Search Results for author:
Found 5 papers, 0 papers with code
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System.
Modeling bike availability in a bike-sharing system using machine learning
The univariate models were used to model the number of available bikes at each station.
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis
RQA features are added to traditional time domain features to investigate the classification accuracy when using binary, four-class, and five-class Random Forest classifiers.
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms.
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX
Results also show a similar usage pattern for the average speed of e-bikes and e-scooters throughout the days of the week and a different usage pattern for the average speed of e-bikes and e-scooters over the hours of the day.
