Vehicle Detection Monitoring System using Internet of Things
Dublin Core
Title
Vehicle Detection Monitoring System using Internet of Things
Subject
Congestion, IHCM, Internet of Things, Vehicle detection, Web monitoring
Description
The overcapacity of vehicle numbers is one of the significant causes of the traffic congestion problem on Indonesia roadway.
The government applies a One-way system (SSA) as one proposed solution to unravel the congestion. However, several
congestion points are still found during the SSA implementation. Thus, this research offers an alternative method to detect
congestion using IoT technology. The system automatically enumerates the number, classifies the type, and computes the speed
averages of vehicles to identify the severity of congestion based on the Indonesian Highway Capacity Manual (IHCM)
published by the Ministry of Public Works 2014. We utilize ultrasonic sensors to detect the vehicles and send the data to the
server in real-time. The research successfully develops an IoT system for traffic congestion detection. Communication between
nodes and API can be done well. Data exchange involving encryption and decryption with AES-256 is successfully done.
Website application developed in this research is successfully show the severity level of the congestion and their vehicle
numbers. The average accuracy of the system is 78,97%. The system detected more vehicles than actual numbers due to the
misreading value of the sensors.
The government applies a One-way system (SSA) as one proposed solution to unravel the congestion. However, several
congestion points are still found during the SSA implementation. Thus, this research offers an alternative method to detect
congestion using IoT technology. The system automatically enumerates the number, classifies the type, and computes the speed
averages of vehicles to identify the severity of congestion based on the Indonesian Highway Capacity Manual (IHCM)
published by the Ministry of Public Works 2014. We utilize ultrasonic sensors to detect the vehicles and send the data to the
server in real-time. The research successfully develops an IoT system for traffic congestion detection. Communication between
nodes and API can be done well. Data exchange involving encryption and decryption with AES-256 is successfully done.
Website application developed in this research is successfully show the severity level of the congestion and their vehicle
numbers. The average accuracy of the system is 78,97%. The system detected more vehicles than actual numbers due to the
misreading value of the sensors.
Creator
Yani Nurhadryani1
, Wulandari2*
, Muhammad Naufal Farras Mastika3
, Wulandari2*
, Muhammad Naufal Farras Mastika3
Publisher
IPB University
Date
31-10-2022
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Yani Nurhadryani1
, Wulandari2*
, Muhammad Naufal Farras Mastika3, “Vehicle Detection Monitoring System using Internet of Things,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9231.