" The objective of the Real-Time Crowdsourced Mapping and Intelligent Navigation System is to develop a dynamic platform that allows users to contribute real-time traffic data, enhancing map accuracy. It aims to create an efficient system for traffic incident reporting and route planning, improving user navigation experiences. The system seeks to implement a robust admin interface for validating and approving user contributions, ensuring data quality. Another goal is to provide real-time traffic updates and notifications to users, facilitating informed decision-making. Additionally, it focuses on scalability to handle large volumes of traffic data while maintaining system efficiency. The project aims to integrate various technologies, including geospatial data management and real-time analytics, for intelligent navigation. Finally, it intends to foster user engagement through a crowdsourcing model that continuously improves the map and traffic data."
The Real-Time Crowdsourced Mapping and Intelligent Navigation System uses user-generated content and administrative systems to create a crowd-based platform which enables users to navigate through traffic and find their way to different locations. Users gain access to a registration process and a login system which enables them to search for locations and report incidents while providing data to enhance map precision. The system allows administrators to handle user contributions while they validate content and give permission to use roads and Points of Interest (POIs) which they will use to update system map information. The system provides users with real-time updates which generate notifications to inform both users and admins about ongoing incidents and system modifications. Users can request routes and see real-time traffic data and receive navigation directions which rely on current information. The analytics system gives admins system performance metrics while they control user access and share important system announcements. The system aims to enhance user experience with accurate, up-to-date traffic and route information. The system improves through collaborative efforts which allow it to adapt in real time to changes in traffic patterns.
Keywords: Crowdsourcing, Real-Time Traffic, Route Navigation, Live Updates, Data Validation, Map Management, Geospatial Data, User-Admin Roles, Admin Panel.
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HARDWARE REQUIREMENTS:
Β· Processor: Intel i3 or higher
Β· RAM: 4GB minimum
Β· Hard Disk: 160GB minimum
SOFTWARE SYSTEM CONFIGURATION:
Β· Operating System: Windows 7/8/10
Β· Frontend: HTML, CSS, React Js
Β· Backend: Spring Boot with java
Β· Database: MySQL
Β· IDE: IntelliJ IDEA & VS Code