Shaping E-Roads Efficiency for Freight Automation (SEE-FAr)

Project Overview

The Shaping E-Roads Efficiency for Freight Automation (SEE-FAr) project investigates innovative solutions for the electrification and automation of long-haul freight transport. It combines data-driven analytical models with agent-based simulation to assess the technical, economic, and environmental impacts of deploying stationary (plug-in) and dynamic (in-motion electric road) charging infrastructures.

SEE-FAr aims to provide actionable insights into the cost-effectiveness, scalability, and sustainability of different charging strategies, helping stakeholders shape the future of freight logistics in an era of automation and electrification.

Objectives

• Analyze the operational efficiency of e-road freight systems under automation.
• Evaluate trade-offs between stationary charging and dynamic charging infrastructures.
• Quantify energy consumption, emissions reduction, and system costs.
• Identify policy and planning strategies to support a sustainable freight transition.

Collaboration

SEE-FAr is funded by the German Research Foundation (DFG) and is jointly undertaken by an international team of experts in transportation engineering, logistics, and energy systems. At TUM, the project is hosted at the Chair of Transportation Systems Engineering, led by Prof. Dr. Constantinos Antoniou.

Role

As a doctoral researcher and research associate, Shahriar Iqbal Zame contributes to the development of agent-based models, optimization frameworks, and scenario analysis. The focus lies on understanding behavioral responses, infrastructure utilization, and system-level implications of electrification and automation in freight transport.

More Information

For official project details: SEE-FAr Project Website (TUM)