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- A secure data infrastructure for handling data produced by in-vehicle and infrastructure sensors; application of modern Information and Communication Technologies (ICT) (Cloud computing, Internet of Things (IoT), etc.); increased availability of modalities and services (including public transportation, car sharing, car2go; logistics operations, etc.); the travellers; all related to the proliferation of connected devices and systems. The data infrastructure will contain adapters based on existing and where applicable (i.e., innovative mobility services, Operational Design Domains for CAVs, etc.) new standards for all necessary data sources.
- Novel intelligent services will be realized on top of Probabilistic Stream Processing (PSP) and will generate real-time, data-driven predictions, as well as enable the identification and classification of unusual situations. These services will be developed using open-source predictive analytics libraries and extended deterministic models and will offer a multitude of components with specific functionality and computational requirements in order to support the FRONTIER’s proactivity functionality. It is envisaged that they will contain services for traffic estimation and prediction; multimodal demand projections; level of service for innovative mobility offerings (i.e. location of floating vehicles of a sharing schemes), infrastructure availability (i.e. electric vehicle charging stations, parking spaces) and event driven identification of situations of interests (i.e. bottleneck build-ups).
- An Autonomous Network and Traffic Management Engine (ANTME) engine will empower traffic operators to devise and deploy traffic management plans through different levels of automation, thus allowing the completion of complex decision taking tasks. In addition to information sharing and coordinated decision making, investment in new technologies for network control would allow agencies to manage the demand on their facilities in a coordinated fashion, with additional potential for decreased congestion and improved travel speeds along the network. Technologies such as dynamic signal timing, ramp metering, and dynamic wayfinding could streamline traffic flow through the network by balancing traffic demand across the network, improving travel time reliability and increasing average speeds.
- Assess the potential of, and devise strategies for centralised, decentralised and hybrid traffic management approaches with the inclusion of CAVs. The effects of CAV-specific traffic management functionality and the impact of dynamic definition of Operational Design Domains (ODDs) and vehicle control transferring to driver will be investigated. Scenarios of using autonomous vehicles as controllers of traffic will also be explored. The idea is the use of autonomous vehicles as moving speed limiting enablers to control the flow of traffic at urban and rural settings for e.g. easing bottlenecks on approaches to intersections in mixed traffic scenarios. The above will be trialled at the RACE testbed, where demonstrations with CAVs will take place.