Hey, I'm Amir!
RSS FeedI am a PhD Researcher at the Research Lab for Urban Transport (ReLUT) at Frankfurt University of Applied Sciences , focusing on data science for traffic and transportation. My work involves spatio-temporal analysis, fusing large-scale Floating Car Data and Stationary detectors, and exploring Graph Neural Networks for traffic prediction.
Alongside my research, I develop open-source hardware and software hobby projects, practice calisthenics, and experiment with functional 3D printing.
Recent Posts
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In search of the right tomato - openpomo.com, a FOSS implementation for yet another Pomodoro app
It's March 15 and I think it's that time of the year to start another FOSS project. It all began by me searching for a free multi-platform always in sync pomodoro app.
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A Practical Guide to Map-Matching with Valhalla Map Matching API
Map matching solves a fundamental problem with GPS data; Raw GPS data from vehicles or phones is inherently noisy. In this guide, we'll build a powerful, offline map-matching server using Valhalla and then use the tools in the MapMatching project to process trips and visualize the results.
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Estimating Traffic Speeds from GPS Trajectories: Leveraging Apache Spark for Floating Car Data (FCD) Analysis
Analyzing large-scale floating car data (FCD) provides valuable insights into urban mobility, road usage, and traffic flow. In this post, I’ll walk through the process I followed to calculate and impute traffic speeds across various categories using Apache Spark.