Evaluation of Train Driving with Lineside ATPand ERTMS Signaling
Time: Fri 2021-06-11 14.00
Subject area: Transport Science, Transport Systems
Doctoral student: Tomas Rosberg , Transportplanering, VTI
Opponent: Professor Ziemke Tom,
Supervisor: Professor Markus Bohlin, ; Dr. Birgitta Thorslund, VTI; Ph.D Behzad Kordnejad,
Abstract
From many perspectives there is a need to understand more of how capacity, signal systems, anddriving behavior interact, and naturally since ERTMS is in its early stage, some areas are stillunexplored. The number of retrofitted ERTMS lines and new designed ERTMS lines are increasing inEurope, which implies extra focus on the capacity optimization in the network planning process.Many of these signaling projects involves going from traditional national lineside signaling to ERTMS.One of the parameters in capacity assessments that is relatively unexplored is the impact of the traindriver. One important knowledge gap to fill, is how simulation parameters should be adapted formore realistic capacity planning, based on driving behavior. ERTMS support new possibilities ofsignaling with its design of speed profiles, but what consequences does the choices have? It is animportant topic since ERTMS is a paradigm shift in train driving, and driveability has an impact onsafety, energy-consumption, and capacity. The purpose of this PhD project is adding knowledge tothis field. The work has been carried out incrementally, beginning with investigation of drivingbehavior with Swedish traditional lineside signaling (ATC), and with this new information proceedingto the area of ERTMS. The continuation of this project aims at investigating train driving behavior forERTMS with a proposed new measuring method based on the standardized ETCS radio signaling. Thisnew method offers a broad spectrum of train driving analysis for ERTMS in a new efficient way.Lastly, in the perspective of ERTMS lines have been evaluated as more challenging to drive, asystematic literature review was conducted to understand ERTMS driveability and how driveabilitycan be assessed. In the overall picture the impact on driveability originates from both technological,organizational, and train driver aspects. Analyzing the research objectives in this area aims atcontributing to a more effective and beneficial network planning process.