AI and railways

The railway system is one of the most important components of a country’s economy. It is not only a cheap mode of transport, but an efficient carrier of goods as well. However, a common issue pertaining to the punctuality of trains often raises a question over the efficiency of this mode of transport. The delay in arrival of trains adds to the negative reviews of a train journey and raises the eye brows, especially when it happens in the age of science and technology.

At this juncture, the transformation of railway operations is a necessity for a sustainable future. This is where AI (Artificial Intelligence) can play a crucial role to streamline the process by ensuring train punctuality and network maintenance. The technology can undoubtedly improve the communication and decrease the friction for a seamless performance.

Many companies across the world are shaping the AI paradigm to offer solutions to such complex problems in different sectors. When it comes to solving the punctuality issues in the rail transport, a Munich-based company, Konux has the potential of bridging the gap. The IoT and AI analytics firm combines smart sensors and AI-based analytics to enable higher train punctuality and network capability, along with an extended asset lifetime and reduced cost through predictive maintenance planning and an optimized utilization of railroads.

Recently funded by global investment firm Boundary Holding, led by Rajat Khare, Konux combines machine learning algorithms and IoT to deliver software as a service solution for operation, monitoring and maintenance of process automation. It continuously monitors and analyses the health of key switch components, ensuring better maintenance planning by anticipating failures before they occur.

Nowadays, the railway network is required to combat the increasing load and aging infrastructure problem. The challenge is set to increase as global rail traffic is likely to double by 2050. Overutilization is already a major issue, increasing the reliability concerns over a longer period of time.

However, the integration of advanced technology, such as smart sensors and AI-based analytics, is all set to combat such issues and streamline the railway system. This transformation will not only increase the reliability of this lifeline of various nations, but also enhance the overall operations in the long run.


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