scholarly journals Using PAVER Software to Evaluate Pavement Condition Index of Highway Segment in the North Sector of Najaf City (Case Study)

2020 ◽  
Vol 978 ◽  
pp. 012012
Author(s):  
Khawla H.H. Shubber ◽  
Mohammed Noamman Mahdi
Keyword(s):  
Condition Index ◽  
Pavement Condition ◽  
The North ◽  
Pavement Condition Index

scholarly journals Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement.

2019 ◽  
Vol 258 ◽  
pp. 03019 ◽  
Author(s):  
Rijal Psalmen Hasibuan ◽  
Medis Sejahtera Surbakti
Keyword(s):  
Condition Index ◽  
International Roughness Index ◽  
Pavement Condition ◽  
The Road ◽  
Roughness Index ◽  
Pavement Condition Index ◽  
Local Roads ◽  
Actual Field ◽  
Two Parameters

Road is an infrastructure that built to support the movement of the vehicle from one place to another for different purposes. Today, it is often found damage to road infrastructure, both local roads, and arterial roads. Therefore, to keep the pavement condition to remain reliable, in Indonesia has a periodic program by conducting an objective functional inspection of roads regulated by Bina Marga using the International Roughness Index (IRI). However, the IRI examination is not sufficient to represent the actual field condition; it is necessary to perform subjective functional examination by appraising the road one of them is Pavement Condition Index (PCI, ASTM D 6433). This method has been widely applied in some countries because it has many advantages. However, to do this inspection requires considerable cost, then there needs to be a model to get the relationship between these two parameters of the road. The selected case study was arterial road segment in Medan City, that is in Medan inner ring road. Based on the results of the analysis, there is a difference between the functional conditions of PCI and IRI. The equation derived from these two parameters is by exponential regression equation, with equation IRI = 16.07exp-0.26PCI. with R2 of 59% with correlation coefficient value (r) of -0.768. The value of R2 indicates that PCI gives a strong influence on IRI value.

scholarly journals Assessment of Al-Amarah street within the Al-kut city using pavement condition index (PCI) and GIS technique

2018 ◽  
Vol 162 ◽  
pp. 01033
Author(s):  
Mohammed Al-Neami ◽  
Rasha Al-Rubaee ◽  
Zainab Kareem
Keyword(s):  
Condition Index ◽  
Pavement Management ◽  
Pavement Condition ◽  
The Road ◽  
Gis Technique ◽  
Gis Data ◽  
Pavement Condition Index ◽  
Specific Sign ◽  
Maintenance Process

The capabilities of geographical system and their spatial analysis is considered the most appropriate tools to enhance pavement management operations, with features such as graphical display of pavement condition. In Iraq, most of transportation agencies do not have a tool that is used as a database for road deteriorations, so there is a need for road surveying and storing the collected information in GIS to know the condition of every road with details. Furthermore, these data can be used for maintenance process and estimation of prior cost. This research has been carried out to estimate of flexible pavement condition through visual surveys using the Pavement Condition Index (PCI) method; so it can provide an easy way to calculate the PCI based on GIS data with Micro PAVER software 5.2. Al-Amarah Street, which is internal road in Al-Kut city in the eastern part of Iraq, is used as a case study. The average pavement condition index of the selected case study is found to be “64” using Micro PAVER 5.2 software which mean “Fair” pavement condition. Arc Map 9.3 has been applied in this study to make an integrated maintenance system for each road in the region demonstrating the annual road deteriorations and the resulting change in the PCI values which occurs every year. The study provides an easy and simplified way of presentation the details of deteriorations on the satellite or the geographical map of the road in which each type of distress has been symbolized with specific sign and each PCI value has been represented with specific color.

scholarly journals Use of Deep Learning to Study Modeling Deterioration of Pavements a Case Study in Iowa

2020 ◽  
Vol 5 (11) ◽  
pp. 95
Author(s):  
Seyed Amirhossein Hosseini ◽  
Ahmad Alhasan ◽  
Omar Smadi
Keyword(s):  
Short Term Memory ◽  
Weighted Average ◽  
Condition Index ◽  
The State ◽  
Pavement Management ◽  
Department Of Transportation ◽  
Pavement Condition ◽  
Process And Outcome ◽  
Pavement Condition Index

This paper describes the process and outcome of deterioration modeling for three different pavement types (asphalt, concrete, and composite) in the state of Iowa. Pavement condition data is collected by the Iowa Department of Transportation (DOT) and stored in a Pavement-Management Information System (PMIS). In the state of Iowa, the overall pavement condition is quantified using the Pavement Condition Index (PCI), which is a weighted average of indices representing different types of distress, roughness, and deflection. Deterioration models of PCI as a function of time were developed for the different pavement types using two modeling approaches. The first approach is the long/short-term memory (LSTM), a subset of a recurrent neural network. The second approach, used by the Iowa DOT, is developing individual regression models for each section of the different pavement types. A comparison is made between the two approaches to assess the accuracy of each model. The results show that the LSTM model achieved a higher prediction accuracy over time for all different pavement types.

scholarly journals EVALUATION OF FLEXIBLE PAVEMENT DAMAGE DEGREE WITH PAVEMENT CONDITION INDEX METHOD (CASE STUDY: ARGOPURO ROADS - BANYUWANGI STA. 0+000 TO STA. 2+600)

2018 ◽  
Vol 2 (01) ◽  
pp. 1
Author(s):  
Willy Kriswardhana ◽  
Dewi Junita Koesoemawati ◽  
Trio Sagita Susanto
Keyword(s):  
Condition Index ◽  
Index Method ◽  
Pavement Condition ◽  
The North ◽  
Damage Degree ◽  
Pavement Condition Index ◽  
Base Course ◽  
Extent Of Damage ◽  
Index Value ◽  
Pavement Damage

Argopuro Roads Banyuwangi Regency with a length of 2.6 km is a switching route for heavy vehicles and buses from the north of Banyuwangi to Jember. The increase in traffic volume from year to year as well as the construction of factories and warehouses along the roads resulted in a decrease in road capability to receive loads on it. To know the type and the extent of damage occurring on Argopuro Roads is done a research which will be able to determine the appropriate type of maintenance. The determination of road condition is done by Pavement Condition Index method (PCI). Road improvement is calculated by using the component analysis method from Department of Highways Regulation No. 378/KPTS/1987. Based on the result of research, the index value of pavement condition in survei by using PCI method is 58.07. The improvement of road is done in the segment with the failure condition to the fair with the handling of the improvement in the form of recontruction. Based on the calculation result in this research, it resulted that the pavement structure has thickness of 10 cm surface course, thickness of 25 cm base course, and thickness of 63 cm sub base course. Ruas Jalan Argopuro Kabupaten Banyuwangi dengan panjang ruas 2.6 km merupakan jalur pengalih untuk kendaraan berat dan bus dari arah utara kota Banyuwangi menuju Kota Jember. Adanya peningkatan volume lalu lintas dari tahun ke tahun serta pembangunan sejumlah pabrik dan gudang pada sepanjang ruas jalan tersebut mengakibatkan menurunnya kemampuan jalan untuk menerima beban di atasnya. Untuk mengetahui jenis dan tingkat kerusakan yang terjadi pada ruas Jalan Argopuro, dilakukan penelitian yang dapat menentukan jenis pemeliharaan yang sesuai. Penentuan kondisi jalan dilakukan dengan metode Pavement Condition Index (PCI). Perbaikan jalan dihitung dengan menggunakan metode analisa komponen dari peraturan Departemen Bina Marga Nomor 378/KPTS/1987. Berdasarkan hasil penelitian, nilai indeks kondisi pekerasan jalan yang disurvei dengan menggunakan metode PCI yaitu 58,07. Perbaikan jalan dilakukan pada segmen dengan kondisi gagal (fail) hingga sedang (fair) dengan penanganan perbaikan berupa rekonstruksi. Berdasarkan hasil perhitungan pada penelitian ini menghasilkan struktur perkerasan jalan dengan ketebalan tebal lapis permukaan 10 cm, tebal lapis pondasi atas sebesar 25 cm, dan tebal lapis pondasi bawah setebal 63 cm.

scholarly journals Evaluasi Kondisi dan Kerusakan Perkerasan Lentur Dengan Metode Pavement Condition Index (Pci) (Studi Kasus: Jalan Gunung Selatan Kota Tarakan Provinsi Kalimantan Utara)

2020 ◽  
Vol 3 (2) ◽  
pp. 81-96
Author(s):  
Muhammad Djaya Bakri
Keyword(s):  
Good Condition ◽  
Construction Materials ◽  
Condition Index ◽  
Pavement Condition ◽  
The Road ◽  
Transverse Cracking ◽  
The North ◽  
Road Pavement ◽  
Pavement Condition Index ◽  
Edge Cracking

The Gunung Selatan Road is a road of secondary collector with the class of road is IIIB, has a width of 6.0 meters and a length of 4.109 km, has an important role in driving the economy and connecting sub-districts in the north and west with sub-districts in the central and eastern parts of the city of Tarakan. The use of this road is directed to serve the transportation of construction materials which generally have a load to overloading which has the potential to cause damage to the road. This study aims to assess the condition of road pavement, using the method of the Pavement Conditition Index (PCI). Observation areas along the road segment are divided into road segments or sample units of observation with a width of 6.0 meters and a length of 50 m, so that the size of each segment of 300 m 2 is obtained, with a total of 40 road sample units. The types of damage found at the time of observation include: alligator crack, bleeding, block cracking, corrugation, depression, edge cracking, longitudinal/transverse cracking, patching and utility cut patching, pothole, and weathering/raveling. The average assessment results show the road is in criteria is very good condition with a value of PCI = 71, but there is one observation that gives a criteria is poor, namely the sample unit at Sta. 1 + 350 to 1 + 400 with a PCI value of 29.5. This happened, at the time of observation the field condition was damaged and was being repaired.

scholarly journals Evaluation of pavement condition index by different methods: Case study of Maringá, Brazil

2020 ◽  
Vol 4 ◽  
pp. 100100 ◽  
Author(s):  
Jéssica Marcomini Pinatt ◽  
Marcelo Luiz Chicati ◽  
Jesner Sereni Ildefonso ◽  
Cláudia Regina Grégio D'arce Filetti
Keyword(s):  
Condition Index ◽  
Pavement Condition ◽  
Pavement Condition Index
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