Newsletter from November 2023
COLTOC
Improving the accuracy of modeling, tracking and monitoring human mobility patterns within cities is an essential and challenging aspect, especially in the era of emerging transportation services.
In the COLTOC project, we focus on improving the prediction of human mobility through the strategic use of novel sensor technologies and route-based traffic control algorithms. Through a comprehensive approach, we utilize crowd sensing methods and Wi-Fi probe request frames to collect valuable data for estimating the number of people in an area and understanding their dynamics. This dataset can play a fundamental role in improving mobility services, optimizing transportation networks, and advancing urban planning in general.
The design of the sensor technology was tested and validated in the prototype phase. The sensors are housed in protective boxes for outdoor protection. The plan is to install around 20 of these sensors at predefined locations in Kirchheim to enable remote data collection.
The test phase of the COLTOC project is currently underway in the city of Kirchheim. Positive results will open up broader application opportunities for companies in the transportation and mobility sector, including companies in the greater Munich area, municipalities and the metropolitan region. They can use the project results to develop commercial products and services related to traffic control algorithms, sensor technologies and integrated mobility solutions.
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