Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study

Mehmet Ali Silgu; Gorkem Akyol; Hilmi Berk Celikoglu

doi:10.1007/978-3-030-45096-0_15

Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study

Mehmet Ali Silgu^*, Gorkem Akyol, Hilmi Berk Celikoglu

^*Corresponding author for this work

Department of Civil Engineering

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

3 Citations (Scopus)

Abstract

In the present study, we concentrate on the problem of optimization and the usage of green times for pedestrian traffic at crosswalks. We conduct a simulation based study that is calibrated with the field data collected. We propose a frame for the signal controllers in an adaptive fashion. Result from micro-simulation strengthens the finding that a trade-off between the pedestrian travel times and vehicles’ delays has to be made.

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	121-128
Number of pages	8
ISBN (Print)	9783030450953
DOIs	https://doi.org/10.1007/978-3-030-45096-0_15
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

Adaptive traffic control
Micro-simulation
Pedestrian traffic
Smart mobility

Access to Document

10.1007/978-3-030-45096-0_15

Cite this

Ali Silgu, M., Akyol, G., & Berk Celikoglu, H. (2020). Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study. In R. Moreno-Díaz, A. Quesada-Arencibia, & F. Pichler (Eds.), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers (pp. 121-128). (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_15

Ali Silgu, Mehmet ; Akyol, Gorkem ; Berk Celikoglu, Hilmi. / Analysis on Pedestrian Green Time Period : Preliminary Findings from a Case Study. Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. editor / Roberto Moreno-Díaz ; Alexis Quesada-Arencibia ; Franz Pichler. Springer, 2020. pp. 121-128 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{9239708d879744bd813dc8989cde3e03,

title = "Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study",

abstract = "In the present study, we concentrate on the problem of optimization and the usage of green times for pedestrian traffic at crosswalks. We conduct a simulation based study that is calibrated with the field data collected. We propose a frame for the signal controllers in an adaptive fashion. Result from micro-simulation strengthens the finding that a trade-off between the pedestrian travel times and vehicles{\textquoteright} delays has to be made.",

keywords = "Adaptive traffic control, Micro-simulation, Pedestrian traffic, Smart mobility",

author = "{Ali Silgu}, Mehmet and Gorkem Akyol and {Berk Celikoglu}, Hilmi",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019 ; Conference date: 17-02-2019 Through 22-02-2019",

year = "2020",

doi = "10.1007/978-3-030-45096-0_15",

language = "English",

isbn = "9783030450953",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "121--128",

editor = "Roberto Moreno-D{\'i}az and Alexis Quesada-Arencibia and Franz Pichler",

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

address = "Germany",

}

Ali Silgu, M, Akyol, G & Berk Celikoglu, H 2020, Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study. 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. 121-128, 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_15

Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study. / Ali Silgu, Mehmet; Akyol, Gorkem; 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. 121-128 (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

TY - GEN

T1 - Analysis on Pedestrian Green Time Period

T2 - 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019

AU - Ali Silgu, Mehmet

AU - Akyol, Gorkem

AU - Berk Celikoglu, Hilmi

PY - 2020

Y1 - 2020

N2 - In the present study, we concentrate on the problem of optimization and the usage of green times for pedestrian traffic at crosswalks. We conduct a simulation based study that is calibrated with the field data collected. We propose a frame for the signal controllers in an adaptive fashion. Result from micro-simulation strengthens the finding that a trade-off between the pedestrian travel times and vehicles’ delays has to be made.

AB - In the present study, we concentrate on the problem of optimization and the usage of green times for pedestrian traffic at crosswalks. We conduct a simulation based study that is calibrated with the field data collected. We propose a frame for the signal controllers in an adaptive fashion. Result from micro-simulation strengthens the finding that a trade-off between the pedestrian travel times and vehicles’ delays has to be made.

KW - Adaptive traffic control

KW - Micro-simulation

KW - Pedestrian traffic

KW - Smart mobility

UR - http://www.scopus.com/inward/record.url?scp=85083958432&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-45096-0_15

DO - 10.1007/978-3-030-45096-0_15

M3 - Conference contribution

AN - SCOPUS:85083958432

SN - 9783030450953

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 121

EP - 128

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

A2 - Moreno-Díaz, Roberto

A2 - Quesada-Arencibia, Alexis

A2 - Pichler, Franz

PB - Springer

Y2 - 17 February 2019 through 22 February 2019

ER -

Ali Silgu M, Akyol G, Berk Celikoglu H. Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study. 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. 121-128. (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_15

Analysis on Pedestrian Green Time Period: Preliminary Findings from a Case Study

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this