Thesis supervisor: István Varga
Location of studies (in Hungarian): Dept. of Control for Transportation and Vehicle Systems Abbreviation of location of studies: KJIT
Description of the research topic:
a) Background:
Future mobility is about to change. On the one hand, major technological advances are being made in driver assistance systems and vehicle automation. On the other hand, the digitalisation and automation of infrastructure is also taking off, following the trends in vehicle development. The development of vehicle-to-infrastructure communication systems and flexible traffic light management systems are essential for self-driving cars’ development. At present, the EU infrastructure is not yet ready to receive autonomous vehicles and therefore a safe test environment is needed, such as the Hungarian ZalaZONE Automotive Proving Ground.
b) Goal of research:
The aim of the research is to create a flexible traffic management system that allows car manufacturers and their suppliers to test their driver assistance and self-driving features in a closed, safe environment. The motivation for creating a unique traffic management system is that testing will involve the control of extreme situations that do not occur during the normal operation of road traffic management equipment, but which could potentially lead to an accident situation to which a self-driving vehicle would have to respond appropriately.
c) Main tasks of research:
• Literature review
• Implementation of PLC-based traffic light control to guarantee safety-critical operation
• Development of cloud-based traffic control center software
• Support of various network interfaces and communication protocols with the system
• Implementation of a freely programmable embedded system
• Extensive testing
• Dissertation writing
d) HW/SW tools provided for research:
• WAGO e!COCKPIT
• WAGO PLC
• YUNEX traffic signal heads
e) Minimum expected scientific results:
• Three papers in international SCI indexed journals with impact factor.
• Three articles in international conference papers.
f) Bibliography:
• Hao Yi Vincent Bonneau. Autonomous cars: a big opportunity for European industry. Digital Transformation, Monitor, 2017.
• Paul Gao, Hans-Werner Kaas, Detlev Mohr, and Dominik Wee. Automotive Revolution – perspective towards, 2030, Jan 2016.
Required language skills: English (min. medium level) Further requirements: control theory and informatics (with high level programming skills)
Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
