Thesis supervisor: Tamás Tettamanti
Location of studies (in Hungarian): Department of Control for Transportation and Vehicle Systems Abbreviation of location of studies: KJIT
Description of the research topic:
a) Background:
Emerging infocommunication and vehicle automation facilitate evolvement of urban automated public transportation. Hence, the entire transport system and the operation undergo a major change. There are already significant results in road vehicle control automation. New service concepts raise, and the existing modes transform. However, the transformation needs more investigation. In the coming decades, automation of public transport vehicles will show great potentials considering operational, and splanning issues as well as vehicle and traffic control.
b) Goal of research:
The goal of the research is twofold. Firstly, a thorough analysis and evaluation must be carried out by using microscopic traffic simulators in order to understand the main impacts and potentials of autonomous public vehicles on network mobility in all. Secondly, different traffic control algorithms must be developed with focus on autonomous public transport vehicles and dynamic road pricing.
Research of advanced modeling, control and estimation methods are also intended. Application of traffic modeling, autonomous vehicles and public transport technologies (e.g. V2I/V2V, platooning, signalized intersection control) is expected.
c) Main tasks of research:
• State-of-the-art literature research: modern control theory, traffic modeling etc.
• Detailed assessment (modeling and simulation) of urban traffic network with autonomous public transport.
• Research of modeling and control problems of public transport vehicles via dynamic road pricing.
• Analysis, test and validation of the developed models and control algorithms using measurements or simulation results.
e) Minimum expected scientific results:
• Two papers in international SCI indexed journals.
• Three articles in international conference papers.
f) Bibliography:
• T. Tettamanti, I. Varga, B. Kulcsár, T. Péni, and T. Luspay. Robust control for urban road traffic networks. IEEE Transactions on Intelligent Transportation Systems, Vol. 15(1), pp. 385-398 doi: http://dx.doi.org/10.1109/TITS.2013.2281666, 2014
• A. Csikós, T. Tettamanti, I. Varga: Nonlinear gating control for urban road traffic network using the network fundamental diagram, Journal of Advanced Transportation, 2014, http://onlinelibrary.wiley.com/doi/10.1002/atr.1291/full
• 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
• https://www.mathworks.com/help/control/
Required language skills: English: proficient user Further requirements: • Proper knowledge of control theory
• Advanced skills of informatics: Microsoft Office, basic programming (e.g. Java/C/C++/C#/Python), Matlab
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