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Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models
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.
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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MATEC Web of Conferences
no. 231,
pages 1 - 9,
ISSN: 2261-236X - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Oskarbski J., Gumińska L., Marcinkowski T., Mowiński K., Oskarbska I., Oskarbski G., Zawisza M., Żarski K.: Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models// MATEC Web of Conferences -Vol. 231, (2018), s.1-9
- DOI:
- Digital Object Identifier (open in new tab) 10.1051/matecconf/201823102008
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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