Rong Su

发表

A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem

Yicheng Zhang, Yaofeng Song, Han Zhao, 2022, ArXiv.

STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting

Yicheng Zhang, Yaofeng Song, Ruikang Luo, 2022, ArXiv.

Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery

H. Zhao, Yi Zhang, Yicheng Zhang, 2022, ArXiv.

Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flows in Smart Cities- Part I. Fundamentals, Theoretical and Automatic Decision Framework

Bohui Wang, Rong Su, 2022, ArXiv.

Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flow in Smart Cities- Part II. Stability, Optimization, and Performance Analysis

Bohui Wang, Rong Su, 2022, ArXiv.

Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers

Bohui Wang, Rong Su, 2022, ArXiv.

AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting

Yaofeng Song, Ruikang Luo, Rong Su, 2023, Sensors.

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems

Rong Su, Ponnuthurai Nagaratnam Suganthan, Kaizhou Gao, 2019, IEEE Transactions on Intelligent Transportation Systems.

Intention Prediction-Based Control for Vehicle Platoon to Handle Driver Cut-In

Jiarong Yao, Rong Su, Lingying Huang, 2023, IEEE Transactions on Intelligent Transportation Systems.

Modeling of Driver Cut-in Behavior Towards a Platoon

Bohui Wang, Rong Su, Lingying Huang, 2022, IEEE Transactions on Intelligent Transportation Systems.

Direction Convolutional LSTM Network: Prediction Network for Drivers’ Lane-Changing Behaviours

Bohui Wang, Rong Su, Nanbin Zhao, 2022, 2022 IEEE 17th International Conference on Control & Automation (ICCA).

A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map

Ruikang Luo, Rong Su, Nanbin Zhao, 2022, 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Attention Based Graph Bi-LSTM Networks for Traffic Forecasting

Danwei Wang, Rong Su, Yu Wang, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Domain Adaptation for Degraded Remote Scene Classification

Ruikang Luo, Rong Su, Jianfei Yang, 2020, 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability

Ruikang Luo, Rong Su, Yicheng Zhang, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks

Yi Zhang, Shubham Gupta, Rong Su, 2023, Knowl. Based Syst..

GraphSAGE-Based Generative Adversarial Network for Short-Term Traffic Speed Prediction Problem

Bowen Yao, Han Zhao, Ruikang Luo, 2022, 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis

Ruikang Luo, Rong Su, Liping Huang, 2022, Sensors.