Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess

TL;DR

The HDV-Mess project develops a mobile modular system for highly accurate traffic data collection to support the development of automated driving technologies and sensor validation.

Contribution

It introduces a novel concept of mobile modular intelligent transport systems stations for precise traffic event recording and data processing.

Findings

Design of a mobile modular measurement system

Effective data processing pipeline for traffic trajectories

Validation of high-accuracy traffic data collection methods

Abstract

The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public roads. The goal is to record traffic events at various relevant locations with high accuracy and to collect real traffic data as a basis for the development and validation of current and future sensor technologies as well as automated driving functions. For this purpose, it is necessary to develop a concept for a mobile modular system of measuring stations for highly accurate traffic data acquisition, which enables a temporary installation of a sensor and communication infrastructure at different locations. Within this paper, we first discuss the project goals before we present our traffic detection concept using mobile modular intelligent transport systems stations (ITS-Ss). We then explain the approaches for data processing of sensor raw data to refined trajectories, data communication, and data validation.