Towards Dynamic Rebalancing of Bike Sharing Systems: An Event-Driven Agents Approach
| Autor: | Ralf Bruns, Jeremias Dötterl, Jürgen Dunkel, Sascha Ossowski |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Event (computing) business.industry Computer science 05 social sciences Complex event processing 010501 environmental sciences Computer security computer.software_genre 01 natural sciences Bicycle sharing Renting Intervention (law) Incentive 0502 economics and business Bike sharing Agent architecture business computer 0105 earth and related environmental sciences |
| Zdroj: | Progress in Artificial Intelligence ISBN: 9783319653396 EPIA |
| DOI: | 10.1007/978-3-319-65340-2_26 |
| Popis: | Operating a Bicycle Sharing System over some time without the operator’s intervention causes serious imbalances, which prevents the rental of bikes at some stations and the return at others. To cope with such problems, user-based bicycle rebalancing approaches offer incentives to influence the users’ behavior in an appropriate way. In this paper, an event-driven agent architecture is proposed, which uses Complex Event Processing to predict the future demand at the bike stations using live data about the users. The predicted demands are used to derive situation-aware incentives that are offered by the affected stations. Furthermore, it is shown how bike stations cooperate to prevent that they outbid each other. |
| Databáze: | OpenAIRE |
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