A network of interconnected devices that collect and exchange data, crucial for smart traffic systems.

A technology-driven system that optimizes traffic flow using real-time data from IoT devices.

The process of examining data sets to draw conclusions, essential for understanding traffic patterns.

A field that focuses on the design and management of urban infrastructure, including traffic systems.

An early model of a product used to test concepts and functionalities before full-scale development.

Information that is collected and processed instantly, allowing for immediate traffic management decisions.

Devices that detect and measure physical properties (like traffic volume) and send that data to IoT systems.

The space where user interaction with a system occurs, critical for usability in traffic management apps.

The graphical representation of information, helping users understand complex data easily.

The process of combining different subsystems into one cohesive system to function as a whole.

Trends and behaviors in vehicle movement, analyzed to improve traffic management strategies.

Working together with stakeholders to enhance project outcomes in urban traffic management.

Individuals or groups with an interest in the project, including government agencies and urban planners.

A method to evaluate how easy and user-friendly a system is, vital for interface design.

A strategy for communicating and collaborating with stakeholders throughout the project.

Choosing appropriate physical components for the IoT devices used in the traffic management system.

Applications and platforms used for developing and managing IoT systems and data analytics.

A cyclical approach to design that incorporates feedback and testing to improve the product.

A subset of AI that enables systems to learn from data, potentially enhancing traffic predictions.

Methods used to gather data from various sources, critical for informed traffic management.

A compilation of work and projects that showcases skills and experiences, important for career advancement.

Methods for assessing one's learning journey to improve future performance and understanding.

Creating a blueprint of the user interface to outline structure and functionality before design.

The ability of IoT devices to communicate with each other and the central system for data exchange.

Changes made to traffic signals or routes based on real-time data analysis to improve flow.