Toward safe and smart mobility : energy-aware deep learning for driving behavior analysis and prediction of connected vehicles

• Main Authors: Xing, Yang, Lv, Chen, Mo, Xiaoyu, Hu, Zhongxu, Huang, Chao, Hang, Peng
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Mechanical engineering; Energy-aware Driving Behaviors; Vehicle State Prediction; Time-series Modeling; Deep Learning
• Online Access: https://hdl.handle.net/10356/147440
• Institution: Nanyang Technological University

Connected automated driving technologies have shown tremendous improvement in recent years. However, it is still not clear how driving behaviors and energy consumption correlate with each other and to what extent these factors related to connected vehicles can influence the motion prediction performa...