Can valuable ITS data be delivered using machine vision technologies?

Transcription

1 Can valuable ITS data be delivered using machine vision technologies?

2 Proposed Agenda What is ITS ITS the past present and future How does it differ from machine vision? The landscape of the future What will impact the delivery of visioning technologies The availability of data from a camera How can that data be used To answer the question

3 What is ITS?

4 What is ITS? Intelligent Transportation Solutions

5 What is ITS? - Traffic Anything using technology and intelligence to further improve travel, congestion and/or the traveling experience. Advanced Traffic Management Systems (ATMS) Advanced Traveler Information Systems (ATIS) Open Road Tolling Lane Control Systems Signaling Systems Red Light Running Speed Enforcement Lane Obstruction Detection Wrong Way Runningn Weather Detection and Reporting Variable Speed Controls Automatic Accident Detection Integrated Corridor Management Connected Vehicle Smart Mobility/City Current Markets Longer-Term Markets

6 ITS, the Past, Present and Future

7 The Past, Present and Future 1990 s 2000 s 2010 s Data Understanding Data Collection ETL Big Data Modelling Concepts Macroscopic Measoscopic Microscopic ITS Requirements Historic Real-Time Predictive Process Modelling Data Information Intelligence

8 Understand Current Sensor Capabilities Traditional Sensor Technology is not working 1. Loops not robust only, high percentage non-operational limited data 2. Magnetic pucks Purported to have a 7yr MTBF 3. Radar do not identify a particular vehicle 4. Toll tag readers Identify vehicles but most roads are not toll roads 4. Blue tooth sniffing about 10% penetration many issues with picking up signals from buses, trains traveling in parallel to roads, pedestrians and cyclists 5. GPS Floating Vehicle Data (GFVD) - Expensive only 4% penetration Freeways and Arterials poor data quality during issues and incidents 6. Cellular Floating Vehicle data (CFVD) Expensive up to 10% penetration (during normal hours) cannot differentiate a specific road within high network environments, such as a freeway and frontage road 7. Cameras Can provide Speed, Occupancy, Volume, Classification and a host of other services. Not robust Does not identify a specific vehicle Vehicle identification but limited penetration Only available technology to identify every vehicle

9 GFVD GPS Floating Vehicle Data 1:00P 12:50P 12:40P 12:30P 12:20P 12:10P 12:00P 11:50A 11:40A 11:30A 11:20A 0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m

10 GFVD GPS Floating Vehicle Data 1:00P 12:50P 12:40P 12:30P 12:20P 12:10P 12:00P 11:50A 11:40A Rich data availability Speed Volume Can Clearly identify flow Can identify Prediction Statistically representative? Most accurate at peak flow Arterial Assessment? 11:30A 11:20A 0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m

11 CFVD Cellular Floating Vehicle Data 1:00P 12:50P 12:40P 12:30P 12:20P 12:10P 12:00P 11:50A 11:40A 11:30A 11:20A 0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m

12 CFVD Cellular Floating Vehicle Data 1:00P 12:50P 12:40P 12:30P 12:20P 12:10P 12:00P 11:50A 11:40A Rich data availability Speed Volume Can Clearly identify flow Can identify Prediction Phones don t have to be on Statistically representative? Most accurate at peak flow Arterial Assessment? 11:30A 11:20A 0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m

13 WQ786 LU123Y K16754 FJ897Y HFT12 POP8 -VA -CA -MD -TN ALPR Automatic License Plate Recognition MVT176 MVF786 ACESS1 T176KY T1876 -VA -MD -TX MVT176 MVF786 T176KY ACESS1 HFT12 T1876 -VA -MD -TX MVT176 MVF786 ACESS1 T176KY HFT12 T1876 POP8 -VA -MD -TX MVT176 K16754 ACESS1 T176KY T1876 HFT12 POP8 -VA -MD -TX WQ786 ACESS1 T176KY K16754 HFT12 T1876 POP8 -MD -TX -VA WQ786 ACESS1 LU123Y K16754 HFT12 T1876 POP8 -MD -TN -VA WQ786 PP453Y K16754 LU123Y HFT12 T1876 POP8 -MD -VA -TN

14 How is Machine Vision different from ITS?

15 So what does ITS Need Specifically? IP Platform Compression H.264, Mpeg4, MJPEG Firmware Pixel correction, color correction etc. Linux and/or Windows? Sensor requirements HDR, Fast Shutter, 30FPS, Low Lux, Mpixels? Integrated communications options Extended Temperature Range C IR lighting arrays

16 ITS Summary ITS is a very different market, requiring very different product philosophies. It requires Different hardware Different software Different applications

17 The Landscape of the Future

18 Understanding the Market Drivers MAP-21 focusing on quantified improvement Travel time reliability Average speed by time of day Average volume by time of day Incident resolution and management More cameras being used in open road tolling systems than ever before More cameras being used in safety applications than ever before The World is suffering from congestion meltdown forcing organizations to invest in: Congesting charging Integrated corridor management HOT/HOV lanes Average speed Freight user charging Open road tolling These all require MV / imaging technology to be successful

19 The Road to Improvement

20 Current ITS Process Flow Raw Data ITS Infrastructure Process Cleanse, Verify, Validate Systems Ingested ATMS/ATIS Information Real-time position Intelligence Actionable Prediction Decision Support Automated Systems DMS Signs Variable Speed Controllers Variable Traffic Light Phasing Raw Data Process Systems Information Intelligence

21 Current ITS Process Flow Integrating Clever Software Speed Occupancy Volume Classification Wrong-Way Running Pedestrians on Road Cyclists on Road Debris on Road Over height Vehicles Hazardous Materials Systems Information Intelligence

22 In Conclusion

23 Can Valuable Data be delivered using Cameras? Without any doubt. Not only can it, but I believe it will become the defacto standard for all ITS data collection in any country enabling ANPR With the integration of ANPR and camera technologies there will be: More data Better quality data More comprehensive data More data availability Providing: The opportunity of a microscopic model The opportunity of valuable predictive services And Thereafter The opportunity to truly manage our roads efficiently The opportunity to better manage congestion The opportunity to fully identify where capital road building projects are absolutely essential

24 Thank you all for listening Any Questions? Jorgen Pedersen Business Development Manager (ITS) Allied Vision Technologies