A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros

Effectiveness of resampling methods in coping with imbalanced crash data: Crash type analysis and predictive modeling

(2021) Clint Morris et al.   ACCIDENT ANALYSIS AND PREVENTION

Real-time crash prediction on expressways using deep generative models

(2020) Qing Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-Time Crash Risk Prediction using Long Short-Term Memory Recurrent Neural Network

(2019) Jinghui Yuan et al.   TRANSPORTATION RESEARCH RECORD

Real-time crash prediction in an urban expressway using disaggregated data

(2018) Franco Basso et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Identifying Factors That Increase Bus Accident Risk by Using Random Forests and Trip-Level Data

(2016) Joel Huting et al.   TRANSPORTATION RESEARCH RECORD

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

Road Safety Benefits from Bus Priority

(2014) Kelvin Chun Keong Goh et al.   TRANSPORTATION RESEARCH RECORD

Measuring Bus Drivers’ Occupational Stress under Changing Working Conditions

(2014) Yevheniia Hlotova et al.   TRANSPORTATION RESEARCH RECORD

Estimation and Accuracy After Model Selection

(2013) Bradley Efron   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bus lane safety implications: a case study in Hong Kong

(2012) Lai Yin Tse et al.   Transportmetrica A-Transport Science

Modeling road traffic crashes with zero-inflation and site-specific random effects

(2010) Helai Huang et al.   Statistical Methods and Applications

Safety Assessment of Taxi Drivers in Singapore

(2009) Hoong Chor Chin et al.   TRANSPORTATION RESEARCH RECORD

Models for Safety Analysis of Road Surface Transit

(2008) Carl Cheung et al.   TRANSPORTATION RESEARCH RECORD