Demo: Agent-Based Crowdsensing Simulation for Urban Meteorological Data Collection and Hybrid Aerial-Terrestrial Route Determination

Jose A. Gonzalez Nuñez, Mustafa Ilhan Akbas

Abstract: This demonstration paper presents a study on the development of a simulation testbed for meteorological data collection using crowdsensing, implemented by agent-based modeling and simulation. In addition to the data collection, the testbed integrates the collected data into a separate simulation model to determine the best hybrid aerial-terrestrial routes in a city for user mobility. The testbed allows fast and user friendly implementation of any strategy. The demonstration explores the design and implementation of the testbed, and discusses the potential benefits and challenges of this integrated approach.