The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …
in the context of the driving scene and surrounding environment. Recently, DB assessment …
Driver behavior classification: a systematic literature review
Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …
accidents. Many road safety reports regard human behavior as the most important factor in …
Do you want your autonomous car to drive like you?
With progress in enabling autonomous cars to drive safely on the road, it is time to start
asking how they should be driving. A common answer is that they should be adopting their …
asking how they should be driving. A common answer is that they should be adopting their …
Exploring personalised autonomous vehicles to influence user trust
Trust is a major determinant of acceptance of an autonomous vehicle (AV), and a lack of
appropriate trust could prevent drivers and society in general from taking advantage of such …
appropriate trust could prevent drivers and society in general from taking advantage of such …
Predicting time-varying, speed-varying dilemma zones using machine learning and continuous vehicle tracking
This paper proposes an innovative framework of predicting driver behavior under varying
dilemma zone conditions using artificial intelligence-based machine learning. The …
dilemma zone conditions using artificial intelligence-based machine learning. The …
Comparison of proposed countermeasures for dilemma zone at signalized intersections based on cellular automata simulations
The Type II dilemma zone describes the road segment to a signalized intersection where
drivers have difficulties to decide either stop or go at the onset of yellow signal. Such …
drivers have difficulties to decide either stop or go at the onset of yellow signal. Such …
Vehicular data space: The data point of view
Over the years, governments and automakers launched initiatives to improve road traffic
efficiency, safety, and people mobility. They have been working on various aspects of …
efficiency, safety, and people mobility. They have been working on various aspects of …
SIV-DSS: Smart in-vehicle decision support system for driving at signalized intersections with V2I communication
In this paper, we present a Smart In-Vehicle Decision Support System (SIV-DSS) to help
making better stop/go decisions in the indecision zone as a vehicle is approaching a …
making better stop/go decisions in the indecision zone as a vehicle is approaching a …
An integrated intelligent intersection control system for preventing rear-end and angled crashes: system design and deployment results
YH Chen, GL Chang, SY Park, M Kim - Accident Analysis & Prevention, 2023 - Elsevier
In view of the dynamic all-red extension (DARE) system's effectiveness in preventing angled
crashes (Park et al., 2018), this study has further enhanced its function to contend with rear …
crashes (Park et al., 2018), this study has further enhanced its function to contend with rear …
SafeSmartDrive: Real-Time Traffic Environment Detection and Driver Behavior Monitoring With Machine and Deep Learning
The advancement of intelligent transportation systems is crucial for improving road safety
and optimizing traffic flow. In this paper, we present SafeSmartDrive, an integrated …
and optimizing traffic flow. In this paper, we present SafeSmartDrive, an integrated …