International Conference on Computer and Knowledge Engineering

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Driving Violation Detection Using Vehicle Data and Environmental Conditions

Authors :

Masood Ghasemi¹ Mahmood Fathy² Mohammad Shahverdy³

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

Data Clustering using Chimp Optimization Algorithm

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Efficient Object Detection using Deep Reinforcement Learning and Capsule Networks

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Human vs NotebookLM for Educational Podcasts: A Controlled Experiment on Two General Topics

Ali Banihashemi - Amirali Shahriary - Yadollah Yaghoobzadeh

A Formalism for Specifying Capability-based Task Allocation in MAS

Samaneh HoseinDoost - Bahman Zamani - Afsaneh Fatemi

FAHP-OF: A New Method for Load Balancing in RPL-based Internet of Things (IoT)

Mohammad Koosha - Behnam Farzaneh - Emad Alizadeh - Shahin Farzaneh

A Hybrid Echo State Network for Hypercomplex Pattern Recognition, Classification, and Big Data Analysis

Mohammad Jamshidi - Fatemeh Daneshfar

A New Hypercube Variant: Pruned Shuffle Connected Cube

Reza Latifi - Mahmoud Naghibzadeh

Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)

Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade

A Simple Low Cost Approach to Detect Hand Gesture Based on Software Event Camera Emulation

Ali Sabet Akbarzadeh - Abedin Vahedian

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani