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ITS Data Warehousing and Data Mining

 

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  image of map showing locations of major incidents showing cumulative durations
 

Locations of major incidents showing
cumulative durations. Click image to enlarge.

 

image of map showing color-coded speed data on I-10 East during afternoon rush hour

 

Map showing color-coded speed data on I-10 East during afternoon rush hour. Click image to enlarge.

Using data mining techniques, experienced engineers at Southwest Research Institute (SwRI) unveil important trends and relationships hidden in transportation data warehouses. SwRI analysts and engineers develop and integrate technologies to enhance existing transportation management systems.

 

Data Warehousing

SwRI has many years of experience and in-depth expertise in warehousing intelligent transportation system (ITS) data. SwRI understands the complexities involved in assessing the types, sources, and uses of information needed by multiple organizations with different missions, and we are well positioned to assist diverse groups in arriving at a common solution.

 

Data that could be considered are:

  • Traffic speed data

  • Rainfall data

  • Holidays and special events

  • Device information

  • System configuration information

Possible scenarios that could be analyzed are:

  • Effect of weather on traffic flow and incidents

  • Effect of special events on traffic flow and incidents

Data Mining

SwRI has demonstrated the potential for mining large volumes of ITS data acquired by a traffic management center (TMC) using a visualization-based approach.

 

Types of intelligent transportation system data that could be mined are:

  • Speed by lanes and links

  • Lane volume and occupancy

  • Incidents by type and location

  • Dynamic message sign (DMS) and lane control signal (LCS) text

  • Sensor status

Insights provided from time-stamped archived data are potentially useful for:

  • Planning

  • Maintenance

  • Operation

  • Cost/benefit analyses

Visual Insights

Because visualization is a powerful tool for gaining useful insights into massive amounts of data, intelligent transportation system and weather data are rendered using visualization methodologies. These visualizations are based on the premise that the most useful insights will be gained by examining ITS data as they are related across space and time.

 

For this reason, SwRI has designed and implemented a graphical user interface (GUI) that facilitates mining of ITS data.

 

For more information about intelligent transportation system data warehousing and data mining capabilities at SwRI or how you can contract with SwRI, please contact Steve Dellenback, Ph.D., PMP at sdellenback@swri.org or (210) 522-3914.
 

Contact Information

Steve Dellenback, Ph.D., PMP

ITS Data Warehousing and Data Mining

(210) 522-3914

sdellenback@swri.org

Related Terminology

data mining techniques

traffic trends

data relationships

transportation data warehouses

transportation management systems

intelligent transportation systems

ITS

traffic speed data

rainfall data

traffic flow data

traffic incident data

traffic management center

Related Information

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| Intelligent Transportation Systems Department | Automation and Data Systems Division | SwRI Home |

Southwest Research Institute® (SwRI®), headquartered in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied engineering and physical sciences research and development organization with 11 technical divisions.

September 30, 2008