Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections

Mehmet Ali Silgu; Ismet Goksad Erdagi; Hilmi Berk Celikoglu

doi:10.1007/978-3-030-45096-0_10

Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections

Mehmet Ali Silgu^*, Ismet Goksad Erdagi, Hilmi Berk Celikoglu

^*Corresponding author for this work

Department of Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.

Original language	English
Title of host publication	Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers
Editors	Roberto Moreno-Díaz, Alexis Quesada-Arencibia, Franz Pichler
Publisher	Springer
Pages	79-86
Number of pages	8
ISBN (Print)	9783030450953
DOIs	https://doi.org/10.1007/978-3-030-45096-0_10
Publication status	Published - 2020
Event	17th International Conference on Computer Aided Systems Theory, EUROCAST 2019 - Las Palmas de Gran Canaria, Spain Duration: 17 Feb 2019 → 22 Feb 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12014 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Computer Aided Systems Theory, EUROCAST 2019
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	17/02/19 → 22/02/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Cooperative Adaptive Cruise Control
Microscopic simulation
Smart mobility
Traffic flow

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-45096-0_10

Cite this

Ali Silgu, M., Goksad Erdagi, I., & Berk Celikoglu, H. (2020). Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. In R. Moreno-Díaz, A. Quesada-Arencibia, & F. Pichler (Eds.), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers (pp. 79-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12014 LNCS). Springer. https://doi.org/10.1007/978-3-030-45096-0_10

Ali Silgu, Mehmet ; Goksad Erdagi, Ismet ; Berk Celikoglu, Hilmi. / Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. editor / Roberto Moreno-Díaz ; Alexis Quesada-Arencibia ; Franz Pichler. Springer, 2020. pp. 79-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.",

keywords = "Cooperative Adaptive Cruise Control, Microscopic simulation, Smart mobility, Traffic flow",

author = "{Ali Silgu}, Mehmet and {Goksad Erdagi}, Ismet and {Berk Celikoglu}, Hilmi",

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Ali Silgu, M, Goksad Erdagi, I & Berk Celikoglu, H 2020, Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. in R Moreno-Díaz, A Quesada-Arencibia & F Pichler (eds), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12014 LNCS, Springer, pp. 79-86, 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, Las Palmas de Gran Canaria, Spain, 17/02/19. https://doi.org/10.1007/978-3-030-45096-0_10

Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. / Ali Silgu, Mehmet; Goksad Erdagi, Ismet; Berk Celikoglu, Hilmi.
Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. ed. / Roberto Moreno-Díaz; Alexis Quesada-Arencibia; Franz Pichler. Springer, 2020. p. 79-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12014 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Berk Celikoglu, Hilmi

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Y1 - 2020

N2 - In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.

AB - In this paper, a problem to jointly optimize the performances of vehicular traffic flow, i.e., the total time spent, the number of stop-and-go movements, and the total emissions, is handled to investigate and discuss the effectiveness of the penetration rates of cooperatively controlled vehicles in mixed traffic. A simulation-based solution is sought over the SUMO micro-simulation environment considering three hypothetical road networks and varying demand profiles.

KW - Cooperative Adaptive Cruise Control

KW - Microscopic simulation

KW - Smart mobility

KW - Traffic flow

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BT - Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers

A2 - Moreno-Díaz, Roberto

A2 - Quesada-Arencibia, Alexis

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Ali Silgu M, Goksad Erdagi I, Berk Celikoglu H. Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections. In Moreno-Díaz R, Quesada-Arencibia A, Pichler F, editors, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Springer. 2020. p. 79-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-45096-0_10

Analyzing Network-Wide Effects of Cooperative Adaptive Cruise Control Without Traffic Signal Control at Intersections

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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