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.

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• 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

11:30A

11:40A

11:50A

12:00P

12:10P

12:20P

12:30P

12:40P

12:50P

1:00P

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

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

12:20P

12:30P

12:40P

12:50P

1:00P

• 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

Jorgen.Pedersen@AlliedVision.com

+1 978 394 0563

Thank you all for listening

Any Questions?