Demand forecasting for a novel transportation mode
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The goal of this thesis is to analyze lane changes and lane choice in a congested urban envi- ronment. This is possible thanks to the pNEUMA dataset, a new trac dataset resulting from a eld experiment with 10 drones ying over the central district of Athen ...
Begun in 2017 and set to be finished at the end of 2020, the "Bergère 2020" Project is set to renovate the buildings in the Nestlé HQ.With a higher accent brought on Building automation, this thesis views itself as an exploratory journey in the literature ...
Although the idea of vehicle sharing systems (VSSs) emerged back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...
Although the idea of vehicle sharing systems (VSSs) emerges back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...
The new era of “big data” requires going past the current conventional methods for gathering traffic information that until now depend either on fixed-area sensors or GPS devices. Unmanned Aerial Systems (UAS) or just "drones" have been proposed as a moder ...
More than 16, 000 people reach the EPFL campus every day by public transport, private car or non-motorised transports. According to the EPFL "Mobility Survey 2019", 22% of students commute by bicycle (compared to 20% of staff), but still 30% of the staff c ...
Bicycle-sharing systems stations are often imbalanced. Stations are said to be in excess when there is no empty dock for users willing to deposit their bicycle. Conversely, stations aresaidtobeinshortagewhenthereisnoavailablebicycle. Rebalancingcanbeachiev ...
We solve a rich routing problem inspired from practice, in which a heterogeneous fixed fleet is used for collecting recyclable waste from large containers over a finite planning horizon. Each container is equipped with a sensor that communicates its level ...
The study of how people schedule their daily activities is of interest in the context of transport demand forecasting using activity based-models, where activity schedules are generated in order to estimate the trip demand they produce. Machine learning ha ...
Today private vehicles in the cities is a high problem, due to the congestion they create, their pollution and their use of public space. Various alternatives exist, as public transportation and other modes, and still the part of people using cars remain t ...