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Bidirectional Temporal Convolutional Graph Attention Networks for Key Node Identification in Traffic Monitoring

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Enhancing Traffic Safety and Efficiency with GOLC: A Global Optimal Lane-Changing Model Integrating Real-Time Impact Prediction

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Learning dynamic interaction for multimodal transportation systems: A joint passenger flow prediction approach based on spatiotemporal hypergraph convolution networks

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Planning smart link-based geofences for urban sustainability via speed limit management

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Recovering Missing Passenger Flow Data in Subway Stations via an Enhanced Generative Adversarial Network

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Understanding lane-changing behaviour via time-to-frequency conversion: a dynamic time warping approach based on continuous wavelet transform

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Deploying Roadside Unit Efficiently in VANETs: A Multi-Objective Delay-Based Optimization Strategy Using Lagrangian Relaxation

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Dynamic Tensor Modeling for Missing Data Completion in Electronic Toll Collection Gantry Systems

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Improving Traffic Operation of Bottleneck in a Connected and Automated Vehicles Environment: An Integrated Lane-Level Control Method

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Longitudinal motion calibration for connected and automated vehicles in the presence of packet loss

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Optimizing the Deployment of Static and Mobile Roadside Units Using a Branch-and-Price Algorithm

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Predicting Traffic Flow Parameters for Sustainable Highway Management: An Attention-Based EMD–BiLSTM Approach

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Urban network geofencing with dynamic speed limit policy via deep reinforcement learning

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多源数据融合驱动的城市快速路交通状态划分

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Optimization of departure flight sequence under large-scale delay

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Passenger flow data imputation with probsparse self-attention conditional generative adversarial imputation net

Conference paper

Classification of the Traffic Status Subcategory with ETC Gantry Data: An Improved Support Tensor Machine Approach

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Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model

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TD3LVSL: A lane-level variable speed limit approach based on twin delayed deep deterministic policy gradient in a connected automated vehicle environment

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Abnormal Recognition of the ETC Gantry License Plate Data based on an Improved DBSCAN

Conference paper

An improved seq2seq-based car-following model for connected automated vehicles considering multi-vehicle information topology

Conference paper

Improving the safety of CACC vehicle platoons: a relative time headway policy

Conference paper

A bidirectional car-following model considering distance balance between adjacent vehicles

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An improved tucker decomposition-based imputation method for recovering lane-level missing values in traffic data

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Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization

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Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model

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Target encirclement of moving ride-hailing vehicle under uncertain environment: A multi-vehicle mutual rescue model

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Traffic speed forecasting for urban roads: A deep ensemble neural network model

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Urban Traffic State Estimation with Online Car-Hailing Data: A Dynamic Tensor-Based Bayesian Probabilistic Decomposition Approach

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An Integrated lane-level control strategy for improving traffic operation of the bottleneck under a connected and automated vehicle environment

Conference paper

Forecasting traffic speeds of urban roads: a deep ensemble neural network model based on virtual network

Conference paper

Ramp short-term traffic flow prediction based on BiLSTM-Attention model with spatiotemporal correlation analysis

Conference paper

Research on a Cooperative On-Ramp Control Method Based on VDN Algorithm

Conference paper

Safety Clearance of Connected and Automated Vehicles: Using the Potential Field Theory

Conference paper

A Dynamic Control Method for Cavs Platoon Based on the MPC Framework and Safety Potential Field Model

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A Novel Hybrid Model for Predicting Traffic Flow via Improved Ensemble Learning Combined with Deep Belief Networks

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Controlling the connected vehicle with bi-directional information: Improved car-following models and stability analysis

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Improving the safe operation of platoon lane changing for connected automated vehicles: A novel field-driven approach

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基于张量分解理论的车道级交通流数据修复算法

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A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

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An improved bayesian combination model for short-term traffic prediction with deep learning

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Efficient deep learning based method for multi-lane speed forecasting: A case study in Beijing

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Intelligent back-looking distance driver model and stability analysis for connected and automated vehicles

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智能网联环境下基于混合深度学习的交通流预测模型

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A Spatial and Temporal Combination Model for Traffic Flow: A Case Study of Beijing Expressway

Conference paper

An Attention-based Approach for Traffic Conditions Forecasting Considering Spatialoral Features

Conference paper

A deep learning framework for cycling maneuvers classification

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Short-term prediction of lane-level traffic speeds: A fusion deep learning model

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基于免疫算法优化LSSVM的短时交通流预测

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基于多目标遗传算法的浮动车地图匹配方法

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基于深度学习的网约车供需缺口短时预测研究

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基于组合深度学习的快速路车道级速度预测研究

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A model of traffic accident prediction based on convolutional neural network

Conference paper