Sukran Ilgin Guler

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

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1 Finished

SCC-CIVIC-PG Track B: Novel shared transportation services to improve rural-urban commutes
Gayah, V. V. (PI), Guler, S. I. (CoPI) & Ranjbari, A. (CoPI)
National Science Foundation
10/1/22 → 3/31/23
Project: Research project

56 Article
4 Conference contribution
2 Chapter
2 Review article
More
- 1 Conference article
- 1 Editorial

A Generative Approach to Generalize Deep Learning Models for Pavement Distress Segmentation
Prajapati, A. K. & Guler, I., Apr 2025, In: Data Science for Transportation. 7, 1, 2.
Research output: Contribution to journal › Article › peer-review

Open Access
Deep Learning-Based Spatial Translation of Traffic Prediction Using Newell's Theory
Sengupta, A. & Ilgin Guler, S., Jul 1 2025, In: Journal of Transportation Engineering Part A: Systems. 151, 7, 04025041.
Research output: Contribution to journal › Article › peer-review
Increasing signalized intersection capacity with flexible lane design
Shi, Y., Guler, S. I., Zhao, J., Zhu, J. & Yang, X., Apr 2025, In: Transportation Research Part C: Emerging Technologies. 173, 105054.
Research output: Contribution to journal › Article › peer-review
Modeling economic impacts of transportation infrastructure in Pennsylvania considering spatial dependency across counties
Mahmud, A., Gayah, V. V. & Guler, S. I., 2025, (Accepted/In press) In: International Journal of Transportation Science and Technology.
Research output: Contribution to journal › Article › peer-review

Open Access
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
Sengupta, A., Mondal, S., Das, A. & Guler, S. I., May 2024, In: Transportation Research Part C: Emerging Technologies. 162, 104585.
Research output: Contribution to journal › Article › peer-review

Open Access
10 Scopus citations

Sukran Ilgin Guler

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

SCC-CIVIC-PG Track B: Novel shared transportation services to improve rural-urban commutes

A Generative Approach to Generalize Deep Learning Models for Pavement Distress Segmentation

Deep Learning-Based Spatial Translation of Traffic Prediction Using Newell's Theory

Increasing signalized intersection capacity with flexible lane design

Modeling economic impacts of transportation infrastructure in Pennsylvania considering spatial dependency across counties

A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

Sukran Ilgin Guler

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Projects

SCC-CIVIC-PG Track B: Novel shared transportation services to improve rural-urban commutes

Research output

A Generative Approach to Generalize Deep Learning Models for Pavement Distress Segmentation

Deep Learning-Based Spatial Translation of Traffic Prediction Using Newell's Theory

Increasing signalized intersection capacity with flexible lane design

Modeling economic impacts of transportation infrastructure in Pennsylvania considering spatial dependency across counties

A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models