Influence of Intelligent Transport Systems services on motorways road safety

The positive effects of Intelligent Transport Systems (ITS) services on road safety was confirmed by long-term studies conducted, inter alia, in the USA, Japan and Europe. Benefits resulting from the application of ITS services can be presented through performance indicators. The paper presents analysis results of the influence of existing ITS services on road safety on motorways in Poland and indicators describing that impact. For the purpose of the analysis data of accidents (years 2013-2015) are used to describe safety level for motorways with different number and scope of ITS services. Additionally, the authors analyzed - based on the diagnosis of the traffic status - the possibility of the impact of existing and planned ITS services on improving the road safety in the area of the National Road Traffic Management System (Krajowy System Zarządzania Ruchem, - KSZR). Current level of ITS services on Polish motorways within the architecture of KSZR System and state of its development will be presented as well

Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models

The current assessment of the impact of Intelligent Transport System (ITS) services on the level of traffic safety and efficiency is based mainly on expert assessments, statistical surveys or several traffic safety models requiring development. There is no structured, uniform assessment method that would give the opportunity to compare the impact of ITS services and their different configurations. The paper presents the methodology for researching the effectiveness of ITS services implementation using transport models and key indicators allowing such an assessment. An approach was used in which the impact of ITS services is analysed using macro, meso and microscopic models. Macro and mesoscopic models allow estimation of the impact of ITS services on the efficiency of transport network operation and constitute the basis of analyses at the microscopic level, which takes into account the behaviour of drivers through the use of car following and lane change models. As part of the analyses, road network test models (for motorways and expressways along with an alternative route) were developed. Test models include road class, network topology, and different traffic intensity. The models were calibrated using real data (data from the traffic measurement station, data measured in the field, traffic distribution data from the VIATOLL charging system) and data from the vehicle simulator

Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models

The current assessment of the impact of Intelligent Transport System (ITS) services on the level of traffic safety and efficiency is based mainly on expert assessments, statistical surveys or several traffic safety models requiring development. There is no structured, uniform assessment method that would give the opportunity to compare the impact of ITS services and their different configurations. The paper presents the methodology for researching the effectiveness of ITS services implementation using transport models and key indicators allowing such an assessment. An approach was used in which the impact of ITS services is analysed using macro, meso and microscopic models. Macro and mesoscopic models allow estimation of the impact of ITS services on the efficiency of transport network operation and constitute the basis of analyses at the microscopic level, which takes into account the behaviour of drivers through the use of car following and lane change models. As part of the analyses, road network test models (for motorways and expressways along with an alternative route) were developed. Test models include road class, network topology, and different traffic intensity. The models were calibrated using real data (data from the traffic measurement station, data measured in the field, traffic distribution data from the VIATOLL charging system) and data from the vehicle simulator