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A Brief Summary of Driving Apps & Discussion

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

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  1. A Brief Summary of Driving Apps & Discussion Abhilash, Mona

  2. The Big Picture • Theory • Dynamic traffic assignment • Traffic prediction • Data Collection • Map data • Traffic data (real time) • Systems • Driving guidance systems (GPS, apps) • others

  3. Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prodiction systems • Design challenges

  4. Popular Apps: features and data sources

  5. 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)

  6. Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prediction systems • Design challenges

  7. Traffic Information Providers

  8. Traffic Prediction Theory • Road Traffic Prediction with Spatio - Temporal Correlations (by IBM) • Dynamic time series prediction of future traffic conditions

  9. 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

  10. Outline • Popular apps • Desirable features of our app • Review of • Traffic sources • Traffic prediction systems • Design challenges

  11. 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

  12. Other Issues • OS/platform • Planning and Milestones • 3 months • 6 months • Long term • Basic architecture

  13. 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

  14. 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

  15. Popular apps: features and data sources

  16. 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

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