Chapter One — 1.1 Background to the Study

The rapid evolution of Serverless Computing has transformed the way organizations design, deploy, and manage traffic management systems. As institutions seek to modernize legacy processes, Serverless Computing offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.

In practice, however, adoption of serverless computing within traffic management systems has been uneven, and its actual impact on decision support is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Current traffic management systems in many organizations struggle with inadequate decision support, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating serverless computing, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a serverless computing-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a serverless computing-based approach to improving decision support in traffic management systems.
2. To evaluate the effectiveness of Serverless Computing in enhancing decision support within traffic management systems.
3. To identify the key requirements and constraints relevant to deploying serverless computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can serverless computing be applied to improve decision support in traffic management systems?
2. How effective is Serverless Computing at enhancing decision support within traffic management systems?
3. What requirements and constraints are relevant to deploying serverless computing in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Serverless Computing within traffic management systems. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on serverless computing applications in software technology / IT.

1.6 Scope of the Study

As a study of this kind, its scope is confined to designing and evaluating a serverless computing-based solution for traffic management systems, focused specifically on decision support; broader deployment considerations fall outside this scope.