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Using data analytics to manage train disruptions

3/06/2014 by


DATA from video footage in train stations, telecommunications and fare cards will be used in combination to help the authorities manage train breakdowns more effectively down the road.

The Land Transport Authority of Singapore, SMRT Corporation, StarHub and IBM have banded together for a two-year research project aimed at developing more rapid response times and better crowd management during train breakdowns.

The study, announced yesterday at the World Cities Summit, has been named Faster, which stands for Fusion Analytics for public Transport Emergency Response.

Under this, SMRT will provide video data from selected MRT stations to help with crowd counting on trains and in areas within and without the stations. SMRT will also provide fare card data, which gives mobility insights – such as the start and end points of the journey and the mode of public transport – to derive patterns in travel movements.

StarHub will pitch in with anonymised telecommunications data to refine journey patterns by pinpointing true origins and destinations of commuters before reaching or after leaving the train stations and bus stops.

The three data sets will be integrated and analysed using IBM’s Intelligent Operations Centre software, which was created for cities to deliver better citizen services by tapping into available information. Merging these data sets will give transport operators real-time situational awareness of the transport network.

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