Enhancing Road safety through accurate detection of hazardous driving behaviors with graph convolutional recurrent networks

QR Code

Enhancing Road safety through accurate detection of hazardous driving behaviors with graph convolutional recurrent networks

Car accidents remain a significant public safety issue worldwide, with the majority of them attributed to driver errors stemming from inadequate driving knowledge, non-compliance with regulations, and poor driving habits. To increase road safety, several studies proposed Driving Behavior Detection (...

Full description

Bibliographic Details
Main Authors:	Khosravinia, Pooyan, Perumal, Thinagaran, Zarrin, Javad
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/107708/

Similar Items

On the accurate numerical evaluation of geodetic convolution integrals
by: Hirt, Christian, et al.
Published: (2011)

License Plate Recognition Using Convolutional recurrent Neural Network
by: Tee, Kai Feng
Published: (2019)

Convolutional hypercube pyramid for accurate RGB-D object category and instance recognition
by: Mohd Zaki, Hasan Firdaus, et al.
Published: (2016)

Green driver: Driving behaviors revisited on safety
by: Muslim, N., et al.
Published: (2018)

Characteristic of safety recovery zone and roadside hazard cases in malaysia road: A review
by: Kunji, Ahmad Kamal, et al.
Published: (2018)

Vulnerable Road Users Detection using Convolutional Deep Feedforward Network
by: Lau, Mian Mian
Published: (2021)

Fast and accurate algorithm for ECG authentication using residual depthwise separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020)

Efficient Discovery Protocol for Ubiquitous Communication in Wireless Environment
by: Zarrin, Javad
Published: (2009)

Context-aware sentence categorisation: word mover’s distance and character-level convolutional recurrent neural network
by: Fu, Xinyu
Published: (2018)

Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting
by: Goh, Hui Hwang, et al.
Published: (2021)

Driving business intelligence transformation through AI and data analytics: a comprehensive framework
by: Perumal, Thinagaran, et al.
Published: (2024)

Expert: include hazard perception test in driving syllabus
by: Aziz, Fazleena
Published: (2024)

Examining reasons for irresponsible driving and improving the effectiveness of road safety interventions through social marketing.
by: Deng, Jiefang
Published: (2017)

Generating cause-implication graphs for process systems via blended hazard identification methods
by: Németh, E., et al.
Published: (2011)

Modeling and validation of electric vehicle drive line architectureusing bond graph
by: Rahman, Mohammed Ataur, et al.
Published: (2020)

Assessing safety culture and safety performance in a high hazard industry
by: Jones, Ceri
Published: (2014)

Road-design and Road-Safety in Surface Mining
by: Thompson, Roger
Published: (2014)

Epileptic seizure detection from electroencephalogram (EEG) signals using linear graph convolutional network and DenseNet based hybrid framework
by: Jibon, Ferdaus Anam, et al.
Published: (2023)

The relation between hemoglobin and recurrent oral ulcer
by: Mustafa Al-Ahmad, Basma Ezzat, et al.
Published: (2015)

Mathematical Model and Cloud Computing of Road Network Operations under Non-Recurrent Events
by: Aljuaydi, Fahad Mesfer M
Published: (2022)

Hazard Analysis for Safety-critical Systems Using SOFL
by: Azma, Abdullah, et al.
Published: (2013)

Identification of hazardous road location based on design consistency and accident prediction model federal road in Johor
by: Zainal, Zaffan Farhana
Published: (2018)

Take road safety seriously, road users told
by: The Borneo Post
Published: (2016)

Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni
by: Behzad , Mahaseni
Published: (2021)

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
by: Ahmed Ali Mohammed, Al-saffar
Published: (2024)

Risk analysis for the road transportation of hazardous chemicals in Malaysia: a methodology
by: Abdul Rashid, Zulkifli, et al.
Published: (2011)

Father of modern road safety
by: New Sunday Times,
Published: (2013)

Road safety may be compromised
by: Babulal, Veena
Published: (2019)

Research needed for road safety
by: Koya, Zakiah
Published: (2022)

Deceleration performance comparison for passenger car under on-road and off-road driving condition
by: Mohd Khairil, Asri Kamaluddin
Published: (2010)

An accurate self-commissioning technique for matrix converters applied to sensorless control of synchronous reluctance motor drives
by: Stella, Fausto, et al.
Published: (2018)

End of the road for corrupt driving schools, warns Loke
by: The Star, .
Published: (2024)

Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit
by: Rahim, Md. Abdur, et al.
Published: (2024)

Road crash injury severity prediction using a graph neural network framework
by: Sattar, Karim A., et al.
Published: (2024)

Identification of Hazardous Road Sections: Crash Data versus Composite Index Method
by: Intan Suhana, Mohd Razelan, et al.
Published: (2014)

Identification of hazardous road sections: crash data versus composite index method
by: Mohd Razelan, Intan Suhana, et al.
Published: (2014)

Attentional differences in a driving hazard perception task in adults with autism spectrum disorders
by: Sheppard, Elizabeth, et al.
Published: (2016)

Updates of Road Safety Status in Malaysia
by: Radin Sohadi, Radin Umar
Published: (2005)

Govt honours road safety advocate
by: Morhan, Sivanisvarry
Published: (2023)

Of road safety rules and heavy vehicles
by: New Straits Times, .
Published: (2025)