EVALUATING THE IMPACT OF AUTONOMOUS VEHICLES ON ACCESSIBILITY USING AGENT-BASED SIMULATION —A CASE STUDY OF GUNMA PREFECTURE

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

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Process Modeling and Simulation of Tableting—An Agent-Based Simulation Methodology for Direct Compression

Pharmaceutics ◽

10.3390/pharmaceutics13070996 ◽

2021 ◽

Vol 13 (7) ◽

pp. 996

Author(s):

Niels Lasse Martin ◽

Ann Kathrin Schomberg ◽

Jan Henrik Finke ◽

Tim Gyung-min Abraham ◽

Arno Kwade ◽

...

Keyword(s):

Raw Materials ◽

Pilot Scale ◽

Physical Models ◽

Agent Based Simulation ◽

Validation Data ◽

Agent Based ◽

Industrial Processing ◽

Digital Twins ◽

Product And Process ◽

The Impact

In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.

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Modeling Consumer Decisions on Returning End-of-Use Products Considering Design Features and Consumer Interactions: An Agent Based Simulation Approach

Volume 2A: 41st Design Automation Conference ◽

10.1115/detc2015-46864 ◽

2015 ◽

Cited By ~ 1

Author(s):

Ardeshir Raihanian Mashhadi ◽

Behzad Esmaeilian ◽

Sara Behdad

Keyword(s):

Electronic Waste ◽

Peer Pressure ◽

Waste Stream ◽

Contributing Factors ◽

Agent Based Simulation ◽

Design Features ◽

Agent Based ◽

Consumer Decisions ◽

Take Back ◽

The Impact

As electronic waste (e-waste) becomes one of the fastest growing environmental concerns, remanufacturing is considered as a promising solution. However, the profitability of take back systems is hampered by several factors including the lack of information on the quantity and timing of to-be-returned used products to a remanufacturing facility. Product design features, consumers’ awareness of recycling opportunities, socio-demographic information, peer pressure, and the tendency of customer to keep used items in storage are among contributing factors in increasing uncertainties in the waste stream. Predicting customer choice decisions on returning back used products, including both the time in which the customer will stop using the product and the end-of-use decisions (e.g. storage, resell, through away, and return to the waste stream) could help manufacturers have a better estimation of the return trend. The objective of this paper is to develop an Agent Based Simulation (ABS) model integrated with Discrete Choice Analysis (DCA) technique to predict consumer decisions on the End-of-Use (EOU) products. The proposed simulation tool aims at investigating the impact of design features, interaction among individual consumers and socio-demographic characteristics of end users on the number of returns. A numerical example of cellphone take-back system has been provided to show the application of the model.

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An Agent-Based Simulation for Investigating the Impact of Stereotypes on Task-Oriented Group Formation

Social Computing, Behavioral-Cultural Modeling and Prediction - Lecture Notes in Computer Science ◽

10.1007/978-3-642-19656-0_36 ◽

2011 ◽

pp. 252-259 ◽

Cited By ~ 3

Author(s):

Mahsa Maghami ◽

Gita Sukthankar

Keyword(s):

Group Formation ◽

Agent Based Simulation ◽

Agent Based ◽

Task Oriented ◽

The Impact

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Application of Agent-based Modeling for Cultural Information-based Decisions Making

Informacijos mokslai ◽

10.15388/im.2020.88.29 ◽

2020 ◽

Vol 88 ◽

pp. 8-28

Author(s):

Rimvydas Laužikas ◽

Darius Plikynas ◽

Vytautas Dulskis ◽

Leonidas Sakalauskas ◽

Arūnas Miliauskas

Keyword(s):

Social Capital ◽

Simulation Model ◽

Cultural Participation ◽

Agent Based Simulation ◽

Research Issues ◽

Agent Based ◽

Cultural Events ◽

The Social ◽

Cultural Processes ◽

The Impact

The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the development of measuring metrics, and agent-based simulation model aimed at investigation of the social impact of cultural processes. This paper provides new insights of modeling the social capital changes in a society and its groups, depending on cultural participation. The proposed measurement metrics provide the measurement facility of three key components: actors, cultural events and events flow and social capital. It provides the initial proof of concept simulation results, - simplified agent-based simulation model showcase. The NetLogo MAS platform is used as a simulation environment.

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Agent-Based Modelling in Multicellular Systems Biology

Data Analytics in Medicine ◽

10.4018/978-1-7998-1204-3.ch020 ◽

2020 ◽

pp. 369-389

Author(s):

Sara Montagna ◽

Andrea Omicini

Keyword(s):

Developmental Biology ◽

Drosophila Melanogaster ◽

Systems Biology ◽

Computational Models ◽

The Self ◽

Agent Based Simulation ◽

Agent Based ◽

Agent Based Modelling ◽

Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

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Development of an agent-based model to assess the impact of substandard and falsified anti-malarials: Uganda case study

Malaria Journal ◽

10.1186/s12936-018-2628-3 ◽

2019 ◽

Vol 18 (1) ◽

Cited By ~ 6

Author(s):

Sachiko Ozawa ◽

Daniel R. Evans ◽

Colleen R. Higgins ◽

Sarah K. Laing ◽

Phyllis Awor

Keyword(s):

Agent Based Model ◽

Agent Based ◽

The Impact

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Agent Based Model to Analyze Consumer Behavior in Consuming the Electricity Energy

Jurnal Teknologi ◽

10.11113/jt.v72.3911 ◽

2015 ◽

Vol 72 (4) ◽

Author(s):

Erma Suryani ◽

Rully Agus Hendrawan ◽

Umi Salama ◽

Lily Puspa Dewi

Keyword(s):

Consumer Behavior ◽

Simulation Model ◽

Environmental Awareness ◽

Electricity Consumption ◽

Point Of View ◽

Agent Based Model ◽

Agent Based Simulation ◽

Agent Based ◽

Save Energy ◽

The Impact

Several studies have been conducted regarding save energy in consuming the electricity through the simple changes in routines and habits. In the case of electricity consumption, consumer behavior might influenced by several factors such as consumer profession, season, and environmental awareness. In this paper, we developed an Agent Based Model (ABM) to analyze the behavior of different agents in consuming the electricity energy for each type of profession (agent) as well as their interaction with the environment. This paper demonstrates a prototype agent based simulation model to estimate the electricity consumption based on the existing condition and some scenarios to reduce the electricity consumption from consumer point of view. From the scenario results, we analyzed the impact of the save energy to increase the electrification ratio.

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