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.
Original language | English |
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Pages (from-to) | 276-286 |
Number of pages | 11 |
Journal | IEEE Transactions on Intelligent Vehicles |
Volume | 3 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2018 |
Bibliographical note
Accepted author manuscriptKeywords
- Cooperative car-following
- driving behavior estimation
- lane change prediction
- model predictive control