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.
- Cooperative car-following
- driving behavior estimation
- lane change prediction
- model predictive control
Zhang, Y., Lin, Q., Wang, J., Verwer, S., & Dolan, J. M. (2018). Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving. IEEE Transactions on Intelligent Vehicles, 3(3), 276-286. https://doi.org/10.1109/TIV.2018.2843178