Design of bus tracking and fuel monitoring system

Yosif, Safa Abd Elmonem; Abdelwahab, Murtada Mohamed; ALagab, Mohamed Abd Elrahman; Muhammad, Fares

doi:10.1109/iccccee.2017.7867679

Cited by 13 publications

(3 citation statements)

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“…Almost all the existing work in literature, where GPRS is used to send data to a remote server, use SIM9xx series or higher as GSM module, which are high-cost devices (Hafiz, n.d.;Lee et al, 2014;Yosif et al, 2017). Some also use Arduino Mega (Yosif et al, 2017). In this project, Arduino UNO is used along with a SIM800L module.…”

Section: Discussionmentioning

confidence: 99%

IoT-BASED VEHICLE TRACKING SYSTEM FOR KHULNA UNIVERSITY

et al. 2022

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Right now, there is no perceptible vehicle management framework for Khulna university that provides a vehicle monitoring system, real-time fuel consumption data analysis, vehicle route optimization by calculating passenger traffic, and so on. Albeit creating that framework is the holistic objective of the total project, the significant objective of this paper is to propose a cost-effective, reliable IoT-based vehicle monitoring system for Khulna University based on the developed prototype device. The open-source controller and GPS-GPRS-based module determine the real-time position of the vehicle, and the location of the test vehicle can be communicated via GPRS, which is provided by the GSM network. This real-time location data is stored in a web-based IoT platform. Authorized users of the system can access this information via the internet. The proposed solution will facilitate all stakeholders, including teachers, students, and other Khulna University staffs, to use this information to make smarter travel selections. This will also pave the way for future research like intelligent vehicle route optimization by storing real data from different vehicles of Khulna University on the online database.

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Section: Discussionmentioning

confidence: 99%

IoT-BASED VEHICLE TRACKING SYSTEM FOR KHULNA UNIVERSITY

et al. 2022

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“…The integration of these APIs enhances the application's capability to inform users about nearby bus stops effectively. Coordinate calculations play a crucial role [11] in finding the nearest bus stop. The system possesses a blueprint of the city's bus stops, containing coordinate information for each stop.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The obtained coordinates are then transmitted to a central dedicated server. The GPS tracker is programmed to perform this task, establishing the foundation for real-time tracking of the bus's movement The server plays a pivotal role in the system [11], serving as the repository for the entire information database. It utilizes an SQL database to store and manage relevant data.…”

Section: ➢ the System Is Composed Of Three Main Componentsmentioning

confidence: 99%

Bus Tracking and Arrival Prediction System

Karunathilake

2023

Preprint

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Customizable Vehicle Tracking with Intelligent Prediction System

Sundararaman¹,

Ravichandran²,

Jagadeesh³

et al. 2017

Digital Nations – Smart Cities, Innovation, and Sustainability

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In this work, an efficient vehicle tracking with intelligent prediction system is designed and implemented for tracking the movement of any vehicle from any location. The proposed system uses an inexpensive technology that combines a smartphone application with a microcontroller. The users will be able to continuously monitor a moving vehicle on demand using the smartphone application and determine the estimated distance and time for the vehicle to arrive at a chosen destination. Apart from this, the system is designed further to account for the case of failing to catch one's vehicle by dynamically suggesting a new vehicle within one's reach with an estimated time and a route. The data collected using the tracking system is effectively used to predict the estimated arrival time of the vehicles using sophisticated machine learning technique Artificial Neural Networks (ANN). While there are other systems on vehicle tracking, we present a vehicle tracking, dynamic route suggestion on failing to catch one's vehicle and intelligent arrival time prediction system together making it a comprehensive system for users. The feasibility and effectiveness of the system are presented through experimental results of the vehicle tracking system with the advantages and challenges.

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Design of bus tracking and fuel monitoring system

Cited by 13 publications

References 1 publication

IoT-BASED VEHICLE TRACKING SYSTEM FOR KHULNA UNIVERSITY

IoT-BASED VEHICLE TRACKING SYSTEM FOR KHULNA UNIVERSITY

Bus Tracking and Arrival Prediction System

Customizable Vehicle Tracking with Intelligent Prediction System

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