Kapacitetsanalys för Södertunneln år 2020 samt HH-scenario

In order to achieve the environmental quality goals it is required to reduce emissions, particularly carbon dioxide emissions from road transport. A step in the right direction, from an environmental perspective, is to increase the use of electric railway. This means that a well-developed and functioning network that is customized to the European standards is required in order to motivate and manage increased travels by train. The expansion of Södertunneln is precisely such a project. This means that you want, in a practically easy way, to quickly and efficiently carry out some form of capacity analysis to determine the effect of an infrastructure measure. A program that can handle such a task is the simulation tool OpenTrack, with the help of which you can get many different answers on rail trafficking. That is why OpenTrack has been the most valuable means (in addition to the human factor, of course) to perform calculations regarding capacity. This study has investigated how the capacity will be affected for the year 2020 and briefly analyzed the capacity of a HH-case scenario. Priority has mainly been on obtaining the occupancy inside the Helsingborg station, and the system recovery capability during peak traffic hours. The reason is that if the system is functioning at peak traffic hours, it will also be able to functioning the other hours, if not an exceptional unexpected thing occur. The timetable set-up we have emanated from is taken from Skånetrafiken. The schedule for year 2020 means that you get an extremely high occupancy rate, over 90% on three of the tracks included in Helsingborg station, particularly during peak traffic hours. This means that the redistribution of trains to other tracks because of resulting delays is not possible. If it emerges consequences in such a scenario, it might result in large national economic costs. For the schedule in force year 2020 the recovery ability, at peak traffic hours, is negative, which means that delays will not be caught up, but will instead be spread further in the network. The lower recovery ability in year 2020 is primarily due to increased train traffic north of Helsingborg C. The timetable for the HH-case scenario means that the occupancy rate will be below 80%, even during peak traffic hours. This applies only if the adopted infrastructure measures are completed