Thesis supervisor: Csaba Csiszár
Location of studies (in Hungarian): Department of Transportation Technology and Economics Abbreviation of location of studies: KUKG
Description of the research topic:
Detailed description of topic:
a) Antecedents:
Organization and influence of mobility demands, decisions (e.g. mode and route choice) and passenger transportation can be improved significantly by application of advanced ICT. The key challenge: optimization of resources with consideration to expectations of participants. Autonomous vehicles (AVs) and Shared Mobility are to be mentioned as related concepts, combination of them facilitates development of Smart City.
b) Aim of research:
Revealing of (sub)systems, processes and services of/in smart transportation and their interactions. To explore and model information systems, to reveal new correspondences between future mobility and information systems, to facilitate planning, implementation and operation of future integrated mobility services. This analytical approach facilitates the identification of cost elements, information management properties, the improvement/optimization opportunities, as well as decision making support. Modelling from several aspects (infrastructure/service process related ones) for the envisaged, AV-based mobility services are main tasks of research activities.
c) Tasks to be performed, their main elements, time requirement:
1. year • Identification and multicriteria comparison of best practices and their background in the reference countries (e.g. South America, Central Europe)
• Identification of data sources (measurements, surveys, etc.), application of data mining methods (e.g. statistical analysis methods) in order to reveal the correlations
• Elaboration of new personalized information services. Special attention on quality of mobility services, infrastructure related charging and parking issues of above systems.
2. year • Revealing the components and their connections of information system for analysed mobility systems (structural and data modelling)
• Revealing/analysis of processes and their logical/temporal interactions of main system components (operational modelling)
3. year • Elaboration of new general methods/models regarding decisions and/or operations (travellers, operators, etc.) to achieve better quality of mobility services
• Adaptation and application of the methods/models for several regions (cities) considering the differences and similarities (multicriteria analysis)
• Refinement of methods/models, calibration, validation and verification
4. year • Synthesize the results
• Continuous improvement/development of results
• Preparation of dissertation
d) Required equipment:
Computer laboratory and all software of department are available for research purposes.
e) Expected scientific results:
Development and improvement of analysis, planning, operation and decision-making methods in smart city (smart transportation) subsystems focusing on potentials of ICT; extension with theoretical and practical knowledge.
2 papers in the journals with Impact Factor that are registered in Web of Science database
2 conference papers published in international conference proceedings
f) Literature: scientific papers in the following topics: data mining, database management, support of decision-making, travel analysis, economic analysis, ITS systems, analysis of travellers’ behaviour, artificial intelligence, multicriteria analysis, etc.
Required language skills: English medium level language Recommended language skills (in Hungarian): French or German basic level Further requirements: good knowledge (comprehensively and in details) in informatics and passenger transportation systems, knowledge of basic rules/methods regarding research and preparation of publications.