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:
The road traffic modeling and control has great tradition in science. At the same time, due to the spreading development of information technology the topic became again very important. Big data information is also relevant concerning the transportation processes. Accordingly, the proper use of data mining and artificial intelligence opens new ways for traffic modeling and estimation.
b) Goal of research:
The goal of research is to create advanced modeling by applying multi-level approach for urban road traffic network. Accordingly, the analysis of advanced measurement and estimation methods (e.g. Kalman Filter, data fusion, deep learning) is needed during the research, which van be potentially used for multi-level modeling.
Moreover, the research will consist of the applicability of artificial intelligence in road traffic with special focus on intelligent transport systems and automated/autonomous vehicle technologies.
c) Main tasks of research:
• State-of-the-art research.
• Traffic modeling theory.
• Urban road traffic modeling and simulation.
• Research about advanced traffic measurement and estimation
• Development of advanced modeling applying multi-level approach for urban road traffic network.
• Application of artificial intelligence (e.g. deep learning) for traffic estimation and control
• Testing and validation of the developed models an algorithms.
e) Minimum expected scientific results:
• 2 articles in refereed international journal with SCI index,
• 3 articles in international conference proceedings.
Required language skills: English Further requirements: • Proper knowledge of control theory
• Advanced skills of informatics: Microsoft Office, basic programming (e.g. Java/C/C++/C#/Python), Matlab
Number of students who can be accepted: 1
Deadline for application: 2019-04-11
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).
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