[HTML][HTML] Monitoring distracted driving behaviours with smartphones: an extended systematic literature review

E Papatheocharous, C Kaiser, J Moser, A Stocker - Sensors, 2023 - mdpi.com
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 …

DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion

J Liu, Y Liu, D Li, H Wang, X Huang, L Song - Applied Intelligence, 2023 - Springer
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 …

A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data

MM Bejani, M Ghatee - Transportation Research Part C: Emerging …, 2018 - Elsevier
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 …

Vehicular data space: The data point of view

PH Rettore, G Maia, LA Villas… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
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 …

Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning

A Ziakopoulos, A Kontaxi, G Yannis - Accident Analysis & Prevention, 2023 - Elsevier
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …

Applications and services using vehicular exteroceptive sensors: A survey

FM Ortiz, M Sammarco, LHMK Costa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Modern vehicles are equipped with a myriad of sensors. Proprioceptive sensors monitor the
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

DN Lu, DN Nguyen, TH Nguyen, HN Nguyen - Sensors, 2018 - mdpi.com
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 …

[HTML][HTML] Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors

A Kontaxi, A Ziakopoulos, G Yannis - IATSS research, 2021 - Elsevier
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 …

DrunkChain: blockchain-based IoT system for preventing drunk driving-related traffic accidents

H Farooq, A Altaf, F Iqbal, JC Galán, DG Aray, I Ashraf - Sensors, 2023 - mdpi.com
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 …

SafeShareRide: Edge-based attack detection in ridesharing services

L Liu, X Zhang, M Qiao, W Shi - 2018 IEEE/ACM symposium on …, 2018 - ieeexplore.ieee.org
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 …