A Bayesian Estimation of Pedestrian Activities using Sensors Data

Pedestrian modeling is a tool for designing and optimizing infrastructures. In particular, walking in transportation hubs such as railway stations and airports is the key for an efficient multimodal transport systems. Data collections are needed in estimating the demand for these infrastructures. These data can further be used in destination choice models in order to understand pedestrian behavior and forecast demand for future scenarios. Possible applications: railway stations, airports, music festivals. 3rd prize of the ENAC Research Day 2013 Doctoral poster award

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