Print Email Facebook Twitter Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving Title Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving Author Zhang, Yihuan (Tongji University) Lin, Q. (TU Delft Cyber Security) Wang, Jun (Tongji University) Verwer, S.E. (TU Delft Cyber Security) Dolan, John M. (Carnegie Mellon University) Date 2018 Abstract Car-following is the most general behavior in highway driving. It is crucial to recognize the cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this paper, a method of behavior estimation is proposed to recognize and predict the lane change intentions based on the contextual traffic information. A model predictive controller is designed to optimize the acceleration sequences by incorporating the lane-change intentions of other vehicles. The public data set of next generation simulation is labeled and then published as a benchmarking platform for the research community. Experimental results demonstrate that the proposed method can accurately estimate vehicle behavior and therefore outperform the traditional car-following control. Subject Cooperative car-followingdriving behavior estimationlane change predictionmodel predictive control To reference this document use: http://resolver.tudelft.nl/uuid:a958f938-3376-42ea-b0df-55cd6d3fc18c DOI https://doi.org/10.1109/TIV.2018.2843178 ISSN 2379-8858 Source IEEE Transactions on Intelligent Vehicles, 3 (3), 276-286 Bibliographical note Accepted author manuscript Part of collection Institutional Repository Document type journal article Rights © 2018 Yihuan Zhang, Q. Lin, Jun Wang, S.E. Verwer, John M. Dolan Files PDF IEEE_TIV_ealy_access.pdf 1.26 MB Close viewer /islandora/object/uuid:a958f938-3376-42ea-b0df-55cd6d3fc18c/datastream/OBJ/view