Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool

Name: Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool
Author: Bartın, Bekir Oğuz, Demiroluk, S., Ozbay, K., Jami, Mojibulrahman

İsim	Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool
Yazar	Bartın, Bekir Oğuz, Demiroluk, S., Ozbay, K., Jami, Mojibulrahman
Basım Tarihi:	2022
Basım Yeri	- Sage
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0361-1981
Kayıt Numarası	e4533cd9-af87-4ce9-af73-24066e2049df
Lokasyon	Civil Engineering
Tarih	2022
Notlar	NJDOT (FHWA-NJ-2017-001) ; C2SMART, a Tier 1 UTC at New York University
Örnek Metin	This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyses roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.
DOI	10.1177/03611981211036364
Cilt	2676

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool

Yazar Bartın, Bekir Oğuz, Demiroluk, S., Ozbay, K., Jami, Mojibulrahman

Basım Tarihi 2022

Basım Yeri - Sage

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0361-1981

Kayıt Numarası e4533cd9-af87-4ce9-af73-24066e2049df

Lokasyon Civil Engineering

Tarih 2022

Notlar NJDOT (FHWA-NJ-2017-001) ; C2SMART, a Tier 1 UTC at New York University

Örnek Metin This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyses roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.

DOI 10.1177/03611981211036364

Cilt 2676