In recent years, modeling and recognizing driver behavior have become crucial to
understanding intelligence transport systems, human‐vehicle systems, and intelligent …

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 …

This paper presents a safety-based route planner that exploits vehicle-to-cloud-to-vehicle
(V2C2V) connectivity. Time and road risk index (RRI) are considered as metrics to be …

Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving
behaviors by many studies. This research proposes a driver identification method by …

A correct driving style can strongly affect the fuel consumption. This work proposes a method
to quantify the driving style economy via inertial measurements. It presents a low-cost and …

Intelligent transportation systems are a set of technological solutions used to improve the
performance and safety of road transportation. A crucial element that affects road safety is …

Google defines the concept of autonomous driving as one of the applications of big data.
Specifically, with the input sensor data, the autonomous vehicles can be provided with the …

This paper studies to characterize driver driving behavior or driver control structure in real
time. The three proposed methods use some of the signals such as the driver actuation …

In this paper we investigate the design of a lane-tracking driver-assist system and, in
particular, its interaction with the well-known two-point visual perception driver model. We …

We focus on the study of motion stability of vehicle nonlinear dynamics. The dynamic model
combining with Burckhardt tire model is firstly derived. By phase portrait method, the vehicle …