1. bookVolume 115 (2018): Issue 8 (August 2018)
Journal Details
License
Format
Journal
eISSN
2353-737X
First Published
20 May 2020
Publication timeframe
1 time per year
Languages
English
access type Open Access

Modelling driver behaviour in traffic-calmed areas

Published Online: 21 May 2020
Volume & Issue: Volume 115 (2018) - Issue 8 (August 2018)
Page range: 111 - 124
Received: 13 Jul 2018
Journal Details
License
Format
Journal
eISSN
2353-737X
First Published
20 May 2020
Publication timeframe
1 time per year
Languages
English
Abstract

The aim of this paper is to investigate driver behaviour in order to develop a method for improving micro-and 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 traffic-calmed 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

[1] A1 Braess D., On a Paradox of Traffic Planning, “Transportation Science”, 39, 2005, 446–450.10.1287/trsc.1050.0127Search in Google Scholar

[2] Leeming J.J., Road Accidents: Prevent or Punish?, 1969.Search in Google Scholar

[3] Downs A., Still Stuck in Traffic: Coping With Peak-Hour Traffic Congestion, 2004.Search in Google Scholar

[4] J H Mogridge M., Travel in towns: jam yesterday, jam today and jam tomorrow?, 1990.10.1007/978-1-349-11798-7Search in Google Scholar

[5] Traffic Calming: State of the Practice ITE/FHWA, August 1999.Search in Google Scholar

[6] https://www.gps.gov/systems/gps/performance/accuracy (access: 5.07.2018).Search in Google Scholar

[7] Barbosa H.M., Impacts of traffic calming measures on speeds on urban roads, Diss. University of Leeds, 1995.Search in Google Scholar

[8] http://datafromsky.com (access: 5.07.2018).Search in Google Scholar

[9] A7 PTV-Ag, PTV VISSIM 9 User Manual, Karlsruhe 2017.Search in Google Scholar

[10] Bliemer M.C.J. et al., Genetics of traffic assignment models for strategic transport planning, Transport Reviews 37.1, 2017, 56–78.10.1080/01441647.2016.1207211Search in Google Scholar

[11] Kucharski R., Drabicki A., Estimating Macroscopic Volume Delay Functions with the Traffic Density Derived from Measured Speeds and Flows, Journal of Advanced Transportation 2017.10.1155/2017/4629792Search in Google Scholar

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