Data Driven Analysis of Road Infrastructure for Automotive Subsystems

Road infrastructure has a significant impact on the performance of the truck components which includes ATS & turbocharger. Therefore, it is important for research and development teams to analyze the road infrastructure of the region in which trucks are going to be operated in the future, this helps the teams to make decision on component specification which will exactly cater the customer need in those regions and suggest the optimal design of the component. This paper shows a method to summarize and visualize the road infrastructure particularly focusing on length of road segment and its elevation profile distribution and other is an analysis on continuous road segments (without intersections) and their truck speed limit which will help engineers to identify critical routes & locations in those regions and choose precise parameters for their system using statistical data driven approach. This paper uses OpenStreetMap and Digital Elevation Models for elevation from open-source data for this analysis particularly the road information from the OSM PBF files. In the results section of this paper, complete method is demonstrated with example of Stuttgart, Germany region. The purpose of this paper is to demonstrate the proposed methodology to use road infrastructure data and develop meaningful insights from it which can be useful for research and development actives for understanding product requirements.