A data-driven fault diagnosis method for railway turnouts
A pedestrian exposure model for the California state highway system
Analysis of crash rates at freeway diverge areas using Bayesian tobit modeling framework
Analysis of driving simulator sickness symptoms: zero-inflated ordered probit approach
Analytical model for optimal departure time choice with perception errors for planners
Application of extreme value theory for before-after road safety analysis
Bicycle safety analysis at intersections from crowdsourced data
Children's independent trips on weekdays and weekends: case study of Québec City
Deep learning system for travel speed predictions on multiple arterial road segments
Deriving signal performance metrics from large-scale connected vehicle system deployment
Development and testing of connected vehicle wrong-way driving applications
Enriching travel demand forecasting models with a household typology
Estimating traffic volume on minor roads at rural stop-controlled intersections using deep learning
Evaluating OpenStreetMap's performance potential for level of traffic stress analysis
Gender and rail transit use: influence of environmental beliefs and safety concerns
Insight from scientific study in logistics using text mining
Is it necessary to relax the IID assumptions in the logsum-based accessibility analysis?
Left-turn spillback probability estimation in a connected vehicle environment
On the use of probit-based models for ranking data analysis
Operational evaluation of U-turns at at-grade signalized diamond interchanges
Public opinion on dockless bike sharing: a machine learning approach
Real-time crash risk prediction using long short-term memory recurrent neural network
Use of aerial LiDAR in measuring streetscape and street trees