Dynamic modeling of driver control strategy of lane-change behavior and trajectory planning for collision prediction

G Xu, L Liu, Y Ou, Z Song - IEEE Transactions on Intelligent …, 2012 - ieeexplore.ieee.org
… model will be highly useful for correctly predicting potential collisions in driver-assistance …
lane-change behavior as a dynamic model and planning safe and feasible lane-change

Crash Risk Prediction Model of LaneChange Behavior on Approaching Intersections

Y Li, J Lu, K Xu - Discrete Dynamics in Nature and Society, 2017 - Wiley Online Library
… route to generate lane-changing behavior on the studied … lane-changing behavior in the
studied approach is objective-driven lane changing, meaning that the driver must change lanes

Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification

P Liu, A Kurt, Ü Özgüner - 17th international IEEE conference …, 2014 - ieeexplore.ieee.org
… of predicting the future driving intention of a lane changing … will conduct a dangerous lane
change behavior and predict … near-crash data[19] are used to train the normal lane change

Neural network based lane change trajectory predictions for collision prevention

RS Tomar, S Verma, GS Tomar - … International Conference on …, 2011 - ieeexplore.ieee.org
… This section also compares results of the proposed lane change behavior to observed lane
change behavior on the highways for validation purpose and assesses the impact of neural …

Lane-change detection based on vehicle-trajectory prediction

H Woo, Y Ji, H Kono, Y Tamura… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
… Our approach reduces false alarms by considering the possibility of a crash with adjacent
vehicles by applying trajectory prediction when the target vehicle attempts to …

An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle

W Wang, T Qie, C Yang, W Liu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
… This article presented an FIS-LSTM method to predict lane-changing behaviors. The
interaction … Zhou, “A real-time collision prediction mechanism with deep learning for intelligent …

Attention-based lane change and crash risk prediction model in highways

ZN Li, XH Huang, T Mu, J Wang - IEEE transactions on …, 2022 - ieeexplore.ieee.org
… RELATED WORK Lane change behavior and crash risk prediction is a fundamental building
block for autonomous driving tasks, and it has become a scorching topic in recent years. For …

A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles

Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
… -changing maneuvers. There are two main contributions of … a crash risk prediction model for
lane-changing behavior and (2… approaches, for crash risk prediction and risky factor analysis. …

Vehicle trajectory prediction and cut-in collision warning model in a connected vehicle environment

N Lyu, J Wen, Z Duan, C Wu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
behavior prediction need further research. Kumar et al. [11] proposed a lane change intention
prediction … ; the method can accurately predict the lane change behavior 1.3s in advance. …

Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident Analysis & Prevention, 2023 - Elsevier
lane-change-related evasive behavior model, which can facilitate the development of
safety-aware traffic simulations and predictive collisiondetection and building an evasive …