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, significant technological improvements have been achieved in the field of driver assistance systems and vehicle automation. On the other hand, car ownership is changing from individual to collective ownership. Both factors will have an impact on congestion, parking spot occupation, energy source supply and urban traffic. A key question is, how to prepare infrastructure for the new forms of mobility. Major improvement in intelligent mobility management have to be made to keep track of the fast-changing environment. Accordingly, significant improvements in intelligent mobility management are needed to keep track of a rapidly changing environment in which the passenger no longer necessarily travels in a single vehicle, but in a chain of vehicles (modes of transport).
b) Goal of research:
The research aims at modeling and optimal implementation of future multi-modal mobility in urban environments, with a special focus on the capabilities of automated vehicle technologies and the applicability of "big data" (e.g., social media). The aim is to build a multi-modal transport model that can simulate all major aspects of urban transport (individual transport, shared vehicles, public transport, parking, V2V communication) under a variety of conditions. In addition to modeling, optimal control aspects of multi-modal urban transport will be investigated by developing different classical and/or data-driven control solutions.
c) Main tasks of research:
• Literature review
• Identify future mobility demand and possibilities for urban management
• Build a general simulation environment
• Modification of this environment with potential management techniques under the conditions of various technological adaptations
• Extensive testing
• Dissertation writing
e) Minimum expected scientific results:
• Three papers in international SCI indexed journals with impact factor.
• Three articles in international conference papers.
f) Bibliography:
• Greenblatt, J. B., Shaheen, S. (2015). Automated vehicles, on-demand mobility, and environ-mental impacts. Current sustainable/renewable energy reports, 2(3), 74-81.
• de Almeida Correia, G. H., van Arem, B. (2016). Solving the User Optimum Privately OwnedAutomated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts ofself-driving vehicles on urban mobility. Transportation Research Part B: Methodological, 87,64-88.
• Fagnant, D. J.,Kockelman, K. M. (2014). The travel and environmental implications ofshared autonomous vehicles, using agent-based model scenarios. Transportation Research PartC: Emerging Technologies, 40, 1-13.
Required language skills: English (min. medium level) Further requirements: proper knowledge of control theory and informatics (basic programming)
Number of students who can be accepted: 1
Deadline for application: 2024-03-31
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).
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