Following the guidelines for Data Spaces provided by Gaia-X, the objective of this service is to provide a digital ecosystem for the network-wide collection, exchange, integration and fusion of data across the multiple stakeholders involved in multi-modal transport network and traffic management, in a trustworthy, safe, (cyber)secure and interoperable way. This service will be also used to feed the next two services and to expose data or information produced by the other two services.
The aim of this service is to provide traffic managers with an overview of the current and future short-term status of the entire transport network, including both passenger and freight. To this end, the system will allow the visualisation of geo-referenced information, graphs and performance indicators. In a more specific way, this cooperative dashboard service will provide the following functionalities:
Transport supply monitoring and prediction, including traffic, public transport, freight and new mobility services (bike sharing, scooter sharing, etc.).
Transport demand monitoring and prediction also including traffic demand, public transport, freight demand and new mobility services.
Incidents and non-recurrent events monitoring and detection, for the visualization and early detection of foreseen and unforeseen events, including bottlenecks.
This Dashboard will be shared among the different stakeholders of the transport network, with access to information and permissions adapted to each profile, with the aim of creating a good Situational Awareness that facilitates the resolution of incidents. Furthermore, this service will introduce:
a) a social media-based personalized travel information service, that informs travellers and citizens about restrictions and travel alternatives in the region and
b) a Cooperative Intelligent Transportation Systems (C-ITS) service that provides travellers of connected vehicles with coordinated information, guidance, warnings and routing/re-routing advice, based on the currently active multimodal traffic management scenarios.
The aim of this service is to support traffic managers at both operational and tactical level to better balance demand and capacity of the transport network considering multi-modal passenger and freight flows. To this end, this service will support them for selecting the best response plans/intervention both in day-to-day operations and in dealing with major foreseen and unforeseen events to improve safety, security, resilience and overall performance of the entire transport network. This will be achieved by the orchestration of the data analytics, algorithms, models and techniques developed in the project. In addition, the response plans provided by this service will have a cooperative approach, as it will involve the coordination of actions of different stakeholders, in order to make the response completer and more robust. To this end, the system will also consider the preferences and trade-offs of the actors involved. This service will include the following sub-services: