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An Overview of Agent-Based Models for Transport Simulation and Analysis

Cited by 23 publications

References 86 publications

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Smart Cities: GIS Data for Realistic Simulations

On Playing with Emotion: A Spatial Evolutionary Variation of the Ultimatum Game

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