MECIT CETIN

MECIT CETIN

Old Dominion University

H-index: 22

North America-United States

About MECIT CETIN

MECIT CETIN, With an exceptional h-index of 22 and a recent h-index of 18 (since 2020), a distinguished researcher at Old Dominion University, specializes in the field of transportation systems, traffic flow, intelligent transportation systems, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Estimating demand volume for signalized corridors under oversaturated conditions using aggregated probe vehicle speed data

Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network

Improving position-time trajectory accuracy in vehicle stop-and-go scenarios by using a mobile robot as a testbed

Improving Safety Service Patrol Performance

Surfgenerator: Generative adversarial network modeling for synthetic flooding video generation

Quantification of compound flooding over roadway network during extreme events for planning emergency operations

Effectiveness of TMC AI Applications in Case Studies

A Deep Learning Method for Floodwater Depth Prediction on Roadways from Side-View Real and Synthetic Images of Vehicles

MECIT CETIN Information

University

Position

Professor

Citations(all)

2548

Citations(since 2020)

1272

Cited By

1739

hIndex(all)

22

hIndex(since 2020)

18

i10Index(all)

50

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

MECIT CETIN Skills & Research Interests

transportation systems

traffic flow

intelligent transportation systems

machine learning

Top articles of MECIT CETIN

Estimating demand volume for signalized corridors under oversaturated conditions using aggregated probe vehicle speed data

Transportation research record

2024/3

Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network

Environmental Modelling & Software

2024/2/1

Improving position-time trajectory accuracy in vehicle stop-and-go scenarios by using a mobile robot as a testbed

Journal of Control Engineering and Applied Informatics

2023/9/26

Mecit Cetin
Mecit Cetin

H-Index: 14

Improving Safety Service Patrol Performance

2023

Surfgenerator: Generative adversarial network modeling for synthetic flooding video generation

2022/7/18

Mecit Cetin
Mecit Cetin

H-Index: 14

Quantification of compound flooding over roadway network during extreme events for planning emergency operations

Natural Hazards Review

2022/5/1

Effectiveness of TMC AI Applications in Case Studies

2022/2/1

Mecit Cetin
Mecit Cetin

H-Index: 14

Z Wang
Z Wang

H-Index: 1

A Deep Learning Method for Floodwater Depth Prediction on Roadways from Side-View Real and Synthetic Images of Vehicles

Journal of Big Data Analytics in Transportation

2022

A comparison of deep learning algorithms on image data for detecting floodwater on roadways

Computer Science and Information Systems

2022

Applying a Deep Convolutional Neural Network to Segment the Flooding Extent from Images of Urban Flooding: Toward an Urban Flood Monitoring System

AGU Fall Meeting Abstracts

2022/12

Reliability of MEMS Accelerometers Embedded in Smart Mobile Devices for Robotics Applications

2022/9/16

Mecit Cetin
Mecit Cetin

H-Index: 14

Utilization of a Vehicle's On-Board Diagnostics to Reduce GPS-Sourced Positioning Error

2022/9/7

Mecit Cetin
Mecit Cetin

H-Index: 14

Methods for classification of truck trailers using side-fire light detection and ranging (LiDAR) Data

2021/12/11

Mecit Cetin
Mecit Cetin

H-Index: 14

Queue length estimation from connected vehicles with range measurement sensors at traffic signals

2021/9/19

Detecting empty and loaded platform semi-trailers using side-fire LiDAR data for supporting freight analysis

Case Studies on Transport Policy

2021/9/1

Mecit Cetin
Mecit Cetin

H-Index: 14

Ilyas Ustun
Ilyas Ustun

H-Index: 3

Travel patterns of frequent and non-frequent users on I-66 high-occupancy toll lanes and implications for the value of time estimation

Transportation research record

2021/9

Incorporating the 10th Edition Institute of Traffic Engineers (ITE) Trip Generation Rates Into Virginia Department of Transportation Guidelines

2021/8/1

Statistical analysis and comparison of optical classification of atmospheric aerosol lidar data

Transactions on Engineering and Computer Science

2021

Mecit Cetin
Mecit Cetin

H-Index: 14

Khan Iftekharuddin
Khan Iftekharuddin

H-Index: 28

What Is an Effective Way to Measure Arterial Demand When It Exceeds Capacity?

2021

Exploration of Corridor-Based Tolling Strategies for Virginia’s Express Toll Lanes

2021

See List of Professors in MECIT CETIN University(Old Dominion University)

Co-Authors

academic-engine