Abstract
Connected and Autonomous Vehicles (CAVs) will play a crucial role in next-generation Cooperative Intelligent Transportation Systems (C-ITSs). Not only is the information exchange fundamental to improve road safety and efficiency, but it also paves the way to a wide spectrum of advanced ITS applications enhancing efficiency, mobility and accessibility. Highly dynamic network topologies and unpredictable wireless channel conditions entail numerous design challenges and open questions. In this paper, we address the beneficial interactions between CAVs and an ITS and propose a novel architecture design paradigm. Our solution can accommodate multi-layer applications over multiple Radio Access Technologies (RATs) and provide a smart configuration interface for enhancing the performance of each RAT.
Highlights
The introduction of autonomous vehicles will represent the biggest revolution on our roads since the advent of internal combustion engine
The IEEE 802.11p/Dedicated Short Range Communications (DSRC) [11] and its extension IEEE 802.11px [12], 3GPP’s LTE-Advanced (LTE-A) Pro [13] with its CellularV2X (C-V2X) capabilities [14] and, millimeter-wave frequency systems [15] have emerged as potential Radio Access Technologies (RATs) for V2X communications
To guarantee high system flexibility and adaptability, we propose to separate the Access Plane, encapsulating all the considered RATs, from the Control Plane, which is responsible for the data stream admission control and RAT selection
Summary
The introduction of autonomous vehicles will represent the biggest revolution on our roads since the advent of internal combustion engine. Next-generation Cooperative ITSs (C-ITSs) are expected to bring the paradigm of Mobility-as-a-Service (MaaS) to a whole new level by means of Connected Autonomous Vehicles (CAVs). Cooperation among autonomous vehicles is enabled by the sharing of sensor data and maneuvering intentions in Vehicle-to-Vehicle (V2V) and Vehicle-toInfrastructure (V2I) fashion. For these reasons, MaaS city models based on CAVs have the potential to overcome the users’ lack of knowledge and confidence, by means of intelligent route planning systems, and efficient resource allocation strategies for road systems.
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