Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation
Beyond its significance in urban planning and traffic engineering, the optimal design of road networks is crucial for the uninterrupted flow of traffic. Traffic congestion results in increased travel times and waiting times as well as higher CO2 emissions. It is therefore imperative to study and opt...
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ftdoajarticles:oai:doaj.org/article:a8a88e5e44454d3ebb3ebad082f41088 2023-05-15T17:14:08+02:00 Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation Syed Muhammad Mustafa Kazmi Xu Sun Hao Yu Jan-Arne Pettersen Diana Santalova Thordarson 2022-11-01T00:00:00Z https://doi.org/10.5281/zenodo.7368484 https://doaj.org/article/a8a88e5e44454d3ebb3ebad082f41088 EN eng FRUCT https://www.fruct.org/publications/volume-32/acm32/files/Kaz.pdf https://doaj.org/toc/2305-7254 https://doaj.org/toc/2343-0737 2305-7254 2343-0737 doi:10.5281/zenodo.7368484 https://doaj.org/article/a8a88e5e44454d3ebb3ebad082f41088 Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 359-365 (2022) traffic congestion traffic simulation anylogic road networks t-intersection Telecommunication TK5101-6720 article 2022 ftdoajarticles https://doi.org/10.5281/zenodo.7368484 2022-12-30T20:16:58Z Beyond its significance in urban planning and traffic engineering, the optimal design of road networks is crucial for the uninterrupted flow of traffic. Traffic congestion results in increased travel times and waiting times as well as higher CO2 emissions. It is therefore imperative to study and optimize the traffic flow through roads and junctions to avoid such conditions. In this paper, a highly congested T-intersection in Narvik, Norway, is analyzed and several alternative plans are tested to reduce the travel time through the junction and the waiting time for cars in queues. The process begins with the collection of traffic data to estimate the current waiting times and understand the queuing problem. The current state is modeled in AnyLogic to simulate the actual conditions at the intersection. Two alternate solutions are then presented and analyzed. One is the use of traffic lights, and the other is the installation of a roundabout. The waiting times and queues associated with the two alternatives are compared with the current state to determine the better alternative. This paper presents the effectiveness of using simulation to solve the traffic congestion problems at T-junctions, and the method can be applied to various similar problems. Article in Journal/Newspaper Narvik Narvik Directory of Open Access Journals: DOAJ Articles Narvik ENVELOPE(17.427,17.427,68.438,68.438) Norway |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
traffic congestion traffic simulation anylogic road networks t-intersection Telecommunication TK5101-6720 |
spellingShingle |
traffic congestion traffic simulation anylogic road networks t-intersection Telecommunication TK5101-6720 Syed Muhammad Mustafa Kazmi Xu Sun Hao Yu Jan-Arne Pettersen Diana Santalova Thordarson Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
topic_facet |
traffic congestion traffic simulation anylogic road networks t-intersection Telecommunication TK5101-6720 |
description |
Beyond its significance in urban planning and traffic engineering, the optimal design of road networks is crucial for the uninterrupted flow of traffic. Traffic congestion results in increased travel times and waiting times as well as higher CO2 emissions. It is therefore imperative to study and optimize the traffic flow through roads and junctions to avoid such conditions. In this paper, a highly congested T-intersection in Narvik, Norway, is analyzed and several alternative plans are tested to reduce the travel time through the junction and the waiting time for cars in queues. The process begins with the collection of traffic data to estimate the current waiting times and understand the queuing problem. The current state is modeled in AnyLogic to simulate the actual conditions at the intersection. Two alternate solutions are then presented and analyzed. One is the use of traffic lights, and the other is the installation of a roundabout. The waiting times and queues associated with the two alternatives are compared with the current state to determine the better alternative. This paper presents the effectiveness of using simulation to solve the traffic congestion problems at T-junctions, and the method can be applied to various similar problems. |
format |
Article in Journal/Newspaper |
author |
Syed Muhammad Mustafa Kazmi Xu Sun Hao Yu Jan-Arne Pettersen Diana Santalova Thordarson |
author_facet |
Syed Muhammad Mustafa Kazmi Xu Sun Hao Yu Jan-Arne Pettersen Diana Santalova Thordarson |
author_sort |
Syed Muhammad Mustafa Kazmi |
title |
Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
title_short |
Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
title_full |
Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
title_fullStr |
Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
title_full_unstemmed |
Solving a Traffic Congestion Problem at T-intersections using AnyLogic Simulation |
title_sort |
solving a traffic congestion problem at t-intersections using anylogic simulation |
publisher |
FRUCT |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.7368484 https://doaj.org/article/a8a88e5e44454d3ebb3ebad082f41088 |
long_lat |
ENVELOPE(17.427,17.427,68.438,68.438) |
geographic |
Narvik Norway |
geographic_facet |
Narvik Norway |
genre |
Narvik Narvik |
genre_facet |
Narvik Narvik |
op_source |
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 359-365 (2022) |
op_relation |
https://www.fruct.org/publications/volume-32/acm32/files/Kaz.pdf https://doaj.org/toc/2305-7254 https://doaj.org/toc/2343-0737 2305-7254 2343-0737 doi:10.5281/zenodo.7368484 https://doaj.org/article/a8a88e5e44454d3ebb3ebad082f41088 |
op_doi |
https://doi.org/10.5281/zenodo.7368484 |
_version_ |
1766071417314476032 |