Position paper Artificial intelligence in Mobility and Transport
Densely populated cities, an infrastructure suffering from congestion, the need for far-reaching reductions in harmful emissions, but also unexpected urgencies in logistics chains and mobility such as now the Corona virus, expose the complexity and limits of transport and mobility. Conventional ways of working now often fall short, but Artificial Intelligence (AI) offers the possibility to deal with this and provide solutions.
TNO wrote the position paper "Artificial Intelligence in Mobility and Transport" on behalf of TKI Dinalog. The paper was presented by Albert Veenstra, director of TKI Dinalog, to the Dutch AI Coalition as an agenda for the Netherlands in Mobility and Transport.
"The challenge is to have a strong focus in the Netherlands, identifying promising lines of research, building on the strong Dutch AI knowledge and solutions and the specific context in mobility and transport."
Download hier de position paper:
Artificial intelligence
Artificial Intelligence consists of adaptive systems that exhibit intelligent behaviour usually reserved for humans. That is, systems that can perceive and reconstruct their state and environment (sensing), analyse and predict (thinking) and, with some form of autonomy, (independently) make decisions, give advice or actually take action (acting). An elementary aspect for AI is learning from data. For complex mobility and transport systems, making use of large amounts of available data for AI applications is also crucial. This makes it possible to identify and implement the best possible decisions at the system level. From an AI perspective, mobility and transport can be divided into two levels: On the one hand, people and objects, such as road users, vehicles, cargo and infrastructure. On the other hand, systems and processes, such as supply chains, traffic centres, traffic, policy and regulation.
Opportunities for AI in mobility and transport
Christian van Ommeren, Logistics Consultant TNO: "Potentially, AI can contribute to the development of an integrated mobility and transport system that uses new technology to both strengthen our economic position and improve our social context. Promising application areas for a safer, more sustainable and efficient system include self-driving vehicles, smart electric charging, predictive maintenance, self-learning energy and emissions management, cooperative mobility, shared mobility and self-organising logistics."
Veenstra: " With this position paper with strategic lines, we are contributing to the AI Coalition. Now it is a matter of joining forces as a sector in public-private cooperation. A working group can now formulate concrete objectives and identify and prioritise sub-areas where we will first accelerate AI-driven innovation. En passant, AI can thus make an excellent contribution to integrating the currently often isolated activities of passenger transport, logistics and traffic management."
