These solutions are helping to make transportation infrastructure safer and are helping railroads and companies deliver resources and consumer products more efficiently and at a lower cost. Railinc is the largest single source of real-time accurate interline rail data for the North American railroad system.
In 2018, Railinc completed production deployment of a new user interface that allows Class I, short line and regional railroads to manually exchange Positive Train Control (PTC) system event log files with each other. This capability to share data allows Railinc to help railroads achieve interoperability regarding PTC. Railinc’s Tank Car Integrated Database (TCID), also released this year, created a new method for helping tank car owners track data about tank cars for government body reports and to improve tracking of valuable tank car component and inspection information.
What’s Next?
The work planned for 2019 will improve non-Class I railroads’ ability to receive, handle, and interpret PTC-related messages from Class I railroads’ networks, as well as provide enhancements to the user interface to increase operability. Railinc will also begin development on a configuration management tool that will allow the industry to centrally track and manage PTC component configuration changes and tests to support interoperability. As for Tank Car, we plan to make improvements to the base system to integrate with other Railinc systems, such as Umler and Component Registry.
Building on last year’s accomplishment of migrating all data platform capabilities into a modern technology stack, Railinc launched the Advanced Analytics project to better enable the company to serve the industry across all domains and business analytics needs. This advancement would not have been possible without the collaboration of several departments across Railinc, including the Commercial Development, Infrastructure and Data Solutions teams.
Accomplishments for 2018 include implementing new technologies on top of the existing data platform infrastructure to enable real-time analytics and machine learning techniques; re-training a subset of employees to acquire data science and big data engineering technical expertise; leveraging historical movement event information to make real-time inferences about the new received events; and utilizing sensor readings as part of a new asset health study. These successes help maintain Railinc’s position at the forefront of the industry in analytics research and allow the company to gather better results from algorithms already in place.
What’s Next?
Advanced analytics will take on six more business use cases in 2019, while also focusing on maturing the infrastructure and growing the technology stack.
Railinc’s Clear Path™ technology provides visibility to rail activity across the Chicago Terminal, supporting train planning activities and enabling stakeholders to work together more efficiently through proactive, coordinated decision-making to keep rail traffic moving. It includes a multi-layered geographic map of the entire terminal, featuring train locations, tracks, yards, corridors, control points and other critical reference information about the Chicago Terminal.
In 2018, Railinc worked with Chicago stakeholders to deliver enhancements to the Clear Path™ system to increase velocity, reduce cost and maximize asset utilization.
What’s Next?
In 2019, Railinc will complete the integration process for railroads that were unable to complete this work in 2018. Clear Path™ will continue to be enhanced throughout the year, including improvements to the dispatch view and integration between Clear Path™ modules. Significant effort will be focused on improving the quality of railroad data feeds, and a solution for linking together train movements across multiple railroads will be developed. All these efforts are focused on improving the quality of information available for operational, analytical and forecasting purposes to help the terminal absorb traffic growth while increasing train velocity and maximizing asset utilization.
These solutions are helping to make transportation infrastructure safer and are helping railroads and companies deliver resources and consumer products more efficiently and at a lower cost. Railinc is the largest single source of real-time accurate interline rail data for the North American railroad system.
This project supported reductions in mechanical service interruptions by expanding the bad-actor identification value and refining the bad-actor scorecard to include repair and automated single-car test data. It also validated Umler® using information from detectors.
This project enhanced efficiency of data sharing through standardization through a continued move to condition-based inspections. It built on efforts to standardize characteristics, data quality, rules and data related to detector technology, supporting sharing of detector data in the Asset Health platform.
This project supported reductions in mechanical service interruptions by extending and enhancing the methodology and data analysis for identifying causes for component failures and repeated component inspections, replacements or repairs.
This project is part of an increased efficiency effort to convert the current paper-based billing process to one modeled on the electronic Car Repair Billing system. The project validated data exchange outputs and leveraged the Railroad Clearinghouse for invoice settlement.
This project reduced the manual effort required to settle charges for EOT device usage and enabled improvements in productivity and accuracy through the automation of the business rules associated with the use and payment for end-of-train devices.
This project supported increased velocity and utilization of the fleet and enhanced visibility into information such as detector data, location information and inspections by expanding the equipment health information in the Asset Health platform to support basic locomotive data requirements.
This project enhanced EOT management capabilities to improve interoperability and functionality, as well as yard and shop efficiencies – bringing the process and specifications in line with the increases in equipment velocity and utilization.
These enhancements to the Early Warning system support easier access to equipment health data and support more informed operating decisions. Additionally, this project included needs assessment for the modernization of industry alerts.
This project leveraged new PTC-aligned data feeds in the Clear Path™ system to identify train position, train routing and dispatch authority at track level. It also extended visibility into train movement and stopped train identification to one crew change point outside Chicago.
The second phase of a three-phase roadmap supported collaborative efforts to improve safety and increase network efficiency through development of industry processes and systems that will enable GIS data sharing capabilities among railroads.
This project delivered business process improvements and ensured the Forward and Store system is compliant with current EDI standards and regulatory requirements by updating the EDI 417 and EDI 421 message types.
This project provided detector owners enhanced visibility by introducing new data validation capabilities that enabled the Inspection Quality (IQ) platform to continually monitor detector data and inform detector owners of potential issues such as sensor failures and false reads.
This project supported more effective recalls and enhanced asset management by creating the capability to register tank car valve components and associate them to individual pieces of equipment.
This project increases industry efficiency by supporting Class I railroads with updated Asset Health industry data to address repairs across repair locations. Additional efforts will also improve bad actor identification, and advance the collection and analysis of single car air brake test data to further understanding of specific brake system issues over time.
This project will supplement a move to a more modernized inspection regimen that increases equipment velocity and service levels for shippers through support for the collection and mileage tracking of Class I inspections on freight equipment.
This project completes originally envisioned work to fully standardize and share wayside detector data, data summaries, and equipment alerts. The platform will continue to support future wayside detector requirements.
This project enables the IQ platform to continually monitor detector data and inform detector owners of potential issues such as sensor failures and false reads, by expanding the information feedback to detector owners through new data validation capabilities.
This project will design for industry technology-driven train inspection standards to be applied to existing and planned vision systems. It will develop standards to define applicable automation levels and processes to manage network coverage.
This project supports reductions in derailments and mechanical service interruptions by acquiring new component defect data, and enhancing methodologies and data analysis for identifying causes for component failures.
This project will increase efficiency by converting the current paper-based billing process to one modeled on the electronic Car Repair Billing system. Phase 3 work will implement additional edits and enhancements, provide an exception-handling workflow, and provide a method to manage proprietary material and labor rates.
This project will initiate enhancements to the Early Warning System to support easier access to equipment health data and support more informed operating decisions. The priorities identified in the 2018 assessment include modernizing alerts in the Railinc system and planning for the integration of those changes in customer systems through 2020.
This project extends EOT device owner visibility by enabling sharing of EOT device location for foreign devices on a handling railroad. Additional efforts will progress next-generation standards development for communications, hardware, inspection and repair, and asset management.
The 2019 Clear Path™ Value Expansion continues to increase velocity and efficiency in the corridor through complete integration of railroad dispatch data in the new message format, delivering enhancements to several components of the Clear Path™ System, and advancing improvements in lineup data quality.
The third phase of Railinc’s location management work supports collaborative efforts to improve safety and increase network efficiency through industry-wide GIS data sharing capabilities, including the rollout of the GIS change management solution, providing version updates to Clear Path™, and other industry applications.
Phase 2 of this effort to automate the settlement of EOT liability will provide an interface for handling any exceptions remaining after the completion of Phase 1. Completion of all three phases will result in a fully automated and centralized settlement process.
This accelerated RPSWC project will support a more efficient diagnostic process by providing a technology platform for railroads to request and receive the necessary data from other railroads to assist in PTC interoperability. This project will improve railroad operations, reduce support costs, and reduce train delay. A peer-to-peer data flow solution was designed in 2018 and will be developed in 2019 for all railroads that choose to integrate.
The 2019 ILM project centralizes the PTC system release and documentation process to create efficiency and cost savings. The master workflow platform being developed enables the industry to trace PTC standards requirements, and manage interoperable configuration items (CI) release dependencies and standards to eliminate non-functional system conditions – eliminating the need for every railroad to analyze every configurable item and requirement change in every release of the system.
This project will shorten Unique Railroad Revenue Waybill Identification Numbers (URRWIN) settlement to 20 days (currently 30 days), creating a higher likelihood of settling before the month is out and supporting the receiving of funds more quickly.
Continuing investments in machine learning and advanced analytics will be applied to improving ETAs. Additionally, we made upgrades across our RailSight applications to improve the user experience. These include integrating new data sources to provide more granular visibility of shipments and equipment, and enhancements to RailSight Monitor to provide visualization and mapping capabilities so customers can be proactively notified of shipment exceptions. Railinc’s commercial team worked with key customers to develop customized, detailed analyses of company operations and marketplaces in 2018, in response to a growing, industry-wide demand for predictive and prescriptive data.
2018 saw the continuation of Railinc’s partnership with the Vancouver Fraser Port Authority for the Port of Vancouver Supply Chain Visibility Pilot Project. For Phase 1, we provided critical rail data as the VFPA developed a new dashboard for authorized stakeholders to monitor port traffic trends, traffic patterns, traffic capacity and performance. The goal of the project remains to enhance visibility and collaboration across all modes of transport and improve the fluidity of traffic moving into and out of the port. In 2019, the project will continue to expand, and the VFPA hopes to move the system into production by the end of the year.
In 2018, RailSight solutions’ customer base expanded at record levels; our customers now include all the top five global 3PLs, as well as 80 percent of the top 10 U.S. 3PLs and all top 10 U.S. private railcar owners. Customer retention has surpassed 99.5 percent – a testament to the return on investment. As demand from commercial stakeholders for information on their respective supply chains continues to spike, RailSight continues to grow its status as the go-to source for supplying data to customers, enabling them to make better decisions, which leads to better performance across the board.
Railinc’s significant role in helping to keep the North American freight rail fleet moving means that Railinc employees come in every day to work with a purpose. Watch the video below to hear what that means to them and why they love working at Railinc.