---
license: apache-2.0
task_categories:
  - reinforcement-learning
  - other
language:
  - en
tags:
  - vehicle-routing
  - stochastic-vrp
  - last-mile
  - logistics
  - schedule-stability
  - dynamic-routing
  - optimization
pretty_name: Stochastic Last-Mile Benchmark
size_categories:
  - n<1K
---

# Stochastic Last-Mile Re-optimization Benchmark

Benchmark results for **adaptive last-mile routing under uncertainty**, aligned with [MBZUAI/svrp-bench](https://huggingface.co/datasets/MBZUAI/svrp-bench).

## Contents

| File | Description |
|------|-------------|
| `manifest.json` | Dataset metadata |
| `eval_results.json` | Aggregate metrics per strategy |
| `lastmile_*.json` | Per-instance strategy comparison results |

## Scenario

- **100 delivery orders**, **10 vehicles** (medium preset)
- Morning plan from **RouteFinder** (ai4co/routefinder)
- Intraday disruptions: traffic, unavailability, new orders, vehicle failure
- Re-optimization every 5 minutes or on disruption

## Strategies Evaluated

RouteFinder, Rolling Horizon, ALNS, Monte Carlo, Scenario Tree, OR-Tools, Reinforcement Learning

## Metrics

| Metric | Description |
|--------|-------------|
| `avg_objective` | distance + lateness + route_change_penalty |
| `avg_stability` | Schedule stability score (higher = less churn) |
| `avg_route_change_penalty` | Penalty for deviating from previous routes |
| `win_rate` | Fraction of instances where strategy wins |

## Objective

```
objective = distance + 8 × lateness + 12 × route_change_penalty
```

## Related Resources

- [Interactive Simulator](https://huggingface.co/spaces/alirezaaminzadeh/adaptive-last-mile-routing)
- [Policy Model](https://huggingface.co/alirezaaminzadeh/lastmile-reoptimization-policy)
- [SVRP-Bench](https://huggingface.co/datasets/MBZUAI/svrp-bench)
- [RouteFinder](https://huggingface.co/ai4co/routefinder)

## Citation

```bibtex
@dataset{stochastic_lastmile_benchmark,
  title={Stochastic Last-Mile Re-optimization Benchmark},
  author={LastMileAdapt Engineering},
  year={2026},
  publisher={Hugging Face},
  howpublished={\\url{https://huggingface.co/datasets/alirezaaminzadeh/stochastic-last-mile-benchmark}}
}
```