4.7 Article

Traffic flow parameters development modelling at traffic calming measures located on arterial roads

Journal

AIN SHAMS ENGINEERING JOURNAL
Volume 12, Issue 1, Pages 437-444

Publisher

ELSEVIER
DOI: 10.1016/j.asej.2020.04.014

Keywords

Acceleration noise; Arterial road; Delay; Flat-topped hump; Speed bump; Traffic calming measure

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Controlling speed is essential for safety on the road, and the traffic calming measures in Mosul city showed reductions of 71.6%, 66%, and 60% in vehicle speed. The departure rate headways after crossing followed a continuous Exponential Distribution, indicating a steady flow of traffic after passing through the calming measures.
Controlling the speed of vehicles is essential in some parts of the roadway. One way of controlling speed is to use static control devices i.e. traffic calming measures, which reduce the speeds of vehicles and thereby increase safety, while produce discomfort when crossing over it. In this study, three types of traffic calming measures located in Mosul city are investigated: flat-topped hump, single bump, and double bump. A data related to the driver's behaviour, such as driving speed at different locations from the device, vehicle headways, travel times, and delays are obtained. The data are collected using video camera and speed radar gun instruments. Thirteen traffic calming measure locations on arterial roads were selected. The speed reduction at calming devices are 71.6%, 66%, and 60% for flat-topped humps, double bumps, and single bumps respectively. The acceleration value ranges from 0.424 to 1.107 m/sec(2), while for deceleration from 0.039 to 1.042 m/sec(2). The highest acceleration and deceleration values are at flattopped hump and double bump respectively. The arrival rates of the traffic platoons before calming location follows the Poisson Distribution for both single and double bumps, while in the case of flat-topped humps the Binomial Distribution shows to be the best one followed. Departure rate headways after crossing follows a continuous Exponential Distribution. Rate distributions are validated by Chi-square and Kolmogorov-Smirnov non-parametric statistical tests for final validation, and models are correlated with high coefficient of determination values. Acceleration noise as a powerful speed change measuring parameter is selected to be measured along the test sections was studied and found that the higher value is for flat-topped hump. The highest delays from travel time measured on both up and downstream locations are for the double speed bump. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ncnd/4.0/).

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