Akyol, Görkem

Profile Picture
Profile URL
https://hdl.handle.net/20.500.11779/2700
Name Variants
Akyol, Gorkem
Akyol, Görkem
Job Title
Email Address
akyolgo@mef.edu.tr
Main Affiliation
02.04. Department of Civil Engineering
Status
Current Staff
Website
ORCID ID
0000-0002-7955-6882
Scopus Author ID
57216262195
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
GXG-1715-2022
Files
1700607809-academic-2004044221.avif (13.56 KB)

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
1
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

6

Citations

36

h-index

3

Go to Scopus profile
Documents

1

Citations

6

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Scholarly Output

2

Articles

1

Views / Downloads

415/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

6

Scopus Citation Count

7

Patents

0

Projects

0

WoS Citations per Publication

3.00

Scopus Citations per Publication

3.50

Open Access Source

2

Supervised Theses

0

JournalCount
Arabian Journal for Science and Engineering1
Transportation Research Procedia -- 25th Euro Working Group on Transportation Meeting, EWGT 2023 -- 6 September 2023 through 8 September 2023 -- Santander -- 1977131
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  • Thumbnail Image
    Article
    Citation - WoS: 6
    Citation - Scopus: 6
    Multi-Objective Optimization Framework for Trade-Off Among Pedestrian Delays and Vehicular Emissions at Signal-Controlled Intersections
    (Springer Heidelberg, 2024) Silgu, Mehmet Ali; Göncü, Sadullah; Akyol, Görkem
    Traffic congestion has several adverse effects on urban traffic networks. Increased travel times of vehicles, with the addition of excessive greenhouse emissions, can be listed as harmful effects. To address these issues, transportation engineers aim to reduce private car usage, reduce travel times through different control strategies, and mitigate harmful effects on urban networks. In this study, we introduce an innovative approach to optimizing traffic signal control settings. This methodology takes into account both pedestrian delays and vehicular emissions. Non-dominated sorting genetic algorithm-II and Multi-objective Artificial Bee Colony algorithms are adopted to solve the multi-objective optimization problem. The vehicular emissions are modeled through the MOVES3 emission model and integrated into the utilized microsimulation environment. Initially, the proposed framework is tested on a hypothetical test network, followed by a real-world case study. Results indicate a significant improvement in pedestrian delays and lower emissions.
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    Conference Object
    Citation - Scopus: 1
    A Bi-Objective Traffic Signal Optimization Model for Mixed Traffic Concerning Pedestrian Delays
    (Elsevier B.V., 2024) Akyol, Görkem; Çelikoğlu, Hilmi Berk; Silgu, Mehmet Ali; Goncu, Sadullah
    Urban traffic networks suffer in numerous ways from traffic congestion. Some of these adverse effects are increased travel times of cars, buses, bicycle users, pedestrians etc., with the addition of excessive greenhouse gas emissions. Transportation engineers and policy makers try to improve the quality of urban transportation systems by developing projects to enhance the pedestrian experience, reduce private car usage, reduce total time spent in the network through different control strategies, and diminish the detrimental effects. In this context, this study takes Connected and Automated Vehicles (CAVs) and pedestrians into account at signal-controlled intersections. A novel intersection signal control optimization methodology that incorporates pedestrian delays and vehicular emissions from CAVs is presented. Non-dominated sorting genetic algorithm-II is utilized to solve the multiobjective optimization problem. For the emission calculations, the MOVES3 emission model is utilized. The proposed framework is tested on real-world case study. Simulation experiments showed major improvements in pedestrian delays and lower emissions. © 2024 The Authors. Published by ELSEVIER B.V.