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Traffic users delays variability at pedestrian crossings

Authors: Oskarbski, Jacek; Gumińska, Lucyna; Jamroz, Kazimierz;

Traffic users delays variability at pedestrian crossings

Abstract

Most cities (especially in Central and Eastern Europe) focus on improving the road network, which aims to improve the efficiency of motor vehicle traffic and minimize congestion. Most existing tools for analysing the effectiveness of urban transport networks do not correctly analyse the impact of walking and cycling on network performance. Instead, they focus exclusively on the results of motor vehicle transport and exclude pedestrians and cyclists, or incorporate them as factors that interfere with the traffic of motor vehicles. It is therefore necessary to introduce solutions that will, on the one hand, reduce congestion and, on the other, improve the safety and travel quality of vulnerable road users. One of the tasks that need to be done to improve pedestrian conditions is to determine the relationship between pedestrian and vehicle traffic. An example of the application of microscopic models in the study of delays of traffic participants (road users) is presented in this paper. These analyses do not exhaust the test issues but are only a prelude to further research that will be run, among others, within the FLOW Project framework (HORIZON 2020).

Keywords

delay time, pedestrians crossings, PTV Vissim, PTV Viswalk, pedestrian behaviour

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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