Thales partners to use big data for smarter transportation in Hong Kong

The Thales Innovation in Hong Kong and its partner the Hong Kong University of Science and Technology (HKUST) has been awarded a collaborative R&D project by the Hong Kong Innovation and Technology Commission to develop a big data platform with state-of-the-art technology. This will be used to prototype smart transportation applications, enabling current transportation challenges to be addressed: near real time crowd monitoring, predictive maintenance, etc. The Thales Innovation Hub aims to examine the c
March 24, 2016 Read time: 2 mins
The 596 Thales Innovation in Hong Kong and its partner the Hong Kong University of Science and Technology (HKUST) has been awarded a collaborative R&D project by the Hong Kong Innovation and Technology Commission to develop a big data platform with state-of-the-art technology. This will be used to prototype smart transportation applications, enabling current transportation challenges to be addressed: near real time crowd monitoring, predictive maintenance, etc.

The Thales Innovation Hub aims to examine the challenges of crowd management in transport facilities and the predictive maintenance of transport equipment in Hong Kong.

Its first project, for the Hong Kong MTR metro, which currently has large amounts of data at its disposal, began in August 2015 and aims to provide a ticketing data analytics platform to MTR for analysing the situations of train occupancy and platform crowding, in order to assist transport planning and reinforce marketing strategies. The project covers the current MTR rail network, as well as upcoming new lines and stations.

For more information on companies in this article

Related Content

  • Affordable and versatile traffic data
    January 20, 2012
    Houston TranStar, which has been collecting travel time and segment speed data using vehicle probe data since 1995, has an extensive coverage area that envelops most local commuters' daily freeway routes. However, expanding the existing Automated Vehicle Identification (AVI) system would be cost-prohibitive except for high-volume freeways. The partners of the Houston TranStar consortium needed a new method to measure speeds and travel times on arterial roadway systems and rural freeways. Instead of using co
    Read More
  • China plans more ITS deployment despite economic slowdown
    March 30, 2017
    The Chinese government is turning to ITS to help solve urban traffic congestion in the majority of its large cities. Eugene Gerden reports. China is investing an estimated 3.5bn yuan ($551 million) per year in ITS and while the country’s current economic strategy may see this decline, the government plans to continue active development of the national intelligent transport system.
    Read More
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More
  • Queensland gets the message with ST Engineering
    August 29, 2024
    Train traveller information and passenger announcements enabled via Agil system
    Read More

Highlighted Content