A Modular In-Vehicle C-ITS Architecture for Sensor Data Collection, Vehicular Communications and Cloud Connectivity

Abstract

The growth of the automobile industry in recent decades and the overuse of personal vehicles have amplified problems directly related to road safety, such as the increase in traffic congestion and number of accidents, as well as the degradation of the quality of roads. At the same time, and with the contribution of climate change effects, dangerous weather events have become more common on road infrastructure. In this context, Cooperative Intelligent Transport Systems (C-ITS) and Internet of Things (IoT) solutions emerge to overcome the limitations of human and local sensory systems, through the collection and distribution of relevant data to Connected and Automated Vehicles (CAVs). In this paper, an intra- and inter-vehicle sensory data collection system is presented, starting with the acquisition of relevant data present on the Controller Area Network (CAN) bus, collected through the vehicle’s On-Board-Diagnostics II (OBD-II) port, as well as on an on-board smartphone device and possibly other additional sensors. Short-range communication technologies, such as Bluetooth Low Energy (BLE), Wi-Fi, and ITS-G5, are employed in conjunction with long-range cellular networks for data dissemination and remote cloud monitoring. The results of the experimental tests allow the analysis of the road environment, as well as the notification in near real-time of adverse road conditions to drivers. The developed data collection system reveals itself as a potentially valuable tool for improving road safety and to iterate on the current Road Weather Models (RWMs).

A C-ITS Architecture for MEC and Cloud Native Back-End Services

“…An intra-and inter-vehicle sensory data collection system is presented in [42]. The ETSI C-ITS stack is only implemented for ITS-G5.…”

Lane-Level Map Generation and Management Framework Using Connected Car Data

“…Theodoros et al [22] proposed a system that introduces a distributed architecture platform for the continuous collection, storage, and analysis of vehicle state data. Meanwhile, David et al [23] collected real-time road environment data through a vehicle's onboard diagnostics II port and smartphone devices. These data were transmitted to the monitoring system via short-range communication technologies, such as Bluetooth Low Energy, Wi-Fi, and cellular networks.…”

Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

“…Moreover, in [46,64], the authors present the architecture and communication models of the IOT, focusing on different types of "security attacks" at different layers of "the IOT system" and "countermeasures" that can be taken, whereas in [65], the authors describe security issues in developing smart automobiles, their attacks, and solutions and categorise different types of cyber-attacks and security threats in Vehicle Ad hoc Networks (VANETS) and the IOT [66]. In [67,68], the authors explain V2X communication and the integration of sensor data from vehicles for AVs using "localised vehicular-communications", "cloud-connectivity", and "long-range-cellular-networks". In [20], the authors identify and compare the existing "Healthcare IOT (HIOT)" systems and classify them into five categories, viz., "resourcebased", "sensor-based", "communication-based", "security-based", and "applicationbased" approaches.…”