KTH – Royal Institute of Technology

Analyzes real-time data streams to identify traffic patterns

Published on 25 Apr 2011

Validated on 14 Aug 2013

"Analyzing large volumes of streaming data in real time is leading to smarter, more efficient and environmentally friendly traffic in urban areas." - Haris N. Koutsopoulos, Head of Transportation and Logistics, Royal Institute of Technology, Stockholm, Sweden

Customer:
KTH – Royal Institute of Technology

Industry:
Education

Deployment country:
Sweden

Solution:
Big Data, BA - Business Intelligence, Data Warehouse, IBM Research, Information Governance, Information Integration, Learning and Training, Smarter Planet, Collaborative Innovation, Green/Sustainability

Smarter Planet:
Smarter Education

Overview

Analyzing large volumes of streaming data in real time is leading to smarter, more efficient and environmentally friendly traffic in urban areas

Business need:
Researchers at KTH, Sweden’s leading technical university, gather real-time traffic data from a variety of sources such as GPS from large numbers of vehicles, radar sensors on motorways, congestion charging, weather, etc. The integration and analysis of the data in order to better manage traffic is a difficult task.

Solution:
Collected data is now flowing into IBM InfoSphere Streams software—a unique software tool that analyzes large volumes of streaming, real-time data, both structured and unstructured. The data is then used to help intelligently identify current conditions, and estimate how long it would take to travel from point to point in the city, offer advice on various travel alternatives, such as routes, and eventually help improve traffic in a metropolitan area.

Benefits:
-Uses diverse data, including GPS locations, weather conditions, speeds and flows from sensors on motorways, incidents and roadworks -Enters data into the InfoSphere Streams software, which can handle all types of data, both structured and unstructured -Handles, in real time, the large traffic and traffic-related data streams to enable researchers to quickly analyze current traffic conditions and develop historical databases for monitoring and more efficient management of the system

Case Study

The Royal Institute of Technology (abbreviated KTH) is a university in Stockholm, Sweden. KTH was founded in 1827 as Sweden’s first polytechnic and is with Aalto University School of Science and Technology in Espoo, depending on definition, Scandinavia’s largest institution of higher education in technology and one of the leading technical universities in Europe.

The Opportunity
Researchers at KTH, Sweden’s leading technical university, gather real-time traffic data from a variety of sources such as GPS from large numbers of vehicles, radar sensors on motorways, congestion charging, weather, etc. The integration and analysis of the data in order to better manage traffic is a difficult task.

What Makes It Smarter
Collected data is now flowing into IBM InfoSphere Streams software—a unique software tool that analyzes large volumes of streaming, real-time data, both structured and unstructured. The data is then used to help intelligently identify current conditions, and estimate how long it would take to travel from point to point in the city, offer advice on various travel alternatives, such as routes, and eventually help improve traffic in a metropolitan area.

Real Business Results
-Uses diverse data, including GPS locations, weather conditions, speeds and flows from sensors on motorways, incidents and roadworks
-Enters data into the InfoSphere Streams software, which can handle all types of data, both structured and unstructured
-Handles, in real time, the large traffic and traffic-related data streams to enable researchers to quickly analyze current traffic conditions and develop historical databases for monitoring and more efficient management of the system

For more information
Please contact your IBM sales representative or IBM Business Partner. Visit us at: ibm.com/education

To learn more about KTH – Royal Institute of Technology visit:
www.kth.se/?l=en_UK

Components

IBM products and services that were used in this case study.

Hardware:
BladeCenter H Chassis, BladeCenter HS22, Storage: DS3400

Software:
InfoSphere Streams

Operating system:
Linux

Legal Information

© Copyright IBM Corporation 2011 IBM Corporation 1 New Orchard Road Armonk, NY 10504U.S.A. Produced in the United States March 2011All Rights Reserved IBM, the IBM logo, ibm.com, BladeCenter and InfoSphere are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml Other company, product or service names may be trademarks or service marks of others. The information contained in this documentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this documentation, it is provided “as is” without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this documentation or any other documentation. Nothing contained in this documentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM (or its suppliers or licensors), or altering the terms and conditions of the applicable license agreement governing the use of IBM software. BLC03060-USEN

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