The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM are working together to apply fusion analytics in building a state-of-the-art public transport system in Singapore.
With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the traveling experience of hundreds of thousands of commuters.
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 two organizations will combine fare card data and information from industry partners: SMRT Corporation Ltd (SMRT) will provide the video data from select MRT stations; and StarHub will provide anonymized 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.
“Through this research collaboration with IBM, SMRT and StarHub, we endeavor 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," said LTA's Chief Executive Chew Hock Yong.