Requirements and characteristics of the FUTURE transport system
Regarding infrastructure, the following requirements and characteristics are key:
- Increased implementation of automatic traffic management systems and operational support systems;
- Widespread implementation of digital infrastructure protection systems and relevant equipment (safety and security);
- Promotion of greater energy efficiency in facilities and across all transport infrastructure management activity;
- Widespread implementation of infrastructure maintenance following a non-traditional approach based on a dense network of sensors installed mainly in infrastructure components, structures and equipment;
- Increased use of reliable new materials in infrastructure and equipment, such as materials with a regenerative capacity to minimize the risk of breakdowns and incidents;
- More widespread use of artificial intelligence, self-learning mechanisms and IoT in asset management;
- Renovation, construction and management of stations and secure interfaces to meet the needs of an increasingly complex, interconnected transport system based on contributions from different modes, which must also be adapted to respond to all kinds of crises, including those relating to health;
- Promotion of barrier-free access to stations, interfaces, trains, underground trains, trams, buses and other modes to guarantee reliable and fluid interconnections, while also promoting real-time public information on transport operations and direct and indirect commercial opportunities.
With respect to digital infrastructure management, we must focus on the following:
Next-generation services on public mobile networks create opportunities for powerful, engaging applications. Network coverage and standardization are also key factors for success in this area.
Satellite navigation to ensure that positioning forms an integral part of all navigation systems. Deployment of Galileo and addressing integrity are crucial for transport management.
As sensor and business data develops, big data and business intelligence tools can be used to transform data into accessible information. Forecasting and planning are the main areas of application.
Mobile computing has evolved to allow user applications to help deliver complex, IoT-based services and virtually unlimited applications through the use of inexpensive connected hardware.
In terms of equipment and the range of services, the following requirements and characteristics are key:
- Increasing the use of heavy and light smart trains, whose construction solutions, including infrastructure solutions, will be increasingly efficient, advanced and based on interconnected digital systems;
- As in the case of infrastructure, and in keeping with previous measures taken, increasing the use of systems and solutions for predictive maintenance of vehicles;
- Making significant developments in automation of transport operations;
- Ensuring the widespread use of 5G by improving the IoT and creating a more extensive commercial range of smarter transport options;
- Automating the processes associated with the movement of goods (automated robots, automatic coupling, etc.) with a particular focus on movements at logistics terminals and optimization of the costs associated with this type of transport;
- Ensuring the widespread use of digital systems supported by artificial intelligence for relationships with system users in service outsourcing, monitoring and implementation, and in the sale of products to complement transport services;
- Promoting integrated multimodal transport solutions for both passengers and goods based on digital systems and dedicated algorithms;
- Increasing shared mobility in each mode of transport and between modes while optimizing each mode’s operational management systems.
Much more could be added, but we have already covered a long list of initiatives, areas of intervention and systems to be considered and adopted in each situation.