Abstract
With rapid growth of shareable bikes comes the problem of indiscriminately parked bikes blocking traffic. We propose a centralized pricing based dynamic incentive mechanism to mobilize the participants via crowdsourcing with regarding to reposition the indiscriminately parked bikes. We formalize the key component of the proposed incentive mechanism into two decision-making model: individual decision-making model Cost-refundable, Multiple Resources Constrained Multiple Armed Bandit (CRMR-MAB) and overall decision-making model multi-dimensional and multiple choice Knapsack problem (MMKP). We proposed a comprehensive decision algorithm GA-WSLS which combines the two. Realistic simulation based on real-world dataset from Singapore demonstrated significant advantages of the proposed approach over 7 existing approaches.
| Original language | English |
|---|---|
| Title of host publication | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 2099-2101 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781510892002 |
| Publication status | Published - 2019 |
| Event | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada Duration: 13 May 2019 → 17 May 2019 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| Volume | 4 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 |
|---|---|
| Country/Territory | Canada |
| City | Montreal |
| Period | 13/05/19 → 17/05/19 |
Bibliographical note
Publisher Copyright:© 2019 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Keywords
- Crowdsourcing
- Multi-armed bandit
- Multi-dimensional multiple choice knapsack problem
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