Publication
C-ITS service management platform
| Summary: | The rapid growth of global populations and the resulting increase in vehicles on the road have led to a notable rise in road accidents and fatalities, highlighting an urgent need for more advanced and proactive traffic safety measures. Traditional safety features have made vehicles safer, but they cannot fully address dynamic road conditions or the unpredictable behaviors of other drivers. In response, new vehicle communication technologies have emerged to improve real-time awareness and coordination on the roads. These technologies allow vehicles to communicate not only with each other but also with roadside infrastructure and vulnerable road users, enabling safer and more efficient transport networks. This thesis introduces a complete platform designed to support and expand upon these advancements, offering tools for researchers and stakeholders to observe and manage live communication data. The platform features a centralized hub for monitoring traffic patterns, infrastructure status, and even tolling interactions, all through user-friendly interfaces and interactive dashboards. Through the visualization of real-time messages exchanged between vehicles, infrastructure, and vulnerable road users, this platform provides essential insights into traffic dynamics and environmental conditions, contributing to a safer and more coordinated transportation ecosystem. The platform’s modular design and robust data management protocols facilitate not only the presentation of current traffic information, but also support long-term analysis. A prototype toll management system, included within the platform, illustrates how standardized message-based tolling systems can be implemented. Performance tests have also been conducted, providing insights into how the platform can scale and maintain reliability under high traffic loads. These findings outline potential enhancements, ensuring that the platform remains adaptable and resilient as future demands on intelligent transportation systems grow. |
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| Main Authors: | Silva, Bruno José Marques |
| Subject: | Intelligent transportation systems (ITS) Vehicular communications Real-time data visualization Traffic management Road safety Internet of things (IoT) |
| Year: | 2024 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade de Aveiro |
| Language: | English |
| Origin: | RIA - Repositório Institucional da Universidade de Aveiro |
| Summary: | The rapid growth of global populations and the resulting increase in vehicles on the road have led to a notable rise in road accidents and fatalities, highlighting an urgent need for more advanced and proactive traffic safety measures. Traditional safety features have made vehicles safer, but they cannot fully address dynamic road conditions or the unpredictable behaviors of other drivers. In response, new vehicle communication technologies have emerged to improve real-time awareness and coordination on the roads. These technologies allow vehicles to communicate not only with each other but also with roadside infrastructure and vulnerable road users, enabling safer and more efficient transport networks. This thesis introduces a complete platform designed to support and expand upon these advancements, offering tools for researchers and stakeholders to observe and manage live communication data. The platform features a centralized hub for monitoring traffic patterns, infrastructure status, and even tolling interactions, all through user-friendly interfaces and interactive dashboards. Through the visualization of real-time messages exchanged between vehicles, infrastructure, and vulnerable road users, this platform provides essential insights into traffic dynamics and environmental conditions, contributing to a safer and more coordinated transportation ecosystem. The platform’s modular design and robust data management protocols facilitate not only the presentation of current traffic information, but also support long-term analysis. A prototype toll management system, included within the platform, illustrates how standardized message-based tolling systems can be implemented. Performance tests have also been conducted, providing insights into how the platform can scale and maintain reliability under high traffic loads. These findings outline potential enhancements, ensuring that the platform remains adaptable and resilient as future demands on intelligent transportation systems grow. |
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Funded activities
No funded projects found.