Gamified mobile applications for improving driving behavior: A systematic mapping study
Many research works and official reports approve that irresponsible driving behavior on the
road is the main cause of accidents. Consequently, responsible driving behavior can …
road is the main cause of accidents. Consequently, responsible driving behavior can …
Driver profiling using long short term memory (LSTM) and convolutional neural network (CNN) methods
A Cura, H Küçük, E Ergen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Driver profiling has a major impact on traffic safety, fuel consumption and gas emission.
LSTM and CNN based neural network models were developed to classify and assess bus …
LSTM and CNN based neural network models were developed to classify and assess bus …
Traffic event reporting framework using mobile crowdsourcing and blockchain
AO Philip, RAK Saravanaguru, PA Abhay - Computer Networks, Big Data …, 2022 - Springer
Timely detection of traffic events is of upmost importance in contributing towards traffic safety
and ease of commute. A spatial mobile crowdsourcing framework is proposed, enabling …
and ease of commute. A spatial mobile crowdsourcing framework is proposed, enabling …
Construction of analytical models for driving energy consumption of electric buses through machine learning
KC Lin, CN Lin, JJC Ying - Applied sciences, 2020 - mdpi.com
In recent years, the Taiwan government has been calling for the use of public transportation
and has been popularizing pollution-reducing green vehicles. Passenger transport …
and has been popularizing pollution-reducing green vehicles. Passenger transport …
Man-in-the-OBD: A modular, protocol agnostic firewall for automotive dongles to enhance privacy and security
Third-party dongles for cars, eg from insurance companies, can extract sensitive data and
even send commands to the car via the standardized OBD-II interface. Due to the lack of …
even send commands to the car via the standardized OBD-II interface. Due to the lack of …
3DCNN-based real-time driver fatigue behavior detection in urban rail transit
Y Liu, T Zhang, Z Li - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid development of urban rail transit, traffic safety has become the focus of
attention and people are paying increasing attention to the prevention of fatigue …
attention and people are paying increasing attention to the prevention of fatigue …
Driving Style and Traffic Prediction with Artificial Neural Networks Using On-Board Diagnostics and Smartphone Sensors.
Driving style and road traffic play pivotal roles in the development of smart cities, influencing
traffic flow, safety, and environmental sustainability. This study presents an innovative …
traffic flow, safety, and environmental sustainability. This study presents an innovative …
RETRACTED ARTICLE: Stacking optimized with artificial bee colony for driving style classification by feature reconstruction from OBD II data
G Priyadharshini, MF Ukrit - Soft Computing, 2023 - Springer
Awareness and attention of drivers while driving show a vital role in decreasing the number
of collisions. In the modern decades, in-car entertainment is a major cause of degradation of …
of collisions. In the modern decades, in-car entertainment is a major cause of degradation of …
Change Your Car's Filters: Efficient Concurrent and Multi-Stage Firewall for OBD-II Network Traffic
Modern cars offer one common interface to the outside, the OBD. Among the multitude of
protocols that could exchange messages with the car's internal devices over OBD the CAN …
protocols that could exchange messages with the car's internal devices over OBD the CAN …
Driving anomaly detection using conditional generative adversarial network
Anomaly driving detection is an important problem in advanced driver assistance systems
(ADAS). It is important to identify potential hazard scenarios as early as possible to avoid …
(ADAS). It is important to identify potential hazard scenarios as early as possible to avoid …