Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Monitoring traffic in Singapore using telco data

Thomas Holleczek (Singtel)
11:50am–12:30pm Wednesday, 12/02/2015
IoT and Real-time
Location: 324 Level: Intermediate
Average rating: ****.
(4.36, 11 ratings)

Prerequisite Knowledge




  • Understanding how people use transportation is important for the operation and future planning of underlying transport networks
  • We have therefore developed a traffic measurement system that monitors subway and expressway traffic from telco location data. The system reports, at hourly intervals, the utilization (and congestion) of subways and expressways as well as expected travel times


  • The traffic measurement system is built on top of state-of-the-art big data technologies such as Spark, Kafka, and Solr to process telco location data

Data Science

  • We use a probabilistic model to map telco location data onto the subway and expressway network of Singapore, and detect individual trips
Photo of Thomas Holleczek

Thomas Holleczek


Dr. Thomas Holleczek is a data scientist at DataSpark in Singtel. His research interests include big data analytics, machine learning, ubiquitous computing, wearable sensors, and traffic models. Prior to joining Singtel, Thomas worked at MIT SENSEable City Lab as a postdoctoral associate. He holds a Ph.D. in information technology from ETH Zurich and an MSc in computer science from the University of Erlangen-Nuremberg.

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Picture of Sai Venkatesh
Sai Venkatesh
12/28/2015 10:02am +08

Hi Thomas,

I could not able to attend your session. Request you to share any link where i can get the PPT / PDF of your presentation.