How AI and Predictive Analytics are Quietly Transforming Modern Rail Operations
Keolis MHI Rail Management and Operation LLC is a consortium formed by Keolis, Mitsubishi Heavy Industries Engineering, and Mitsubishi Corporation. Keolis MHI is part of the Keolis Group, which operates across four continents-Asia, Europe, America, and Australia. The Group provides a wide portfolio of mobility services, including trains, trams, public buses, with over 68,000 employees worldwide, Keolis is a global leader in shared and sustainable mobility.
With a dedicated workforce of more than 1,700 employees trained to the highest international standards, Keolis MHI is committed to enhancing the passenger experience. The company continuously raises the benchmark for health and safety, service excellence, performance, and innovation, ensuring that the Dubai Metro and Tram deliver world-class public transport services.
In this interview, Stephane de Kergorlay – Projects Innovation Director at Keolis MHI, reflects on the organisation’s leadership philosophy, its approach to innovation and sustainability, and how advanced technologies and a passenger-centric culture are shaping the future of rail transport in Dubai.
What does the concept of “invisible technology for visible safety” mean in the context of modern rail operations?
In modern rail operations, most systems visible to passengers are safety critical assets designed under stringent standards. Invisible technology refers to advanced digital systems such as Artificial Intelligence, advanced algorithms, and data analytics, that operate in the background.
While passengers experience the “visible” outcomes, smoother journeys and high reliability, the “invisible” work involves analysing massive data volumes in real-time to detect anomalies and prevent incidents. The goal is to embed innovation so deeply into operations that passengers can travel with total confidence without needing to understand the underlying complexity.
How are artificial intelligence and predictive analytics reshaping rail security and passenger safety?
Artificial intelligence and predictive analytics are transforming rail operations by shifting safety and security from reactive responses to proactive and preventive strategies.
In security, AI enhances situational awareness through intelligent video analytics, behavioural pattern recognition, and anomaly detection. By analysing real-time data from CCTV systems and sensors, these technologies can identify unusual activities or potential threats much earlier than traditional monitoring methods, enabling faster and more precise interventions.
On the safety side, predictive analytics leverages data from trains, infrastructure, and environmental systems to anticipate risks before they escalate. AI-powered models can forecast equipment failures such as track defects or power anomalies allowing maintenance teams to act well in advance, significantly reducing disruptions and safety incidents.
These systems operate silently but effectively, delivering tangible benefits: safer journeys, fewer delays, and increased passenger confidence. In essence, AI acts as a “silent guardian,” continuously learning and adapting to enhance safety without adding complexity to the passenger experience.
Can you share examples of innovative technologies that enhance safety while remaining seamless and unobtrusive?
Several advanced technologies are already playing a crucial role in enhancing rail safety without impacting the passenger experience. Condition-based monitoring systems continuously assess the health of tracks and infrastructure, detecting wear or defects early and enabling predictive maintenance without disrupting operations.
Similarly, remote monitoring of platform screen doors and rolling stock ensures that safety-critical components remain reliable through real-time diagnostics. AI-powered CCTV systems improve both safety and crowd management by identifying overcrowding or abnormal situations in real time, without requiring direct passenger interaction. In addition, automated drone inspections are increasingly used in tunnels and other hazardous or hard-to-access areas, improving inspection quality while reducing risks to personnel. In non-automated systems, discreet driver fatigue monitoring technologies enhance operational safety by detecting signs of reduced alertness.
Together, these innovations work seamlessly in the background, ensuring visible safety outcomes without intruding on the passenger journey.
How is data integration improving incident prevention and crisis response across transport systems?
Data integration is becoming a cornerstone of modern rail safety and resilience. Today’s transport systems are highly interconnected, with rolling stock, infrastructure, signaling, power, and security systems all generating vast amounts of data. When these data streams are integrated, they provide a comprehensive, system-wide view of operations.
This enables operators to identify emerging risks, detect potential cascading failures, and take proactive measures before incidents occur. During crisis situations, integrated platforms offer a real-time, unified operational picture. This significantly improves coordination, accelerates decision-making, and enhances response effectiveness.
In short, data integration transforms fragmented information into actionable intelligence enabling smarter, safer, and more resilient transport networks.
The UAE is recognised for adopting cutting-edge infrastructure. How do you see the region shaping the future of rail safety and security?
The United Arab Emirates is uniquely positioned to lead the future of rail safety and security, thanks to its strong government vision, sustained investment, and collaborative innovation ecosystem. What sets the UAE apart is its ability to bring together public authorities, operators, global technology providers, startups, and academia under a unified long-term strategy. This creates an environment where safety, resilience, and digital transformation are embedded from the very beginning of infrastructure development. Rail networks in the UAE increasingly act as “living laboratories,” where new technologies and operational models can be deployed, tested, and refined at scale. This is further strengthened by close collaboration between regulators, operators, and innovation partners, ensuring that new solutions meet the highest safety standards while remaining operationally effective.
Looking ahead, the UAE is expected to lead in system-wide, data-driven safety approaches, supported by digital platforms, simulation tools, and integrated operational frameworks setting global benchmarks for the industry.
What innovations or security trends do you expect to define the next decade of rail transport?
The next decade will see rail systems become more integrated, predictive, and intelligence-driven, closely connected to broader smart city ecosystems.
One of the most significant innovations will be the adoption of digital twins’ real-time virtual representations of rail networks that allow operators to simulate scenarios, optimise performance, and improve decision-making. These platforms will increasingly be shared across stakeholders, enabling coordinated responses across multimodal transport systems and emergency services. Rail safety will continue evolving toward predictive risk management, supported by advanced analytics and full data integration across systems.
Meanwhile, security will increasingly focus on digital trust and resilience, with technologies such as blockchain ensuring secure data exchange and emerging quantum-safe solutions protecting critical infrastructure from future cyber threats.
Together, these advancements will position rail as a central pillar of smart, connected cities delivering safer, more secure, and highly resilient mobility for future generations.
How does Keolis MHI leverage its international expertise while adapting to local operational and cultural environments?
Keolis MHI combines global expertise with deep local understanding to deliver mobility solutions that are both world-class and culturally aligned.
Drawing on the international experience of the Keolis Group, the company adapts the best global practices in safety, operations, and customer experience to meet local needs ensuring relevance and long-term sustainability. People are at the heart of this approach. By investing in local talent through training, knowledge transfer, and leadership development, Keolis MHI empowers its teams to take ownership while benefiting from global standards. At the same time, strong partnerships with technology providers, industry leaders, and startups enable continuous innovation and agility. This collaborative ecosystem ensures that solutions are not only cutting-edge but also practical and scalable.
