Traxim
The core purpose of Traxim is to efficiently generate a population of semi-randomised timetables so that analysis of network performance can be done with statistical rigour.
Track utilisation rates for real world timetables generated consistent with UIC 406.
Congestion data by location exported to Google Earth for intuitive, visual display.
Transit time for every train, and averages for groups of trains, at your fingertips. Raw dynamically simulated transit time, planned dwell and conflict induced dwell each separately reported.
All the data you need to be able to compare infrastructure and non-infrastructure solutions to congestion and transit time challenges.
Dynamically simulated train paths across an extensive and complex rail network infrastructure defined at the level of track geometry, signals, turnouts and speedboards.
A fully deconflicted train timetable applying absolute and relative train priority, train linking, and routing / stopping rules.
A train graph (or stringline) in pdf form, including full blocking information, is generated for each perturbation of the timetable. It's useful to review a train graph before committing to a full simulation run, to ensure that the inputs are generating the scenario you expected.
A kml file showing delay by location is generated for the average of all resolved timetables in a scenario. Open the kml file in Google Earth to get an immediate visual analysis of where the greatest congestion on the network is. Multiple kml's can be opened to allow a visual comparison of competing solutions to network challenges.
A wide array of data for the population of timetables generated for each scenario is outputted to csv files. This includes section utilisation, transit time, delay and distance. Data is reported by train group and region. All of the data is easily manipulated in Excel, allowing extensive analysis and graphing of results.
Traxim is a passion project 14 years in the making. We created Traxim to solve a nagging problem in analysis of rail networks - how can you be confident that your rail network development solutions will really work on a complex network with non-homogenous trains. Driven by a need to get statistical robustness into our analysis while minimising the time and effort involved, we built Traxim to generate a population of realistic semi-randomised timetables using the minimum viable input scope.
Traxim will shortly be available as a web app. Register to be notified when it becomes available, or request a free pre-release demonstration.