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Journal of Zhejiang University SCIENCE A 2010 Vol.11 No.3 P.191-201

10.1631/jzus.A0900374


Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following


Author(s):  Li-hua LUO, Hong LIU, Ping LI, Hui WANG

Affiliation(s):  State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   liu.hliu@gmail.com

Key Words:  Adaptive cruise control (ACC), Multi-objectives, Comfort, Fuel-economy, Model predictive control (MPC)


Li-hua LUO, Hong LIU, Ping LI, Hui WANG. Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following[J]. Journal of Zhejiang University Science A, 2010, 11(3): 191-201.

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author="Li-hua LUO, Hong LIU, Ping LI, Hui WANG",
journal="Journal of Zhejiang University Science A",
volume="11",
number="3",
pages="191-201",
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publisher="Zhejiang University Press & Springer",
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%T Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following
%A Li-hua LUO
%A Hong LIU
%A Ping LI
%A Hui WANG
%J Journal of Zhejiang University SCIENCE A
%V 11
%N 3
%P 191-201
%@ 1673-565X
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0900374

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T1 - Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following
A1 - Li-hua LUO
A1 - Hong LIU
A1 - Ping LI
A1 - Hui WANG
J0 - Journal of Zhejiang University Science A
VL - 11
IS - 3
SP - 191
EP - 201
%@ 1673-565X
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0900374


Abstract: 
For automated vehicles, comfortable driving will improve passengers’ satisfaction. Reducing fuel consumption brings economic profits for car owners, decreases the impact on the environment and increases energy sustainability. In addition to comfort and fuel-economy, automated vehicles also have the basic requirements of safety and car-following. For this purpose, an adaptive cruise control (ACC) algorithm with multi-objectives is proposed based on a model predictive control (MPC) framework. In the proposed ACC algorithm, safety is guaranteed by constraining the inter-distance within a safe range; the requirements of comfort and car-following are considered to be the performance criteria and some optimal reference trajectories are introduced to increase fuel-economy. The performances of the proposed ACC algorithm are simulated and analyzed in five representative traffic scenarios and multiple experiments. The results show that not only are safety and car-following objectives satisfied, but also driving comfort and fuel-economy are improved significantly.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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