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Traffax Inc

January 27, 2015

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Traffax Inc  Corporate Headquarters in College Park, MD Units sold and used in 37 US States, DC, Puerto Rico,  Australia, Canada, Spain, France, the Netherlands and Brazil.

Completed 2 research projects for FHWA with 1 ongoing

Technology developed at University of Maryland, used first to validate INRIX data

Licensed technology from UMD  Now covered by two issued US Patents

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• Basic Operating Concepts• Advantages and Disadvantages• Applications and Trends• Sample Projects• Questions/Answers

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Bluetooth Traffic Monitoring

2 miles

Bluetooth Sensors

* Bluetooth signals come from cell phones, PDAs, laptops, GPS, car radios…** Patents received

BluetoothSignal *

Time = 8:03:26 AM

Time = 8:05:58 AM

Travel Time = 2:32 MinutesSpeed = 51.7 MPH

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Time of Day

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Data from many cars …

Actual Travel Time Data from I-95 Northbound on April 2

One Car’s Data

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Data from many cars …

Actual Travel Time Data from I-95 Northbound on April 2

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Basics Most traffic data is derived from re‐identifying vehicles upstream and downstream

Sensors detect what is in their detection zones Detection zones

Sized to ‘catch traffic’ Shaped by power, gain, and type of antenna

Software creates information from raw data

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Bluetooth Detection Range – Class 1 Omni

300 ft radius

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Bluetooth Detection Range – Class 1 Omni

300 ft radius

DANGER – THIS IS JUST A MODELA SIMPLISTIC VIEW OF REALITYACTUAL PERFORMANCE VARIES

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• Basic Operating Concepts• Advantages and Disadvantages• Applications and Trends• Sample Projects• Questions/Answers

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Variables to Detection Efficiency BluFax Detector

Power Rating ‐ Class I or II Antenna Type ‐ Isotropic, Omni, Directional Mounting – Orientation, Height, Distance Environment – Obstructions, reflections

Probe Power Rating ‐ Class I, II, or III Location – line of sight or obstructed Speed

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Outlier / Variance Factors  Complexity of Network Availability of Services Alternate Modes Traffic Control Congestion & Incidents

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Simplified Model

Travel time is measured by time difference between detections at A and B

Traffic volume is estimated by factoring number of traversals between A and B by the sampling rate

Sensor A Sensor B

Length = Lmiles

Sensor A Sensor B

Length = Lmiles

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Closer to Reality …

Sensor A Sensor BFreeway

City Streets

Sensor A Sensor BSensor A Sensor BFreeway

City Streets

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Closer to Reality …

Sensor A Sensor BFreeway

City Streets

Sensor A Sensor BSensor A Sensor BFreeway

City Streets

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Closer to Reality …

Sensor A Sensor BFreeway

City Streets

Sensor A Sensor BSensor A Sensor BFreeway

City Streets

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Closer to Reality …

Sensor A Sensor BFreeway

City Streets

Sensor A Sensor BSensor A Sensor BFreeway

City Streets MCD’s

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Disadvantages Data is Messy

Complexity of Network Availability of Services Alternate Modes Traffic Control Congestion & Incidents Non traffic detections

Sampling instead of Measuring Hardware solution

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Advantages Inexpensive compared to other options Fast –

Roadside to travel time calculation under 2 minutes Responsive as conditions change Is reliable at lower AADTs than other technologies Builds a historical data set Incremental Buildout Easy redeployment Data is messy

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• Basic Operating Concepts• Advantages and Disadvantages• Applications and Trends• Sample Projects• Questions/Answers

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Trends Trends effecting number of probes

Smart phone adoption high iPhones  limit Bluetooth for battery life Android phones have leading market share

More Bluetooth in Cars  Hands free operation regulations spreading Feature moving down into all market segments of new vehicles Tend to be always detectable 

More Bluetooth appliances Speakers Games

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Trends More Trends

Vehicle life has a long tail After market Bluetooth items continue to be added  Data driven decision making by govt agencies

Improved operations Impact

Increased Urbanization and need to get better utilization from existing roads

Time shifting and hopefully route shifting Wi‐fi perceived to be easier hack than Bluetooth

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Applications for BTM Operational

Dynamic Travel time signs Condition  Alerts  After Action data Reporting

Planning Data store showing usage patterns Before and after results

Improved Decision Making Monitoring is an enabling technology not an end in itself.

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Data Analysis ModesReal‐Time Post‐Processing

Latency is driving factor Estimate is based on all data 

before time of interest An estimate needs to be made 

at all times Smoothing and outlier 

rejection is critical Feed management systems

BluFaxWeb

Driven by engineering requirements

Precision and traceability is driving factor

An estimate is based on data before and after time of estimate

Outlier rejection is critical

BluSTATS

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• Basic Operating Concepts• Advantages and Disadvantages• Applications and Trends• Sample Projects• Questions/Answers

I-695 & I-95INTERCHANGE TURNING MOVEMENTS

BLUETOOTH INSTRUMENTATION

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I‐95 and I‐695 Interchange near Baltimore

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Validation of Inrix Travel Time Data 

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PA O/D and Travel Time Study51 miles of I-95, including 38 interchanges.

28 days of data collection

Origin-destination matrix for all valid links:- AM Peak- Average weekdays- PM Peak – Average weekdays- Weekend- Average 12PM to 1PM

Exit by Exit O/D for all associated movements:- Total – 28 days.- Average AM & PM Peaks – Weekdays.- Average – Noon- 1PM – Weekends.

Travel times NB and SB I-95 by segment, by hour for study period.

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Arterial Variance – Rt 1 PA

12:00 00:00 12:00 00:00 12:00 00:00

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Travel Time for segment 7F1-C3A AC to AA

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24-Aug-2010

Travel Time DataOutliersMean

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Washington DC Demo Sensors placed along Georgia Avenue / 7th Street Corridor 7th and Indiana Ave 7th and F Street 7th and K Street 7th and S Street

Data collected from  7PM, Thursday, July 2 7AM, Sunday, July 5

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Washington DC Demo Sensors placed along Georgia Avenue / 7th Street Corridor 7th and Indiana Ave 7th and F Street 7th and K Street 7th and S Street

Data collected from  7PM, Thursday, July 2 7AM, Sunday, July 5

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Spike in traffic due to exodus from fireworks display

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18 21 24 3 6 9 12 15 18 21 24 3 6 9 12 15 18 21 24 3 6 9 120

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20Travel Time for segment C38-C6E 7th - F Street to Indiana Ave

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Hour of day from 02-Jul-2009 to 05-Jul-2009

Travel Time DataOutliers

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35July 17, 2009

18 21 24 3 6 9 12 15 18 21 24 3 6 9 12 15 18 21 24 3 6 9 120

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Travel Time DataOutliers

Vehicles

Pedestrians

Other

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Representative Applications and Locations Indianapolis IN ‐Monitoring Winter Operations Flagstaff AZ ‐Travel Times for Alternative Routing Brisbane, QLD, Australia ‐ Travel Times on Toll Facilities Philadelphia PA – Intersection Turning Movements, I‐95 Travel Times Calgary Alberta – Travel Time Information to Airport Jacksonville FL – Signal Timing Analysis Rockville, MD – Interstate and Arterial Interaction Riverside, CA – Model Proposed Congestion Mitigation Salt Lake City UT – Work Zone Travel Flow Management Houston, TX – Airport Traffic Analysis Chandler AZ – Real‐Time Traffic Monitoring Suburban MD – Interstate Travel Times I‐78, NJ – Ramp Metering Evaluation, travel time thru interchanges.

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pcarnes@traffaxinc.com