Speakers YE
Graduate Research Assistant, University of Nevada Las Vegas
Traffic Congestion Analysis using an Autoencoder for Feature Selection and Anomaly Detection - Yazmin Elizabet Martinez, Wolfgang BeinRoad traffic congestion and its causes are highly researched due to the impact on daily life. The abundance of traffic data being automatically captured...
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PhD Candidate, University of Southern California
Minimally-Congested Travel Time Prediction from Sparse Open Data - Minimally-Congested Travel Time Prediction from Sparse Open DataTravel time prediction underpins many transport planning processes and research problems. It is key to understanding urban accessibility, transport mode...
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PhD Student, University of California, Santa Barbara
Experiments of Pattern Recognition and Anomaly Detection in Observed Daily Activity Travel Sequences using Multichannel Autoencoders. - Developing taxonomies of patterns of daily activities is something that has gone on for a while, and it is usually at the center of most activity-based...
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PhD Candidate, University of California, Irvine
A Stable Day-to-day Departure Time Dynamics for Heterogeneous Travelers - Prior to Jin (2020), analytical day-to-day dynamics of departure time choice at a single bottleneck were unstable. Jin (2020, 2021) introduced stable dynamics but only for homogeneous single-class travelers...
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Doctoral student, ETH Zurich/UC Santa barbara
Deep Generative Model for Human Mobility Behavior - Modeling and simulating human mobility lies at the core of numerous applications, ranging from transport planning through sustainable urban design all the way to public health. Despite ongoing efforts, accurately simulating individual...
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Student, UCSB
Multi-Scale Analysis of Local Labour Market Areas and Job-Housing Balance Through Complex Network Methods - Kropp and Schwengler (2016) highlight that functional regions offer distinct advantages over administrative boundaries, as they more accurately capture the spatial distribution...
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