LONDON--(EON: Enhanced Online News)--Technavio’s latest research report on the rail freight transportation market in Europe provides an analysis on the most important trends expected to impact the market outlook from 2017-2021. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.
“The European rail freight transportation market accounted for 13.4% of the freight transportation market in Europe in 2016. The market growth for rail freight transportation in Europe is due to greater reliability of rail over road transportation in terms of punctuality and timely delivery of products.”
According to Sharan Raj, a lead analyst from Technavio, specializing in research on packaging sector says, “The European rail freight transportation market accounted for 13.4% of the freight transportation market in Europe in 2016. The market growth for rail freight transportation in Europe is due to greater reliability of rail over road transportation in terms of punctuality and timely delivery of products.”
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The top three emerging trends driving the rail freight transportation market in Europe according to Technavio transportation and logistics research analysts are:
- Use of big data analytics in European rail freight
- Tracking of rail freight through GPS
- Integration of intelligent systems in freight cars
Use of big data analytics in European rail freight
Freight rail operators in Europe have started using big data analytics to increase operational efficiency and overall business performance. The use of big data and relevant technologies helps provide better transparency into rail freight operations and can also help in minimizing errors and inefficiencies. Big data is usually collected through software systems and sensors that are attached to the product.
The data sources utilized are GPS units combined with weather data that can be used to ensure train safety; maintain logs, monitor arrival time and location, record speed, and calculate distance between trains. Swiss Federal Railways uses big data to schedule trains within 90 seconds of delay in arrival times. The system delivers precise, real-time information on train positions that improves SBB's system-wide view of train movements, leading to improved punctuality.
Tracking of rail freight through GPS
Big data through advanced GPS technologies allows rail operators and customers to track and trace loads in real time. The device indicates the location of the train, status of the cargo, loaded or unloaded status, and status of doors (closed or open). It also notifies operators about the internal and external temperature reading.
GPS tracking also helps in scheduling of trains and makes the delivery process more consistent. Rail freight is more punctual and reliable compared to sea and air freight. The implementation of rail advanced scheduling systems can help in the better management of traffic and maintenance of operational efficiency.
Integration of intelligent systems in freight cars
Intelligent rail freight cars are integrated intelligent systems such as telematics systems, advanced IT systems, and monitoring systems. They help store and process data on the movement of freight cars. They also record the status and conditions of freight cars. These systems also help to detect unapproved opening of doors. All this information is recorded and transmitted to all operators involved in the supply chain process. Freight cars that are installed with light sensors and advanced surveillance cameras help in the detection of unauthorized opening of doors and unloading of goods.
The digitally processed information helps dispatchers schedule freight cars in a more efficient manner. The digital information is also integrated into customers' IT systems, which helps to locate and track the position of their goods.
“Rail shipments can be tracked, starting from their point of production till they reach their destination. This has helped operators in saving costs by 25%. It has also improved supply chain planning and helped in the timely delivery of goods,” says Sharan.
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