As a service planner for a Rail Infrastructure provider every year (or more often) you need to review the requests coming in for the new timetable year from various train operators and find a solution with train paths for as many if not all of these requests, as close to the timings requested, while ensuring connections are met, and KPIs such as speed of the trains are optimized. With hundreds or even thousands of trains running on the network on a daily basis that can be a daunting task.

An optimizer that can resolve all the conflicts between the requested paths while taking all constraints into account and optimize the KPIs can be of great help to really focus on the key bottle necks where the decisions need to be made which trains can run and at what time, even evaluating different scenarios, instead of spending most of the time just to get to a solution at all. 

DQ Service Planner 2026 Golden has an improved tactical planning optimizer that can assist in creating this great plan of deconflicted services, taking all constraints and KPIs into account. Using this optimizer can help improving robustness of the tactical timetable, while still maximizing speed of the trains, avoiding trains staying longer in the network than needed. 

Below screenshots give an example of the results the optimizer can bring, starting from a heavily deconflicted plan, ending in a conflict free plan with optimized KPIs. Try it out, and let us know what you think of it!