Sustainable Efficient Intelligent Transportation through Development of Connected and Automated Vehicles in Platooning Mode

Description

Vehicular transport offers significant benefits but also incurs societal costs, including greenhouse gas emissions, pollution, accidents, and congestion. Transport emissions constitute nearly a quarter of the EU’s total emissions, and achieving the EU’s targets of a 55% reduction by2030 and climate neutrality by 2050 requires more ambitious policies to reduce fossil fuel dependency and promote zero-pollution initiatives. Conventional road transport, heavily reliant on fossil fuels, accounts for the largest share of emissions in the sector. Despite modest improvements, these systems fall short of meeting EU environmental targets. Digitisation and technological advancements in transport, including Intelligent Transport Systems (ITS) with connected and automated vehicles, are critical for improving efficiency, reducing emissions, and enhancing safety. Platooning, enabled by Vehicle-to-Vehicle (V2V) communication, is a key strategy, though managing energy efficiency in complex urban traffic remains challenging. Scalable, adaptable platoon models are necessary to reflect real-world urban dynamics. This PhD thesis evaluates transport solutions using a high-fidelity, simulation-based methodology to enhance sustainability and efficiency. It analysed conventional approaches and validated energy simulation models with real-world driving data. Consistent platooning within a blockchain framework was examined to improve transparency and sustainability. Dynamic and scalable destination-based e-platoon models were then developed, validated with empirical data, and tested through comparative scenario analyses, demonstrating their potential to improve energy efficiency in urban platooning operations.

Period	05 Mar 2025
Held at	Institute of Production and Logistics Management
Degree of Recognition	Local