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[HTML][HTML] Monitoring distracted driving behaviours with smartphones: an extended systematic literature review
Driver behaviour monitoring is a broad area of research, with a variety of methods and
approaches. Distraction from the use of electronic devices, such as smartphones for texting …
approaches. Distraction from the use of electronic devices, such as smartphones for texting …
DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion
Driving style detection is an essential real-world requirement in diverse contexts, such as
traffic safety, car insurance and fuel consumption optimization. However, the existing …
traffic safety, car insurance and fuel consumption optimization. However, the existing …
A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data
There are many systems to evaluate driving style based on smartphone sensors without
enough awareness from the context. To cover this gap, we propose a new system namely …
enough awareness from the context. To cover this gap, we propose a new system namely …
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 …
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 …
Applications and services using vehicular exteroceptive sensors: A survey
Modern vehicles are equipped with a myriad of sensors. Proprioceptive sensors monitor the
vehicle status and operation, whereas exteroceptive ones sense the external environment …
vehicle status and operation, whereas exteroceptive ones sense the external environment …
[HTML][HTML] Vehicle mode and driving activity detection based on analyzing sensor data of smartphones
In this paper, we present a flexible combined system, namely the Vehicle mode-driving
Activity Detection System (VADS), that is capable of detecting either the current vehicle …
Activity Detection System (VADS), that is capable of detecting either the current vehicle …
[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 …
DrunkChain: blockchain-based IoT system for preventing drunk driving-related traffic accidents
Traffic accidents present significant risks to human life, leading to a high number of fatalities
and injuries. According to the World Health Organization's 2022 worldwide status report on …
and injuries. According to the World Health Organization's 2022 worldwide status report on …
SafeShareRide: Edge-based attack detection in ridesharing services
Ridesharing services, such as Uber and Didi, are enjoying great popularity; however, a big
challenge remains in guaranteeing the safety of passenger and driver. State-of-the-art work …
challenge remains in guaranteeing the safety of passenger and driver. State-of-the-art work …