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New Technologies to Shape The Future of Transport - It’s About the Data - David Pickeral - IBM Industry Smarter Solutions Team - Transforming Transportation 2014 - EMBARQ The World Bank
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New Technologies to Shape The Future of Transport - It’s About the Data - David Pickeral - IBM Industry Smarter Solutions Team - Transforming Transportation 2014 - EMBARQ The World Bank

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Data for New Technologies to Shape The Future of Transport by David Pickeral from the IBM Industry Smarter Solutions Team. Presented at Transforming Transportation 2014 co-organized by EMBARQ and The …

Data for New Technologies to Shape The Future of Transport by David Pickeral from the IBM Industry Smarter Solutions Team. Presented at Transforming Transportation 2014 co-organized by EMBARQ and The World Bank.

Published in: Technology, Business

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  • 1. New Technologies to Shape The Future of Transport: “It’s About the Data” ! !   Presented at Transforming Transportation 2014! !   David E. Pickeral, JD, Transportation Sector Lead! !   IBM Industry Smarter Solutions Team! Transforming Transportation 2014!
  • 2. New Technologies to Shape The Future of Transport: “It’s About the Data” Plenary Session: Transforming Transportation Through Technology David E. Pickeral, JD Transportation Sector Lead IBM Industry Smarter Solutions Team © 2014 International Business Machines Corporation © 2014 International Business Machines Corporation
  • 3. IBM Intelligent Transportation (IIT) Computational Engineering challenges •  •  •  TOAS: Public Transportation Awareness Urban Dynamics: Traffic Prediction Tool •  Megaffic: Agent based Traffic Management Dublin China Zurich Watson Almaden Austin •  Smarter Traveler •  •  Haifa Saudi Arabia •  Nairobi Brazil Multi-modal Transportation Pricing DOCIT Tokyo India •  Never Blocked Analytics for frugal ITS Melbourne © 2014 International Business Machines Corporation 3
  • 4. IBM Intelligent Transportation (IIT) Transportation Management Solutions – Functionality Data Needed Road sensor Transit & Movement Transportation (Mobile, GPS, etc.) System Network GIS People count, Behavior Vehicle location & flow Fare rules Analyses / Projects Journey Management System Zonal densities and Interzonal O/D matrices Transit network Simulation and Operational plan Optimization Analysis of passenger Spatio-temporal Distribution Dynamic route Reconstruction and Time of arrival prediction Network-wide Optimization of prices To maximize revenue Or profit Traffic simulation Results Provided Journey history, travel time predictions Upcoming travel Actionable information Optimized transit Routes and scenario Planning Passenger O/D matrices © 2014 International Business Machines Corporation Decision support for Public transportation Network planning Predicted time of Arrival Predicted traffic Conditions upto 1-hour ahead Route performance, Road speed, vehicle location Optimized prices, Revenue potential Under different rules And assumptions 4
  • 5. IBM Intelligent Transportation (IIT) Smarter Traveler notifies users in case of transportation incidents © 2014 International Business Machines Corporation 5
  • 6. Driver Services - Transportation Management Smarter Traveler: Solution Architecture © 2014 International Business Machines Corporation 6
  • 7. IBM Intelligent Transportation (IIT) Traffic Prediction Tool (TPT) ID 103063556 ID 103064570 3500 Little automated use is made of the gigabytes of real-time traffic data today; often, by the time it is received, it is no longer representative of the actual traffic 0 500 1500 IBM’s TPT provides a layer of intelligence by using sensor data in sophisticated algorithms that create relevant insights from the raw data 500 200 2500 2500 ► IBM Innovation: forecast the future REAL[pl, ] 400 REAL[pl, ] ► Issue: “real-time” is too late 1500 600 800 3500 ID 103011024 200 250 0 50 blue = forecast 150 200 250 0 250 100 time 100 150 0 200 250 150 200 REAL[pl, ] 250 200 ID 103064789 TPT accurately forecasts future traffic conditions, including incidents 0 50 ID 103072372 100 150 200 ID 103102451 Extension: Data Expansion r r r r r r r rr r r rrr r r r r r r r r r rrrrrr r r r rr r r r rr r r rr rr r r r rr r r rr r rr r r rr r r r r r r rr rr rr rrr r r r r rr r rrr r r rrr rrr r r r r rr r r r rr r r r r r r r r rr r r r r r r rr r rrr rrr r r rr r r rr rr rr r r r r rr r r rrr r rrrr rr rr r rrr rr r r r r r rr rr r r r r rrrrr r 0 50 4000 r r 300 REAL[pl, ] 3000 2000 1000 © 2014 International Business Machines Corporation 50 100 (2008 IME) develop algorithm to fill in gaps of real-time sensor data, resulting Traffic Planning; Dynamic Road Pricing; congestion based tariff setting; route planning & advice 4000 Traffic Operations: Variable Message Sign setting; traffic signal timing, ramp metering 50 150 in a complete picture of future traffic state, network-wide 100 150 200 1000 Future Use 5000 Current Focus 500 0 REAL[pl, ] 200 ID 103067974 0 3000 1000 150 100 2500 4000 100 400 50 r r 200 0 rr r r rr r r r r r r r rr r rr r r r r r rr rr 2000 REAL[pl, ] tool screenshot 50 red = incident ID 103064655 volume 1000 2000 3000 4000 5000 ID 103064571 100 black = actual 3500 150 1500 100 3000 50 2000 0 7 250 0 50 100 7 150 200
  • 8. IBM Intelligent Transportation (IIT) Dynamic Optimization of Community Intermodal Transportation (DOCIT) Typical Scenario: • A family travels from Birmensdorf (ZH) to the Zoo. Several possibilities with different • Modes • Connections • Transfers and uncertainties! • Delays • Lack of parking • Traffic jams • … Use Case 2 Operator facing optimization Use Case 1 Personal Journey Planning •  Provides API to external applications to plan a journey in a multi-modal network and track trip progress •  Re-plan when User is off-track; Events invalidate plan; Events create better opportunities © 2014 International Business Machines Corporation •  Derive and communicate to operator performance measures based on how the system works for a user -  Account for uncertainties Performance Metrics: journey times, wait times, missed connections, walk access distances -  •  Make recommendations on schedule refinements 8
  • 9. IBM Intelligent Transportation (IIT) Analytics Driven Asset Management - ADAM Descriptive, Predictive and Prescriptive Analytics • Maintenance Planning • Maintenance Scheduling • Replacement Planning • Condition Assessment • Failure Cause Analysis • Failure Prediction • Usage Analysis • Customer Analysis ADAM Insight, Foresight and Prescriptions Data Data à Operational, Failure, Usage, Condition, Customer, Location • Asset Management • Work Management • Service Management • Inventory / Contract • Procurement Management Scada, Sensors, Inspection, Metering Systems EAM / SCADA Enterprise Asset Management Assets © 2014 International Business Machines Corporation 9
  • 10. IBM Intelligent Transportation (IIT) PALM: Planning Analytics for Asset Lifecycle Management Profile Infrastructure Profile Predict Prescribe Coordinate Strategic Needs & Sustainability Assessment (replace vs. Predictive Analytics Act Cross Agency Project Identification rehab vs. run to failure) Investment Planning – O&M vs. Capital Unified information portal of Region Assets across all agencies Road Water Sanitary / Storm Enterprise Asset Management © 2014 International Business Machines Corporation GIS Ponds Bike Paths Signs Pavement Agency Plan (O&M + Capital) Buildings Agency Financials 10
  • 11. Thank You depicker@us.ibm.com www.linkedin.com/in/pickeral © 2014 International Business Machines Corporation 11