Thesis topic proposal
Zsolt Szalay
Methodology of highly automated and autonomous road vehicle testing from the perspective of the test track and related simulation technologies


Institute: Budapest University of Technology and Economics
transportation and vehicle engineering
Kálmán Kandó Doctoral School of Transportation and Vehicle Engineering

Thesis supervisor: Zsolt Szalay
co-supervisor: Viktor Roland Tihanyi
Location of studies (in Hungarian): Department of Automotive Technologies
Abbreviation of location of studies: GJT

Description of the research topic:

a) Background:
In the coming decades the classical transport system will transform continuously towards to a highly automatized system. Furthermore, autonomous vehicles that are currently under development and testing are soon to be introduced to public roads. These vehicles will form a special class of vehicles in the traffic. Accordingly, the operation of the driverless cars and their effect on traffic must be researched, tested and proofed by considering a proper methodology.

b) Goal of research:
The development process which is induced by the appearance of the highly automated and autonomous cars, also means that testing of these vehicles is extremely important.
Accordingly, the research focuses on the following fields:
- Development process of test track for highly automated and autonomous road vehicle testing
- Methodology and applicability of the Vehicle-in-the-Loop and Scenario-in-the-Loop testing frameworks

c) Main tasks of research:
• State-of-the-art literature research: test track configuration, vehicle simulation, vehicle testing etc.
• Modeling and simulation of autonomous vehicles
• Research of methodology for highly automated and autonomous road vehicle testing
• Analysis, test and validation of the developed models and algorithms on the ZalaZONE test track

d) HW/SW tools provided for research:
• PC,
• MATLAB, PreScan, Vires, IPG CarMaker, SUMO

e) Minimum expected scientific results:
• 3 papers in international SCI indexed journals (at least 1 with impact factor)
• 3 articles in international conference papers

f) Bibliography:
• Fagnant, D.J. and Kockelman, K.M. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations", Transportation Research Part A: Policy and Practice, 77, pp. 167-181, 2015. https://doi.org/10.1016/j.tra.2015.04.003
• Szalay, Z., Nyerges, Ádám, Hamar, Z. and Hesz, M. "Technical Specification Methodology for an Automotive Proving Ground Dedicated to Connected and Automated Vehicles", Periodica Polytechnica Transportation Engineering, 45(3), pp. 168-174, 2017. https://doi.org/10.3311/PPtr.10708
• T. Tettamanti, I. Varga, Zs. Szalay: Impacts of autonomous cars from a traffic engineering perspective, Periodica Polytechnica ser. Transp. Eng., 2016, Vol. 44. No.4. pp. 244-250, http://dx.doi.org/10.3311/PPtr.9464

Required language skills: English
Further requirements: 
• Proper knowledge of control theory and vehicle engineering
• Advanced skills of informatics: Microsoft Office, basic programming (e.g. C/C#/Python), MATLAB

Number of students who can be accepted: 1

Deadline for application: 2019-12-26

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )