Cooperative V2X-Based Intersection Assistance to Increase Awareness of Vulnerable Road Users: A Data-Driven Proof of Concept

Author:   Jan Niklas Puller
Publisher:   Springer Fachmedien Wiesbaden
ISBN:  

9783658514310


Pages:   132
Publication Date:   04 September 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Cooperative V2X-Based Intersection Assistance to Increase Awareness of Vulnerable Road Users: A Data-Driven Proof of Concept


Overview

Jan Niklas Puller presents a proof of concept for a V2X-based intersection assistance system that enables drivers to avoid potential collisions with vulnerable road users, especially cyclists, at urban intersections. The work integrates cooperative communication and accident data analysis to develop a functioning prototype that actively raises driver awareness of possible conflicts at an early stage. An innovative combination of predictive algorithms and a dedicated human–machine interface supports timely, intuitive driver intervention. The results give an outlook on how such cooperative safety functions can be implemented in series vehicles in the future.

Full Product Details

Author:   Jan Niklas Puller
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Fachmedien Wiesbaden
ISBN:  

9783658514310


ISBN 10:   3658514310
Pages:   132
Publication Date:   04 September 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Author Information

Jan Niklas Puller studied Mechanical Engineering and Automotive Engineering at RWTH Aachen University. He began his career in software development for research and pre-development projects in the automotive domain. While at Volkswagen AG, he completed an industry PhD in collaboration with Tor Vergata University in Rome. He is currently a data scientist at MOIA, focusing on autonomous driving fleet data.

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