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- Original title:
- Optimization of Vehicle Sharing Systems
- Original subtitle:
- Unconstraining, System Analysis & Dynamic Pricing
- Translated title:
- Optimierung von Vehicle-Sharing-Systemen
- Translated subtitle:
- Unconstraining, Systemanalyse, Dynamisches Pricing
- Author:
- Hardt, Cornelius
- Year:
- 2023
- Document type:
- Dissertation
- Faculty/School:
- TUM School of Engineering and Design
- Advisor:
- Bogenberger, Klaus (Prof. Dr.)
- Referee:
- Bogenberger, Klaus (Prof. Dr.); Pickl, Stefan (Prof. Dr.); Minner, Stefan (Prof. Dr.)
- Language:
- en
- Subject group:
- BAU Bauingenieurwesen, Vermessungswesen
- Keywords:
- vehicle sharing system, free floating; car sharing; pricing; dynamic; unconstraining; clustering; Analysis; MDP; ADP, MPC
- Translated keywords:
- vehicle sharing systeme, free-floating, carsharing, pricing, dynamisch; unconstraining; clustering; Analyse; MDP; ADP, MPC
- TUM classification:
- BAU 850; BAU 875
- Abstract:
- The thesis at hand explores the steps necessary to optimize a Vehicle Sharing System in free-floating mode. A novel unconstraining algorithm is presented to estimate real demand from rental data. A clustering is presented that reduces dimensionality in system analysis. Finally, a dynamic pricing is introduced, utilizing a Markov- Decision-Process Modelling and a full dynamic pricing policy. With the approach presented, increases of up to 10% in profit can be generated.
- Translated abstract:
- Die vorliegende Arbeit untersucht die Schritte zur Optimierung eines Free-floating Sharing-Systems. Ein neuer Unconstraining-Algorithmus wird präsentiert der die tatsächliche Nachfrage aus Mietdaten abschätzen, sowie ein Clustering, welches die Dimensionen in der Systemanalyse reduziert. Schlussendlich wird ein Dynamisches Pricing vorgestellt basierend auf einem Markov-Decision-Prozess sowie einer Pricing Policy. Der vorgestellte Ansatz ermöglicht Gewinnsteigerungen um bis zu 10%.
- WWW:
- https://mediatum.ub.tum.de/?id=1685694
- Date of submission:
- 27.09.2022
- Oral examination:
- 15.05.2023
- File size:
- 193480120 bytes
- Pages:
- 252
- Urn (citeable URL):
- https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230515-1685694-1-0
- Last change:
- 14.06.2023
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