Analyzing driver behavior under naturalistic driving conditions: A review
For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …
of driving behavior data for a better understanding of the causes related to road accidents. A …
Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review
The state of practice of investigating traffic safety and operation is primarily based on
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
Scenario-based testing for the safety validation of highly automated vehicles is a promising
approach that is being examined in research and industry. This approach heavily relies on …
approach that is being examined in research and industry. This approach heavily relies on …
Autonomous vehicles that interact with pedestrians: A survey of theory and practice
One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …
environments. To make it a reality, autonomous vehicles require the ability to communicate …
Pedestrian interaction with vehicles: roles of explicit and implicit communication
D Dey, J Terken - Proceedings of the 9th international conference on …, 2017 - dl.acm.org
This paper presents a study that aimed to identify the importance of eye contact and
gestures between pedestrians and drivers. A video-based observation and coding was …
gestures between pedestrians and drivers. A video-based observation and coding was …
Criticality analysis for the verification and validation of automated vehicles
The process of verification and validation of automated vehicles poses a multi-faceted
challenge with far-reaching societal, economical and ethical consequences. In particular …
challenge with far-reaching societal, economical and ethical consequences. In particular …
[BOK][B] Traffic safety and human behavior
D Shinar - 2017 - emerald.com
“A grave problem that developed in New Hampshire… now has all the motor-vehicle
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …
100-driver: a large-scale, diverse dataset for distracted driver classification
J Wang, W Li, F Li, J Zhang, Z Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Distracted driver classification (DDC) plays an important role in ensuring driving safety.
Although many datasets are introduced to support the study of DDC, most of them are small …
Although many datasets are introduced to support the study of DDC, most of them are small …
Statistical methods for naturalistic driving studies
F Guo - Annual review of statistics and its application, 2019 - annualreviews.org
The naturalistic driving study (NDS) is an innovative research method characterized by the
continuous recording of driving information using advanced instrumentation under real …
continuous recording of driving information using advanced instrumentation under real …
Robust data-driven framework for driver behavior profiling using supervised machine learning
Driver behavior profiling has been gaining increased attention due to its relevance in many
applications. For instance, car insurance telematics and fleet management entities have …
applications. For instance, car insurance telematics and fleet management entities have …