Estimating Roadway Horizontal Alignment from Geographic Information Systems Data: An Artificial Neural Network

Estimating Roadway Horizontal Alignment from Geographic Information Systems Data: An Artificial Neural Network–Based Approach

Published:2023-11 Issue:4 Volume:149 Page:
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Bartin Bekir¹,Jami Mojibulrahman²,Ozbay Kaan³

Affiliation:

1. Associate Professor, Dept. of Civil Engineering, Ozyegin Univ., Nisantepe Mah. Orman Sok. No. 34-36, Cekmekoy, Istanbul 34794, Turkey.

2. Ph.D. Candidate, Dept. of Civil Engineering, Ozyegin Univ., Nisantepe Mah. Orman Sok. No. 34-36, Cekmekoy, Istanbul 34794, Turkey (corresponding author).

3. Professor and Director, Dept. of Civil and Urban Engineering and C2SMARTER Center (Tier 1 UTC funded by USDOT), New York Univ., 6 MetroTech Center 4th Floor, Brooklyn, NY 11201.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JSUED2.SUENG-1439

Reference35 articles.

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2. Automatic Horizontal Curve Identification and Measurement Method Using GPS Data

3. Automatic road extraction from high resolution imagery based on statistical region merging and skeletonization;Anil P. N.;Int. J. Eng. Sci. Technol.,2010

4. Automatic Identification of Roadway Horizontal Alignment Information Using Geographic Information System Data: CurvS Tool

5. Bartin B. M. Jami and K. Ozbay. 2021. “Estimating roadway horizontal alignment using artificial neural network.” In Proc. IEEE Conf. on Intelligent Transportation Systems 2245–2250. New York: IEEE.

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