Smart Mobility and Intelligent Transport System – A framework for an effective and immediately implementable Smart Road Infrastructure.
The considerable increase in traffic generates serious problems in terms of congestion, safety and environmental impact. Fortunately, the ICT sector offers new solutions for problems related to the transport system. Within the European framework several guidelines have been issued aimed at developing a communication system that can make the various pieces of Smart Infrastructure dialogue, while the same will be built and implemented. The experimentation that will be carried out in the next few years must therefore move in the context of the Collaborative Intelligent Transport System (C-ITS) and in the structuring of microservices that are available on the Cloud with which to interact/export/dialogue with other similar systems in a safe and intrusion proof way for the overall objective, expected in 2030, to realize those infrastructures necessary for autonomously driven vehicles. For the foregoing, the T.net Engineering team has developed the ideal framework for testing the technological solutions to guarantee different types of services and then integrate them in such a way to realize a Smart Road. The Smart Road must be able to provide a heterogeneity of services to the end users and the motorway service operators, even if not all the services will be realized directly, but the data, appropriately protected, will present a level that can also be used by third parties for the development of further applications.
The design scheme developed by T.net for ITS includes:
– The implementation of the infrastructure between vehicles (OBU) and the Road (RSU) based on the 802.11p protocol (DSRC)
– Implementation of the network infrastructure for collecting data from sensors based on an LPWAN protocol, such as LoRa.
– The creation of a broadband infrastructure for the info-tainement services on the 802.11 n/ac Wave 2 protocol, the so-called “Wi-Fi in motion”.
– An environmental monitoring network using the IOT paradigm on large areas of territory
Data collection aspect:
– Definition of Cloud Microservices for data collection – Harvesting, Storage & Analytics
– Prediction Algorithm
– Meteorological models for calculating the spread of pollutants in relation to weather conditions
– Models for calculating the asphalt/lane conditions in case of rain and wind
Data distribution aspect:
– SDN / SDR algorithms for Geobroadcasting
– M2M talking framework
– V2X talking framework