Cooperative Collision Avoidance at Intersections: Algorithms and Experiments

被引:223
|
作者
Hafner, Michael R. [1 ]
Cunningham, Drew [2 ]
Caminiti, Lorenzo [2 ]
Del Vecchio, Domitilla [3 ,4 ]
机构
[1] Univ Michigan, Syst Lab, Ann Arbor, MI 48109 USA
[2] Toyota Motor Engn & Mfg North Amer, Integrated Vehicle Syst Dept, Erlanger, KY 41018 USA
[3] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[4] MIT, Lab Informat & Decis Syst, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
Automatic control; control system synthesis; intelligent vehicles; land vehicles; networked control systems; remotely operated vehicles; traffic control; transportation; HYBRID SYSTEMS; SAFETY CONTROL; VERIFICATION; DYNAMICS;
D O I
10.1109/TITS.2013.2252901
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper, we leverage vehicle-to-vehicle (V2V) communication technology to implement computationally efficient decentralized algorithms for two-vehicle cooperative collision avoidance at intersections. Our algorithms employ formal control theoretic methods to guarantee a collision-free (safe) system, whereas overrides are only applied when necessary to prevent a crash. Model uncertainty and communication delays are explicitly accounted for by the model and by the state estimation algorithm. The main contribution of this work is to provide an experimental validation of our method on two instrumented vehicles engaged in an intersection collision avoidance scenario in a test track.
引用
收藏
页码:1162 / 1175
页数:14
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