Abstract

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.

Highlights

  • Intelligent Transport System (ITS) services in many long-term studies have been identified as a factor that can improve road safety level

  • The most direct way to assess the level of traffic safety is the statistical analysis of road accidents., It is possible to calculate direct or risk measures taking into account the number of accidents per road length and traffic volumes on different types/classes of roads using data from accident statistics

  • Many factors influence the level of road safety, e.g.: road class, road geometry, road surroundings, number and geometry of interchanges, speed limits and driver behaviour

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Summary

Introduction

Intelligent Transport System (ITS) services in many long-term studies have been identified as a factor that can improve road safety level. A road safety analysis for these sections was conducted based on data on accidents and traffic volumes in the period from 2013-2015. The number of injuries is 26% lower (11% seriously injured), and the number of fatalities is reduced by 49% These results may suggest a positive effect of ITS services on the level of traffic safety. Based on preliminary studies pilot road sections were selected, which are analysed in detail with the use of transport models and surrogate safety measures. Each sub-model has different influencing parameters which mean it is necessary to modify and improve these parameters to ensure they emulate more realistic traffic measures [5]

Methodology
Test model
Sample results of the application of incident management service
Findings
Conclusion
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