252 related articles for article (PubMed ID: 35082845)
1. A Novel Intelligent Approach to Lane-Change Behavior Prediction for Intelligent and Connected Vehicles.
Du L; Chen W; Ji J; Pei Z; Tong B; Zheng H
Comput Intell Neurosci; 2022; 2022():9516218. PubMed ID: 35082845
[TBL] [Abstract][Full Text] [Related]
2. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles.
Du L; Chen W; Pei Z; Zheng H; Fu S; Chen K; Wu D
Comput Intell Neurosci; 2020; 2020():8848363. PubMed ID: 33061950
[TBL] [Abstract][Full Text] [Related]
3. A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification.
Wu J; Chen X; Bie Y; Zhou W
Accid Anal Prev; 2023 Feb; 180():106907. PubMed ID: 36455450
[TBL] [Abstract][Full Text] [Related]
4. Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment.
Ma Y; Liu Q; Fu J; Liufu K; Li Q
Accid Anal Prev; 2023 May; 184():106999. PubMed ID: 36780868
[TBL] [Abstract][Full Text] [Related]
5. Coordinated Decision Control of Lane-Change and Car-Following for Intelligent Vehicle Based on Time Series Prediction and Deep Reinforcement Learning.
Zhang K; Pu T; Zhang Q; Nie Z
Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257495
[TBL] [Abstract][Full Text] [Related]
6. Key feature selection and risk prediction for lane-changing behaviors based on vehicles' trajectory data.
Chen T; Shi X; Wong YD
Accid Anal Prev; 2019 Aug; 129():156-169. PubMed ID: 31150922
[TBL] [Abstract][Full Text] [Related]
7. Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.
Das A; Khan MN; Ahmed MM
Accid Anal Prev; 2020 Jul; 142():105578. PubMed ID: 32408143
[TBL] [Abstract][Full Text] [Related]
8. Support Vector Machine Based Lane-Changing Behavior Recognition and Lateral Trajectory Prediction.
Feng Y; Yan X
Comput Intell Neurosci; 2022; 2022():3632333. PubMed ID: 35592714
[TBL] [Abstract][Full Text] [Related]
9. Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention.
Tian W; Wang S; Wang Z; Wu M; Zhou S; Bi X
Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684916
[TBL] [Abstract][Full Text] [Related]
10. Time-Series-Based Personalized Lane-Changing Decision-Making Model.
Ye M; Pu L; Li P; Lu X; Liu Y
Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081119
[TBL] [Abstract][Full Text] [Related]
11. Interactive Lane Keeping System for Autonomous Vehicles Using LSTM-RNN Considering Driving Environments.
Jeong Y
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560257
[TBL] [Abstract][Full Text] [Related]
12. Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories.
Li M; Li Z; Xu C; Liu T
Accid Anal Prev; 2020 Feb; 135():105345. PubMed ID: 31751785
[TBL] [Abstract][Full Text] [Related]
13. End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm.
Hu H; Lu Z; Wang Q; Zheng C
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32971987
[TBL] [Abstract][Full Text] [Related]
14. Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach.
Zhu J; Ma Y; Lou Y
Accid Anal Prev; 2022 Mar; 166():106546. PubMed ID: 34965492
[TBL] [Abstract][Full Text] [Related]
15. A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects.
Wu J; Wen H; Qi W
Accid Anal Prev; 2020 Dec; 148():105796. PubMed ID: 33099126
[TBL] [Abstract][Full Text] [Related]
16. Lane change warning threshold based on driver perception characteristics.
Wang C; Sun Q; Fu R; Li Z; Zhang Q
Accid Anal Prev; 2018 Aug; 117():164-174. PubMed ID: 29704793
[TBL] [Abstract][Full Text] [Related]
17. Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic.
Wang C; Sun Q; Li Z; Zhang H
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32316210
[TBL] [Abstract][Full Text] [Related]
18. An integrated architecture for intelligence evaluation of automated vehicles.
Huang H; Zheng X; Yang Y; Liu J; Liu W; Wang J
Accid Anal Prev; 2020 Sep; 145():105681. PubMed ID: 32712190
[TBL] [Abstract][Full Text] [Related]
19. Research on Vehicle Trajectory Deviation Characteristics on Freeways Using Natural Driving Trajectory Data.
Dai Z; Pan C; Xiong W; Ding R; Zhang H; Xu J
Int J Environ Res Public Health; 2022 Nov; 19(22):. PubMed ID: 36429411
[TBL] [Abstract][Full Text] [Related]
20. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns.
Shangguan Q; Fu T; Wang J; Fang S; Fu L
Accid Anal Prev; 2022 Jan; 164():106500. PubMed ID: 34823098
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
