Randomized FIFO and relaxed rationality in ride-sharing platforms: design and performance of multiple acceptance rules
Iannacci, Francesca (A.A. 2024/2025) Randomized FIFO and relaxed rationality in ride-sharing platforms: design and performance of multiple acceptance rules. Tesi di Laurea in Games and strategies, Luiss Guido Carli, relatore Xavier Mathieu Raymond Venel, pp. 85. [Bachelor's Degree Thesis]
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Abstract/Index
Mathematical background. Queueing theory: essential metrics and concepts. Game theory: principles, strategies, and equilibrium concepts. Dispatch frameworks. Problem formulation and model design. Mathematical formulation of the three models. Final remarks: relaxation of equilibrium. Behavioral simulation framework. Simulation purpose and scope. Code structure and acceptance rules. Outcome analysis across acceptance strategies. Cross-rule performance comparison and final insights. Benchmarking behavioral strategies. Simulation focus and design. Algorithmic variations. Results and analysis.
References
Bibliografia: pp. 67-68.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33) |
| Chair: | Games and strategies |
| Thesis Supervisor: | Venel, Xavier Mathieu Raymond |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 12 Nov 2025 15:21 |
| Last Modified: | 12 Nov 2025 15:21 |
| URI: | https://tesi.luiss.it/id/eprint/43784 |
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