Sinteza visoko-rezolucijskih voznih ciklusa po segmentima autobusnih ruta temeljena na Markovljevim lancima

master's thesis

• Title (english): Markov chain-based synthesis of high-resolution driving cycles over bus route segments
• Author: Zvonimir Dabčević
• Mentor: Branimir Škugor (mentor)
• Mentor: Joško Deur (komentor)
• Committee member: Suzana Jakovljević (predsjednik povjerenstva)
• Committee member: Miro Hegedić (član povjerenstva)
• Committee member: Tihomir Opetuk (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2022-05-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

Ovaj rad predlaže sveobuhvatnu i računalno efikasnu metodu temeljenu na Markovljevim lancima za sintezu realističnih voznih ciklusa s visokom frekvencijom uzorkovanja temeljem statističkih značajki segmenata izvučenih iz snimanih telemetrijskih podataka niske frekvencije uzorkovanja. U slučaju gradskog autobusnog prijevoza, segmenti rute označavaju dijelove između dvije uzastopne autobusne stanice. Segmenti rute su karakterizirani duljinom, srednjom brzinom te učestalosti zaustavljanja i vremenom mirovanja na završnoj stanici. U procesu sinteze voznih ciklusa, matrica prijelaznih vjerojatnosti generirana je temeljem voznih ciklusa visoke frekvencije uzorkovanja snimljenih u zasebnom, referentnom gradu. Pritom je poseban naglasak stavljen na zadovoljavanje početnog i konačnog uvjeta brzine segmenta, koji mogu biti nula ili različiti od nule, ovisno o uvjetu zaustavljanja autobusa na završnoj stanici segmenta. Ovakav pristup omogućava spajanje uzastopnih sintetiziranih voznih ciklusa segmenata u cjelokupni sintetički vozni ciklus rute. Predložena metoda sinteze validirana je temeljem proširene statističke analize generiranih voznih ciklusa u smislu zadovoljenja postavljenih zahtjeva na navedene uvjete i statističke značajke te računalne učinkovitosti cjelokupnog postupka.

Abstract (english)

This thesis proposes a comprehensive and computationally efficient Markov chain‐based method for the synthesis of realistic high-sampling-rate driving cycles, where statistical features on each bus route segment are explicitly defined based on extracted low-sampling-rate recorded data. The bus route segments correspond to road sections between two consecutive bus stations. Route segments are characterized by length, mean velocity, frequency of stopping at the final station and final station dwell time. In the driving cycle synthesis process, the transition probability matrix is established by a rich set of high-sampling-rate driving cycles recorded in a separate, reference city. The special emphasis of the synthesis process is on satisfying the route segment's initial and final conditions, which may be zero or not depending on whether the bus stops at a segment's final station or not. By ensuring proper boundary conditions, consecutive synthetic driving cycles can be concatenated into full route driving cycles. The synthesis method is validated based on an extensive statistical analysis of generated synthetic driving cycles in terms of satisfying predefined conditions and statistical features, as well as the overall computational efficiency aspect.

• Keywords: vozni ciklus; sinteza; rubni uvjeti; gradski autobus; telemetrijski podaci vozila; Markovljevi lanci; validacija
• Keywords (english): driving cycle; synthesis; boundary conditions; city bus; vehicle tracking data; Markov chain method; validation
• Language: croatian
• URN:NBN: urn:nbn:hr:235:622484
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-05-13 13:22:52