A Flow Based Architecture for Efficient Distribution of Vehicular Information in Smart Cities

Abstract

The Introduction of the Internet of Things has made the vision of “Smart Cities” a very reachable goal. Aggregating data from a wealth of sensors throughout a city, with the aim of improving quality of life for its dwellers has become a major focus for city developers. The automotive sector is in prime position to play a pivotal role in the success of Smart Cities. Vehicle Telematics, the process of gathering and transmitting Geo-Enriched vehicle data, is seen as a key enabler in improving mobility in urban areas. Modern vehicles generate up to 5GB an hour, with newer models generating far more. How this data is to be processed and transmitted is a hotly researched topic. This work focuses on raw vehicle data extraction and the valuable insights it holds in terms of fuel consumption and driver behaviour. Data is extracted and distributed from the vehicle using a novel architecture consisting of the FMS standard and a Flow Based Programming inspired approach. Road Side Units (RSUs) are set to play a key role in the area of vehicle communication in urban areas. This work will evaluate the level of governance the RSUs can achieve in Vehicle-to-Infrastructure (V2I) scenarios.