Demand forecasting of online car‐hailing by exhaustively capturing the temporal dependency with TCN and Attention approaches

An effective spatiotemporal deep learning framework model for short-term passenger flow prediction

(2022) Xueqin Wang et al.   SOFT COMPUTING

Short-term demand forecasting for online car-hailing using ConvLSTM networks

(2021) Xijin Lu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition

(2021) Dongfang Ma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-Term Traffic Flow Forecasting Model Based on GA-TCN

(2021) Rongji Zhang et al.   JOURNAL OF ADVANCED TRANSPORTATION

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

(2021) Ke Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN

(2021) Zhiqiu Hu et al.   SENSORS

A Dynamic Adjustment Model of Cruising Taxicab Fleet Size Combined the Operating and Flied Survey Data

(2020) Xiaofei Ye et al.   Sustainability

Short-term traffic speed forecasting based on graph attention temporal convolutional networks

(2020) Ge Guo et al.   NEUROCOMPUTING

A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting

(2020) Pan Wu et al.   JOURNAL OF ADVANCED TRANSPORTATION

Daily long-term traffic flow forecasting based on a deep neural network

(2018) Licheng Qu et al.   EXPERT SYSTEMS WITH APPLICATIONS