Abstract
The public transport operators must find a compromise between the growing demands and the available resources or budget constraints. Very often a significant improvement of the efficiency of the public transportation system can be attained by minor changes of the layout of communication lines or the timetable. Such optimization problems are computationally very complex, thus some heuristic procedures should be applied. In this paper a genetic algorithm is used to find the optimal structure of public transport network with given rolling stock. As the objective function the total time of realization of the transportation demands is assumed. The case study of a city in southern Poland is presented.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent Systems and Computing |
| Publisher | Springer Verlag |
| Pages | 135-146 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 2017 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 505 |
| ISSN (Print) | 2194-5357 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- Genetic algorithm
- Public transport
- Taguchi method
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science
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