[HTML][HTML] Graph-based mobility profiling
The decarbonization of the transport system requires a better understanding of human
mobility behavior to optimally plan and evaluate sustainable transport options (such as …
mobility behavior to optimally plan and evaluate sustainable transport options (such as …
Traffic4cast at neurips 2020-yet more on the unreasonable effectiveness of gridded geo-spatial processes
The IARAI Traffic4cast competition at NeurIPS 2019 showed that neural networks can
successfully predict future traffic conditions 15 minutes into the future on simply aggregated …
successfully predict future traffic conditions 15 minutes into the future on simply aggregated …
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task–insights from the iarai traffic4cast competition at neurips 2019
Abstract Deep Neural Networks models are state-of-the-art solutions in accurately
forecasting future video frames in a movie. A successful video prediction model needs to …
forecasting future video frames in a movie. A successful video prediction model needs to …
Exploring the relationship between social networking site usage and participation in protest activities
A methodological approach is developed for exploring the relationship between the use of
social networking sites and participation in protest activities. Although a recent meta …
social networking sites and participation in protest activities. Although a recent meta …
A clustering-based framework for understanding individuals' travel mode choice behavior
Travel mode choice analysis is a central aspect of understanding human mobility and plays
an important role in urban transportation and planning. The emergence of passively …
an important role in urban transportation and planning. The emergence of passively …
[HTML][HTML] Cluster size-constrained fuzzy C-means with density center searching
J Li, Y Horiguchi, T Sawaragi - International Journal of Fuzzy Logic and …, 2020 - ijfis.org
Fuzzy C-means (FCM) has a definite limitation when partitioning a dataset into clusters with
varying sizes and densities because it ignores the scale difference in different dimensions of …
varying sizes and densities because it ignores the scale difference in different dimensions of …
Unsupervised clustering of eye tracking data
The reading behavior on maps can strongly vary with factors such as background
knowledge, mental model, task or the visual design of a map. Therefore, in cartography, eye …
knowledge, mental model, task or the visual design of a map. Therefore, in cartography, eye …
Computational Methods for Sustainable Mobility-Interpretation and Prediction of Tracking Data using Graphs and Machine Learning
H Martin - 2023 - research-collection.ethz.ch
Many of today's urgent challenges, such as greenhouse gas emissions and climate change,
air quality and health, or traffic and congestion, are closely linked to the movement of people …
air quality and health, or traffic and congestion, are closely linked to the movement of people …