Smart Vehicle Control Systems for Traffic Law Enforcement: Harnessing IoT Technologies

This article discusses how IoT technologies have transformed the world of traffic law enforcement with a focus on its capability to enhance traffic control, reduce offences and enhance road safety. IoT solutions give real-time insights into the occurrence of such offences together with automated enforcement through the use of sensors, cameras, RFID Technologies and cloud interfaces. It is established from the study that traffic offences have been reduced by half, with cases coming down from 5,000 to 2,500 per year after the integration of IoT equipment. Furthermore, better police reaction times have also been achieved by increasing law enforcement response times by 67% from 30 minutes to a 10-minute response time so that police are able to respond and improve traffic management. The application of IoT technology led to an improvement in road safety by 40%, and annual traffic accidents were cut down from 200 to 120. The payback period analysis shows that the investment in IoT technology is $500 000, bearing in mind the major benefits that include a $700 000 cut down on accidents and $300 000 optimization on congestion and operations. Nevertheless, the public response still needs to improve to satisfy concerns about privacy and the perpetual monitoring of their vehicles. The above-stated ethical issues need to be addressed through comprehensive data protection regulations and transparency for the popularity of IoT-based traffic systems. In summary, IoT technologies present a compelling and cost-effective solution for traffic law enforcement. These technologies have significantly reduced traffic offences, improved road safety, and optimised the use of resources.

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Publication Details

Published
2024-10-04
DOI
https://doi.org/10.1109/gcat62922.2024.10924129
Citations
1
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.78
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article

Smart Vehicle Control Systems for Traffic Law Enforcement: Harnessing IoT Technologies

Shiva Mehta, Sunila Choudhary
1 citations
Digital and Cyber Forensics
0.78
article

Smart Vehicle Control Systems for Traffic Law Enforcement: Harnessing IoT Technologies

Shiva Mehta, Sunila Choudhary
article en
1 citations

Abstract

This article discusses how IoT technologies have transformed the world of traffic law enforcement with a focus on its capability to enhance traffic control, reduce offences and enhance road safety. IoT solutions give real-time insights into the occurrence of such offences together with automated enforcement through the use of sensors, cameras, RFID Technologies and cloud interfaces. It is established from the study that traffic offences have been reduced by half, with cases coming down from 5,000 to 2,500 per year after the integration of IoT equipment. Furthermore, better police reaction times have also been achieved by increasing law enforcement response times by 67% from 30 minutes to a 10-minute response time so that police are able to respond and improve traffic management. The application of IoT technology led to an improvement in road safety by 40%, and annual traffic accidents were cut down from 200 to 120. The payback period analysis shows that the investment in IoT technology is $500 000, bearing in mind the major benefits that include a $700 000 cut down on accidents and $300 000 optimization on congestion and operations. Nevertheless, the public response still needs to improve to satisfy concerns about privacy and the perpetual monitoring of their vehicles. The above-stated ethical issues need to be addressed through comprehensive data protection regulations and transparency for the popularity of IoT-based traffic systems. In summary, IoT technologies present a compelling and cost-effective solution for traffic law enforcement. These technologies have significantly reduced traffic offences, improved road safety, and optimised the use of resources.

Centre for Research and Development (ZW), Chitkara University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Digital and Cyber Forensics
0.78
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Smart Vehicle Control Systems for Traffic Law Enforcement: Harnessing IoT Technologies — Shiva Mehta, Sunila Choudhary · (2024) | TGRS Research Map | TGRS