Taxi-point

FareFynder (farefynder.com) — Predictive London taxi and private-hire demand model: forward-looking demand-surge forecasts that fuse London event schedules (concerts, sporting fixtures, West End performances, with event end-times) against live airport arrival-delay data and rail and Underground disruption feeds, producing hotspot predictions, a seven-day demand forecast calendar, and end-time alerts for a single defined urban area. The consumer product is an iPhone app sold on subscription; the underlying asset is the fused multi-source demand-forecast series and, as the app acquires users, t…

Taxi-point offers (Alternative, Geospatial, Sentiment) — Small and young, but structurally interesting: London's full event calendar (venue, type, capacity proxy, start and end time) across concerts, sport and West End, plus continuous arrival-delay deltas for London's airports and live rail and Underground disruption events, fused into hourly zone-level demand scores and a rolling seven-day forecast. Volume is in the tens of thousands of forecast records per year for one city rather than in raw observations — the record count grows with retained forecast history, not with driver traffic..

Training short-horizon urban demand-forecasting models for ride-hail and taxi fleets; dynamic pricing and driver-incentive design; repositioning and fleet-balancing optimisation for autonomous ride-hail deployments entering London; venue and airport ground-transport planning; event and disruption impact modelling on local mobility; and as a labelled benchmark for surge-prediction research, since forecast-versus-outcome pairs are exactly what demand models lack for evaluation.

Coverage spans UK, US; Application Software, Passenger Ground Transportation; alternative, geospatial, sentiment; equities.