Advances in traffic management and cooperative systems
TEMPO will create a basis for new approaches to distributed traffic management CPSs that will facilitate the introduction of cooperative vehicles without sacrificing vehicle safety or the robustness of the traffic network. Using the improved Overture technology to model the traffic management network as a CPS and demonstrate its migration to a distributed CPS demonstrates its potential prior to costly implementation.
The project furthermore addresses smart, green and integrated transport. Improvements in the management of traffic have direct impacts on commerce (time and cost of moving goods and people can be optimised) and on the environment (fuel burned can be decreased). Success here paves the way for future expansion of TMSs, allowing them to adapt new products and technologies more easily.
Internet of things: in-car devices
TEMPO also addresses future direct interaction with in-car devices, moving a step closer to incorporating such devices into the network. In-car devices, if widely adopted, would produce a population of drivers capable of making well-informed decisions about environmental impact and transport costs. It is the hope that the project will identify possible recommendations for relevant European and national data standards (DATEX II and DVM-Exchange) to accommodate decentralisation and distribution of control.
Tools for CPS support
TEMPO will extend Overture with 2D and 3D visualisation libraries supporting localisation in a way that will make it available for all the tools in this suite. This will be based on existing 2D graph technologies and 3D plugins. The libraries will enable modellers using the Overture framework to assign to objects a physical appearance and a location that can be used to move the object independently of the other contents of the object in 2D or 3D space. It will be possible to explore a collection of scenarios where the position of the objects will vary over (simulated) time.
We also envisage that, at the end of the project, we will be able to augment the interpreter to act on conditions defined by the user for events happening in the localisation libraries as in reactive programming. In this way it will become possible to model dynamic reconfiguration of a network of vehicles controlled either with a central or a distributed controlled TMS solution and dynamically adopt the control strategy to the circumstances. It will also be possible to visualise the simulations with the 2D and 3D libraries for stakeholders who have less technical background.
Expansion to other domains
In addition, we envisage that the new 2D and 3D libraries may be exploited in many other application domains afterwards. This will, in particular, be in CPS applications where physical objects move and dynamically restructure their communication channels in an intelligent distributed control setting. This is for example in an agricultural setting where multiple vehicles (or drones) need to collaborate about a common task that may change during the operation. In these cases a centralised control strategy may have severe limitations that a decentralised solution may enhance if and only if one understands the possibilities for vehicle to vehicle communication and the information that needs to be communicated as the situation changes and the physical location of the different vehicles change dynamically.