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BS EN 12896-8:2019 Public transport. Reference data model Management information & statistics

BS EN 12896-8:2019

Public transport. Reference data model Management information & statistics

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Standard number:BS EN 12896-8:2019
Pages:88
Released:2020-05-01
ISBN:978 0 539 02050 2
Status:Standard
BS EN 12896-8:2019 Public Transport Reference Data Model

BS EN 12896-8:2019 Public Transport Reference Data Model

Discover the comprehensive guide to managing public transport data with the BS EN 12896-8:2019 standard. This essential document is designed to provide a robust framework for the management of information and statistics in the public transport sector, ensuring that data is handled efficiently and effectively.

Overview

The BS EN 12896-8:2019 is a crucial part of the public transport reference data model series. Released on May 1, 2020, this standard is a must-have for professionals in the public transport industry who are responsible for data management and statistical analysis. With a total of 88 pages, it offers a detailed exploration of the methodologies and practices necessary for the effective management of transport data.

Key Features

  • Standard Number: BS EN 12896-8:2019
  • Pages: 88
  • Release Date: 2020-05-01
  • ISBN: 978 0 539 02050 2
  • Status: Standard

Why Choose BS EN 12896-8:2019?

In the rapidly evolving world of public transport, the ability to manage and interpret data is more important than ever. The BS EN 12896-8:2019 standard provides a structured approach to data management, helping organizations to:

  • Enhance Data Accuracy: Ensure that all data collected is accurate and reliable, reducing errors and improving decision-making processes.
  • Improve Efficiency: Streamline data management processes, saving time and resources while maximizing productivity.
  • Facilitate Better Planning: Use statistical data to inform planning and operational decisions, leading to improved service delivery and customer satisfaction.
  • Ensure Compliance: Meet industry standards and regulations, avoiding potential legal issues and maintaining a high standard of service.

Who Can Benefit?

This standard is ideal for a wide range of professionals and organizations within the public transport sector, including:

  • Transport Operators: Enhance operational efficiency and service quality through better data management.
  • Data Analysts: Gain insights into transport data, enabling more informed analysis and reporting.
  • Policy Makers: Use reliable data to shape policies and strategies that improve public transport systems.
  • Consultants: Provide expert advice to clients based on a thorough understanding of transport data management.

Comprehensive Content

The BS EN 12896-8:2019 standard covers a wide range of topics related to public transport data management, including:

  • Data Collection: Best practices for collecting accurate and relevant data.
  • Data Storage: Guidelines for storing data securely and efficiently.
  • Data Analysis: Techniques for analyzing data to extract meaningful insights.
  • Data Reporting: Methods for presenting data in a clear and actionable format.

Invest in Your Future

By adopting the BS EN 12896-8:2019 standard, you are investing in the future of your organization. This standard not only helps you manage data more effectively but also positions your organization as a leader in the public transport sector. With the right data management practices in place, you can drive innovation, improve service delivery, and enhance customer satisfaction.

Conclusion

The BS EN 12896-8:2019 standard is an invaluable resource for anyone involved in the management of public transport data. Its comprehensive guidelines and best practices ensure that you can handle data with confidence, leading to better outcomes for your organization and the communities you serve. Don't miss out on the opportunity to elevate your data management capabilities with this essential standard.

DESCRIPTION

BS EN 12896-8:2019


This standard BS EN 12896-8:2019 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: 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”.