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iMobility Lab

Vehicle trajectories from GPS data.

iMobility Lab, the Intelligent Urban Mobility Lab at KTH, is focused on the use of emerging sensor technologies to address urban mobility problems. The lab was originally established through an IBM SUR (Shared University Research) award for the development of “NexTMC3, Next Generation Traffic Management, Communications, and Control Center for Sustainable Urban Transport”.

The iMobility Lab conducts research on data stream processing, data fusion, filtering, statistical analysis and machine learning for multimodal traffic information, management and services. The lab also supports and contributes to interdisciplinary research and collaborates with researchers worldwide on a wide range of projects.

The laboratory hosts extensive mobility databases, algorithms for their processing, and open source traffic and transit simulation models. Centered on the Stockholm transport system, data from microwave detectors along the motorway system, Bluetooth sensors, weather, incidents, etc. are received continuously in real time. Data from 1500 GPS-equipped taxis, public transport automatic vehicle location (AVL) and passenger count (APC) data, automated number plate recognition (ANPR) cameras, etc. are also stored.

Structure of iMobility Lab.

Director: Erik Jenelius

Participants: Matej Cebecauer , Wilco Burghout , Athina Tympakianaki

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Belongs to: Department of Civil and Architectural Engineering
Last changed: May 05, 2021