Highway Main Lane Vehicles Driving Behavior Prediction Based on Residual-Transformer

L Hu, D Li, J Liao, X Zhang, Q Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Highways, as a type of high-grade road, are an essential component of intelligent connected
vehicle testing and a crucial aspect in achieving fully autonomous driving technology. To …

Lane Change Trajectory Prediction Based on Chinese Highway Ramp Scenarios

CL Qiu, S Zhou, H Liu, W Zhuang… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Accurately predicting the future trajectories of autonomous vehicles is crucial for achieving
safe and efficient merging onto the main road in highway ramp scenarios. However, the …

Autonomous vehicle trajectory prediction on multi-lane highways using attention based model

O Sharma, NC Sahoo, NB Puhan - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
The autonomous vehicle anticipates its own behaviour and future trajectory based on the
expected trajectories of surrounding vehicles to prevent a potential collision in order to …

Dual transformer based prediction for lane change intentions and trajectories in mixed traffic environment

K Gao, X Li, B Chen, L Hu, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In a mixed traffic environment of human and autonomous driving, it is crucial for an
autonomous vehicle to predict the lane change intentions and trajectories of vehicles that …

Driving Behavior Prediction Based on Combined Neural Network Model

R Li, X Shu, C Li - IEEE Transactions on Computational Social …, 2024 - ieeexplore.ieee.org
Accurate behavior prediction of surrounding vehicles can greatly improve the operating
safety of autonomous vehicles. However, in real traffic scence, the complexity and …

An ensemble deep learning approach for driver lane change intention inference

Y Xing, C Lv, H Wang, D Cao, E Velenis - Transportation Research Part C …, 2020 - Elsevier
With the rapid development of intelligent vehicles, drivers are increasingly likely to share
their control authorities with the intelligent control unit. For building an efficient Advanced …

An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network

K Shi, Y Wu, H Shi, Y Zhou, B Ran - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Vehicle trajectory prediction is essential for the operation safety and control efficiency of
automated driving. Prevailing studies predict car following and lane change processes in a …

Research on vehicle trajectory prediction method for intersections without signal lights

N Gan, Z Jiang, B Zhou, T Chai, Z He - SAE International Journal of …, 2021 - sae.org
Urban road intersections are the most common complex tra c conditions, especially in
intersections without signal lights, when a right-of-way conflict occurs between vehicles, the …

Real‐Time Vehicle Trajectory Prediction for Traffic Conflict Detection at Unsignalized Intersections

Q Cao, Z Zhao, Q Zeng, Z Wang… - Journal of advanced …, 2021 - Wiley Online Library
Real‐time prediction of vehicle trajectory at unsignalized intersections is important for real‐
time traffic conflict detection and early warning to improve traffic safety at unsignalized …

Vehicle Trajectory Prediction in Expressway Merging Areas Based on Self-Supervised Mechanism

Y Ma, C Ma, C Lv, S Zhang, Y Tian, T Zhao… - … Engineering, Part A …, 2024 - ascelibrary.org
With the increasing number of vehicles, the growing complexity of traffic environments has
led to a rise in traffic pressure. As a critical hub connecting roads between cities, expressway …