Scalable Transportation Monitoring using the Smartphone Road Monitoring (SRoM) System

Our quest for ubiquitous Intelligent Transportation Systems (ITS) is simply infeasible over proprietary systems. In a time of abundant smart devices, it is impractical to consider developing competing proprietary monitoring systems to collect information for ITS operation. We argue for utilizing smartphones to present a driver and road monitoring system capable of scaling to the number of drivers without incurring high implementation costs, thus allowing for safer driving conditions and shorter accident response times. We propose the Smartphone Road Monitoring (SRoM) system that is capable of sensing road artifacts such as potholes and slippery roads. The information is collected through crowdsourcing and processed by base stations, giving faster and more accurate responses compared to current systems, to address road safety related events in a timely manner. It is also capable of detecting aberrant driver behavior such as speeding and drifting. SRoM uses both the driver’s smartphon...

• Type: Journal
• Year: 2015
• Where: MSWIM
• Authors: Sam Aleyadeh, Sharief M. A. Oteafy, Hossam S. Hassanein
• Keywords: Modeling And Simulation, MSWIM 2015