Szilassy Péter Ákos

Szilassy Péter Ákos
Budapest University of Technology and Economics · Department of Transport Technology and Economics

Master of Engineering

About

9
Publications
291
Reads
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12
Citations
Citations since 2017
9 Research Items
12 Citations
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201720182019202020212022202301234567
201720182019202020212022202301234567
201720182019202020212022202301234567
Introduction
I am a PhD student at the BME Department of Transport Technology and Economics. Besides, I am working as transportation system engineer at Institute for Transport Sciences, Budapest. My research focuses on the operation of electric buses and trolleybuses. In my research, I want to determine the needed number and operating characteristics of the vehicles on the network using transport demand-based system design methods.
Additional affiliations
July 2022 - present
KTI Institute for Transport Sciences Nonprofit Ltd.
Position
  • Professional advisor
September 2021 - June 2022
Hungarian National Data Economy Knowledge Centre
Position
  • Transportation engineer - Project designer
Description
  • Preparation and planning of smart city and intelligent transport system development (ITS) projects for urban and suburban transport
February 2019 - June 2020
Budapest University of Technology and Economics
Position
  • PhD Student
Description
  • Title of my research: Research on the design methodology of intelligent vehicle control systems based on artificial intelligence, taking into account the effect of regulating local traffic
Education
February 2015 - January 2017
Budapest University of Technology and Economics
Field of study
  • Vehicle Mechatronics
September 2011 - January 2015
Budapest University of Technology and Economics
Field of study
  • Mechatronics

Publications

Publications (9)
Article
Though the battery capacity is increasing, in day-to-day operation, battery-electric buses (BEB) are still not able to replace buses with combustion engine one by one. Determining the best option to purchase or the daily operation of a BEB requires consumption estimation. Generally, the consumption is calculated using real data from test runs; howe...
Conference Paper
Regulatory environment in the EU already mandates public transport providers (PTP) to detail their cost accounting to the level of each line they operate. Models used, however, fail to utilise the level of precision state of the art technology would allow for; therefore, state-owned providers become uncompetitive. Implementing new technologies such...
Article
Full-text available
As the global trend of people moving into cities ensues, local governments are evermore pressured to keep improving their services while serving a rising number of customers. The quality of life perceived by city dwellers, however, is influenced by a composition of all services they use, regardless of its public or private nature. Alternatively, re...
Conference Paper
Full-text available
Megfelelőségi mutató meghatározásának módszere az útvonalhoz legmegfelelőbb elektromos autóbusz kiválasztásához 673 Megfelelőségi mutató meghatározásának módszere az útvonalhoz legmegfelelőbb elektromos autóbusz kiválasztásához / Method of determining the compliance indicator for selecting the most suitable electric bus for a given route Szilassy P...
Chapter
Full-text available
Electric busses are spreading in cities in hope of mitigating local air pollution. Currently, battery electric busses are more expensive and require novel operational methods to optimize their use (e.g., applying daytime charging, and operating trolleybuses). Despite these, the electrification of urban busses is usually ad-hoc, preliminary planning...
Article
Az elektromos autóbuszok alkalmazhatósága korlátozott; az energiafogyasztást számos tényező befolyásolja. Számítási módszert dolgoztunk ki a hajtáslánc és a segédüzemi berendezések fogyasztásbecsléséhez vonali jellemzők és a külső hőmérséklet figyelembevételével. A módszer az elektromos autóbuszok útvonal szakaszaira vonatkoztatott energiaigényének...
Article
Full-text available
The paper proposes the design of a neural-network-based control strategy of autonomous vehicles in intersections. The motivation of the neural network approach is to reduce the numerically-intensive computation of the optimization problem in which the motions of autonomous vehicles are formed. In the method the neural network is trained through a p...

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