Performance Modeling of Kaligawe Road in Semarang Using Markov Chains

Neo Teknika: Jurnal Ilmiah Teknologi

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Title Performance Modeling of Kaligawe Road in Semarang Using Markov Chains
 
Creator Sulistyowati, Sulistyowati
Soehartono, Soehartono
 
Description here are two kinds of pavement performance modeling, deterministic and stochastic.Among the stochastic modeling, Markov Chains receives a considerable attention ( PerezAcebo et al. 2017 ). Modeling pavement performance using Markov Chains were aboutdeveloping Transition Probability Matrix (TPM) and present state vector. A model thencan be developed by multiplying these two factors. This paper aimed to model pavementperformance of a rigid pavement road. The object was Kaligawe road. Kaligawe road is inthe northern part of the city of Semarang. It is a 6 km long and 15 meter wide road,divided into two lanes. There were two pavement performance models in this paper; thefirst one compared the real IRI data and the predicted one. The second model predictedIRI values using July’17 IRI data for the next two cycle times. The first model suggested anew IRI data should be used if there was a Maintenance and Rehabilitation work (M&Rwork) before. The second model showed that the accuracy of the prediction was not reach100%, it can be seen from the gap between the real total number of no M&R work sectionand the predicted one.Keywords :PavementPerformanceModeling; RigidPavement; MarkovChains
 
Publisher Universitas Pandanaran
 
Contributor
 
Date 2019-06-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artikel yang dipeer-review
 
Format application/pdf
 
Identifier http://jurnal.unpand.ac.id/index.php/NT/article/view/1382
10.32132/neoteknika.v5i1.1382
 
Source NEO TEKNIKA; Vol 5, No 1 (2019): Jurnal Neo Teknika Vol 5 No.1 Juni 2019
Neo Teknika; Vol 5, No 1 (2019): Jurnal Neo Teknika Vol 5 No.1 Juni 2019
2502-7662
2442-6504
10.32132/neoteknika.v5i1
 
Language eng
 
Relation http://jurnal.unpand.ac.id/index.php/NT/article/view/1382/1349
10.32132/neoteknika.v5i1.1382.g1349
 
Rights ##submission.copyrightStatement##
 

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