Optimal Control Design for Connected Cruise Control with Edge Computing, Caching, and Control - Details

Author：

Wang, Zhuwei (Wang, Zhuwei.) | Gao, Yu (Gao, Yu.) | Fang, Chao (Fang, Chao.) | Sun, Yang (Sun, Yang.) | Si, Pengbo (Si, Pengbo.)

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Abstract：

As　an　advanced　driver　assistance　system　(ADAS),　connected　cruise　control　(CCC),　which　is　able　to　significantly　improve　vehicle＇s　reliability,　stability,　and　safety,　is　currently　under　extensive　investigation.　In　the　CCC　system,　V2V　communication　plays　a　key　role　in　sharing　a　large　amount　of　reliable　information　among　vehicles.　In　this　paper,　considering　the　communication　delays,　an　optimal　control　design　is　proposed　for　the　CCC　system　with　edge　controllers　having　the　capability　of　computing,　caching,　and　control.　First,　the　dynamics　of　each　vehicle　in　the　platoon　is　modeled　in　detail,　and　then　a　linear　quadratic　optimization　problem　is　formulated　when　the　sampling　period　and　the　communication　delay　are　considered.　In　order　to　minimize　the　deviations　of　vehicle＇s　headway　and　velocity,　the　optimal　control　strategy　is　iteratively　solved　using　a　backwards　recursion.　Finally,　numerical　simulations　are　carried　out　to　demonstrate　the　effectiveness　of　the　proposed　algorithm.　©　2019　IEEE.

Keyword：

Iterative methods Quadratic programming Advanced driver assistance systems Vehicle to vehicle communications Edge computing Optimal control systems Vehicles Automobile drivers Cruise control

Author Community：

[ 1 ] [Wang, Zhuwei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Wang, Zhuwei]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Wang, Zhuwei]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Gao, Yu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Gao, Yu]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Gao, Yu]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing; 100124, China
[ 7 ] [Fang, Chao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Fang, Chao]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 9 ] [Fang, Chao]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing; 100124, China
[ 10 ] [Sun, Yang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 11 ] [Sun, Yang]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 12 ] [Sun, Yang]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing; 100124, China
[ 13 ] [Si, Pengbo]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 14 ] [Si, Pengbo]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 15 ] [Si, Pengbo]Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address：

[wang, zhuwei]faculty of information technology, beijing university of technology, beijing; 100124, china;;[wang, zhuwei]beijing advanced innovation center for future internet technology, beijing university of technology, beijing; 100124, china;;[wang, zhuwei]beijing laboratory of advanced information networks, beijing university of technology, beijing; 100124, china

Email：

wangzhuwei@bjut.edu.cn

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