Historical Replay Evaluation

Goal

Evaluate zone recommendation policies against recorded historical demand patterns, reducing reliance on pure simulation.

Methodology

  1. Sample historical demand distribution (zone-level pickups by hour)

  2. For each policy: simulate driver allocation matching demand

  3. Measure: revenue, utilization, demand coverage

  4. Compare across all policies

Results

Policy

Total Revenue

Utilization

Demand Coverage

(run script to fill)

Comparison with Simulator

Aspect

Historical Replay

Full Simulator

Demand source

Recorded distribution

Generative model

Driver competition

Simplified

Full multi-agent

Computation

Fast (~seconds)

Slow (~minutes)

Realism

Medium

Medium-High

Limitations

  • Replay != real deployment - no driver behavioral response

  • Simplified competition model

  • Historical demand may not reflect future patterns