29 citations · 60 across the 5 of their papers we have counts for
5 papers
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Renteng Yuan, Mohamed Abdel-Aty, Qiaojun Xiang +2
Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver assistance systems. Vehicle trajectory prediction consists of two essential tasks, i.e…
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data
Renteng Yuan
Accurately detecting and predicting lane change (LC)processes can help autonomous vehicles better understand their surrounding environment, recognize potential safety hazards, and…
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
Renteng Yuan, Mohamed Abdel-Aty, Xin Gu +2
Accurately detecting and predicting lane change (LC)processes of human-driven vehicles can help autonomous vehicles better understand their surrounding environment, recognize poten…
Investigating the spatial heterogeneity of factors influencing speeding-related crash severities using correlated random parameter order models with heterogeneity-in-means
Renteng Yuan, Qiaojun Xiang, Zhiheng Fang +1
Speeding has been acknowledged as a critical determinant in increasing the risk of crashes and their resulting injury severities. This paper demonstrates that severe speeding-relat…
Exploring differences in injury severity between occupant groups involved in fatal rear-end crashes: A correlated random parameter logit model with mean heterogeneity
Renteng Yuan, Xin Gu, Zhipeng Peng +1
Rear-end crashes are one of the most common crash types. Passenger cars involved in rear-end crashes frequently produce severe outcomes. However, no study investigated the differen…