scholarly journals Quantitative analysis of future scenarios of urban mobility using agent-based simulation – A case study

2019 ◽  
Vol 41 ◽  
pp. 295-308
Author(s):  
Thorsten Neumann ◽  
Matthias Heinrichs ◽  
Michael Behrisch ◽  
Jakob Erdmann ◽  
Anke Sauerländer-Biebl
Keyword(s):  
Quantitative Analysis ◽  
Future Scenarios ◽  
Urban Mobility ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

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.

Agent-Based Modelling in Multicellular Systems Biology

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.

scholarly journals Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0118359 ◽  
Author(s):  
Grazziela P. Figueredo ◽  
Peer-Olaf Siebers ◽  
Uwe Aickelin ◽  
Amanda Whitbrook ◽  
Jonathan M. Garibaldi
Keyword(s):  
System Dynamics ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals An integrated cellular automata evolutionary-based approach for evaluating future scenarios and the expansion of urban drainage networks

2013 ◽  
Vol 16 (2) ◽  
pp. 319-340 ◽  
Author(s):  
Arlex Sanchez ◽  
Neiler Medina ◽  
Zoran Vojinovic ◽  
Roland Price
Keyword(s):  
Cellular Automata ◽  
Drainage System ◽  
Urban Drainage ◽  
Drainage Network ◽  
Future Scenarios ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Future Developments ◽  
Drainage Networks

The paper describes and demonstrates an integrated cellular automata evolutionary-based approach for evaluating future scenarios including the expansion of urban drainage networks. The approach can be used to derive a drainage network layout based on future land use scenarios. Two techniques are used to derive the layout of the system: one using agent-based modelling and the other using similar principles built as a set of raster operations within ArcGIS. The tools and models are applied to a case study in Birmingham, UK. The results show that both techniques perform well for carrying out a scoping analysis at an urban scale. The case study shows that the application of the proposed approach for simulating urban growth processes and the consequent expansion of the drainage networks can achieve promising results. The interconnected drainage model for Birmingham shows that future developments will contribute further to flooding problems if no improvements are made to the existing drainage system. The same approach can be used to identify those drainage system elements that require immediate attention and which need to be replaced in order to improve the overall system performance.

scholarly journals Agent-Based Simulation of Pedestrian Behaviour in Closed Spaces: A Museum Case Study

2014 ◽  
Vol 17 (1) ◽  
Author(s):  
Alessandro Pluchino ◽  
Cesare Garofalo ◽  
Giuseppe Inturri ◽  
Andrea Rapisarda ◽  
Matteo Ignaccolo
Keyword(s):  
Agent Based Simulation ◽  
Agent Based
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