Origin-Destination Tracking Analysis of an Intelligent Transit Bus System using Internet of Things

There is a dramatic increase in the deployment of Internet of Things (IoT) devices in the last couple of years. In Intelligent Transportation Systems (ITS), we introduced a cyber-physical system that monitors the quality of service (QoS) for transit buses around a mid-size university city using Internet of Things (IoT). The sensing IoT devices detected the number of riders waiting for the bus system at each bus station. The experiments ran for six weeks continuously to monitor seven different bus stations around the university. The collected data reports the number of people waiting for the bus at each station, the wait time for a particular bus station at different time/day(s). In this paper, we analyze the collected data for the various bus stations and the origin/destination of some riders who used one of the seven stations as origin and destination stations. Also, several security measurements have been added to address privacy concerns that might occur with the collection, transmission, and storage of data in the Cloud (e.g., the privacy of the ridership Media Access Control (MAC) addresses and tracking of a particular bus rider in the system). We implement security measurements to emphasize the privacy protection of bus riders.