A lane-changing risk profile analysis method based on time-series clustering
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A lane-changing risk profile analysis method based on time-series clustering
Authors
Keywords
Lane-changing, Risk profile analysis, Driving safety field theory, Instantaneous risk measurement, Time-series clustering
Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 565, Issue -, Pages 125567
Publisher
Elsevier BV
Online
2020-12-05
DOI
10.1016/j.physa.2020.125567
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach
- (2020) Tianyi Chen et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles
- (2020) Xiupeng Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Simultaneous modeling of car-following and lane-changing behaviors using deep learning
- (2019) Xiaohui Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Optimal location of lane-changing warning point in a two-lane road considering different traffic flows
- (2019) Jia He et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving
- (2019) Dianchao Lin et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A hybrid model for lane change prediction with V2X-based driver assistance
- (2019) Ting Xu et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Active lane-changing model of vehicle in B-type weaving region based on potential energy field theory
- (2019) Yanli Ma et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A new fuzzy time series model based on robust clustering for forecasting of air pollution
- (2018) Nevin Güler Dincer et al. Ecological Informatics
- Stochastic Model-Predictive Control for Lane Change Decision of Automated Driving Vehicles
- (2018) Jongsang Suh et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Robust design of ambient-air vaporizer based on time-series clustering
- (2018) Yongkyu Lee et al. COMPUTERS & CHEMICAL ENGINEERING
- A dynamic lane-changing trajectory planning model for automated vehicles
- (2018) Da Yang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Time-series clustering based on linear fuzzy information granules
- (2018) Lingzi Duan et al. APPLIED SOFT COMPUTING
- Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques
- (2017) Ding Zhao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact
- (2017) Xiang Li et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A lane-change trajectory model from drivers’ vision view
- (2017) Bin Zhou et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Lane changing intention recognition based on speech recognition models
- (2016) Keqiang Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Driving safety field theory modeling and its application in pre-collision warning system
- (2016) Jianqiang Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A dynamic automated lane change maneuver based on vehicle-to-vehicle communication
- (2016) Yugong Luo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A binary decision model for discretionary lane changing move based on fuzzy inference system
- (2016) Esmaeil Balal et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- If, When, and How to Perform Lane Change Maneuvers on Highways
- (2016) Julia Nilsson et al. IEEE Intelligent Transportation Systems Magazine
- Interpolation based consensus clustering for gene expression time series
- (2015) Tai-Yu Chiu et al. BMC BIOINFORMATICS
- Situation assessment and decision making for lane change assistance using ensemble learning methods
- (2015) Yi Hou et al. EXPERT SYSTEMS WITH APPLICATIONS
- Coordinated Adaptive Cruise Control System With Lane-Change Assistance
- (2015) Ruina Dang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- The Driving Safety Field Based on Driver–Vehicle–Road Interactions
- (2015) Jianqiang Wang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Time-series clustering – A decade review
- (2015) Saeed Aghabozorgi et al. INFORMATION SYSTEMS
- Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series
- (2015) Ben DeVries et al. REMOTE SENSING OF ENVIRONMENT
- Game theoretic approach for predictive lane-changing and car-following control
- (2015) Meng Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A clustering time series model for the optimal hedge ratio decision making
- (2014) Yu-Chia Hsu et al. NEUROCOMPUTING
- A comparative study of efficient initialization methods for the k-means clustering algorithm
- (2012) M. Emre Celebi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Dynamic Modeling of Driver Control Strategy of Lane-Change Behavior and Trajectory Planning for Collision Prediction
- (2012) Guoqing Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now