Academic Work & Publications
WCTR 2026: Toward Understanding the Dynamics of Commercial FCD Penetration Rates
Conference Presentation — World Conference on Transport Research (WCTR), 2026
Description: An analysis of the variables and underlying factors affecting how well commercial Floating Car Data (FCD) represents true traffic volumes across different types of urban road networks. Understanding these penetration rates is crucial for scaling up traffic state estimation models.
ETC 2025: Data Fusion: Traffic Flow Estimation Based on a GNN Approach for Loop Detector Data
Conference Presentation — European Transport Conference (ETC), 2025
Description: A work in progress proposing a spatio-temporal Graph Neural Network (GNN) model to impute missing data from physical traffic sensors. The study leverages both Loop Detector Data (LDD) and Floating Car Data (FCD), exploring their spatial and temporal relations to improve the reliability of Intelligent Transportation Systems.
Impact of Internet of Things (IoT) on inventory management: A literature survey
Journal Article — Logistics 6(2), 33 (2022). MDPI. Authors: Yasaman Mashayekhy, Amir Babaei, Xue-Ming Yuan, Anrong Xue
Description: By recognizing the role of inventory management in a supply chain and its importance, this paper highlights the impact of IoT technologies on inventory management and conducts a comprehensive study to identify research gaps.
PhD Exposé: Promotionszentrum Mobilität und Logistik
Working Paper / Proposal
Description: Research proposal outlining the core methodology, objectives, and state of the art in traffic state estimation using massive Floating Car Data pipelines.