Social Simulations Through an Agent-Based Platform, Location Data and 3D Models

Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

Geospatial health ◽

10.4081/gh.2016.408 ◽

2016 ◽

Vol 11 (1s) ◽

Cited By ~ 11

Author(s):

Adrian M. Tompkins ◽

Nicky McCreesh

Keyword(s):

Mobile Phone ◽

Malaria Transmission ◽

Gravity Model ◽

Mobile Phone Data ◽

Agent Based ◽

Migration Model ◽

Location Data ◽

Home Location ◽

One Year ◽

Overnight Stays

One year of mobile phone location data from Senegal is analysed to determine the characteristics of journeys that result in an overnight stay, and are thus relevant for malaria transmission. Defining the home location of each person as the place of most frequent calls, it is found that approximately 60% of people who spend nights away from home have regular destinations that are repeatedly visited, although only 10% have 3 or more regular destinations. The number of journeys involving overnight stays peaks at a distance of 50 km, although roughly half of such journeys exceed 100 km. Most visits only involve a stay of one or two nights away from home, with just 4% exceeding one week. A new agent-based migration model is introduced, based on a gravity model adapted to represent overnight journeys. Each agent makes journeys involving overnight stays to either regular or random locations, with journey and destination probabilities taken from the mobile phone dataset. Preliminary simulations show that the agentbased model can approximately reproduce the patterns of migration involving overnight stays.

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Improving emergency evacuation planning with mobile phone location data

Environment and Planning B Urban Analytics and City Science ◽

10.1177/2399808319874805 ◽

2019 ◽

Vol 47 (6) ◽

pp. 964-980 ◽

Cited By ~ 1

Author(s):

Ling Yin ◽

Jie Chen ◽

Hao Zhang ◽

Zhile Yang ◽

Qiao Wan ◽

...

Keyword(s):

Emergency Management ◽

Mobile Phone ◽

Population Distribution ◽

Computation Time ◽

Experimental Result ◽

Evacuation Planning ◽

Agent Based ◽

Knowledge Database ◽

Location Data ◽

Evacuation Plans

Timely responses to emergencies are critical for urban disaster and emergency management, particularly in densely populated mega-cities. Researchers and personnel involved in urban emergency management nowadays rely on computers to carry out complex evacuation planning. Agent-based modeling, which supports the representation of interactions among individuals and between individuals and their environments, has become a major approach to simulating evacuations wherein spatial–temporal dynamics and individual conditions need attention, such as congestion in urban areas. However, the development of optimal evacuation plans based upon agent-based evacuation simulations can be very time-consuming. In this study, to shorten the computation time to provide a timely response in an efficient way, we develop a knowledge database to store evacuation plans for typical population distributions generated by mobile phone location data. Subsequently, we use the prepared knowledge database (offline) to accelerate real-time (online) processes in searching for near-optimal evacuation plans. Our experimental result demonstrates that the evacuation plans generated with a knowledge database always outperform those that are generated without a knowledge database. Specifically, the knowledge database can reduce the computation time by an average of 96.76%, with an average fitness value improvement of 21.86%. This result confirms the effectiveness of our proposed approach in improving agent-based evacuation planning. With the rapid development of human sensor data collection and analysis, the estimation of a more accurate population distribution will become easier in future. Thus, we believe that the proposed approach of developing a knowledge database based on population distribution patterns will provide a more feasible alternative solution for evacuation planning in the practice of urban emergency management.

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An Agent Based Framework to Automatically Generate 3D CAD Models of Customer Specified Products

Volume 1: 23rd Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2003/cie-48227 ◽

2003 ◽

Author(s):

Zahed Siddique ◽

Karunakar Reddy Boddu

Keyword(s):

Mass Customization ◽

3D Model ◽

Product Information ◽

3D Models ◽

The Internet ◽

Agent Based ◽

User Input ◽

3D Cad ◽

Design And Manufacturing ◽

Cad Models

To survive in today’s volatile market, companies are striving to deliver greater quality, more customization, faster response, more innovative designs and lower prices. The new shift in the current market has introduced the concept of mass customization. One of the aspects of mass customization is to provide customers with products that are manufactured to their needs and requirements. To provide such a support requires better integration of customer with different stages of design and manufacturing. Expansion of the Internet provides an opportunity for such an integration, which will need to link design and manufacturing of the company with the customer. In current approaches, customer usually specifies the options and gets the price or simple pictures of the object. In this paper a system is presented, where customer options and size parameters are gathered using the Internet and is used to automatically generate 3D CAD model of the product and then display the 3D model to the customer for feedback. Development of a framework to generate 3D models from user input will require maintaining explicit correspondence among various types of product information from a module perspective. The Internet based system presented in this paper uses templates to automatically generate 3D CAD models of components, assemble them into products and then export VRML files that are displayed to the customer.

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POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-v-4-2021-113-2021 ◽

2021 ◽

Vol V-4-2021 ◽

pp. 113-120

Author(s):

S. Nikoohemat ◽

P. Godoy ◽

N. Valkhoff ◽

M. Wouters - van Leeuwen ◽

R. Voûte ◽

...

Keyword(s):

Point Clouds ◽

3D Models ◽

Raw Material ◽

Agent Based ◽

Social Distancing ◽

Information Models ◽

Mapping System ◽

Agent Based Simulations ◽

Building Information ◽

Mobile Mapping System

Abstract. Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.Link to the video: https://youtu.be/r2D3IxXt7Ls

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Three-dimensional Modeling of Digital analogs of Urban Systems using an Agent-based Approach

Artificial Societies ◽

10.18254/s207751800014638-0 ◽

2021 ◽

Vol 16 (2) ◽

pp. 0

Author(s):

Alina Ageeva

Keyword(s):

3D Visualization ◽

Three Dimensional ◽

3D Models ◽

Urban Systems ◽

City Management ◽

Agent Based Models ◽

Agent Based ◽

Three Dimensional Modeling ◽

Digital Ecosystem ◽

Dimensional Modeling

This article highlights the issues of creating 3D models of urban systems using an agent-based approach according to the implementation of the concept of a "smart city" and building a digital ecosystem for "smart" city management. The issues of creating digital models of cities used as a virtual environment for agent-based models of urban systems are overviewed. The main approaches to the creation of 3D agent-based models (with the functions of three-dimensional data analysis) to simulate various aspects of urban processes are listed. Conclusions about the reasons for the existing lack of attention of researchers to the issues of 3D visualization of agent-based models are presented.

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Total etch dentin bonding systems: scanning electron microscopy of the resin-dentin hybrid layer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130092 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1092-1093

Author(s):

Jorge Perdigao

Keyword(s):

Composite Resin ◽

Mechanical Interlocking ◽

Hybrid Layer ◽

Agent Based ◽

Dentin Bonding ◽

Acid Agent ◽

Bond Strengths ◽

Main Component ◽

Bonding Systems ◽

New Generation

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.

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