Ads network monitoring integrating realistic Urban mobility patterns

Smart Cities and outdoor advertising open newopportunities and important markets. For that purpose, theunderstanding of the citizens mobility may be highly helpful. Indeed, their mobility and the monitoring of their personalinterests can be a way of recommending specific advertising. We herein propose a new billboard system based on monitoringtechniques and realistic mobility patterns. Our objective isto define a realistic urban mobility patterns to be mappedwith sensing/monitoring ads networks. We aim at improvingthe way of monitoring the citizens interests, displaying adsby understanding the users mobility in this context of urbanads network. We modeled and implemented our approachand simulated it through an agent based platform. Interestingresults are analyzed and discussed.