The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities

Marwan Salim Mahmood Al-Dabbagh, Ali Al-Sherbaz, Scott Turner

Research output: Contribution to Book/Report typesConference contributionResearchpeer-review

Abstract

Due to the dramatic increase in population and the rapid developments of the automobile industry, tremendous issues have emerged in road traffic systems, such as traffic congestion. In some big cities, traffic congestion occurs due to several factors, such as roadworks, car accidents, and drivers' behaviour. Consequently, it negatively impacts on environment and economy as well as on the behaviour of drivers and passengers. In this paper, we first identified the factors that may increase the journey time and listed the traffic congestion measurement metrics. Then, we investigate to reveal the relationship of road network topology to the traffic congestion level regarding travel time and the number of affected vehicles in case of traffic incidents. The open source traffic simulator SUMO (Simulation of Urban MObility) was used to simulate vehicular traffic and to generate traffic jams on the roadmap under various scenarios. These scenarios involve three road topologies which were: crossroads in Denver (CO, USA), roundabouts in Nantes (France), and hybrid topology, which is the combination of intersections and roundabouts, in Northampton town (UK). The results showed that the delayed time is less in the roundabout traffic map topology, and the number of affected vehicles in the case of traffic incidents is less likely to happen in the hybrid topology.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Place of PublicationCham
PublisherSpringer International Publishing
Pages1196-1207
Number of pages12
ISBN (Electronic)978-3-030-01054-6
ISBN (Print)978-3-030-01054-6
DOIs
Publication statusPublished - 9 Nov 2018

Publication series

Name Advances in Intelligent Systems and Computing
PublisherSpringer

Fingerprint

Traffic congestion
Topology
Travel time
Automotive industry
Accidents
Railroad cars
Simulators

Cite this

Al-Dabbagh, M. S. M., Al-Sherbaz, A., & Turner, S. (2018). The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications (pp. 1196-1207). ( Advances in Intelligent Systems and Computing). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-01054-6_83
Al-Dabbagh, Marwan Salim Mahmood ; Al-Sherbaz, Ali ; Turner, Scott. / The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities. Intelligent Systems and Applications. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Cham : Springer International Publishing, 2018. pp. 1196-1207 ( Advances in Intelligent Systems and Computing).
@inproceedings{d3d6d89a0ceb4f43a918682be79f084a,
title = "The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities",
abstract = "Due to the dramatic increase in population and the rapid developments of the automobile industry, tremendous issues have emerged in road traffic systems, such as traffic congestion. In some big cities, traffic congestion occurs due to several factors, such as roadworks, car accidents, and drivers' behaviour. Consequently, it negatively impacts on environment and economy as well as on the behaviour of drivers and passengers. In this paper, we first identified the factors that may increase the journey time and listed the traffic congestion measurement metrics. Then, we investigate to reveal the relationship of road network topology to the traffic congestion level regarding travel time and the number of affected vehicles in case of traffic incidents. The open source traffic simulator SUMO (Simulation of Urban MObility) was used to simulate vehicular traffic and to generate traffic jams on the roadmap under various scenarios. These scenarios involve three road topologies which were: crossroads in Denver (CO, USA), roundabouts in Nantes (France), and hybrid topology, which is the combination of intersections and roundabouts, in Northampton town (UK). The results showed that the delayed time is less in the roundabout traffic map topology, and the number of affected vehicles in the case of traffic incidents is less likely to happen in the hybrid topology.",
author = "Al-Dabbagh, {Marwan Salim Mahmood} and Ali Al-Sherbaz and Scott Turner",
year = "2018",
month = "11",
day = "9",
doi = "10.1007/978-3-030-01054-6_83",
language = "English",
isbn = "978-3-030-01054-6",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer International Publishing",
pages = "1196--1207",
editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",
booktitle = "Intelligent Systems and Applications",

}

Al-Dabbagh, MSM, Al-Sherbaz, A & Turner, S 2018, The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Systems and Applications. Advances in Intelligent Systems and Computing, Springer International Publishing, Cham, pp. 1196-1207. https://doi.org/10.1007/978-3-030-01054-6_83

The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities. / Al-Dabbagh, Marwan Salim Mahmood; Al-Sherbaz, Ali; Turner, Scott.

Intelligent Systems and Applications. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Cham : Springer International Publishing, 2018. p. 1196-1207 ( Advances in Intelligent Systems and Computing).

Research output: Contribution to Book/Report typesConference contributionResearchpeer-review

TY - GEN

T1 - The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities

AU - Al-Dabbagh, Marwan Salim Mahmood

AU - Al-Sherbaz, Ali

AU - Turner, Scott

PY - 2018/11/9

Y1 - 2018/11/9

N2 - Due to the dramatic increase in population and the rapid developments of the automobile industry, tremendous issues have emerged in road traffic systems, such as traffic congestion. In some big cities, traffic congestion occurs due to several factors, such as roadworks, car accidents, and drivers' behaviour. Consequently, it negatively impacts on environment and economy as well as on the behaviour of drivers and passengers. In this paper, we first identified the factors that may increase the journey time and listed the traffic congestion measurement metrics. Then, we investigate to reveal the relationship of road network topology to the traffic congestion level regarding travel time and the number of affected vehicles in case of traffic incidents. The open source traffic simulator SUMO (Simulation of Urban MObility) was used to simulate vehicular traffic and to generate traffic jams on the roadmap under various scenarios. These scenarios involve three road topologies which were: crossroads in Denver (CO, USA), roundabouts in Nantes (France), and hybrid topology, which is the combination of intersections and roundabouts, in Northampton town (UK). The results showed that the delayed time is less in the roundabout traffic map topology, and the number of affected vehicles in the case of traffic incidents is less likely to happen in the hybrid topology.

AB - Due to the dramatic increase in population and the rapid developments of the automobile industry, tremendous issues have emerged in road traffic systems, such as traffic congestion. In some big cities, traffic congestion occurs due to several factors, such as roadworks, car accidents, and drivers' behaviour. Consequently, it negatively impacts on environment and economy as well as on the behaviour of drivers and passengers. In this paper, we first identified the factors that may increase the journey time and listed the traffic congestion measurement metrics. Then, we investigate to reveal the relationship of road network topology to the traffic congestion level regarding travel time and the number of affected vehicles in case of traffic incidents. The open source traffic simulator SUMO (Simulation of Urban MObility) was used to simulate vehicular traffic and to generate traffic jams on the roadmap under various scenarios. These scenarios involve three road topologies which were: crossroads in Denver (CO, USA), roundabouts in Nantes (France), and hybrid topology, which is the combination of intersections and roundabouts, in Northampton town (UK). The results showed that the delayed time is less in the roundabout traffic map topology, and the number of affected vehicles in the case of traffic incidents is less likely to happen in the hybrid topology.

UR - http://link.springer.com/10.1007/978-3-030-01054-6_83

UR - http://www.mendeley.com/research/impact-road-intersection-topology-traffic-congestion-urban-cities

U2 - 10.1007/978-3-030-01054-6_83

DO - 10.1007/978-3-030-01054-6_83

M3 - Conference contribution

SN - 978-3-030-01054-6

T3 - Advances in Intelligent Systems and Computing

SP - 1196

EP - 1207

BT - Intelligent Systems and Applications

A2 - Arai, Kohei

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer International Publishing

CY - Cham

ER -

Al-Dabbagh MSM, Al-Sherbaz A, Turner S. The Impact of Road Intersection Topology on Traffic Congestion in Urban Cities. In Arai K, Kapoor S, Bhatia R, editors, Intelligent Systems and Applications. Cham: Springer International Publishing. 2018. p. 1196-1207. ( Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-01054-6_83