On the Drivers’ Behavior Evaluation using Vehicular Networks

Simple item page
dc.contributor.authorBendouma, Tahar
dc.contributor.authorTahari, Abdou El Karim
dc.contributor.authorKerrache, Chaker Abdelaziz
dc.contributor.authorBoukhelkhaly, Mama Chima
dc.contributor.authorBendoumay, Rekaia
dc.contributor.authorLagraa, Nasreddine
dc.date.accessioned2024-03-12T18:32:23Z
dc.date.available2024-03-12T18:32:23Z
dc.date.issued2021-05-25
dc.description.abstractWith the emergence of connected and intelligent vehicles, various research projects aiming at reducing traffic accidents by detecting driver behavior have also emerged. These vehicles are generally equipped with cameras and sensors that can be used to detect driver’s fatigue, drowsiness, and distraction using different technologies and a multitude of classification techniques. In this work, we propose a new real-time driver behavior-detection technique based on vehicle-to-vehicle communication (V2V) and by exploiting the information carried by the periodically exchanged messages known as Cooperative Awareness Message (CAM) that are a part of the European ETSI-ITS standard (or Basic safety message BSM in the US standard). These information include the vehicle’s current speed, the average speed, the position, the acceleration, to name a few. In our proposal, each vehicle can classify its neighbors (normal, aggressive) according to its driver’s driving style. An audio or video message can be then generated to warn the driver of any vehicle presenting a danger. Simulations conduct in both rural and urban environments depict that our proposal called ”Vehicular Ad-Hoc Network Exchange Message (VanetExM)” can determine the state of the driver with a relatively high success rate and low overhead.
dc.identifier.isbn978-9931-9788-0-0
dc.identifier.urihttp://dspace.univ-oeb.dz:4000/handle/123456789/18731
dc.language.isoen
dc.publisherUniversity of Oum El Bouaghi
dc.subjectVanet; driver behavior; safety mssage; V2V communication; road safety.
dc.titleOn the Drivers’ Behavior Evaluation using Vehicular Networks
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
On the Drivers’ Behavior Evaluation using Vehicular Networks.pdf
Size:
553.58 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
The Second International Conference on Computer Science's Complex Systems and their Applications (Oum El Bouaghi, Algeria, May 25-26, 2021)