M2M Based Real-Time Overweight Vehicle Detection for Road Safety and Traffic Management

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M2M Based Real-Time Overweight Vehicle Detection for Road Safety and Traffic Management

Mahadi, Patwary Rezwan / Islam, Md. Sajjad-UI / Hossain, Mohammed Jobayer / Azim, Anwarul / Shariare, Fazla Ilahi / Ahmed, Alif

Abstract

The increasing incidence of overweight cars poses a significant risk to both road safety and infrastructure. The focal point of this study is the preservation of road safety through the mitigation of the issue posed by excessively heavy cars. The primary aim of this study is to construct a cohesive system that utilizes force sensors and ESP8266 modules in order to precisely assess load weights and provide a smooth transfer of data. The approach involves the incorporation of force sensors and ESP8266 modules into automobiles, therefore establishing a network of strategically placed ESP8266 modules along the sides of roadways. When the presence of obesity is identified, ESP8266 modules trigger auditory alarms inside automobiles and at law enforcement command centers while simultaneously presenting notifications on visual displays. In addition, essential vehicle information details are saved in a centralized manner on a dedicated website, therefore guaranteeing the integrity and availability of the data. The primary findings demonstrate a successful system for promptly identifying, notifying, and documenting instances of cars exceeding weight limits, hence improving road safety and facilitating the handling of traffic violations. In summary, this study presents a novel and pragmatic strategy to address the hazards associated with overweight cars, thereby promoting enhanced road safety and infrastructure maintenance.

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Dokumentinformationen

Titel :

M2M Based Real-Time Overweight Vehicle Detection for Road Safety and Traffic Management

Beteiligte:

Mahadi, Patwary Rezwan (Autor:in) / Islam, Md. Sajjad-UI (Autor:in) / Hossain, Mohammed Jobayer (Autor:in) / Azim, Anwarul (Autor:in) / Shariare, Fazla Ilahi (Autor:in) / Ahmed, Alif (Autor:in)

Erschienen in:

2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) ; 1-6

Erscheinungsdatum :

2024-03-08

Format / Umfang :

4706014 byte

ISBN :

979-8-3503-5028-9

DOI :

https://doi.org/10.1109/iCACCESS61735.2024.10499561

Medientyp :

Aufsatz (Konferenz)