Title: Research status of behaviour decision-making for intelligent vehicles

Authors: Di Tan; Shuaishuai Liu; Ruixian Li; Kun Yang

Addresses: School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo 255049, Shandong, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo 255049, Shandong, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo 255049, Shandong, China ' School of Transportation and Vehicle Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zhangdian, Zibo 255049, Shandong, China

Abstract: Intelligent vehicles will gradually replace human driving with the intelligence of intelligent vehicles continuing to increase, which is one of the necessary ways to solve the traffic accidents and traffic congestion caused by incorrect driving of humans. The behaviour decision-making system is the core part of intelligent vehicles. This system determines whether intelligent vehicles can produce driving behaviour of reason, and plays a vital role in the safety of intelligent vehicles. The research status of behaviour decision-making methods of intelligent vehicles and the different behaviour decision-making methods used in different scenarios are summarised by this paper. The difficulties in behaviour decision-making of intelligent vehicles are summarised and the future development direction of decision-making is discussed.

Keywords: intelligent vehicles; behavioural decision; intersection; urban area; expressways; automatic lane-changing.

DOI: 10.1504/IJVICS.2019.102228

International Journal of Vehicle Information and Communication Systems, 2019 Vol.4 No.3, pp.279 - 297

Received: 06 Feb 2019
Accepted: 06 Aug 2019

Published online: 10 Sep 2019 *

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