This webinar will shed light on how MTR leverages on the use of innovation and technologies to achieve its mission to deliver "Smart Mobility" and "Smart Maintenance".
With an aim to deliver a more seamless, digitalised and personalised end-to-end travel experience to customers, MTR has been enhancing its MTR Mobile App to create more values to the customers' journey including the use of end-to-end journey planner, real-time next train/bus information, taxi ordering and personalised content. In addition, smart QR Code ticketing, enhanced real-time passenger information, digitised station processes and customer service robots have been launched to enrich customer experience.
To maintain its world-class railway safety and reliability performance and continue to seek improvement, MTR has been leveraging on the application of innovation and technologies to enhance railway safety, train service reliability and recovery response and to realise its "Predict, Prevent and Prioritise" smart maintenance strategy. Digital engineering including the use of smart and high-precision sensors and sophisticated data analytics have been adopted to measure real-time train and track performance and thereby triggering immediate actions when early failure symptom or adverse trend in parameters is detected. A Data Studio has been established to extensively apply data analytics, video analytics, AI and cloud technology to assist maintenance teams in optimisation of maintenance plans and monitoring of asset health conditions, and to facilitate OCC and station staff to monitor at-risk passenger behaviours at stations and platforms. Smart Safety App with the use of QR Code has been launched to shape staff behaviours in the execution of railway safety rules, and to optimise the non-traffic hours working window.
Members and friends are welcomed. Come and join us for meeting fellow professionals online!
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Date: 16 Sep 2021 (Thu)
Time: 6:00-7:30pm (Registration starts on 5:30pm)
Venue: Online with ZOOM
CPD: 40 points (for CILTHK members)
FREE admission
Medium: English
Quota: 100
Enrolment Deadline: 13 Sep 2021