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

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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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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

Conference paper

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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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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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

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

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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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An attention-based approach for traffic conditions forecasting considering spatial-temporal features

Conference paper

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

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