DASsim^TM

When should a driver drive “flat out” and when should they coast, in order to meet the timetable yet save fuel? Our DASsim^TM software helps drivers and management improve on-time running and save energy. The system is scalable and uses existing GPS feeds without the need for in-cab power, helping to significantly reduce costs compared to competing products (thus installation can be justified across an entire fleet). DASsim^TM helps save up to 15% energy and improves performance and on-time running by up to 12%.

TRACK RENEWALS OPTIONEERING TOOL (TROT^TM)

When renewing switches and crossings we can choose between different construction methods and plant and deliver the job in a single railway closure or multiple shorter closures. Which option delivers the best value and has the right balance of construction cost versus passenger and freight disruption? How do we get a reliable cost estimate early on? TROT^TM automates the development of construction options for installing new Switches and Crossings and outputs resources, construction cost and duration of engineering closures. This information helps the rail industry determine the best option to take forward.

RESTRICTIONS OF USE DECISION SUPPORT TOOL (RDST^TM)

Closing the railway for renewals or new programme construction is highly disruptive and expensive, with a large amount of work needing to be delivered in a finite amount of time. Part of the challenge is getting all players in the rail industry to agree to robust delivery plans. Our RDST^TM software automates the development of business cases for different access options, through a simple to use interface and outputs number of closures required and whole industry cost. This can be used as part of the IAP process to confirm and agree on the most optimised engineering access plans.

Systems Optimisation Process (SOPro^TM)

At Cogitare we marry systems engineering and economics to advise both public and private sector clients on how to cut costs, reduce energy consumption and enhance performance and revenues. We use a complete system approach, which means looking at the bigger picture and working out what will benefit the system as a whole. Our SOPro^TM model links cost, performance and revenue modelling to enable a financial evaluation of the entire system. We used our SOPro^TM model working with London Underground to optimise rolling stock procurement, identifying £500 million worth of savings in lifetime energy cost.

Decision Support Analytics: Arriva

As part of the Franchise Bid for Northern Rail, Arriva was required to demonstrate how they would improve passenger benefits during engineering closures. We worked with Arriva to develop a case study which would demonstrate the methodology Arriva would employ to improve customer benefits, using Schedule 4, PDFH and WebTAG analysis. Using Cogitare analysis, Arriva was able to demonstrate to the DfT that by reinstating certain rail services (compared to the incumbent operator) they were able to significantly reduce customer disruption and improve ticket revenue. Arriva was successful in winning the franchise bid.