A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction

Short-term traffic flow prediction based on 1DCNN-LSTM neural network structure

(2020) Yihuan Qiao et al.   MODERN PHYSICS LETTERS B

A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting

(2020) Huakang Lu et al.   NEUROCOMPUTING

A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection

(2020) Zengwei Zheng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An LSTM-Based Method with Attention Mechanism for Travel Time Prediction

(2019) Xiangdong Ran et al.   SENSORS

Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction

(2019) Yanni Peng et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

An interpretable model for short term traffic flow prediction

(2019) Wei Wang et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model

(2018) Marcella Cornia et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Visual-Semantic Alignments for Generating Image Descriptions

(2017) Andrej Karpathy et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method

(2017) Anyu Cheng et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS