WiFi-based Vehicle Security System for Future Intelligent Transportation Systems

With the rapid maturation in automotive industry, intelligent sensing has been emerged as a vital research field for fast paced future intelligent transportation system. After the progressive integration of advanced driver assistance system and the rapid growth in next generation Internet of Vehicles (IoV), diver’s identification constitutes an indispensable aspect for the authorization in next generation internet-connected smart vehicles. Real-time driver identification is crucial in next generation smart vehicles. The presented solution is based on channel state information (CSI) of WiFi signals. In this proposed framework, an innovative WiFi- based low cost driver identification system is proposed which can recognize driver with good accuracy and less computational burden. The core idea is based on analyzing the steering wheel maneuver, exploiting CSI of WiFi signal. In the era of advanced information and communication in intelligent transportation system, this driver identification system may incorporate various intelligent means that are beneficial in many applications including safety, security, fleet management, ride hailing, insurance telematics, and customized vehicles. The proposed framework can recognize the activities with an average accuracy of 92.5% and identification with an average accuracy of 91.8%.

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Publication Details

Journal
International Journal of Automotive Science And Technology
Published
2024-12-29
DOI
https://doi.org/10.30939/ijastech..1431379
Citations
1
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.21
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article

WiFi-based Vehicle Security System for Future Intelligent Transportation Systems

Zain Ul Abiden Akhtar, Hafiz Faiz Rasool
1 citations
International Journal of Automotive Science And Technology
Vehicular Ad Hoc Networks (VANETs)
0.21
article

WiFi-based Vehicle Security System for Future Intelligent Transportation Systems

Zain Ul Abiden Akhtar, Hafiz Faiz Rasool
article en
1 citations

Abstract

With the rapid maturation in automotive industry, intelligent sensing has been emerged as a vital research field for fast paced future intelligent transportation system. After the progressive integration of advanced driver assistance system and the rapid growth in next generation Internet of Vehicles (IoV), diver’s identification constitutes an indispensable aspect for the authorization in next generation internet-connected smart vehicles. Real-time driver identification is crucial in next generation smart vehicles. The presented solution is based on channel state information (CSI) of WiFi signals. In this proposed framework, an innovative WiFi- based low cost driver identification system is proposed which can recognize driver with good accuracy and less computational burden. The core idea is based on analyzing the steering wheel maneuver, exploiting CSI of WiFi signal. In the era of advanced information and communication in intelligent transportation system, this driver identification system may incorporate various intelligent means that are beneficial in many applications including safety, security, fleet management, ride hailing, insurance telematics, and customized vehicles. The proposed framework can recognize the activities with an average accuracy of 92.5% and identification with an average accuracy of 91.8%.

International Journal of Automotive Science And TechnologyVol. 8(4)
Islamia University of Bahawalpur (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Vehicular Ad Hoc Networks (VANETs)
0.21
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WiFi-based Vehicle Security System for Future Intelligent Transportation Systems — Zain Ul Abiden Akhtar, Hafiz Faiz Rasool · International Journal of Automotive Science And Technology (2024) | TGRS Research Map | TGRS