Heterogeneous data sources
(e.g., Logged GPS, road sensors,
Road - segment
case library
events, highway incidents, calendar, clock, etc.)
Computed
relationships & properties
Machine learning
rPredictive models
Model 1: Assigns structure- sensitive
mean road speeds to unsensed roads
Model 2: Assigns structure- sensitive
road speed variances to unsensed
roads
Route request
• Directions A -3B
Preferences (Minimal time, distance, risk preferences)
• Real time vs. future (date, time)