Ads Network Monitoring Integrating Realistic Urban Mobility Patterns

Smart Cities and outdoor advertising open new opportunities and important markets. For that purpose, the understanding of the citizens mobility may be highly helpful. Indeed, their mobility and the monitoring of their personal interests can be a way of recommending specific advertising. We herein propose a new billboard system based on monitoring techniques and realistic mobility patterns. Our objective is to define a realistic urban mobility patterns to be mapped with sensing/monitoring ads networks. We aim at improving the way of monitoring the citizens interests, displaying ads by understanding the users mobility in this context of urban ads network. We modeled and implemented our approach and simulated it through an agent based platform. Interesting results are analyzed and discussed.