Research map / Multi-agent systems and games / Games and equilibria
Selecting Compliant Agents for Opt-in Micro-Tolling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| select compliant agents with DMCP+TE instead of randomly | opt-in micro-tolling with Delta-tolling · Austin, R=1e-4 | compliance needed for optimal welfare: 40% | Helped |
| use R=1e-5 instead of 1e-4 for Delta-tolling | DMCP+TE · Sioux Falls, Austin, San Antonio | social welfare | Helped |
| select compliant agents by value of time (TE) instead of random | compliant agent selection · all scenarios | social welfare | Helped |
| random selection instead of DMCP heuristics at high compliance | RANDOM baseline · San Antonio, R=1e-4 | social welfare | Mixed |
| increase R above 1e-4 with fewer compliant agents | DMCP+TE · Sioux Falls/Austin/San Antonio | social welfare: peak at 20% | Mixed |
| use DMCP+TE to make 7.6% of agents compliant versus no tolls | San Antonio · San Antonio | social welfare: 10.9% | Helped |
| use DMCP+TE to make 18.7% of agents compliant versus no tolls | Sioux Falls · Sioux Falls | social welfare: 21.1% | Helped |
| any compliant agents versus none | random and heuristic selection · all scenarios | social welfare | Helped |
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