A Review of Surrogate Safety Measures Uses in Historical Crash Investigations
Historical road crash data are the main indicator for measuring road safety outcomes. Over
the past few decades, significant efforts have been made in obtaining and exploiting …
the past few decades, significant efforts have been made in obtaining and exploiting …
Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting
Introduction: COVID-19 has disrupted daily life and societal flow globally since December
2019; it introduced measures such as lockdown and suspension of all non-essential …
2019; it introduced measures such as lockdown and suspension of all non-essential …
A systematic review on sensor-based driver behaviour studies: Coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future …
In the plan and development of Intelligent Transportation Systems (ITS), understanding
drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive …
drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive …
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data
The objective of this research is to exploit high resolution driving behavior data collected via
sensors of smartphones from 303 drivers in order to examine driver behavior at road …
sensors of smartphones from 303 drivers in order to examine driver behavior at road …
Deep reinforcement learning for personalized driving recommendations to mitigate aggressiveness and riskiness: Modeling and impact assessment
EG Mantouka, EI Vlahogianni - Transportation research part C: emerging …, 2022 - Elsevier
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …
Assistance Systems (ADAS), are usually designed based on the behavior of an average …
Spatial predictions of harsh driving events using statistical and machine learning methods
Harsh driving behavior events, such as harsh braking events (HBs) are road safety
surrogate measures showing promising research venues towards crash mitigation, such as …
surrogate measures showing promising research venues towards crash mitigation, such as …
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …
advancements in data collection, storage and analysis provide the means for deeper …
Driver behavior profiling and recognition using deep-learning methods: In accordance with traffic regulations and experts guidelines
The process of collecting driving data and using a computational model to generate a safety
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …
The transformation of the insurance industry and road safety by driver safety behaviour telematics
In contemporary motorized societies, human factors remain overwhelmingly responsible for
road crash occurrence. Urged by considerable technological developments, insurers have …
road crash occurrence. Urged by considerable technological developments, insurers have …
[HTML][HTML] Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors
Abstract The Internet of Things (IoT) constantly offers new opportunities and features to
monitor and analyze driver behavior through wide use of smartphones, effective data …
monitor and analyze driver behavior through wide use of smartphones, effective data …