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A Brief Summary of Driving Apps & Discussion. Abhilash , Mona. The Big Picture. Theory Dynamic traffic assignment Traffic prediction Data Collection Map data Traffic data (real time) Systems Driving guidance systems (GPS, apps) others. Outline. Popular apps
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A Brief Summary of Driving Apps & Discussion Abhilash, Mona
The Big Picture • Theory • Dynamic traffic assignment • Traffic prediction • Data Collection • Map data • Traffic data (real time) • Systems • Driving guidance systems (GPS, apps) • others
Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prodiction systems • Design challenges
Desirable Features of Our App? • Basic GPS feature • Navigate • Key feature: • Route planning • E.g. top 3 quickest routes, or gas-efficient routes • Re-route upon change of traffic condition • Supporting features: • Traffic prediction • Collection of real-time traffic information, e.g. congestion, accidents, weather conditions, road repair. • Crowd sourcing (user report) • Advanced features • Suggest departure time (to meet target arrival time)
Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prediction systems • Design challenges
Traffic Prediction Theory • Road Traffic Prediction with Spatio - Temporal Correlations (by IBM) • Dynamic time series prediction of future traffic conditions
Traffic Estimation and Prediction System (TrEPS) • DynaMIT-R (by MIT) • DYNASMART-X (by UTX/UMD) • VICS ( Vehicle Information Communication System by Japan) • DynaCHINA (by China) • Singapore’s Traffic System
Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prediction systems • Design challenges
Technical Challenges • Accuracy: • Traffic dynamics (Traffic info inaccuracy) • Driver behavioral • Energy constraint • How often should app interact with server? • Incremental deployment • How effective when only 20% drivers deploy our app? • Privacy
Other Issues • OS/platform • Planning and Milestones • 3 months • 6 months • Long term • Basic architecture
Basic Architecture APP Third party traffic provider Map Display Voice Navigation User Input Internet Sensors GPS Processing Cloud Connection Manager Upload Data Cell Tower Download Data Optimal route Location + Velocity Destination Real time traffic data Motion Sensors 3G
Motivation • Theory about Dynamic Traffic Assignment is mature. • GPS sensor and cellular network make it cheap and effective to collect traffic data. • US lags back on ITS
Traffic Information Provider • INRIX • Data source: alert, historical data, roadway sensor and cameras, crowd sourcing(mobile) • Google map • Data source: crowd sourcing • NAVTEQ • Data source: historical data, traffic sensors, GPS monitors, traffic operation center • Traffic Cast • Tomtom