Investigating the Potential Effects of Intelligent Access

Abstract

The rapid development of freight transport has introduced challenges related to infrastructure capacity, environmental sustainability, and logistical efficiency. The purpose of this thesis is to investigate contemporary and future aspects of autonomous driving, high capacity transport, smart roads and smart parking to achieve IA for road freight transport and port- and terminal logistics. To the knowledge of the authors, no research that focused on the holistic view of all these areas, encompassing both contemporary and future aspects in relation to Intelligent Access, have been found. The study uses a qualitative research methodology, which combines literature review and expert interviews to analyze current and future frameworks and concepts related to aforementioned areas. It identifies how frameworks like SAE levels for AVs and Performance-Based Standards (PBS) for HCT can be incorporated into IA systems to improve route planning, reduce emissions, and increase infrastructure longevity. Key findings reveal serious barriers to implementation including fragmented regulations, limited infrastructure readiness and challenges in data governance. Nonetheless, the research outlines how coordinated deployment of IA can improve efficiency, reduce environmental impact, and enhance the resilience of freight transport systems. By aligning technical innovations with coherent policy frameworks, this thesis outlines pathways toward a smarter, safer, and more sustainable freight transport ecosystem. The thesis contributes to a general understanding of how digital and automated innovations can support the transition toward sustainable and intelligent logistics networks.