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

Shahriar Iqbal Zame

Last updated on Jul 21, 2026

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 the Austrian Science Fund (FWF), 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, together with partners at BOKU University, Vienna, led by Prof. Dr. Yusak Susilo.

Workshops

The first SEE-FAr workshop, Recent Advances in Electric and Automated Road Freight Transport, was held at TUM on 16 July 2026, bringing the project team together with invited international experts on freight electrification, charging infrastructure, adoption behaviour, and delivery policy.

SEE-FAr project team and invited speakers at TUM — The SEE-FAr project team from TUM and BOKU with invited speakers, Munich, 16 July 2026.

Workshop presentation session at TUM — Project presentations on operational patterns and impacts of long-haul road freight in Bavaria and Austria.

Presenting freight OD estimation results at the workshop — Presenting freight origin–destination estimation from commercial-fleet GPS and roadside traffic counts.

Hybrid workshop session with on-site and remote participants — The workshop ran in hybrid format, connecting the TUM and BOKU teams with remote participants.

Workshop dinner at a Bavarian restaurant in Munich — Discussions continued over the workshop dinner in Munich.

Read the full recap: Hosting and Presenting at the First SEE-FAr Workshop at TUM

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)