The Land Transport Authority of Singapore (LTA), SMRT Corporation (SMRT), StarHub and IBM today announced a collaboration to apply fusion analytics to create a public transport system that will help improve the commuter experience across Singapore.

With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling experience of hundreds of thousands of commuters. This research collaboration will help Singapore develop a people-centered, intelligent and integrated public transport system designed to improve mobility and the liveability of Singapore.

The LTA and IBM will create a Fusion AnalyticS for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact.

As part of the FASTER agreement, the LTA and IBM will work together to combine farecard data and information from industry partners: SMRT who will provide the video data from select MRT stations; and StarHub will provide anonymised telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers.

LTA's Chief Executive, Chew Hock Yong, said: “Through this research collaboration with IBM, SMRT and StarHub, we endeavour to harness intelligence from the myriad of data collected and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management.”