Skip to main content

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

  • Transportation 2.0: Detroit shows way forward
    May 25, 2018
    OEMs, suppliers, and technology firms are in a race to modernise our current transportation systems. These changes will bring about adaptations in how people fundamentally interact with transportation and how they provide and receive goods and services. What new business models will emerge from these changes? What challenges? Will modalities be combined? These are the overarching questions that are vital to prepare markets, governments, and researchers for the future. Delegates at the ITS America Annual Me
  • Cold efficiency
    July 24, 2012
    Tools to support operational decisions in winter maintenance can remove subjectivity and increase efficiency; Vaisala's Danny Johns talks about latest developments Even the presence of trees at the roadside can have an effect on temperature An effective Road Weather Information System (RWIS) network can save a local road authority or jurisdiction tens of thousands of dollars or Euros'-worth of labour and consumables in a single night. Get those winter maintenance operations right over just three or four nig
  • Receiving real time passenger information in Finland
    February 3, 2012
    David Crawford sees lively prospects for Finnish innovation
  • IBM Big Data helps Dublin improve transport operations
    May 17, 2013
    The city of Dublin is using IBM Big Data identify and solve the root causes of traffic congestion in its public transport network throughout the city, which means improved traffic flow and better mobility for commuters. Integrating data from a citywide network of sensors with geospatial data means that city officials are able to better monitor and manage traffic in real time. To keep the city moving, the council’s traffic control centre works together with local transport operators to manage an extensive ne