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Traffic Modeling in Poland at the Municipal Level. Multi-purpose Model

  • Piotr RosikEmail author
  • Tomasz Komornicki
  • Sławomir Goliszek
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 844)

Abstract

The main objective of this paper is to develop passenger traffic modeling for the entire territory of Poland at a detailed spatial scale. Analysis embraces a large number of transport regions at the municipal level and a network of national and regional (provincial, voivodeship) roads. For this purpose statistical data has been applied indicating local conditions related to spatial and socio-economic structure as well as functional relations. The cognitive goal of the study is to identify factors affecting the distribution and intensity of passenger vehicle traffic. Such identification allows for separation of those sections of the network, for which local socio-economic conditions and specific functional connections determine a different modeled traffic intensity from the actual traffic based upon the General Traffic Census measure. Modeled results have been compared with the authentic distribution of traffic on the network of national and regional roads in Poland in 2010. Combination of the following six travel purposes has been taken into account: commuting to work (COM), shopping trips (CH), commuting to university (EDU), business trips (BIZ), visiting friends and relatives (VFR) and tourist trips (TUR). Grouping the six travel purposes in a single multi-purpose model has proved to be successful and led to improved fitting with the General Traffic Census results.

Keywords

Traffic modeling Car mileage Trip purpose split General traffic census 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Piotr Rosik
    • 1
    Email author
  • Tomasz Komornicki
    • 1
  • Sławomir Goliszek
    • 1
  1. 1.Department of Spatial OrganizationInstitute of Geography and Spatial Organization Polish Academy of SciencesWarsawPoland

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