As big data concepts have germinated, and are combined with new and improved data visualization techniques and faster processing capabilities, the opportunity to inject intelligence into ITS has finally emerged. Users for the first time have the tools available to data mine, actively spotting trends which were nearly impossible previously. While the introduction of wide spread ANPR has been reasonably slow, both camera and ANPR technology has become mainstream. In addition, this same camera when used in conjunction with clever software can also: identify wrong way running, speed enforcement, Amber, Silver and LEO alerts, average speed analysis, objects in a road, vehicle classification and a host of other capabilities, which would otherwise require a barrage of additional sensors. The dawn of integrated ANPR solutions is upon us, these systems have been widely used in a variety of applications from congestion charging to open road tolling, and have been proven to be robust, reliable, and accurate – with many vendors offering systems with accuracy level well in excess of 95%, even in free-flow environments. This presentation identifes how ANPR compares to other sensor technologies, identify the areas where ANPR can and will make a difference as well as identify limitations in the current ITS philosophies.

1. Will camera technology
combining ANPR become a
standard ITS data sensor?
www.alliedvision.com

2. • An overview of current technologies
• An insight into where cameras are traditionally being used in ITS
• An overview of where cameras technology is heading
• How sustainable and cost effective solutions could be implemented
• The major issues facing the use of camera technologies
• A view of the short-term future
• The challenges yet to come.
• Conclusion
Agenda

3. What is ITS?

4. What is ITS?
Intelligent Transportation Solutions
Everything to do with all modes of
traffic and transportation

5. Current technologies – General and Specific

6. General – Cannot identify a specific vehicle
Current Sensor Technologies - General
1. Loops – the most prevalent ITS
data collection sensors
2. Magnetic pucks – Purported to
have a 7yr MTBF
3. Radar – Used as an ITS sensor
and also in combination with
cameras for enforcement

7. Specific – Vehicle identification technologies
Current Sensor Technologies - Specific
1. Blue-tooth data
2. Floating Vehicle Data
3. Toll Tag readers

8. Traditional ITS Camera Applications

9. The future of Cameras and ANPR
1. ITS Data Collection
1. Speed
2. Occupancy
3. Volume
4. Vehicle Classification
5. Wrong Way Running
6. Debris on Road
2. New Systems
1. Transponder-less Open Road tolling
2. Security Operations
3. Safety Operations
3. Smart Operations
1. Integrated ANPR Solutions
2. Automated Analysis
3. Operator Flagging

10. Current ITS Systems Limitations
ITS is suffering from:
1. Proprietary Environments
2. Limited data available
3. Limited Intelligence
4. Limited Automation
5. Inability to effectively data mine
6. Inability to undertake time-stop data analysis
7. Management Telematics
Preventing the ability to Actively Manage the Transport Environment

11. What is a Sustainable ITS System
What Will a Camera Offer?
1. An inexpensive sensor able to collect data from every passing vehicle
2. The ability to collect data from more locations
3. The ability to deliver full Origin-Destination modeling
4. The ability to understand what has happened (Historic)
5. The ability to understand what is happening (Real-time)
6. The ability to understand what will happen (Predictive)
7. The ability to analyze
8. The ability to manage
Enabling the transition from Passive Monitoring to Active Management

12. The Major Issues facing ANPR
Privacy
Communications networks
Camera management
The cost of ANPR software
New technological applications

13. A peak into the future

14. What does this mean for ANPR applications
• Increased resolution
• Increased frame rates
• Reduced bandwidth
• Buffering
• Sequencing
• HDR / WDR
• Ability to see in almost any conditions
• A multi-use multi application device
• Access to collect all data
• The provision of a microscopic data model
• Pre-Processed data
• Operator Triggering
• Automation
• Prediction

15. Foreseeable Issues with this approach
• Advanced Traffic Management Systems (ATMS) Integration
– Level of data
– Data mining tools (big data)
– Data visualization tools
– Decision Support Systems
• Event triggering
• Scenario development
• Automated response plans
– Predictive data introduction
– Camera locations
– Trusting the data
• Privacy
• Change Management
– Transitioning from enforcement to management
– Transitioning from enforcement to safety

16. Will Cameras become a standard ITS sensor?
• It is very likely
• It will however require back-end systems changes
• It will require a more automated environment
• But this level of data will be unsurpassed:
– even when the connected vehicle comes into effect.
• It will truly enable active management and therefore also open up the opportunity of:
– Integrated Corridor Management (ICM)
– Smart Transportation
– Smart City
– Active Traffic Management

17. Jorgen Pedersen
Business Development Manager (ITS)
Allied Vision
Jorgen.Pedersen@AlliedVision.com
+1 978 394 0563
Thank you all for listening
Any Questions?