Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

This software learns a dispatching and rebalancing policy for autonomous-mobility on demand systems using a structured learning enriched combinatorial optimization pipeline.

Authors

Thibaut Vidal (ORCID: https://orcid.org/0000-0001-5183-8485)
Axel Parmentier (ORCID: https://orcid.org/0000-0003-1762-4947)
Maximilian Schiffer (ORCID: https://orcid.org/0000-0003-2682-4975)
Kai Jungel (ORCID: https://orcid.org/0000-0002-6625-9942)

Publication Details

Journal: INFORMS journal on computing
Published: 2025-05-19
DOI: https://doi.org/10.1287/ijoc.2024.0637.cd
Primary Topic: Transportation and Mobility Innovations
Type: article
Field-Weighted Citation Impact: 0.00

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article

Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

Thibaut Vidal, Axel Parmentier, Maximilian Schiffer, Kai Jungel

May 19, 2025

INFORMS journal on computing

Transportation and Mobility Innovations

article

Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

Thibaut Vidal, Axel Parmentier, Maximilian Schiffer, Kai Jungel

May 19, 2025article en

Abstract

This software learns a dispatching and rebalancing policy for autonomous-mobility on demand systems using a structured learning enriched combinatorial optimization pipeline.

INFORMS journal on computing

Openalex Percentile: Top 89%

Transportation and Mobility Innovations

DOI Source OpenAlex

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Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control — Thibaut Vidal, Axel Parmentier, et al. · INFORMS journal on computing (2025) | TGRS Research Map | TGRS