Determining road surface conditions using smartphone data

Name: Saroch Boonsiripant

Organization : Kasetsart University. Faculty of Engineering

Name: Kwankamon Dittakan

Organization : Prince of Songkhla University. College of Computing

Name: Korawit Prutsachainimmit

Organization : Prince of Songkhla University. College of Computing

Name: Patiphol Rujipattanapong

Organization : Mobinary Co.

Email : patiphol@mobinary.org

keyword: International Roughness Index

LCSH: Roads -- Surfaces

; Long short-term memory

Abstract: The road network infrastructure in Thailand is undergoing consistent and continual expansion annually. The importance of maintaining road surface in a good condition has become a vital concern due to the budget constraints and the road safety. One of the crucial tasks in maintaining roadways is the effective road monitoring system. The monitoring equipment such as laser profiler is costly, and the road authorities and municipalities usually do not have a sufficient budget to monitor their whole network. With the advancement of the internet of things (IoTs) device and the wide adoption of the smart phone, it is possible to collect several types of data at a low cost, such as speed, acceleration, location, and road surface images. This paper explores the possibility of using the smartphone to determine the road quality at the low cost. This study aims to develop a statistical model that can estimate the international roughness index (IRI) of the road surface using data collected from smartphones. The data in this study were collected using the smartphones installed inside the Department of Highway (DOH)'s survey vehicles. Fifty nine point six (59.6) km of IRI and acceleration data were collected in Nakhon Sawan. The Long short-term memory (LSTM) model was used to determine the relationship between the IRI and the acceleration collected from the smartphone. Models developed in this study can potentially contribute to comprehensively collecting IRI data at a reduced cost.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2023-09-06

Issued: 2023-09-06

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BibliograpyCitation : ใน วิศวกรรมสถานแห่งประเทศไทย ในพระบรมราชูปถัมภ์ ร่วมกับ สาขาวิชาวิศวกรรมโยธาและสิ่งแวดล้อม คณะวิศวกรรมศาสตร์ มหาวิทยาลัยสงขลานครินทร์. การประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 28 (NCCE 28) (TRL74). ภูเก็ต : มหาวิทยาลัยสงขลานครินทร์

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