A Long-Distance Smart Driving Service Based on Floating Car Data and Open Data

Abstract

The purpose of this manuscript is to present the Smart Driving Service (SDS), a customized mobile application, and a complex microservices framework intended not only for professional drivers but also for novel people who need help during the driving time in their long-distance journeys. The European regulation on driving times, breaks and rest periods for drivers engaged in the carriage of freight is implemented in the system. Additionally, it is necessary to have a feedback report to detect the behavior of drivers and what to do differently to improve driving. This issue is addressed by implementing a Route Performance Index (RPI) to measure the driver compliance. The proposed service has been running in a production stage for 6 months with a reduction in consumption of 2 liters/100 km. Considering that the company runs more than 100M km per year, the savings in fuel are relevant apart from the environmental impact reduction.

Keywords

• Driver assistance
• route navigation
• floating car data
• telemetry
• truck sensors
• open data