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People Movement Analytics

hong-kong

With an expected growth in population in Melbourne over the next 5-10 years there is an increasing need for real-time information to support MTM operations in two key areas: crowd management and trespasser detection. Currently, crowd levels are assessed visually, which is inherently prone to error. Similarly, trespasser incidents are typically reported by the public or identified by train drivers via Rail Emergency Calls (REC), resulting in delayed responses and limited situational awareness. The presentation describes a trial aimed at delivering real-time, accurate information to operations staff to inform decisions related to crowd and trespasser management. Laser Imaging, Detection, and Ranging (LiDAR) technology was selected and is undergoing a 12-month trial to validate its ability to support a shift towards a more proactive approach.

Year of Publication: 2025

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Intelligent Safety 2.0 for Light Rail Utilizing IoT, AI, Computer Vision & Data Analytics

hong-kong

The presentation provides an overview of the development of an integrated safety platform Ð aiming not just to provide intelligent functional safety, but also to provide a system-to-system collaborative platform. Systems can talk to each other for achieving intelligence from each other, providing anticipative alerts to operators, passengers and other road users Ð namely Intelligent Safety 2.0 for Light Rail

Year of Publication: 2025

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Intelligent Safety 2.0 for Light Rail Utilizing IoT, AI, Computer Vision & Data Analytics

hong-kong

The paper describes the development of an integrated safety platform Ð aiming not just to provide intelligent functional safety, but also to provide a system-to-system collaborative platform. Systems can talk to each other for achieving intelligence from each other, providing anticipative alerts to operators, passengers and other road users Ð namely Intelligent Safety 2.0 for Light Rail

Year of Publication: 2025

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Managing Major Railway Risks Effectively through BOWTIE Risk Control Diagram and Application of Innovation and Technologies

hong-kong

The paper describes the application of simple-yet-structured BOWTIE risk diagram to effectively manage and visualize the underlying causes and multiple consequence scenarios of highly complicated railway major risk scenarios, and most importantly to drive regular risk reviews and inspire continuous improvement in risk control measures.The train derailment scenario is used for illustration of the application of BOWTIE risk diagram and also the latest innovation and technologies to effectively manage this top-risk, which is a common and tremendous safety challenge for all railway operators.

Year of Publication: 2025

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Reimagining Rail Safety: Moving Beyond, with Safety Intelligence and the Adaptive Safety Learning Framework

hong-kong

The presentation explores how the concept of safety intelligence, embedded within the Adaptive Safety Learning Framework (ASLF), can enhance the rail industryÕs ability to learn, adapt, and anticipate emerging risks. Specifically, it 1. Examines how collaboration across safety-critical sectors supports the development of intelligence-based safety practices. 2. Identifies cultural challenges in rail, including balancing accountability, restorative justice, and open reporting.3. Demonstrates how lessons from aviation can be transferred to railÑ and conversely, how rail innovations may inform aviation and other industries.

Year of Publication: 2025

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Prevention of Accidents to Persons

hong-kong

The presentation provides an insight to the challenges faced in Portugal in managing public behaviour at Level Crossings. It shares a collaborative approach with key organisations across the porteguese rail sector to share good practices in managing the risks and identification of new controls. The presentation provides a number of examples where changes had been implemented at a level crossing as a result of this work.

Year of Publication: 2025

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Managing Major Railway Risks Effectively through BOWTIE Risk Control Diagram and Application of Innovation and Technologies

hong-kong

The presentation shares the application of simple-yet-structured BOWTIE risk diagram to effectively manage and visualize the underlying causes and multiple consequence scenarios of highly complicated railway major risk scenarios, and most importantly to drive regular risk reviews and inspire continuous improvement in risk control measures.The train derailment scenario is used for illustration of the application of BOWTIE risk diagram and also the latest innovation and technologies to effectively manage this top-risk, which is a common and tremendous safety challenge for all railway operators.

Year of Publication: 2025

Document: View