Evaluation of urban bus service reliability on variable time horizons using a hybrid deep learning method

Safety of micro-mobility: Riders’ psychological factors and risky behaviors of cargo TTWs in China

(2021) Yi He et al.   TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR

A dual-LSTM framework combining change point detection and remaining useful life prediction

(2020) Zunya Shi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A new dynamic predictive maintenance framework using deep learning for failure prognostics

(2019) Khanh T.P. Nguyen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining Useful Lifetime Prediction via Deep Domain Adaptation

(2019) Paulo Roberto de Oliveira da Costa et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Bus Arrival Time Prediction: A Spatial Kalman Filter Approach

(2019) Avinash Achar et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

(2019) Yingjun Deng et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A hybrid method for short-term freeway travel time prediction based on wavelet neural network and Markov chain

(2018) Hang Yang et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

(2018) Mingyang Zhang et al.   SAFETY SCIENCE

Multi-output bus travel time prediction with convolutional LSTM neural network

(2018) Niklas Christoffer Petersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network

(2018) Junbiao Pang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Probabilistic Prediction of Bus Headway Using Relevance Vector Machine Regression

(2017) Haiyang Yu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Bus travel time prediction using a time-space discretization approach

(2017) B. Anil Kumar et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Using survival models to estimate bus travel times and associated uncertainties

(2017) Zhengyao Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Deep-Learning Architectures to Forecast Bus Ridership at the Stop and Stop-To-Stop Levels for Dense and Crowded Bus Networks

(2016) Junghan Baek and et al.   APPLIED ARTIFICIAL INTELLIGENCE

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

(2013) Timothy Hunter et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Prediction Intervals to Account for Uncertainties in Travel Time Prediction

(2011) Abbas Khosravi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Incorporating uncertainty into short-term travel time predictions

(2011) Ruimin Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES