Modelling driver behaviour in traffic-calmed areas

Matthias Richter; Jan Paszkowski

Titles

Abstract

Celem niniejszego artykułu jest zbadanie zachowań kierowców na ulicach o ruchu uspokojonym, w celu stworzenia metody modelowania mikro- i makrosymulacyjnego ulic tego typu. Za pomocą nagrań wideo ruchu odtworzono trajektorie pojazdów w celu ustalenia wyglądu funkcji oporu odcinka. Prędkości zostały podzielone na te występujące w miejscach, gdzie ruch jest spowolniony z powodu urządzeń uspokojenia ruchu, oraz te, w których ruch odbywa się bez zakłóceń, w celu stworzenia modelu w programie PTV Vissim. Model ten został przetestowany dla różnych natężeń ruchu, tak aby odkryć relację między natężeniem ruchu a zwiększeniem czasu przejazdu.

The aim of this paper is to investigate driver behaviour in order to develop a method for improving microand macrosimulation traffic models with a particular focus on traffic calming solutions. Therefore, speed profiles were calculated, a PTV Vissim model was created, and an attempt to estimate volume-delay functions was made. Driver behaviour was modelled on the basis of video recordings of traffic in trafficcalmed links. Speed profiles were divided into parts where the speed is influenced with the traffic calming and not, and speed distributions were calculated in order to be used in Vissim. Vissim microsimulation was tested on various traffic volumes, with various traffic compositions, in order to identify the relationship between traffic flow and travel time.

Keywords

uspokojenie ruchu, modelowanie, funkcja oporu odcinka ; traffic calming, modelling, volume-delay function

traffic calming, modelling, volume-delay function

References

[1] A1 Braess D., On a Paradox of Traffic Planning, “Transportation Science”, 39, 2005, 446–450.
[2] Leeming J.J., Road Accidents: Prevent or Punish?, 1969.
[3] Downs A., Still Stuck in Traffic: Coping With Peak-Hour Traffic Congestion, 2004.
[4] J H Mogridge M., Travel in towns: jam yesterday, jam today and jam tomorrow?, 1990.
[5] Traffic Calming: State of the Practice ITE/FHWA, August 1999.
[6] https://www.gps.gov/systems/gps/performance/accuracy (access: 5.07.2018).
[7] Barbosa H.M., Impacts of traffic calming measures on speeds on urban roads, Diss. University of Leeds, 1995.
[8] http://datafromsky.com (access: 5.07.2018).
[9] A7 PTV-Ag, PTV VISSIM 9 User Manual, Karlsruhe 2017.
[10] Bliemer M.C.J. et al., Genetics of traffic assignment models for strategic transport planning, Transport Reviews 37.1, 2017, 56–78.
[11] Kucharski R., Drabicki A., Estimating Macroscopic Volume Delay Functions with the Traffic Density Derived from Measured Speeds and Flows, Journal of Advanced Transportation 2017.

Information

Information: Technical Transactions, 2018, Volume 8 Year 2018 (115), pp. 111 - 124

DOI: https://doi.org/10.4467/2353737XCT.18.119.8894

Article type: Original article

Titles:

Polish:

Modelling driver behaviour in traffic-calmed areas

English:

Modelling driver behaviour in traffic-calmed areas

Authors

Matthias Richter

Faculty of Business Sciences, University of Applied Sciences, Zwickau

Jan Paszkowski

Fakultät Wirtschaftswissenschaften, Westsächsische Hochschule Zwickau

Published at: 29.08.2018

Article status: Open

Licence: None

Percentage share of authors:

Matthias Richter (Author) - 50%

Jan Paszkowski (Author) - 50%

Article corrections:

-

Publication languages:

English

View count: 1499

Number of downloads: 1223

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