Mechanism of traffic jams at speed bottlenecks

In the past 20 years of complexity science, traffic has been studied as a complex system with a large amount of interacting agents. Since traffic has become an important aspect of our lives, understanding traffic system and how it interacts with various factors is essential. In this paper, the inter...

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Main Authors: Quek, Wei Liang, Chew, Lock Yue
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/104756
http://hdl.handle.net/10220/20328
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1047562023-02-28T19:41:54Z Mechanism of traffic jams at speed bottlenecks Quek, Wei Liang Chew, Lock Yue School of Physical and Mathematical Sciences DRNTU::Engineering::Computer science and engineering In the past 20 years of complexity science, traffic has been studied as a complex system with a large amount of interacting agents. Since traffic has become an important aspect of our lives, understanding traffic system and how it interacts with various factors is essential. In this paper, the interactions between traffic flow and road topology will be studied, particularly the relationship between a sharp bend in a road segment and traffic jams. As suggested by Sugiyama[1], when car density exceeds a critical density, the fluctuations in the speed of each car will lead to greater fluctuations in speed of the cars behind it. This enhancement of fluctuation leads to the congestion of vehicles. Using a cellular automata model modified from Nagel-Schreckenberg Cellular Automata model[2], the simulation results suggest that the mechanism of traffic jam at bottlenecks is similar to this. Instead of directly causing the congestion in cars, bottleneck on roads only causes the local density of traffic to increase. The resultant congestion is still due to the enhancement of fluctuations. Results of this study opened up a large number of possible analytical studies that could be used as grounds for future works. Published version 2014-08-18T05:32:11Z 2019-12-06T21:39:00Z 2014-08-18T05:32:11Z 2019-12-06T21:39:00Z 2014 2014 Journal Article Quek, W. L., & Chew, L. Y. (2014). Mechanism of Traffic Jams at Speed Bottlenecks. Procedia Computer Science, 29, 289-298. 1877-0509 https://hdl.handle.net/10356/104756 http://hdl.handle.net/10220/20328 10.1016/j.procs.2014.05.026 en Procedia computer science © 2014 The Authors. This paper was published in Procedia Computer Science and is made available as an electronic reprint (preprint) with permission of the Authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.1016/j.procs.2014.05.026]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Quek, Wei Liang
Chew, Lock Yue
Mechanism of traffic jams at speed bottlenecks
description In the past 20 years of complexity science, traffic has been studied as a complex system with a large amount of interacting agents. Since traffic has become an important aspect of our lives, understanding traffic system and how it interacts with various factors is essential. In this paper, the interactions between traffic flow and road topology will be studied, particularly the relationship between a sharp bend in a road segment and traffic jams. As suggested by Sugiyama[1], when car density exceeds a critical density, the fluctuations in the speed of each car will lead to greater fluctuations in speed of the cars behind it. This enhancement of fluctuation leads to the congestion of vehicles. Using a cellular automata model modified from Nagel-Schreckenberg Cellular Automata model[2], the simulation results suggest that the mechanism of traffic jam at bottlenecks is similar to this. Instead of directly causing the congestion in cars, bottleneck on roads only causes the local density of traffic to increase. The resultant congestion is still due to the enhancement of fluctuations. Results of this study opened up a large number of possible analytical studies that could be used as grounds for future works.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Quek, Wei Liang
Chew, Lock Yue
format Article
author Quek, Wei Liang
Chew, Lock Yue
author_sort Quek, Wei Liang
title Mechanism of traffic jams at speed bottlenecks
title_short Mechanism of traffic jams at speed bottlenecks
title_full Mechanism of traffic jams at speed bottlenecks
title_fullStr Mechanism of traffic jams at speed bottlenecks
title_full_unstemmed Mechanism of traffic jams at speed bottlenecks
title_sort mechanism of traffic jams at speed bottlenecks
publishDate 2014
url https://hdl.handle.net/10356/104756
http://hdl.handle.net/10220/20328
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