Facilitating safe vehicle routing in smart cities

Advances in the Internet of Things (IoT) infrastructures are enabling the gathering, processing and inference of a wide array of data, enabling more agile decision management frameworks in several contexts, including vehicle routing and navigation. Coupled with crowd-sensing, these decision management frameworks gain further advantage in terms of data availability. This work concerns itself with safety in vehicle routing given different data modes. Specifically, we consider the design of an IoT framework for smart cities that facilitates robust safety-based routing for vehicles.