Development of an Automated Testing Framework for Passenger Routing and Fare Systems

The client faces complexities in validating the correctness of their passenger route and fare determination systems amid evolving user needs and regulatory demands. Manual testing approaches are insufficient for covering diverse travel scenarios, risking inaccuracies, compliance issues, and operational inefficiencies. They require a scalable and automated testing solution to simulate advanced travel scenarios across Germany, ensuring robust system performance and regulatory compliance.

A medium to large public transportation authority or mobility service provider seeking to enhance the accuracy and reliability of their route and fare calculation systems through automated testing tools.

• Develop an automated testing framework capable of creating and executing complex travel scenarios to validate route and fare calculations.
• Reduce testing time and manual effort by enabling automated simulation of diverse travel conditions, including peak times, special fares, and route variations.
• Improve accuracy and reliability of the transportation system, aiming for comprehensive scenario coverage.
• Generate detailed analytical reports to facilitate quick identification and resolution of system issues.
• Achieve scalability to accommodate system growth and evolving transportation schemes.
• Ensure compliance with relevant transportation regulations and standards through rigorous testing.
• Support continuous integration and deployment processes for ongoing system updates and improvements.
• Deliver both console and web-based interfaces to cater to different developer preferences.

• Scenario Builder: Allows creation of complex travel scenarios with customizable parameters such as routes, fares, travel times, and passenger profiles.
• Simulation Engine: Executes automated tests to emulate passenger journeys under various conditions, including peak hours, special fare zones, and route changes.
• Reporting Module: Provides detailed, actionable reports on test outcomes, including discrepancies and potential issues in route calculation and fare assignment.
• User Interface: Offers both web and console-based applications for flexible access and operation.
• Data Management: Integrates with external databases and systems to fetch real-time or static data required for scenario creation and validation.
• Data Analysis & Insights: Incorporates basic analytics for system performance and pattern recognition, assisting continuous improvement.

• External transportation data systems for route, schedule, and fare information.
• Regulatory compliance databases for validating adherence to legal standards.
• Existing passenger information systems or booking data to simulate real-world scenarios.

• High scalability to handle increasing numbers of scenarios and data volume.
• Performance optimized to execute comprehensive test suites within a maximal duration of 4 weeks for full regression cycles.
• Security measures to protect sensitive travel data and system integrity.
• Availability and fault tolerance to ensure consistent operation during testing phases.
• Ease of integration with continuous deployment pipelines.

The implementation of the automated testing framework is expected to significantly enhance system reliability by reducing manual testing efforts and accelerating validation cycles. It will enable comprehensive scenario coverage, leading to improved route accuracy and fare calculation dependability. Expected measurable impacts include a reduction in testing duration to four weeks for full scenario coverage, increased system accuracy, and the capacity to simulate complex travel conditions efficiently, supporting regulatory compliance and user satisfaction.