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Modelling of traffic flow characteristics of traffic calmed roads

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Digitalization and Industry 4.0: Economic and Societal Development

Abstract

According to a definition by Institute of Transportation Engineers traffic calming is a set of measures, the purposes of which is to reduce the negative effects of motor vehicle use, alter driver behaviour and improve conditions for nonmotorised street users. That includes reduction of traffic volume, thus noise and air pollution, improvement of road safety level, and the quality of life. The beginning of traffic calming reaches 1960s and 1970s in Great Britain, Germany, Netherlands and Denmark and is connect ed with pedestrianisation – an idea to prioritise walking by closing the streets or to slow car speed down to walking pace.

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References

  • Akcelik, R. (1991). Travel time functions for transport planning purposes: Davidson’s function, its time dependent form and alternative travel time function. Australian Road Research.

    Google Scholar 

  • Barbosa, H. M. (1995). Impacts of traffic calming measures on speeds on urban roads. Leeds: University of Leeds.

    Google Scholar 

  • Brindle, R. (1992). Australia’s Contribution to Traffic Calming. Pearson: PTRC.

    Google Scholar 

  • Bureau of Public Roads. (1964). Traffic Assignment Manual. Washington, DC: Department of Commerce, Urban Planning Division.

    Google Scholar 

  • Daganzo, Geroliminis. (2008). An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transportation reseatch part B: Methodological.

    Google Scholar 

  • DatafromSky. (2018). Advanced traffic analysis of video data. Retrieved 18.3.2018, from http://datafromsky.com/

  • GPS. (2017). GPS Accuracy. What is the government’s commitment to GPS accuracy? Retrieved 18.3.2018, from https://www.gps.gov/systems/gps/performance/accuracy/

  • Helbing, D. (2008). Derivation of a fundamental diagram for urban traffic flow. THE EUROPEAN PHYSICAL JOURNAL B.

    Google Scholar 

  • ITE/FHWA. (1999). Traffic Calming: State of the Practice ITE/FHWA, August 1999. Retrieved 18.3.2019, from http://www.industrializedcyclist.com/trafficcalming.pdf

  • Kucharski, R. (2013). MAKROSKOPOWY MODEL PRZEPŁYWU RUCHU W SIECI DRUGIEGO RZĘDU – ALTERNATYWNY OPIS STANU SIECI.

    Google Scholar 

  • Kucharski, R., Drabicki, A. (2017). Estimating Macroscopic Volume Delay Functions with the Traffic Density Derived from Measured Speeds and Flows. Journal of Advanced Transportation.

    Google Scholar 

  • Petrik, O., Filipe, M., de Abreu e Silva, J. (2014). The Influence of the Volume – Delay Function on Uncertainty Assessment for a Four-Step Model. Advances in Intelligent Systems and Computing.

    Google Scholar 

  • PTV-Ag. (2017). PTV VISSIM 9 User Manual. Karlsruhe: PTV-Ag.

    Google Scholar 

  • Spiess, H. (1990). Technical note—conical volume-delay functions. Transportation Science.

    Google Scholar 

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Correspondence to Matthias Richter .

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Richter, M., Paszkowski, J. (2020). Modelling of traffic flow characteristics of traffic calmed roads. In: Brauweiler, HC., Kurchenkov, V., Abilov, S., Zirkler, B. (eds) Digitalization and Industry 4.0: Economic and Societal Development. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-27110-7_17

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  • DOI: https://doi.org/10.1007/978-3-658-27110-7_17

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  • Online ISBN: 978-3-658-27110-7

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