MSc thesis: Real time on board passenger load prediction for trams

MSc Thesis: Real time on board passenger load prediction for trams

In this master graduation project, you will use different data sources in order to be able to deduce the number of people who are currently on board a tram and predict for the next stops how many will board and alight This is challenging, because there are no sensors available which are counting the number of travelers in a direct way you will be using real time and historical data from the tram vehicles as well as publicly available data such as weather conditions, events, holidays etc.

Smart Public Transport Lab

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Contact:
 Phone: +31 (0)6 15908644
 E-mail: smartptlab@tudelft.nl

Address:
 P.O. Box 5048
 2600 GA Delft

Visiting address:
 Building 23
 
Stevinweg 1
 2628 CN Delft