Abstract
The transition process taking place in public transport, from conventional bus fleet towards a 100% electric one, requires a scientific approach. Proper formulation and description of the fleet conversion process is a complex, multithreaded and multi-faced task, in solving which basic methods may be helpful. These include: an identification model based on statistical methods, an optimisation model based on multi-criteria optimization methodology, an interaction model based on the methods of discrete Markov chains and economic models, enabling realistic consideration of any proposed solution based on simulation methods. The article formulates requirements for basic methods, their input and output data and divide them into groups with regard to social, technological, economic, environmental and political analysis (known as STEEP analysis). These methods may contribute to a formal formulation of a fleet conversion optimisation problem. The paper also describes intermediate stages in fleet conversion process as well as three different approaches to city bus fleet conversion to achieve a fully electric city bus fleet in transit company.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Intelligent Transportation and Infrastructure |
| Publisher | Springer Nature |
| Pages | 89-98 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2020 |
Publication series
| Name | Lecture Notes in Intelligent Transportation and Infrastructure |
|---|---|
| Volume | Part F1380 |
| ISSN (Print) | 2523-3440 |
| ISSN (Electronic) | 2523-3459 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Battery electric bus
- Electromobility
- Public transport
ASJC Scopus subject areas
- Computer Science Applications
- Automotive Engineering
- Control and Systems Engineering
- Transportation
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