Average Speed and Journey Time Calculations Abu Dhabi City Rawad - - PowerPoint PPT Presentation

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Average Speed and Journey Time Calculations Abu Dhabi City Rawad - - PowerPoint PPT Presentation

Bluetooth Data Collection System Average Speed and Journey Time Calculations Abu Dhabi City Rawad Hani, P.E. for Nabeel Al Zaka March 14 th 2013 Abu Dhabi Island Needs of the Abu Dhabi TMC The Traffic Management Centre in the City of Abu


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Bluetooth Data Collection System

Average Speed and Journey Time Calculations Abu Dhabi City

Rawad Hani, P.E. for Nabeel Al Zaka March 14th 2013

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Abu Dhabi Island

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Needs of the Abu Dhabi TMC

  • The Traffic Management Centre in the City of Abu Dhabi does not

have access to live dynamic and accurate data.

  • The data available to the TMC is static and is reliant on Manual

Counts, Dry Runs and the use of Floating Car Surveys

  • No view of Network and Key Corridor Performance.
  • Systems installed are legacy systems which, and are not integrated

in a cohesive manner.

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Importance of Data for Abu Dhabi TMC

  • Network performance KEY indicator
  • Assist operations to make informed decisions in real-time
  • Provide real-time travel information that can be shared with Public and other Stakeholders
  • A tool that can be used to provide a feedback loop regards the effectiveness of signal and

corridor optimisation

  • Demonstrate and measure impact of mitigation for Detours and Road Works

Real Time & Reliable Data Analysis Informed Decisions

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SLIDE 5

ITS Strategy and System Architecture

Strategy, Architecture and Implementation Action Plan – 2010 - 2030

5.1 REGIONAL ACTIVE TRAFFIC MANAGEMENT AND INFORMATION

“ Development of a centralized traffic management, information and coordination centre that will permit integrated operations of regional and urban traffic management “ 5.1.2.2 Travel Time Data Collection and Information

“Through set-up of wireless readers that can monitor signals from mobile phones or Bluetooth data from phones or vehicles which are so-equipped. This is often known as ―crowd-sourcing, since the system compares anonymous device address or signal information for consecutive locations and determines the number of matching data points.”

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Data Warehouse Vision for Abu Dhabi

Police Data Warehouse Platform Urban Traffic Control Count Sites Road Sensors CCTV BlueMAC

Multi Modal Integration

Buses Taxis GIS Security Surveillance Bluetooth

Mobile Applications Public Web Portal Journey Planner Navigation Systems

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BlueMAC – A New Type of Detection

BlueMAC System Journey Time Average Speed Origin-Destination

Device 1 Device 2

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Advantages

Detects Bluetooth signals in both directions of travel Quick deployment and configuration Mounted on existing street furniture No excavation required Solar powered GSM Communication Self Location Update using GPS

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Trials – Phase 1 – Urban Network

Determine the accuracy of travel time data collected by the BlueMAC application on arterial roads. 10 BlueMAC devices were placed over 3 main arterials

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Validation Methodology

Known MAC Address

XXXX1BEE15XX

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Results (Urban)

99% 99% 95%

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Trials – Phase 2 – Inter Urban Network

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Trials – Phase 2 – Inter Urban Network

  • Determine the data reliability on highways.
  • Determine sample size (OD).
  • Evaluate hardware performance in this region.

Results

  • 95% Confidence Level for Journey Time Data
  • 23% Capture Rate (vs RTMS)
  • Required OD Sample Size
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Trials – Phase 2 – Inter Urban Network

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Current Deployment (100 Units)

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Key Corridors

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Current Performance and Results

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Current Performance and Results

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Current Performance and Results

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Reporting – Travel Time

  • The website can auto-generate

reports and display data

  • The generated graphs have preset

filters so the most common requests are displayed in seconds

  • Two export features are available
  • Filtered results, from presets or

advance filters

  • Raw data Matches
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Travel Time Reports

Exported Results Exported Raw Matches

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Origin – Destination Reports

  • The Origin – Destination matrix can be

exported to support traffic models and assess the movement of traffic flows;

  • OD Data could be used for

development of traffic models before manual count data is acquired

  • Validated data could also support

certain modeling software such as CUBE

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Third Party Integration

Access Point Interface

  • As the DoT are actively consolidating traffic data into projects an API document has

been produced to enable third parties to access and extract data from BlueMAC at the machine level.

  • Third parties are able use the following methods to obtain data from the BlueMAC

Database server;

  • SOAP
  • REST-XML
  • REST-JSON
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Supporting Documentation

Manuals and Guides

  • To support the BlueMAC project there are four documents that outline all aspects of

the systems they include, The Functional Design Specification, Hardware and Software Manual, Maintenance Handbook and API Guide

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Conclusion

“You can't expect to meet the challenges of today with yesterday's tools and expect to be in business tomorrow”. Nelson Jackson, 1972