Thesis topic proposal
Tamás Tettamanti
Shifting from classical towards autonomous transportation system – modeling and control issues of road traffic networks


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

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:
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 composition, and their effect on traffic flow is a topic worthy of research. In the coming decades the classical transport system will transform continuously towards to a highly automatized system. In the transition period the traffic will be heterogeneous (human and robotic drivers together, as well as pedestrians). The proper control is a great challenge to tackle the traffic management problems during this heterogonous period.

b) Goal of research:
The goal of the research is twofold:
1. Complex analysis of the impact of autonomous vehicles on traffic flow must be, i.e. when classical and driverless vehicles, as well as pedestrians are present as well.
2. Research of possible traffic control algorithms with special focus on the heterogeneous road transport.
Mainly, realistic traffic flow models must be developed which can capture the effect of autonomous vehicles and suitable for advanced traffic control applications (private and public autonomous transport, V2I/V2V technology, platooning, autonomous signalized intersection control).

c) Main tasks of research:
• State-of-the-art literature research: modern control theory, traffic modeling etc.
• Modeling and simulation of urban traffic network considering the impact of autonomous vehicles.
• Research of modeling and control for heterogeneous transport (autonomous and classical vehicles).
• Analysis, test and validation of the developed models and control algorithms using measurements or simulation results.

d) HW/SW tools provided for research:
• PC,

e) Minimum expected scientific results:
• 2 papers in international SCI indexed journals.
• 3 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

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

Number of students who can be accepted: 1

Deadline for application: 2018-06-27

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. )