Nengchao Lyu

According to our database, Nengchao Lyu authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A driver stress detection model via data augmentation based on deep convolutional recurrent neural network.

Qianxi Zhao, Liu Yang, Nengchao Lyu

Expert Syst. Appl., March, 2024

2023

Integrating Surrounding Vehicle Information for Vehicle Trajectory Representation and Abnormal Lane-Change Behavior Detection.

Da Xu, Mengfei Liu, Xinpeng Yao, Nengchao Lyu

Sensors, December, 2023

A Longitudinal Velocity CF-MPC Model for Connected and Automated Vehicle Platooning.

Jianghui Wen, Shuai Wang, Chaozhong Wu, Xinping Xiao, Nengchao Lyu

IEEE Trans. Intell. Transp. Syst., June, 2023

2022

Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment.

Nengchao Lyu, Jiaqiang Wen, Zhicheng Duan, Chaozhong Wu

IEEE Trans. Intell. Transp. Syst., 2022

Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit.

Wei Hao, Donglei Rong, Zhaolei Zhang, Qiyu Wu, Young-Ji Byon, Kefu Yi, Jinjun Tang, Nengchao Lyu

IEEE Trans. Intell. Transp. Syst., 2022

2021

Safety margins - a novel approach from risk homeostasis theory for evaluating the impact of advanced driver assistance systems on driving behavior in near-crash events.

Nengchao Lyu, Zhicheng Duan, Changxi Ma, Chaozhong Wu

J. Intell. Transp. Syst., 2021

Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis.

Daiquan Xiao, Xuecai Xu, Changxi Ma, Nengchao Lyu

IEEE Access, 2021

2020

Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model.

Hasan Abdullah Hasan Naji, Qingji Xue, Ke Zheng, Nengchao Lyu

Sensors, 2020

2019

Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving.

Chaozhong Wu, Haoran Wu, Nengchao Lyu, Mengfan Zheng

IEEE Access, 2019

2017

Vehicle Behavior Learning via Sparse Reconstruction with ℓ₂-ℓ_p Minimization and Trajectory Similarity.

Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Junfeng Jiang, Nengchao Lyu, Bin Ran

IEEE Trans. Intell. Transp. Syst., 2017

Modeling Vehicle Collision Angle in Traffic Crashes Based on Three-Dimensional Laser Scanning Data.

Nengchao Lyu, Gang Huang, Chaozhong Wu, Zhicheng Duan, Pingfan Li

Sensors, 2017

Dangerous driving behavior detection using video-extracted vehicle trajectory histograms.

Zhijun Chen, Chaozhong Wu, Zhen Huang, Nengchao Lyu, Zhaozheng Hu, Ming Zhong, Yang Cheng, Bin Ran

J. Intell. Transp. Syst., 2017

2015

Feature selection with redundancy-complementariness dispersion.

Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Bin Ran, Ming Zhong, Nengchao Lyu

Knowl. Based Syst., 2015

2014

Pedestrian-vehicular collision avoidance based on vision system.

Zhijun Chen, Chaozhong Wu, Nengchao Lyu, Gang Liu, Yi He

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014