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In the last decades, travel demand models have progressed with tremendous development and are now routinely used to support planning and public policy decisions. However, active modes have often been overlooked and rarely considered as part of the solution ...
In this project, we propose a probabilistic modeling approach to represent the speed- density relationship of pedestrian traffic. The approach is data-driven and is motivated by the presence of high scatter in the raw data I have been provided with (tracki ...
The main purpose of this project is to account for a passenger-centric transit assignment improvement in the framework of a multi-objective optimisation problem in railway networks. Most of the transit assignment models computed to operate railway schedule ...
Trust in the use of sensitive data is not nearly widespread. Even though there is no shortage in tools and methods to address the digitisation of our society and industries, the acquisition and access to non-open data represent the greatest challenge. In t ...