NDLI: Review of trajectory optimisation for connected automated vehicles

Content Provider	IET Digital Library
Author	Wang, Yu Li, Xiaopeng Yao, Handong
Abstract	The connected automated vehicle (AV) technologies provide unprecedented opportunities for precisely controlling and optimising vehicle trajectories to improve traffic performance from the aspects of travel time reduction, driving comfort improvement, fuel consumption and emission savings and safety enhancement. Recently, connected and automated vehicle (CAV) trajectory optimisation research has become a hot topic. This study provides an overview of studies on CAV trajectory optimisation in the road traffic context, with a focus on the literature in the past decade. Rather than exhausting all related studies, this review focuses on categorising representative studies with several relevant criteria. On the basis of the review outcomes, research gaps and needs are discussed to facilitate future research.
Starting Page	580
Ending Page	586
Page Count	7
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 4, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5184
Journal	IET Intelligent Transport Systems
Publisher Date	2018-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CAV Trajectory Optimisation Research Connected Automated Vehicle Technology Connected AV Technology Connected-and-AV Trajectory Optimisation Research Driving Comfort Improvement Emission Savings Fuel Consumption Mobile Robots Road Safety Road Traffic Context Road Traffic Control Road Traffic System Control Safety Enhancement Spatial Variables Control Traffic Performance Trajectory Control Travel Time Reduction Vehicle Trajectory Control Vehicle Trajectory Optimisation
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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