0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Driving Violation Detection Using Vehicle Data and Environmental Conditions
Authors :
Masood Ghasemi
1
Mahmood Fathy
2
Mohammad Shahverdy
3
1- Department of Computer Engineering, Islamic Azad university, , Science and Research Branch
2- Iran University of Science and Technology
3- Iran University of Science and Technology
Keywords :
Traffic Violation,Support Vector Machine,Inter-Vehicular Network,Intelligent transportation system
Abstract :
Nowadays, the costs of car accidents have a catastrophic impact on human societies. To this end, a number of research have been conducted in order to design systems that are able to detect driving violations. Similarly, the present study was conducted to propose an approach that is able to detect and classify the driver’s behavior into two categories, which are labeled as traffic offender and non-offender, using the information collected via vehicle sensors and devices, such as cellphones. Therefore, the velocity signals, acceleration, engine Revolutions Per Minute (RPM), speed limits, and traffic being dispatched from the vehicle, cellphone, OpenStreetMap and google map were utilized to detect the driver's violation. Further, Support Vector Machine (SVM) was used to classify the driver as offender or non-offender, and the violation will be reported to the police via Inter-Vehicular networks.
Papers List
List of archived papers
Driving Violation Detection Using Vehicle Data and Environmental Conditions
Masood Ghasemi - Mahmood Fathy - Mohammad Shahverdy
Designing a High Perfomance and High Profit P2P Energy Trading System Using a Consortium Blockchain Network
Poonia Taheri Makhsoos - Behnam Bahrak - Fattaneh Taghiyareh
Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition
Aref Farhadipour - Homa Asadi - Volker Dellwo
Low-Cost and Hardware Efficient Implementation of Pooling Layers for Stochastic CNN Accelerators
Mobin Vaziri - Hadi Jahanirad
Information Theoretic Learning-based Deep Embedded Clustering (ITL-DEC)
Hoda Shad - Mona Zamiri - Tahereh Bahreini - Reza Monsefi - Ghoshe Abed Hodtani
Improving Motor Imagery Classification in BCI Systems Using EMD and Multi-Layer CNNs
Reza Arghand - Ali Chaibakhsh - Moein Radman
Islamic Geometric algorithms: A survey
Elham Akbari - Azam Bastanfard
Distinguishing Abstracts of Human-Written and ChatGPT-Generated Papers in the Field of Computer Science
Mohsen Arzani - Hamed Vahdat-Nejad - Matin Hossein-Pour
An influence maximization algorithm based on community detection using topological features
Zahra Aghaee - Afsaneh Fatemi
Analysis of Address Lifespans in Bitcoin and Ethereum
Amir Mohammad Karimi Mamaghan - Amin Setayesh - Behnam Bahrak
more
Samin Hamayesh - Version 41.3.1