The DST automatically suggests train plans that will get services back to the timetable, reducing delays, resulting in more satisfied customers.
By using Machine Learning and AI techniques which calculate the length of disruption, the DST can help you make better informed decisions.
Using multiple real-time data feeds to provide a real-time dashboard of the working timetable and live trains.
During minor disruptions when trains are delayed, or miss their dwell time or sectional running times
The DST is a new Software as a Service system that helps make decisions easier for control teams and deliver better service for passengers. It uses a machine learning model to integrate historical data feeds into an easy-to-use modern interface for control teams.
This AI tool assists service delivery teams to predict more accurately, the effects of disruption on the working timetable and rosters, deliver a more punctual railway and improve customer satisfaction.
It combines multiple real-time data feeds (including TRUST & TD, real-time reports from Network Rail and TOC staff, together with unit and driver diagrams, GPS positioning, and loading information, when available), to provide a real-time dashboard of the working timetable and live trains.
During minor disruptions, the DST generates alerts when trains are delayed, or miss their dwell time or sectional running times.
Trialling – how to onboard
Is the DST available for a Beta Trial?
How do you onboard the system?