Speednavi Gini Update

Define per-edge augmented cost: c_e = t_e(x_e) + λ * ΔG_e where ΔG_e is the marginal increase in the network Gini coefficient if an additional unit of flow uses edge e, and λ ≥ 0 is a tunable fairness weight.

Approximation for ΔG_e: ΔG_e ≈ (2/(n^2 * μ)) (u_e - μ + 1/(2n)) where n = |E| and μ is mean utilization; derive via first-order Taylor expansion of the Gini formula. speednavi gini update

Per-route cost is sum of c_e along path; route choice minimizes expected augmented cost. Define per-edge augmented cost: c_e = t_e(x_e) +

The update process varies slightly depending on whether you use the free community edition or the paid pro version. Below is the most common method for Android and iOS. The update process varies slightly depending on whether

Traditional navigation apps rely heavily on average travel times. However, an "average" route can often be deceptive. A road might have a fast average time, but suffer from unpredictable, extreme delays (traffic spikes) that ruin a driver’s schedule. Users were often routed through paths that looked good on paper but performed poorly in reality due to high variance in traffic flow.