Recommended for fleets >10 vehicles with driver retention challenges. Not recommended for time-critical (medical, perishables) or single-vehicle operations. Appendix available: Gini coefficient calculation method used by SpeedNavi (Lorenz curve over leg durations, not distances).
The update reduces extreme outliers in trip duration between drivers but may increase overall route length by 3–7% in exchange for fairer time distribution. 2. What Changed? (Technical Overview) | Feature | Pre-Update | Post-Update (Gini-enabled) | |--------|-----------|----------------------------| | Optimization goal | Minimize total fleet distance/time | Minimize distance/time with Gini constraint | | Route output | Single “optimal” route per vehicle | Set of routes with balanced segment inequality | | Metric exposed | ETA, distance, traffic | + Gini score (0=perfect equality, 1=max inequality) | | User control | None on fairness | Slider: speed vs. equality (Gini threshold) | speednavi gini update
Date: April 17, 2026 Subject: Impact Assessment of Integrating Gini Coefficient into SpeedNavi Routing & Distribution Logic 1. Executive Summary The SpeedNavi Gini Update introduces inequality measurement into route optimization. Traditionally, SpeedNavi focused on shortest-path or fastest-time algorithms. The new update leverages the Gini coefficient to evaluate and modify route suggestions based on how evenly travel distances, estimated arrival times, or workload are distributed across a fleet or multi-stop trip. Recommended for fleets >10 vehicles with driver retention