C5.4 - Test Plan of Collision Warning for Road Traffic in Smart Cities

Event
22. GMA/ITG-Fachtagung Sensoren und Messsysteme 2024
2024-06-11 - 2024-06-12
Nürnberg
Band
Vorträge
Chapter
C5 - Sicherheit, Betriebssicherheit
Author(s)
M. Schlotter - T-Systems International GmbH,Leinfelden-Echterdingen, M. Mousavi, S. Ludwig - Hochschule Aalen,Aalen, C. Cammin - Helmut-Schmidt-Universität,Hamburg, C. Beutelspacher - Zentrum für Digitale Entwicklung GmbH,Westhausen
Pages
288 - 295
DOI
10.5162/sensoren2024/C5.4
ISBN
978-3-910600-01-0
Price
free

Abstract

Urban road traffic comprises many different road users like heavy trucks, buses, individual cars, motorbikes, (E-)bikes, and pedestrians. The latter are among the vulnerable road users (VRUs), whose safety and protection on the road are of special social interest. Since it can be assumed that not all vehicles will be equipped with comprehensive sensor technology, such as the kind that is required for autonomous driving in the next few years, and since such technology is hardly feasible for VRUs, appropriate infrastructure-based sensor technology will have to be used to detect critical traffic situations. Special cameras with integrated image analysis for data protection-compliant recognition in combination with a mobile 5G-based cloud application and smartphone apps are suggested for this task. If there are potential collisions, timely collision warnings have to be received by the road users and VRUs. A test plan for evaluating the collision warning system for a complete end-to-end (E2E) system test is defined during the planning phase of the project 5G-trAAffic that includes both functionality and accuracy tests is described in this paper. The tests show that there is a significant difference in the precision between several types of smartphones and applications that are used. The complementary algorithm and processing to get the best performance and the best accuracy should be implemented in general cases including several types of smart phones.

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