Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes

Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

(2020) Qiang Zeng et al.   International Journal of Environmental Research and Public Health

Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

(2019) Jie Bao et al.   IET Intelligent Transport Systems

Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches

(2019) Hao Yu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Deep learning methods in transportation domain: a review

(2018) Hoang Nguyen et al.   IET Intelligent Transport Systems

Enhancing transportation systems via deep learning: A survey

(2018) Yuan Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Severity Prediction of Traffic Accidents with Recurrent Neural Networks

(2017) Maher Sameen et al.   Applied Sciences-Basel

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Exploratory multinomial logit model–based driver injury severity analyses for teenage and adult drivers in intersection-related crashes

(2015) Qiong Wu et al.   Traffic Injury Prevention

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity

(2014) Yingge Xiong et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Crash Injury Severity Analysis Using Bayesian Ordered Probit Models

(2008) Yuanchang Xie et al.   JOURNAL OF TRANSPORTATION ENGINEERING