Data-Driven Analysis for Road Traffic Conditions Using Digital Tachograph Data

Abstract

Traffic condition analysis requires various conditions to be met using the conventional method. This has the limitation that it does not reflect the congestion caused by the actual vehicle flow. In this study, we suggest data-based traffic condition analysis. This is a method of determining the dynamic traffic conditions using Digital TachoGraph data, which can reflect the flow rate and the traveling speed of vehicles by the actual time zone. The suggested system could be implemented in both public and private sectors to create new possibilities and insights. For the public sector, police patrol vehicles can implement the system to create a ‘dynamic service area’ which would enhance efficiency for security patrols. For private sectors, the system could be applied to various call-dispatch systems to minimize waiting time for customers and driving distance for drivers. Also, it could be applied to upcoming autonomous vehicle sharing systems to ensure maximum coverage for autonomous cars.

Keywords

• Digital TachoGraph (DTG)
• traffic analysis
• data-driven analysis