Identifying Relationships in Vehicular Sensor Data: A Case Study and Characterization

Abstract

Many technologies have been developed to provide effective opportunities to enhance the safety of roads and improve transportation system. In face of that, the concept of Vehicular Ad-Hoc Networks (VANET) was introduced to provide intelligent transportation systems. In this work, we propose the use of an OBD Bluetooth adapter and a smartphone to gather data from two cars, then we analyze the relationships between RPM and speed data to identify if this reflects the vehicle's current gear. As a result, we found a coefficient that indicates the behavior of each gear along the time in a trace. We conclude that these analysis, although in the beginning, suggests a way to determine the gear state. Therefore, many services can be developed using this information as, recommendation of gear shift time, eco-driving support, security patterns and entertainment applications.