most citedA Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction

29 citations · 60 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023★ 29 cited

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…

cs.LG2023★ 2 cited

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…

stat.AP2023★ 20 cited

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…

stat.AP2023★ 9 cited

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…