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http://arks.princeton.edu/ark:/88435/dsp01st74ct567| Title: | Differentiable Optimization for On-Demand Transportation Systems |
| Authors: | Cunningham, Holly |
| Advisors: | Stellato, Bartolomeo |
| Department: | Operations Research and Financial Engineering |
| Class Year: | 2021 |
| Abstract: | We propose a data-driven approach to on-demand transportation routing as a linear program with rider pickup times as parameters, using differentiable optimization to compute gradients of some cost with respect to these parameters. This solution allows for routing optimization in real-time and is a significant improvement in efficiency to the mixed-integer formulation. |
| URI: | http://arks.princeton.edu/ark:/88435/dsp01st74ct567 |
| Type of Material: | Princeton University Senior Theses |
| Language: | en |
| Appears in Collections: | Operations Research and Financial Engineering, 2000-2024 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| CUNNINGHAM-HOLLY-THESIS.pdf | 453.16 kB | Adobe PDF | Request a copy |
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