Open AccessSpeed optimal method of intelligent network vehicles passing through signalized intersection
Author(s) -
Zhenglong Chen,
Jing Chen,
Chun Xiao,
Zhihua Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012106
Subject(s) - intersection (aeronautics) , computer science , position (finance) , intelligent transportation system , fuel efficiency , real time computing , signal (programming language) , simulation , automotive engineering , transport engineering , engineering , finance , economics , programming language
Aiming at the problem that the frequent stops and changes of intelligent network vehicles passing through the signalized intersections, speed Optimal method of intelligent network vehicles passing through signalized intersection is proposed in the paper. The position and speed of the intelligent network vehicles are detected by the RSU (Road Side Unit) in real time, the distance of ahead vehicles is controlled by the method. The frequent deceleration of the vehicles passing through the signal intersection is solved effectively, at the same time reducing the vehicles fuel consumption in the running.