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Found 7 papers, 3 papers with code
"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
Passenger flow allows the study of users' behavior through the public network and assists in designing new facilities and services.
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
To meet this requirement, accurate forecasting of the charging demand is vital.
Modeling Censored Mobility Demand through Quantile Regression Neural Networks
We address this gap by extending current Censored Quantile Regression models to learn multiple quantiles at once and apply these to synthetic baseline datasets and datasets from two shared mobility providers in the Copenhagen metropolitan area in Denmark.
On the Quality Requirements of Demand Prediction for Dynamic Public Transport
Our results suggest that the optimized performance is mainly affected by the skew of the noise distribution and the presence of infrequently large prediction errors.
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
In a nutshell, QTIP performs real-time simulations of the affected road for multiple scenarios, analyzes the results, and suggests a change to an ordinary prediction model accordingly.
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
Transport demand is highly dependent on supply, especially for shared transport services where availability is often limited.
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services
This study develops an online predictive optimization framework for dynamically operating a transit service in an area of crowd movements.
