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Can valuable ITS data
be delivered using
machine vision technologies?
www.alliedvision.com
• 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
Proposed Agenda
What is ITS?
What is ITS?
Intelligent Transportation Solutions
What is ITS? - TrafficAnything 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 Running
• Weather Detection and Reporting
• Variable Speed Controls
• Automatic Accident Detection
• Integrated Corridor Management
• Connected Vehicle
• Smart Mobility/City
Current Markets
Longer-Term Markets
What is ITS? – Other StuffAnything using technology and intelligence to further improve travel, congestion and/or the traveling
experience.
• Airport and Hub movement analysis
• Ticketing Systems
• Scheduling Systems
• Visual Street Map
• Customer Information Systems
• Vehicle Load Management
• Over Height Vehicle Detection
• Vehicle Back-up Detection
• Accessibility Management
• Autonomous vehicles
• Driverless vehicles
• Drone technology
• Integrated Corridor Management
• Connected Vehicle
• Smart Mobility/City
Current Markets
Longer-Term Markets
ITS, the Past, Present and Future
The Past, Present and Future
Mesoscopic MicroscopicMacroscopicModelling Concepts
Real-Time PredictiveHistoricITS Requirements
Information IntelligenceDataProcess Modelling
ETL Big DataData Collection
DataUnderstanding
1990’s 2000’s 2010’s
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
Not robust
Does not identify a
specific vehicle
Vehicle identification
but
limited penetration
Only available
technology to
identify every vehicle
5. Blue tooth sniffing – about 10% penetration – many issues with picking up
signals from buses, trains traveling in parallel to roads, pedestrians and
cyclists
6. GPS Floating Vehicle Data (GFVD) - Expensive – only 4% penetration –
Freeways and Arterials – poor data quality during issues and incidents
7. 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
8. Cameras – Can provide Speed, Occupancy, Volume, Classification and a host
of other services.
`
• Non-Binary Data Delivery• Occupancy• Volume• Can deduce flow• Counts every vehicle• Speed
• Not robust• Maintenance issues• 60% functional
0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m
11:20A
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GFVD – GPS Floating Vehicle Data
0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m
11:20A
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11:40A
11:50A
12:00P
12:10P
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12:30P
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2.0
GFVD – GPS Floating Vehicle Data
0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m
11:20A
11:30A
11:40A
11:50A
12:00P
12:10P
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• Rich data availability• Speed• Volume• Can Clearly identify flow• Can identify Prediction
• Statistically representative?• Most accurate at peak flow• Arterial Assessment?
GFVD – GPS Floating Vehicle Data
0.5m 1.0m 1.5m 2.0m 2.5m 3.0m 3.5m
11:20A
11:30A
11:40A
11:50A
12:00P
12:10P
12:20P
12:30P
12:40P
12:50P
1:00P
CFVD – Cellular Floating Vehicle Data
• 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?
MVF786 -MD
MVT176 -MD
T176KY -TX
ACESS1 -VA
T1876 -VA
HFT12 -VA
MVF786 -MD
MVT176 -MD
T176KY -TX
ACESS1 -VA
T1876 -VA
HFT12 -VA
POP8 -VA
K16754 -VA
MVF786 -MD
MVT176 -MD
T176KY -TX
ACESS1 -VA
T1876 -VA
HFT12 -VA
POP8 -VA
MVT176 -MD
T176KY -TX
ACESS1 -VA
T1876 -VA
HFT12 -VA
POP8 -VA
K16754 -VA
WQ786 -MD
T176KY -TX
ACESS1 -VA
T1876 -VA
HFT12 -VA
POP8 -VA
K16754 -VA
WQ786 -MD
LU123Y -TN
ACESS1 -VA
T1876 -VA
HFT12 -VA
POP8 -VA
K16754 -VA
WQ786 -MD
LU123Y -TN
LU123Y -MD
T1876 -VA
HFT12 -VA
POP8 -VA
K16754 -VA
WQ786 -MD
LU123Y -TN
PP453Y -MD
FJ897Y -CA
ALPR – Automatic License Plate Recognition
How is Machine Vision different from ITS?
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 -40 - + 65C
• IR lighting arrays
ITS SummaryITS is a very different market, requiring very different product philosophies.
It requires
• Different hardware
• Different software
• Different applications
The Landscape of the Future
Congestion must be managed• Peaked in 2006
• Peak hours start earlier in 2007
• Congestion now surpassed 2006 Conditions
• Currently Trend Starting Earlier and Finishing later
• Trend cannot continue
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
Drivers for Change• Economic downturn has cancelled many capital road-building projects
• Dawning realization that additional lanes of freeways are counter productive
• Acceptance that congestion must be actively managed
• Acceptance that the entire transportation “network” must be actively managed
• ANPR becoming mainstream and license costs dropping
• Already ITS cameras used within a multi-role environments
• Congestion Mitigation Strategies
– Integrated Corridor Management
– Smart Transportation
– Smart City
The Road to Improvement
• Infrastructure Data
– Speed
– Volume
– Occupancy
• Systems Data
• Imputed Data
• Environmental Data
• Weather Data
• GIS Data
Real-time Long-term
Historic
Short-term
Historic
Pseudo - Prediction
Providing
Actionable Intelligent
Layer
Current ITS Building Blocks
Current ITS Process Flow
Process
Raw Data
Systems
Information
Intelligence
• Raw Data – ITS Infrastructure
• Process – Cleanse, Verify, Validate
• Systems – Ingested ATMS
• Information – Real-time operator entered info
• Intelligence – Actionable
– Prediction
– Decision Support
– Automated Systems
• DMS Signs
• Variable Speed Controllers
• Variable Traffic Light Phasing
Current ITS Process Flow
Systems
Information
Intelligence
• Integrating Clever Software– Speed
– Occupancy
– Volume
– Classification
– Wrong-Way Running
– Pedestrians on Road
– Cyclists on Road
– Debris on Road
– Over height Vehicles
– Hazardous Materials
In Conclusion
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
Jorgen Pedersen
Business Development Manager (ITS)
Allied Vision
+1 978 394 0563
Thank you all for listening
Any Questions?
