Car-following models for human-driven vehicles and autonomous vehicles: A systematic review
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
An overview on study of identification of driver behavior characteristics for automotive control
Driver characteristics have been the research focus for automotive control. Study on
identification of driver characteristics is provided in this paper in terms of its relevant …
identification of driver characteristics is provided in this paper in terms of its relevant …
A suggestion-based hierarchical energy efficient control framework for connected and automated vehicles in mixed stream urban road networks
Connected and automated vehicles (CAVs) and their advanced control systems have the
ability to improve energy efficiency and mobility of the transportation system, but hundred …
ability to improve energy efficiency and mobility of the transportation system, but hundred …
Transfer learning for driver model adaptation in lane-changing scenarios using manifold alignment
Driver model adaptation (DMA) provides a way to model the target driver when sufficient
data are not available. Traditional DMA methods running at the model level are restricted by …
data are not available. Traditional DMA methods running at the model level are restricted by …
Driver-behavior modeling using on-road driving data: A new application for behavior signal processing
This article reviews data-centric approaches for statistical modeling of driver behavior.
Modeling driver behavior is challenging due to its stochastic nature and the high degree of …
Modeling driver behavior is challenging due to its stochastic nature and the high degree of …