BS EN 12896-4:2019: Elevate Your Public Transport Operations

In the ever-evolving world of public transportation, staying ahead of the curve is crucial. The BS EN 12896-4:2019 standard, titled "Public Transport. Reference Data Model Operations Monitoring and Control," is your comprehensive guide to optimizing operations and ensuring seamless control in public transport systems.

Overview of BS EN 12896-4:2019

This standard is a part of a series that provides a reference data model for public transport. It focuses specifically on operations monitoring and control, offering a structured framework to enhance the efficiency and reliability of public transport services. Released on April 30, 2020, this document is a must-have for transport authorities, operators, and anyone involved in the management of public transport systems.

Key Features and Benefits

• Comprehensive Coverage: With 178 pages of detailed information, this standard covers all aspects of operations monitoring and control, ensuring you have the knowledge needed to implement effective strategies.
• Up-to-Date Information: As a standard released in 2020, it incorporates the latest advancements and best practices in public transport operations.
• International Recognition: Being a part of the EN standards, it is recognized and respected across Europe and beyond, making it a valuable asset for international operations.
• Structured Framework: Provides a clear and structured framework that can be adapted to various public transport systems, ensuring flexibility and scalability.

Why Choose BS EN 12896-4:2019?

Public transport systems are the backbone of urban mobility, and efficient operations are key to their success. The BS EN 12896-4:2019 standard offers a robust framework for monitoring and controlling operations, helping you to:

• Enhance Service Reliability: By implementing the guidelines, you can reduce delays and improve the overall reliability of your services.
• Optimize Resource Utilization: Efficient monitoring and control allow for better allocation of resources, reducing waste and improving cost-effectiveness.
• Improve Passenger Satisfaction: A well-managed transport system leads to higher passenger satisfaction, encouraging more people to use public transport.
• Facilitate Data-Driven Decisions: The reference data model supports data collection and analysis, enabling informed decision-making.

Technical Details

For those who require precise technical information, here are the key details of the standard:

• Standard Number: BS EN 12896-4:2019
• ISBN: 978 0 539 02046 5
• Status: Standard

Who Should Use This Standard?

This standard is essential for a wide range of professionals in the public transport sector, including:

• Transport Authorities: To ensure compliance with international standards and improve service delivery.
• Public Transport Operators: To enhance operational efficiency and passenger satisfaction.
• Urban Planners: To integrate efficient transport solutions into urban development plans.
• Consultants and Engineers: To provide expert advice and implement best practices in transport operations.

Conclusion

The BS EN 12896-4:2019 standard is an invaluable resource for anyone involved in the management and operation of public transport systems. By adopting this standard, you can ensure that your operations are efficient, reliable, and aligned with international best practices. Whether you are looking to improve service delivery, optimize resource use, or enhance passenger satisfaction, this standard provides the tools and guidance you need to succeed.

Invest in the future of public transport with the BS EN 12896-4:2019 standard and take the first step towards a more efficient and reliable transport system.

BS EN 12896-4:2019

This standard BS EN 12896-4:2019 Public transport. Reference data model is classified in these ICS categories:

• 35.240.60 IT applications in transport

1.1 General Scope of the Standard

The main objective of the present standard is to present the Reference Data Model for Public Transport, based on:

• the Reference Data Model, EN 12896, known as Transmodel V5.1;

• EN 28701:2012, Intelligent transport systems – Public transport – Identification of Fixed Objects in Public Transport (IFOPT), although note that this particular standard has been withdrawn as it is now included within Parts 1 and 2 of this standard (EN 12896-1:2016 and EN 12896-2:2016) following their successful publication;

incorporating the requirements of:

• EN 15531-1 to -3 and CEN/TS 15531-4 and -5: Public transport – Service interface for real-time information relating to public transport operations (SIRI);

• CEN/TS 16614-1 and -2: Public transport – Network and Timetable Exchange (NeTEx), in particular the specific needs for long distance train operation.

Particular attention is drawn to the data model structure and methodology:

• the data model is described in a modular form in order to facilitate the understanding and the use of the model;

• the data model is entirely described in UML.

The following functional domains are considered:

• Network Description: routes, lines, journey patterns, timing patterns, service patterns, scheduled stop points and stop places;

• Timing Information and Vehicle Scheduling (runtimes, vehicle journeys, day type-related vehicle schedules);

• Passenger Information (planned and real-time);

• Fare Management (fare structure, sales, validation, control);

• Operations Monitoring and Control: operating day-related data, vehicle follow-up, control actions;

• Driver Management:

  • Driver Scheduling (day-type related driver schedules),

  • Rostering (ordering of driver duties into sequences according to some chosen methods),

  • Driving Personnel Disposition (assignment of logical drivers to physical drivers and recording of driver performance);

• Management Information and Statistics (including data dedicated to service performance indicators).

The data modules dedicated to cover most functions of the above domains will be specified. Several concepts are shared by the different functional domains. This data domain is called “Common Concepts”.