This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Research on Multi-Vehicle Coordinated Lane Change of Connected and Automated Vehicles on the Highway

Journal Article
2019-01-0678
ISSN: 2641-9637, e-ISSN: 2641-9645
Published April 02, 2019 by SAE International in United States
Research on Multi-Vehicle Coordinated Lane Change of Connected and Automated Vehicles on the Highway
Sector:
Citation: Liu, D., Wu, J., Ye, Y., Shi, J. et al., "Research on Multi-Vehicle Coordinated Lane Change of Connected and Automated Vehicles on the Highway," SAE Int. J. Adv. & Curr. Prac. in Mobility 1(4):1386-1397, 2019, https://doi.org/10.4271/2019-01-0678.
Language: English

References

  1. Rios-Torres , J. and Malikopoulos , A.A. Automated and Cooperative Vehicle Merging at Highway On-Ramps IEEE Trans. Intell. Transp. Sys. 18 4 780 789 2017 10.1109/TITS.2016.2587582
  2. Luo , F. , Larson , J. , and Munson , T. Coordinated Platooning with Multiple Speeds Transp. Res. Pt. C-Emerg. Technol. 90 213 225 2018 10.1016/j.trc.2018.02.011
  3. Wang , Y.Y. , Pan , D. , Liu , Z. , and Feng , R. Study on Lane Change Trajectory Planning Considering of Driver Characteristics SAE Technical Paper 2018-01-1627 2018 10.4271/2018-01-1627
  4. Wang , Y. , Feng , R. , Pan , D. , Liu , Z. et al. The Trajectory Planning of the Lane Change Assist Based on the Model Predictive Control with Multi-Objective SAE Technical Paper 2017-01-2004 2017 10.4271/2017-01-2004
  5. Wang , S. , Ott , B.R. , and Luo , G. Detection of Lane-Change Events in Naturalistic Driving Videos Int. J. Pattern Recognit. Artif. Intell. 32 10 1850030 2018 10.1142/S0218001418500301
  6. Zhang , Y. and Ioannou , P.A. Combined Variable Speed Limit and Lane Change Control for Highway Traffic IEEE Transactions on Intelligent Transportation Systems 18 7 1812 1823 2017 10.1109/TITS.2016.2616493
  7. Yang , L. , Li , X. , Guan , W. , Zhang , H.M. , and Fan , L. Effect of Traffic Density on Drivers’ Lane Change and Overtaking Maneuvers in Freeway Situation - A Driving Simulator Based Study Traffic Injury Prevention 1-25 2018 10.1080/15389588.2018.1471470
  8. Suh , J. , Chae , H. , and Yi , K. Stochastic Model-Predictive Control for Lane Change Decision of Automated Driving Vehicles IEEE Transactions on Vehicular Technology 67 6 4771 4782 2018 10.1109/TVT.2018.2804891
  9. Zhang , Y. , Malikopoulos , A.A. , and Cassandras , C.G. Decentralized Optimal Control for Connected Automated Vehicles at Intersections Including Left and Right Turns 2017 IEEE 56th Annual Conference on Decision and Control (cdc) IEEE New York 2017 978-1-5090-2873-3
  10. Cerdeira , M. , Falcón , P. , Delgado , E. , and Barreiro , A. Reset Controller Design Based on Error Minimization for a Lane Change Maneuver Sensors 18 7 2204 2018 10.3390/s18072204
  11. Arefnezhad , S. , Ghaffari , A. , Khodayari , A. , and Nosoudi , S. Modeling of Double Lane Change Maneuver of Vehicles Int. J. Automot. Technol. 19 2 271 279 2018 10.1007/s12239-018-0026-z
  12. Chae , H. , Min , K.C. , and Yi , K. Model Predictive Control Based Automated Driving Lane Change Control Algorithm for Merge Situation on Highway Intersection SAE Technical Paper 2017-01-1441 2017 10.4271/2017-01-1441
  13. Wang , Y. , Feng , R. , Pan , D. , Liu , Z. et al. The Trajectory Planning of the Lane Change Assist Based on the Model Predictive Control with Multi-Objective SAE Technical Paper 2017-01-2004 2017 10.4271/2017-01-2004
  14. Wang , J. and Jian , H. Analysis of the Influence of Acceleration Characteristics on Occupant Damage During Vehicle Collision Vehicle Technology 01 30 34 2010
  15. Miao , C. , Liu , H. , Zhu , G.G. , and Chen , H. Connectivity-based Optimization of Vehicle Route and Speed for Improved Fuel Economy Transportation Research Part C: Emerging Technologies 91 353 368 2018 10.1016/j.trc.2018.04.014

Cited By