Transport operators in the road, rail, air and maritime sectors are tasked with optimising and maintaining service levels. When it comes to real-time tactical decision making, operators need to know the state of the world now, and in the near future, to choose the most effective action to take. Often this requires data not only of conditions in their own sector, but of events in other sectors (e.g. how a road closure might mean a short-term peak in rail usage), and events outside of the transport network.
Transport users are implicitly and explicitly generating data about their position, transport plans and even their attitudes towards the transport service. They can also be an important source of other additional information about conditions around them (e.g. reporting delays or adverse weather). Already, there are examples of how this data is generated, whether that be generating data on car movements (ref) or the rather more low-tech example of listeners ringing in to offer updates for radio travel reports.
However, there are a number of challenges to integrating such data into transport decision making
As part of the Horizon transport theme, the transport decision-making project will look to explore these challenges by identifying a number of use cases where user data could support real-time transport operations.
Through this process we aim to deliver
This process will involve close collaboration with a number of transport operators, transport stakeholder and transport user representatives from across transport domains, and across the personal, commercial and freight transport sectors.
For more information contact Robert.Houghton@nottingham.ac.uk