Simulation-Based Scheduling of Modular Construction Using Multi-agent Resource Allocation

2010 ◽  
Author(s):  
Hosein Taghaddos ◽  
Ulrich Hermann ◽  
Simaan AbouRizk ◽  
Yasser Mohamed
Keyword(s):  
Resource Allocation ◽  
Modular Construction ◽  
Simulation Based ◽  
Multi Agent

A Game-Theoretic Formulation of Multi-Agent Resource Allocation

2005 ◽  
Author(s):  
Jonathan Bredin ◽  
Rajiv T. Maheswaran ◽  
Cagri Imer ◽  
Tamer Basar ◽  
David Kotz ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Multi Agent ◽  
Game Theoretic

scholarly journals Electrification of Urban Waste Collection: Introducing a Simulation-Based Methodology for Technical Feasibility, Impact and Cost Analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 122 ◽  
Author(s):  
Ricardo Ewert ◽  
Alexander Grahle ◽  
Kai Martins-Turner ◽  
Anne Magdalene Syré ◽  
Kai Nagel ◽  
...  
Keyword(s):  
Open Source ◽  
Waste Collection ◽  
Commercial Vehicles ◽  
Urban Waste ◽  
Technical Feasibility ◽  
Routing Problem ◽  
Agent Based ◽  
Simulation Based ◽  
Multi Agent ◽  
Urban Emissions

Electrification is a potential solution for transport decarbonization and already widely available for individual and public transport. However, the availability of electrified commercial vehicles like waste collection vehicles is still limited, despite their significant contribution to urban emissions. Moreover, there is a lack of clarity whether electric waste collection vehicles can persist in real world conditions and which system design is required. Therefore, we introduce a multi-agent-based simulation methodology to investigate the technical feasibility and evaluate environmental and economic sustainability of an electrified urban waste collection. We present a synthetic model for waste collection demand on a per-link basis, using open available data. The tour planning is solved by an open-source algorithm as a capacitated vehicle routing problem (CVRP). This generates plausible tours which handle the demand. The generated tours are simulated with an open-source transport simulation (MATSim) for both the diesel and the electric waste collection vehicles. To compare the life cycle costs, we analyze the data using total cost of ownership (TCO). Environmental impacts are evaluated based on a Well-to-Wheel approach. We present a comparison of the two propulsion types for the exemplary use case of Berlin. And we are able to generate a suitable planning to handle Berlin’s waste collection demand using battery electric vehicles only. The TCO calculation reveals that the electrification raises the total operator cost by 16–30%, depending on the scenario and the battery size with conservative assumptions. Furthermore, the greenhouse gas emissions (GHG) can be reduced by 60–99%, depending on the carbon footprint of electric power generation.

Foraging Multi-Agent System Simulation Based on Attachment Theory

2015 ◽  
pp. 359-364 ◽  
Author(s):  
Carlos Alberto Riveros Varela ◽  
Ferney Beltrán Velandia ◽  
Miguel Alberto Melgarejo Rey ◽  
Nadya González Romero ◽  
Nelson Obregón Neira
Keyword(s):  
Attachment Theory ◽  
System Simulation ◽  
Multi Agent System ◽  
Agent System ◽  
Simulation Based ◽  
Multi Agent
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