Its Congestion Intellione


Published on

Published in: Career
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Its Congestion Intellione

  1. 1. ITS Congestion Challenge Intellione Solution
  2. 2. Issue Cost prohibitive to extend sensor infrastructure Cost of maintenance drains budgets Cost of collecting O/D data Frequency of network studies impacted Traffic Congestion <ul><li>Impact </li></ul><ul><li>No coverage no data </li></ul><ul><li>No data no analysis </li></ul><ul><li>Insight into Network robustness constrained </li></ul><ul><li>Modeling and Planning compromised </li></ul><ul><li>Public mandate impacted </li></ul>The Problem Congested roadways trapping motorist in long commutes creating great economic and environmental impact
  3. 3. <ul><li>Real Time Cell Probe Data </li></ul><ul><li>Visibility into road network </li></ul><ul><li>Roads wherever there is cell coverage </li></ul><ul><li>Dynamic Journey Time Calculations </li></ul><ul><li>Origin-Destination Studies </li></ul><ul><li>Modeling (Mobile Densities) </li></ul><ul><li>Open API data delivery </li></ul><ul><li>Source for historical database </li></ul><ul><li>Intellione’s solution provides real time traffic information collected on every roadway to industry and consumers . </li></ul>The Solution
  4. 4. <ul><ul><li>“ We’ve had the Intellione data in-house since late last year and are impressed with the accuracy, particularly when compared to traditional field measurement systems. Even more important is the high quality coverage on major arterials and city streets, where it has never before been practical or possible to collect….” </li></ul></ul><ul><ul><li>Bruce Zvaniga, P. Eng., Manager., Urban Traffic Control Systems, City of Toronto </li></ul></ul>Intellione Traffic
  5. 5. <ul><li>Cell phone data is pulled from the </li></ul><ul><li>carrier network and converted </li></ul><ul><li>into locations </li></ul><ul><li>Locations are converted into speeds and travel times </li></ul><ul><li>Tracking 800+ million Toronto area </li></ul><ul><li>locations per day, 2.5 seconds apart </li></ul><ul><ul><li>US Patents in 2003 and 2007 </li></ul></ul><ul><li>Intellione converts mobile phone motion into real time road speed and traffic congestion information. </li></ul>How We Do It
  6. 6. <ul><li>Partner with operator for source RF data </li></ul><ul><li>Traffic and location data licensed on a per market or user basis </li></ul><ul><li>Ad supported consumer model </li></ul>Business Model
  7. 7. <ul><li>Distribution Partnerships </li></ul><ul><ul><li>ITS Consulting and Services Organizations </li></ul></ul><ul><ul><li>Fleet/Logistics Software and Services Companies </li></ul></ul><ul><ul><li>Business Intelligence Companies </li></ul></ul><ul><li>Direct sales with key clients </li></ul><ul><ul><li>PND manufactures </li></ul></ul><ul><ul><li>Portals </li></ul></ul><ul><li>Consumers through io-vector smartphone application </li></ul><ul><li>Targeting Three Strategic Distribution Channels </li></ul>Making it Available
  8. 8. Status and Timeline <ul><li>Current </li></ul><ul><ul><li>Live system in Toronto, ON </li></ul></ul><ul><ul><li>Remainder of Canada by Q2 2010 </li></ul></ul><ul><li>Expand to the U.S. throughout 2010 </li></ul><ul><ul><li>First 20 markets by the end of Q2 2010 </li></ul></ul><ul><ul><ul><li>Testing System in the UK Q3 2009 </li></ul></ul></ul>
  9. 9. Competition TRAFFIC MEASUREMENT COMPARISON   GPS Based Call Origination/ Termination Systems A-Link Systems Timing Advance Based Abis Systems Intellione's Abis System Factors           Device Required GPS Only Any Cellular Device Any Cellular Device Any Cellular Device Any Cellular Device Size of Device Pool Very Small Large Large Large Large Location Accuracy Very Accurate Very Low Accuracy Low Accuracy Low Accuracy Accurate Location Spacing Wide Spacing Very Wide Spacing Very Wide Spacing Wide Spacing Narrow Spacing Update Frequency Very Low Very Low Low Low Very High Data Points Available Few Few Moderate Moderate Very High Traffic Quality           Urban Freeways Good Moderate Moderate Good Excellent Urban Surface Streets Poor Poor Poor Poor Excellent Suburban Freeways Good Moderate Moderate Good Excellent Suburban Surface Streets Moderate Poor Poor Moderate Good Rural Freeways Good Moderate Moderate Good Good Rural Surface Streets Moderate Poor Poor Poor Moderate Provider Example Inrix Airsage Cellint Tom Tom Intellione
  10. 10. <ul><li>Ron Herman, CEO </li></ul><ul><ul><li>Arthur Anderson, Ford, GM, Coca Cola </li></ul></ul><ul><li>Randall Cayford, CTO </li></ul><ul><ul><li>U-Cal Berkeley, TTech Systems </li></ul></ul><ul><li>Willem Galle, COO </li></ul><ul><ul><li>JumpTV, Descartes Systems, Encompass </li></ul></ul><ul><li>David Winters, CFO </li></ul><ul><ul><li>Med Spa, Polycom </li></ul></ul><ul><li>Canada </li></ul><ul><ul><li>Bill Tapscott, Managing Director </li></ul></ul><ul><ul><li>Recognitions </li></ul></ul><ul><ul><li>National Science Foundation Grant recipient </li></ul></ul><ul><ul><li>Awarded Top 50 honor from Scientific American Magazine </li></ul></ul><ul><ul><li>Presented at ITS Americas Annual Meeting, 2009 </li></ul></ul>The Team