Last week, Digital Rail Limited hosted a demonstration afternoon at Lancaster University to launch their Intelligent Vision System for the Platform Train Interface. The Intelligent Vision System is designed to both improve passenger safety and increase efficiency of trains. The passenger safety system quickly alerts train staff to dangerous scenarios at doors, mitigating potential injuries.  The passenger experience system “nudges” passengers awaiting trains towards the less busy carriages.

The purpose of the day was to introduce and demonstrate the Intelligent Vision System and explore the opportunities this presents within the rail industry. There were representatives from TOCS, ROSCOs, Network Rail, TfL, Metrolink and RSSB.  Following the live demonstration, there was a wide ranging and stimulating discussion regarding the opportunities and challenges in the route to implementation. This concluded with a SWOT analysis. The analysis highlighted the potential for humans to become reliant on such safety systems. This emphasised the importance of ensuring that the Intelligence Vision System supports human decision making, but doesn’t replace it.

Read more about the Intelligent Vision System, or get in touch if you would like a personalised demonstration.

I’m excited to announce that I will be running a special session next week, on Thursday 6th September in Barcelona- SS20 – Using Big Data to Increase Railway Resilience. This is part of the Fourth International Conference on Railway Technology, Railways 2018.

http://www.railwaysconference.com/resources/updateable/pdf/Oral%20Programme_6Aug.pdf

Our own contribution will be “Predicting wheels slides; traditional and future methods”.

See you in Barcelona folks!

#digitalrail #RAIL2018

Digital Rail Ltd are delighted to announce the  appointments of:

Dr Rhian Davies

We are pleased to say that Dr Rhian Davies has joined Digital Rail Ltd, as a Data Scientist . Rhian has worked as a data scientist for the last 3 years having graduated with a PhD in Statistics from Lancaster University from where she also obtained a first class degree Maths and Statistics.

Dr Rhian Davies

Damian Borowiec

Damian is a computer scientist graduate from Lancaster University. Damian won the Chancellors medal for exceptional performance as an undergraduate, a highly prestigious award.

Damian Borowiec

They will both we working on a data analytics project which is seeking to optimise train maintenance by scheduling the maintenance each night based upon the health of the train. We are happy about these appointments as the railway has to attract new young talent and soon!

Using Natural Language Processing to Empower Data Democratization

Digital Rail are responsible for producing Safety Cases for the Manchester Metrolink Tram Management System (TMS).  With almost 30 sites to cover, we opted to use Microsoft Office tools to streamline the production of the site Safety Cases – each of which has an identical document structure based on EN50129,

The tool was developed in Excel + Word + VBA. We created a template in Word which uses tokens that are replaced by values from an Excel spreadsheet. The tool also integrated with the client Document Management System and DOORS.

The tool also provides management facilities  to track progress for document production for each site. We estimate that this approach has saved 20% on project costs and we are currently investigating further uses of this approach on a wide range of projects.

Digital Rail have recently completed a project working with a group of Business and Marketing students from Lancaster University’s Management School.

Working closely with the students over a 6 month period, their project specification was to draw up a plan on how to bring one of Digital Rail’s products to market. The product was a workflow engine tool for analysis, certification and test that we are developing in collaboration with the Austrian Institute of Technology called WeFact.

The students carried out detailed research which included interviewin industry-experts and sending out surveys. At the end of the project the students delivered a Presentation and produced an in-depth Report detailing how Digital Rail can market the product, as well outlining challenges to market, potential product development, and a suggested product business plan.

“Working with Digital Rail on the development of its joint project with the AIT has been an incredibly valuable and enjoyable experience. Howard is an enthusiastic, charismatic, and approachable professional who greatly values the inputs of others around him and gave us real responsibility and opportunities from the very start. We would like to sincerely thank Howard for this incredible opportunity and wish him the very best of success with the project in the future.”

We thoroughly enjoyed working with the students. The project helped us gain an insight into how to bring a niche product such as WeFact to market, and gave the students first-hand experience of developing their skills and expertise working with a real business on a challenging brief.

“It has been a pleasure to work with Howard and Digital Rail. This experience has been an eye opener into a fast growing, important industry that has provided a great opportunity to develop and enhance our skills. We hope that the WEFACT tool finds success in the future and wish the team well.”

Get paid to do a Masters with the Centre for Global Eco-Innovation at Lancaster University (The Sunday Times’ University of the Year 2018) and Digital Rail Ltd.

The Project

Transport is one of the fastest growing contributors to climate change. Rail travel produces lower carbon emissions than travelling by car and offers an efficient alternative for those looking to reduce their carbon footprint. This project will work to understand and increase the efficiencies of railway networks to improve this even further.

This project will utilise Artificial Intelligence (AI), data analysis and modelling techniques to identify and predict problem areas of the UK rail network. These are areas which do not have the resilience and capacity to withstand common problems which lead to train service delays. The associated economic and environmental cost of this is huge, with the need for additional rail services, replacement buses and network maintenance. This project will identify indicators of concern and build a prediction model. This will allow Digital Rail Ltd to work with rail networks to increase efficiencies and direct resources to the most appropriate areas.

This project would suit a graduate with a background in engineering or computer science who is capable of coding and developing advanced APIs.

Enterprise and collaborative partners

This Masters by Research is a collaborative research project between Lancaster University, with supervision by Dr Paul Rayson, and Digital Rail Ltd.

Digital Rail is a business that develops products for railway safety and resilience using advanced technologies in machine learning. It owns intellectual property and patents on several products such as Machine Vision and Big Data analytics. Digital Rail Ltd also provides services and training to railway clients including Independent Safety Assessment (ISA).

1 Year Enterprise-led Funded Masters by Research, Ref. No. 90

• Get paid £15,000 tax-free
• Have you tuition fees reduced. Your partner company pays £2,000 towards your fees, meaning UK/EU students pay £2,260, and International students pay £15,945.
• Be part of the multi award winning Centre for Global Eco-Innovation with a cohort of 50 talented graduates working on exciting business-led R&D.
• The Centre is based at Lancaster University, so you will gain your Masters from a Top Ten University, recognised as The Sunday Times University of the Year 2018.
• Finish in a strong position to enter a competitive job market in the UK and overseas.

Apply Here

To apply for this opportunity please email graduate-applications@cgeinnovation.org with:

• A CV (2 pages maximum)
• Application Form
• Application Criteria Document
• Reference Form

This project is part funded by the European Regional development Fund and is subject to confirmation of funding. For further information about the Centre for Global Eco-Innovation, please see their website.

Application deadline

Midnight Tuesday 19th June 2018

Start: October 2018

Digital Rail partnered with CRITICAL Software to conduct the independence safety assessment of the vehicles, track system and interfaces of the Shanghai Metro Line 8 Phase III Automated People Mover.

These vehicles will provide safe transportation in airports and dense urban areas all around the world. They are fully automated, able to cope with the bands of transporting millions of passengers each year.

Our assessment covered project plans, specifications, design tests and supplied products, as well as installation, commissioning and operations of the vehicles, the infrastructure and interfaces communication with other systems. Our work helped to achieve high safety levels in line with international standards.

Digital Rail have 3 main groups for research, development and deployment: Data Fusion Group, Autonomous Vision Group and Intelligent Systems Engineering Group.

These research groups are generating world class research and platforms for data analytics. We have various licenses and patent applications which we are always looking to discuss and expand.

Data Fusion Group (DFG)

Big Data Analytics on railway data for safety and performance optimisation. This will use mostly open source analytic tools.

The idea is to develop a platform for data fusion which is user-friendly, web-based, fully supported with annual licenses available. Applications will initially include rail vehicle diesels engine monitoring, driver behaviour monitoring and accident data.

Clients currently include Siemens and TfGM.

Team: Dr Peter Garraghan Lancaster University, Dr Howard Parkinson DRL, Dr Rhian Davies DRL, Damian Borowiec DRL, Dr Gary Bamford Advisory, James Bamford Advisory. Eddy Crompton DRL.

Autonomous Vision Group (AVG)

This group will primarily research, develop and market the Platform Train Interface (PTI) autonomous vision system. The AVG business plan will explain how this will happen. This will require further significant investment and patent costs. We have prototype at TRL 3 and a patent application that is successfully registered.

Team: Prof Angelov Lancaster University, Dr Howard Parkinson DRL, Dr Rhian Davies DRL, Dr Chris Johnson MMU, Marie Nolan & Nick King Lancaster University, Dr Gary Bamford Advisory.

Intelligent Systems Engineering Group (ISEG)

The task is to develop a platform for systems engineering including requirements process and models. This will be based around the WEFACT workflow management from the Austrian Institute of Technology (AIT). This is being undertaken in collaboration with the AIT.

The platform will also include optional plug-in Natural Language Processing (NLP) applications that bring intelligence and machine learning into systems engineering. The platform will be suitable for railway, nuclear, automotive and aerospace applications. The ISEG business plan explains how this will happen.

Team: Dr Paul Rayson Lancaster University, Clive Osman DRL, Eddy Crompton DRL, Dr Howard Parkinson DRL, Willibald Kern AIT, Dr Christoph Schnitter AIT, Dr Gary Bamford Advisory, New MSc by RES Person DRL.