作者
Farhang Motallebi Araghi, Aaron Rabinwoitz, Chon Chia Ang, Sachin Sharma, Parth Kadav, Richard T Meyer, Thomas Bradley, Zachary D Asher
发表日期
2023/9/2
来源
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
页码范围
759-786
出版商
Springer International Publishing
简介
The development of novel vehicle control systems that improve Fuel Economy (FE) is of significant interest, owing to the economic, environmental, and social implications of transportation. These control methods can either alter driver behavior, vehicle dynamics, or powertrain operation. This review focuses on the Eco-driving (ED) application for Autonomous Vehicles (AVs) and aims to provide a current understanding of critical research gaps, and novel detailed overview of initial studies addressing these identified research gaps. A systems-level perspective on an ED realization in AVs is used to identify research gaps, which are then studied to determine subsystem Technology Readiness Levels (TRLs), Integration Readiness Levels (IRLs) and overall System Readiness Level (SRL). Major research gaps identified include (1) the influence of real-world AV sensors on the identification of important ED parameters, (2 …
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