Abstract
Nowadays, public transportation has become an essential area which affects our quality of life. Therefore, the design of new roads, new vehicles or new stations is a complicated process that requires a preliminary study to analyze its impact. This paper shows the algorithm of a simulation tool that allows the definition of transport routes, in regular and on-demand transportation systems. The resulting application allows adjustment and modification of routes, depending on passenger demand. All this is achieved through the use of a memetic algorithm that combines a genetic algorithm and tabu search. The result of the work done is a simulation tool and a memetic algorithm used for solving a particular instance of the Dynamic TSP.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IASTED International Conference on Applied Simulation and Modelling, ASM 2012 |
| Pages | 27-34 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 20th IASTED International Conference on Applied Simulation and Modelling, ASM 2012 - Napoli, Italy Duration: 25 Jun 2012 → 27 Jun 2012 |
Publication series
| Name | Proceedings of the IASTED International Conference on Applied Simulation and Modelling, ASM 2012 |
|---|
Conference
| Conference | 20th IASTED International Conference on Applied Simulation and Modelling, ASM 2012 |
|---|---|
| Country/Territory | Italy |
| City | Napoli |
| Period | 25/06/12 → 27/06/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Dynamic TSP
- Evolutionary computing
- Intelligent Transport system
- Simulation tool
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