An Emulation Framework for Evaluating V2X Communications in C-ITS Applications

C-ITS enhances transportation systems with advanced communication tech, enabling vehicle-to-vehicle and vehicle-to-infrastructure data exchange for real-time decision-making. The thesis explores C-ITS concepts, DSRC, and C-V2X tech, and proposes a versatile C-ITS framework for app prototyping and communication evaluation. Real-world tests and simulations validate its potential to improve road safety and efficiency, suggesting integration opportunities for stakeholders and promoting a smarter, sustainable transportation ecosystem

Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks

The authors are grateful to the Deanship of Scientific Research at King Saud University for funding this work through Vice Deanship of Scientific Research Chairs: Chair of Pervasive and Mobile Computing.Peer reviewe

Interação entre a Via Pública e Veículos através de Wi-Fi

Neste trabalho estudou-se a viabilidade da interação entre veículos e sinais de trânsito inteligentes através de Wi-Fi. Verificou-se que é adequado ter os sinais como pontos de acesso Wi-Fi e os veículos como clientes Wi-Fi. Verificou-se, ainda, que é possível a um veículo, em tempo útil, detetar as redes Wi-Fi dos sinais de trânsito ao seu redor, efetuar a ligação a um sinal, enviar e receber dados. Com o intuito de validar as propostas apresentadas nesta dissertação, foi desenvolvido um protótipo constituído por dois módulos que permite que o veículo, ao passar pelo sinal de trânsito, receba informação e a disponibilize ao condutor. A implementação da tecnologia a ser utilizada é constituída por um sistema Wi-Fi, utilizando o protocolo HTTP e o método POST. As mensagens são trocadas em formato JSON e incluem, entre outras, a posição de GPS e a velocidade do veículo, e o tipo de sinal de trânsito (por exemplo proibição ou obrigação). Utilizou-se o módulo ESP8266 para o protótipo a ser instalado no veículo e foram testados e comparados os módulos ESP8266, Raspberry Pi 2 e 3 para a integração no sinal de trânsito. Em ambiente real, o Raspberry Pi 3 revelou-se a melhor solução para integrar este sistema sem proteção na rede gerada, com uma resposta mais rápida e uma taxa de sucesso elevada a uma velocidade de 100 km/h. Definiu-se, assim, uma nova interação que pode existir entre veículos e sinais de trânsito, desenvolvendo-se um protótipo capaz servir as especificações impostas

Data Substantiation in Mobility

The world is embracing the presence of connected autonomous vehicles which are expected to play a major role in the future of intelligent transport systems. Given such connectivity, vehicles in the networks are vulnerable to making incorrect decisions due to anomalous data. No sophisticated attacks are required; just a vehicle reporting anomalous speeds would be enough to disrupt the entire traffic flow. Detection of such anomalies is vital to ensure the security of a vehicular network. This thesis proposes the use of traffic flow theory for anomalous data detection in vehicular networks, by evaluating the consistency of microscopic parameters which are derived by traffic flow theory with macroscopic views of traffic under different traffic conditions. Though little attention has been given to using traffic flow properties to determine anomalous basic safety message data, the fundamental nature of traffic flow properties makes it a robust assessment tool. The aim of this thesis is to develop a robust data substantiation framework for vehicular networks using traffic flow fundamentals. The aim is fulfilled in three objectives; (1) to provide an overview of the context in terms of existing data substantiation methods, vehicular communication, and traffic flow theory, (2) to develop data substantiation models to detect anomalies irrespective of the cause of the anomality, and (3) to assess the applicability of traffic flow theory for data substantiation in vehicular networks. Chapters 1 and 2 are introductions and literature reviews respectively. The first main chapter describes the context of vehicular networks, traffic flow theory, and the intuition of applying traffic flow theory for substantiation in vehicular networks. The next three chapters elaborate, formulate, demonstrate, and evaluate the use of macroscopic views of traffic to substantiate microscopic data in vehicular networks. The first of these discusses the use of steady state conditions in traffic flow theory to substantiate data in vehicular networks, and the second describes the use of shockwave theory in traffic to substantiate data in vehicular networks. The third chapter develops a data substantiation model utilising localised views of traffic to provide an additional resolution to the previous models