Ride-hailing Fleet Control: A Unified Framework
Analysis
This paper offers a unified framework for ride-hailing fleet control, addressing a critical problem in urban mobility. It's significant because it consolidates various problem aspects, allowing for easier extension and analysis. The use of real-world data for benchmarks and the exploration of different fleet types (ICE, fast-charging electric, slow-charging electric) and pooling strategies provides valuable insights for practical applications and future research.
Key Takeaways
- •Proposes a unified sequential decision-making model for ride-hailing fleet control.
- •Introduces efficient assignment procedures and exploration-exploitation techniques.
- •Uses real-world data for benchmark instances.
- •Compares different fleet types (ICE, fast-charging electric, slow-charging electric).
- •Analyzes the impact of pooling on revenue and variability.
Reference
“Pooling increases revenue and reduces revenue variability for all fleet types.”