Abstract
The feeder bus is needed to support the dedicated infrastructures (i.e. monorail and tram) in order to pick-up passengers from the bus stops in all location to the monorail/tram stations and vice versa. Planning of feeder bus routing is important to be conducted in order to determine the best flow of routes in each of monorail/tram stations. This paper proposes a Genetic Algorithm based approach to develop feeder bus routing model in order to determine the best flow of routes and minimum amount of feeder bus. Surotram project in Surabaya Mass Rapid Transit (SMART) project is selected as the case study in this paper. The results indicated that the base solutions of 12 feeder bus routes were wounded with 45 feeder-bus to serve 51 bus stops in all locations.
| Original language | English |
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| Title of host publication | 2016 International Conference on ICT for Smart Society, ICISS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 37-41 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509016204 |
| DOIs | |
| Publication status | Published - 21 Dec 2016 |
| Event | 2016 International Conference on ICT for Smart Society, ICISS 2016 - Surabaya, Indonesia Duration: 20 Jul 2016 → 21 Jul 2016 |
Publication series
| Name | 2016 International Conference on ICT for Smart Society, ICISS 2016 |
|---|
Conference
| Conference | 2016 International Conference on ICT for Smart Society, ICISS 2016 |
|---|---|
| Country/Territory | Indonesia |
| City | Surabaya |
| Period | 20/07/16 → 21/07/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Genetic Algorithm
- Smart city transportation
- feeder bus
- routing problems
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