Agent Based Freight Distribution System

2002 ◽  
pp. 109-119
Author(s):  
Nagase Akihiro ◽  
Kobayashi Shin-Ya ◽  
Yamda Hiroyuki
Keyword(s):  
Distribution System ◽  
Agent Based

scholarly journals An agent-based modeling framework for sociotechnical simulation of water distribution contamination events

2013 ◽  
Vol 15 (3) ◽  
pp. 862-880 ◽  
Author(s):  
M. Ehsan Shafiee ◽  
Emily M. Zechman
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Large Population ◽  
Water Distribution Network ◽  
Contaminant Plume ◽  
Modeling Framework ◽  
Agent Based ◽  
Water Demands ◽  
Demand Patterns

In the event that a contaminant is introduced to a water distribution network, a large population of consumers may risk exposure. Selecting mitigation actions to protect public health may be difficult, as contamination is a poorly predictable dynamic event. Consumers who become aware of an event may select protective actions to change their water demands from typical demand patterns, and new hydraulic conditions can arise that differ from conditions that would be predicted when demands are considered as exogenous inputs. Consequently, the movement of the contaminant plume in the pipe network may shift from its expected trajectory. A sociotechnical model is developed here to integrate agent-based models of consumers with an engineering water distribution system model and capture the dynamics between consumer behaviors and the water distribution system for predicting contaminant transport and public exposure. Consumers are simulated as agents with behaviors, including movement, water consumption, exposure, reduction in demands, and communication with other agents. As consumers decrease their water use, the location of the contaminant plume is updated and the amount of contaminant consumed by each agent is calculated. The framework is tested through simulating realistic contamination scenarios for a virtual city and water distribution system.

scholarly journals Two-Phase Exponential Model of Wealth Distribution

2020 ◽  
Vol 58 (1) ◽  
pp. 33-52
Author(s):  
Ognjen Radović ◽  
Zoran Tomić ◽  
Jelena Z. Stanković
Keyword(s):  
Exponential Function ◽  
Distribution System ◽  
Statistical Physics ◽  
Wealth Distribution ◽  
Exponential Model ◽  
Pareto Principle ◽  
Function Model ◽  
Two Phase ◽  
Agent Based ◽  
Scientific Fields

AbstractThe topic of wealth and money distribution attracts great attention of economists, as well as researchers from other scientific fields, such as statistical physics and econophysics. An increasing number of models and simulations are being created in order to understand the process of wealth distribution and reaching the steady state of the distribution system. Also, the number of papers dealing with analysis and determining the distribution proportion is constantly growing, and, unlike the previous years, when the Pareto principle was “80-20”, today that principle could be “90-10”and even “90-20”. In this paper we present an agent-based simulation model derived from econophysics that describes the dynamics of wealth distribution. Two models of exponential function are tested: a one-phase model that uses the Newton’s law of cooling and a two-phase exponential function model. We found that exponential decreasing function adequately described the dynamics of wealth distribution, especially in the models without the possibility of borrowing money, and the validity of the Pareto principle “80-20” in these models could be confirmed.

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