scholarly journals Aplikasi Metode PCI (Pavement Condition Index) Dalam Mengukur Tingkat Kerusakan Jalan dan Pengaruhnya Terhadap Kecepatan Kendaraan

2020 ◽  
pp. 17-22
Author(s):  
S.N. Ahmad ◽  
M.T. Azikin ◽  
A.S. Sukri ◽  
R. Balaka
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Condition Index ◽  
City Government ◽  
Value Analysis ◽  
Pavement Condition ◽  
The Road ◽  
Goods And Services ◽  
Pavement Condition Index ◽  
Average Damage

The existence of a smooth highway is needed to speed up the process of transporting people, goods and services and shortening the travel time. If the road is damaged, it will result in a decline in the economy in an area. In an effort to improve road performance, it is necessary to know the level of damage and the type of damage to the road. This study will discuss the existing conditions of Durian Anduonohu and Manunggal roads based on visual observations and analyzed using the Pavement Condition Index (PCI) method, specifically for measuring vehicle speed, the moving car observer method is used. The final result of this research is the level of damage and type of road damage on Durian Anduonohu road, quite severe with a PCI value ranging from 30-67 with an average damage of 39% meaning bad conditions, with the equation from the regression analysis the following regression model results are obtained: Y = (1,390)*(0.056) x which means that there is an effect of the level of damage to the road on the speed of the vehicle at each additional PCI value. Analysis of the level of damage and types of damage to the Manunggal road segment with PCI values ranging from 41-55 with an average damage of 42%, which means that the road damage is in moderate condition (Fair), with the equation of the regression analysis the following Regression model results are: Y=(1.356))(0.044) x which means that there is an effect of the level of damage to the road on the speed of the vehicle at each additional PCI value. This research is expected to be a barometer of the Kendari city government or related agencies in trying to overcome or repair the two roads so that the flow of people, goods and services runs smoothly and the economy of the city of Kendari can continue to increase.

scholarly journals ANALISIS TINGKAT KERUSAKAN JALAN DAN PENGARUNYA TERHADAP KECEPATAN KENDARAAN (STUDI KASUS: JALAN BLANG BINTANG LAMA DAN JALAN TEUNGKU HASAN DIBAKOI)

2018 ◽  
Vol 1 (3) ◽  
pp. 617-626
Author(s):  
Intan Wirnanda ◽  
Renni Anggraini ◽  
Muhammad Isya
Keyword(s):  
Regression Analysis ◽  
Condition Index ◽  
Road Surface ◽  
Road Segment ◽  
Primary Data ◽  
Vehicle Speed ◽  
Pavement Condition ◽  
The Road ◽  
Road Condition ◽  
Pavement Condition Index

Abstract: Abstract:Damage that occurs on some road segment causing huge lossed, especially for road users such as a long travel time, traffic jam, incident, and etc. In general there variety factor that caused of road damage such as age of the road that has been passed, puddle onthe road surface that cannot flow due to the poor drainage, trafic load excessively repetitive (overloaded). Which can cause life time is shorter than planning. Improper planning, poor monitoring and the implementation is not accordance with the existing plan, in addition to the lack of maintenance costs, delays in budget spending and priorities of improper handling also be the cause. It should be noted in order to avoid decreased in the quality of roads due to damage on road surface. The purpose of this study is to determined damage of the road extent/level using PCI method (Pavement Condition Index), determined the effect of road damage to the speed of vehicle using Regression Analysis method. This research take location in the road segment of Blang Bintang Lama road, and Teungku hasan Dibakoi each road is divided into 7 that being reviewed according to the level of damage. Primary data collected by field actual survey in the form of geometric data, extensive damage to the road, and vehicle speed. The results showed that damage of the road is very affected on the vehicle speed as seen on Blang Bintang Lama in V segment the value of PCI is 10 with failed condition and vehicle speed just reached 5.31 Km/h, while in VII segment PCI value is 87 with perfect road condition (excellent) vehicle speed reached to 58.34 Km/h, so that the equation obtained by regression analysis of Y = (3,571)(0,032) ͯ, while for segment in Teungku Hasan Dibakoi road as seen in III Segment PCI value is 4 with failed condition with vehicle speed just 4.95 Km/h, while in the VII segment PCI value is 88 with perfect road condition (excellent) vehicle speed reached to 68.64 Km/h, so the equation obtained by regression analysis of Y is Y= (3,822)(0,035) ͯ. This suggests that higher levels of road damage will affected to slower speed of vehicle, otherwise the lower level of damage road, will make the higher speed of vehicle.Abstrak: Kerusakan jalan yang terjadi di beberapa ruas jalan menimbulkan kerugian yang sangat besar terutama bagi pengguna jalan seperti waktu tempuh yang lama, kemacetan, kecelakaan, dan lain-lain. Secara umum penyebab kerusakan jalan ada berbagai sebab yaitu umur rencana jalan yang telah dilewati, genangan air pada permukaan jalan yang tidak dapat mengalir akibat drainase yang kurang baik, beban lalu lintas berulang yang berlebihan (overloaded) yang menyebabkan umur pakai jalan lebih pendek dari perencanaan. Perencanaan yang tidak tepat, pengawasan yang kurang baik dan pelaksanaan yang tidak sesuai dengan rencana yang ada, selain itu minimnya biaya pemeliharaan, keterlambatan pengeluaran anggaran serta prioritas penanganan yang kurang tepat juga menjadi penyebabnya. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan. Tujuan penelitian ini adalah untuk menentukan tingkat dan jenis kerusakan jalan dengan menggunakan metode PCI (Pavement Condition Index), mengetahui pengaruh kerusakan jalan terhadap kecepatan kendaraan dengan menggunakan metode Analisis Regresi. Penelitian ini mengambil lokasi pada ruas Jalan Blang Bintang Lama dan ruas Jalan Teungku Hasan Dibakoi yang masing-masing jalan terbagi atas 7 segmen yang ditinjau menurut tingkat kerusakannya. Pengumpulan data primer dilakukan dengan survey aktual lapangan yaitu berupa data geometrik jalan, luas kerusakan jalan, dan kecepatan kendaraan. Hasil penelitian menunjukkan bahwa kerusakan sangat berpengaruh terhadap kecepatan kendaraan seperti yang terlihat pada ruas jalan Blang Bintang Lama pada segmen V dengan nilai PCI 10 kondisi jalan gagal (failed) dengan kecepatan kendaraan mencapai 5,37 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 87 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 58,34 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,571)(0,032) ͯ, sedangkan untuk ruas Jalan Teungku Hasan Dibakoi terlihat pada segmen III nilai PCI 4 kondisi jalan gagal (failed) dengan kecepatan mencapai 4,95 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 88 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 68,64 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,822)(0,035) ͯ. Hal ini menunjukkan bahwa semakin tinggi tingkat kerusakan jalan maka semakin rendah kecepatan kendaraan, sebaliknya semakin rendah tingkat kerusakan maka semakin tinggi kecepatan kendaraan.

scholarly journals STUDI KERUSAKAN JALAN DITINJAU DARI FAKTOR SETEMPAT (STUDI KASUS RUAS JALAN BLANGKEJEREN – LAWE AUNAN)

2018 ◽  
Vol 1 (3) ◽  
pp. 667-678
Author(s):  
Mulyadi Mulyadi ◽  
Muhammad Isya ◽  
Sofyan M. Saleh
Keyword(s):  
Traffic Safety ◽  
Condition Index ◽  
Road Surface ◽  
Primary Data ◽  
Soil Conditions ◽  
Pavement Condition ◽  
Local Factors ◽  
The Road ◽  
Pavement Condition Index ◽  
On The Road

Abstract: Blangkejeren - Lawe Aunan road conditions overall is on the slopes of the mountains which is strongly influenced by local environmental factors such as drainage, topography, soil conditions, material conditions and vehicle load conditions across the road. It should be noted in order to avoid a decrease in the road quality due to road surface damage that can affect the traffic safety, comfort and smoothness.. Therefore, it is necessary to study the evaluation of the condition of the damaged road surface and the local factors that affect the damage in order to avoid a decrease in the roads quality. This study took place on Blangkejeren - Lawe Aunan roads started from Sta. 529 + 700 - Sta. 535 + 206. Generally, the condition of roads in this segment were found damage that disturb the comfort, smoothness and safety of the roads users. In this study, the primary data obtained by actual surveys in the form of data field length, width, area, and depth of each type of damage as well as local factors that lead to such damage. Actual field surveys conducted along the 5.506 km, with the distance interval of each segment is 100 m. The secondary data obtained from the relevant institutions and other materials related to this research. This study analyzed the PCI method (Pavement Condition Index) to obtain the level of damage in order to know how to handle, while for the identification of the damage done by observation factors descriptively appropriate observation in the field such as the number of damage points. The results of this study found that the type of damage caused to roads is damage to the cover layer, a hole, and curly. This type of damage that commonly occurs on the road Blangkejeren - Lawe Aunan is damage to the edges with a percentage of 87.30%. The local factors that greatly affect drainage on the percentage of damage is 62.00%. PCI average value is 13.47 which indicates a very bad condition (very poor) and requires maintenance or improvement of reconstruction.Abstrak: Kondisi jalan Blangkejeren – Lawe Aunan secara keseluruhan berada di lereng pegunungan sangat dipengaruhi oleh faktor lingkungan setempat seperti drainase, topografi, kondisi tanah, kondisi material dan kondisi beban kendaraan yang melintasi jalan tersebut. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan sehingga dapat mempengaruhi keamanan, kenyamanan, dan kelancaran dalam berlalu lintas. Oleh karena itu, perlu dilakukan penelitian evaluasi terhadap kondisi permukaan jalan yang mengalami kerusakan serta faktor setempat yang mempengaruhi kerusakan tersebut agar tidak terjadi penurunan kualitas jalan. Penelitian ini mengambil lokasi di ruas jalan Blangkejeren – Lawe Aunan yang dimulai dari Sta. 529+700 - Sta. 535+206. Umumnya kondisi ruas jalan pada segmen ini banyak ditemukan kerusakan-kerusakan yang dapat mengganggu kenyamanan, kelancaran, dan keamanan pengguna jalan. Dalam penelitian ini data primer diperoleh dengan melakukan survei aktual lapangan yaitu berupa data panjang, lebar, luasan, dan kedalaman tiap jenis kerusakan serta faktor setempat yang mengakibatkan kerusakan tersebut. Survei aktual lapangan dilakukan sepanjang 5,506 km, dengan jarak interval setiap segmen adalah 100 m. Adapun data sekunder diperoleh dari lembaga terkait dan bahan lainnya yang berhubungan dengan penelitian ini. Penelitian ini dianalisis dengan metode PCI (Pavement Condition Index) untuk mendapatkan tingkat kerusakan agar diketahui cara penanganannya, sedangkan untuk identifikasi faktor kerusakannya dilakukan dengan pengamatan secara diskriptif sesuai hasil pengamatan di lapangan berupa jumlah titik kerusakan. Hasil penelitian ini didapatkan bahwa jenis kerusakan yang terjadi pada ruas jalan adalah kerusakan lapisan penutup, lubang, dan keriting. Jenis kerusakan yang umum terjadi pada ruas jalan Blangkejeren – Lawe Aunan adalah kerusakan tepi dengan persentase 87,30 %. Faktor setempat yang sangat mempengaruhi kerusakan adalah drainase dengan persentase 62,00%. Nilai PCI rata-rata yaitu 13,47 yang menunjukkan kondisi sangat buruk (very poor) dan memerlukan pemeliharaan peningkatan atau rekonstruksi.

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 the road based on PCI and IRI roadroid measurement

2018 ◽  
Vol 195 ◽  
pp. 04006 ◽  
Author(s):  
Donny A. Putra ◽  
Mamok Suprapto
Keyword(s):  
Good Condition ◽  
Visual Assessment ◽  
Condition Index ◽  
Assessment Method ◽  
Visual Methods ◽  
International Roughness Index ◽  
Pavement Condition ◽  
The Road ◽  
Roughness Index ◽  
Pavement Condition Index

There are two methods of road assessment, ie, visually and using tools. Visual assessment makes use of the PCI (Pavement Condition Index), while assessment with the Roadroid app can be used to obtain the value of IRI (International Roughness Index) with less cost. Functional assessment of roads in the field more use of visual methods. This method is influenced by the subjectivity of surveyors. Therefore, the assessment using the visual method should be correlated with the assessment method using tools, in order to reduce the subjectivity of road assessment. The research location used is Magetan District Road consisting of 5 road segments. The result shows that the r road assessment using the PCI method has a very good condition, and using IRI Roadroid has a Medium condition. There is a negative (r) correlation between PCI and IRI Roadroid, valued at -0.23. The negative correlation shows that both judgments reversed. Comparison of PCI assessment with IRI Roadroid has a low correlation value and with ttest, yields no comparison of correlation. This result is because the PCI and IRI equally assess the pavement, using different methods.

scholarly journals Pengaruh Kecepatan Kendaraan Terhadap Tingkat Kerusakan Jalan Menggunakan Metode PCI (Pavement Condition Index)

2020 ◽  
Vol 17 (2) ◽  
pp. 161-171
Author(s):  
Eko Prayitno
Keyword(s):  
Surface Condition ◽  
Condition Index ◽  
Traffic Load ◽  
Pavement Condition ◽  
The Road ◽  
Pavement Surface ◽  
Maintenance Program ◽  
Periodic Maintenance ◽  
Pavement Condition Index ◽  
Fair Poor

The pavement and pavement structure are structure consisting of one or several layers of processed materials, whose the function is to support the weight of the traffic load without causing significant damage to the construction. Pavement Condition Index (Pavement Condition Index) is the level of pavement surface condition and its size in terms of the power function that refer to the conditions and damage on the pavement surface that occurs. The Pavement Conditions Index or PCI is a numerical index that has values ​​ranging from 0 to 100 with criteria excellent, very good, good, fair, poor, very poor, and failed. The field study of this research is the road section starting from STA 310 + 000 up to 320 + 000. The assessment of road conditions according to the Pavement Condition Index (PCI), where the data was collected through field surveys. The types of damage on the ivory tip of the STA 310 + 000 - 320 + 000 are patches, crocodile cracks, holes, edge cracks, loose grains, waves and elongated cracks. Obtained pavement condition index (PCI) average is 34.6 with an assessment of the condition of road damage is bad (poor). Based on the PCI value the road is included in the periodic maintenance program.

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 Automated Pavement Distress Detection Using Image Processing Techniques

2021 ◽  
Vol 11 (5) ◽  
pp. 7702-7708
Author(s):  
I. H. Abbas ◽  
M. Q. Ismael
Keyword(s):  
Image Processing ◽  
Surface Damage ◽  
Condition Index ◽  
Asphalt Pavements ◽  
Pavement Condition ◽  
Pavement Distress ◽  
The Road ◽  
Automated Method ◽  
Pavement Condition Index ◽  
Processing Techniques

Pavement crack and pothole identification are important tasks in transportation maintenance and road safety. This study offers a novel technique for automatic asphalt pavement crack and pothole detection which is based on image processing. Different types of cracks (transverse, longitudinal, alligator-type, and potholes) can be identified with such techniques. The goal of this research is to evaluate road surface damage by extracting cracks and potholes, categorizing them from images and videos, and comparing the manual and the automated methods. The proposed method was tested on 50 images. The results obtained from image processing showed that the proposed method can detect cracks and potholes and identify their severity levels with a medium validity of 76%. There are two kinds of methods, manual and automated, for distress evaluation that are used to assess pavement condition. A committee of three expert engineers in the maintenance department of the Mayoralty of Baghdad did the manual assessment of a highway in Baghdad city by using a Pavement Condition Index (PCI). The automated method was assessed by processing the videos of the road. By comparing the automated with the manual method, the accuracy percentage for this case study was 88.44%. The suggested method proved to be an encouraging solution for identifying cracks and potholes in asphalt pavements and sorting their severity. This technique can replace manual road damage assessment.

scholarly journals EVALUASI KONDISI PERKERASAN JALAN DENGAN MENGGUNAKAN METODE PAVEMENT CONDITION INDEX (PCI) (STUDI KASUS RUAS JALAN BEUREUNUEN – BATAS KEUMALA)

2018 ◽  
Vol 1 (3) ◽  
pp. 761-768
Author(s):  
Yuswardi Ramli ◽  
Muhammad Isya ◽  
Sofyan M. Saleh
Keyword(s):  
Longitudinal Crack ◽  
Condition Index ◽  
Functional Condition ◽  
Primary Data ◽  
Pavement Condition ◽  
The Road ◽  
Periodic Maintenance ◽  
Pavement Condition Index ◽  
Length Width ◽  
Actual Field

Abstract: In order to accommodate the needs of movement with a certain level of service, it is necessary to make an effort to maintain the quality of road services, where one of these efforts is to evaluate the condition of the road surface. Based on the above condition, a research is needed in order to evaluate the condition of pavement in accordance with the type and level of damage by using PCI method.This research was aimed to know the functional condition of pavement on road of Beureunuen - Keumala Border. This research took place on the Beureunuen - Keumala road border which was divided into 2 segments; segment I (Km 7 + 000 s / d Km 9 + 000) and segment II (Km.13 + 000 s / d Km.15+ 000). The primary data collection was done with actual field survey data in the form of length, width, area, and depth of each type of damage that indicates the condition of the roads surface both minor and severe damages. This research was conducted by using Pavement Condition Index (PCI) methods. The results shows that the most common types of damage that occur on road of Beureunuen - Keumala Border are alligator crack, block crack, depression, corrugations, edge crack, rutting, longitudinal crack, patching, potholes, and raveling. Evaluation of damage on segment I of the road on Beureunuen - Keumala border gives result of the average PCI value on segment I of the road on Beureunuen - Keumala is 39,6 with bad condition. The average PCI value of Segment II is 24.7 with very bad condition. The type of maintenance required on road of Beureunuen-Keumala border is periodic maintenance on segment I and reconstruction on segment II.Abstrak: Agar dapat tetap mengakomodasi kebutuhan pergerakan dengan tingkat layanan tertentu maka perlu dilakukan suatu usaha untuk menjaga kualitas layanan jalan, dimana salah satu usaha tersebut adalah mengevaluasi kondisi permukaan jalan. Berdasarkan keadaan tersebut di atas, maka diperlukan penelitian untuk mengevaluasi kondisi perkerasan jalan sesuai dengan jenis dan tingkat kerusakan dengan menggunakan metode PCI. Tujuan penelitian ini adalah untuk mengetahui kondisi fungsional perkerasan pada ruas jalan Beureunuen – Batas Keumala. Penelitian ini mengambil lokasi di ruas jalan Beureunuen – Batas Keumala yang terbagi atas 2 segmen dengan segmen I (Km. 7+000 s/d Km. 9+000) dan segmen II (Km.13+000 s/d Km. 15+000). Pengumpulan data primer dilakukan dengan survei aktual lapangan yaitu berupa data panjang, lebar, luasan, serta kedalaman tiap jenis kerusakan yang menunjukan skala kondisi permukaan jalan dari keadaan rusak ringan sampai rusak berat. Penelitian ini dilakukan dengan Pavement Condition Index (PCI). Hasil penelitian menunjukkan bahwa jenis kerusakan yang umum terjadi pada ruas jalan Beureunuen – Batas Keumala adalah retak kulit buaya, retak blok, keriting, retak pinggir, alur, retak memanjang, tambalan, lubang dan pelepasan butir. Evaluasi kerusakan pada segmen I ruas jalan Beureunuen – Batas Keumala memberikan hasil berupa nilai PCI rata-rata pada segmen I ruas jalan Beureunuen – Batas Keumala adalah 39,6 dengan kondisi buruk. Nilai PCI rata-rata Segmen II sebesar 24,7 dengan kondisi sangat buruk. Jenis penanganan yang diperlukan pada ruas jalan Beureunuen – Batas Keumala, adalah pemeliharaan berkala pada segmen I dan rekonstruksi pada segmen II.

Statistical Analysis of Automated versus Manual Pavement Condition Surveys

2005 ◽  
Vol 1940 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Jason M. McQueen ◽  
David H. Timm
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Regression Analysis ◽  
Condition Index ◽  
Pavement Management ◽  
Severity Level ◽  
Pavement Condition ◽  
Condition Rating ◽  
Pavement Condition Index ◽  
Level 3

The Alabama Department of Transportation (ALDOT) has used a vendor to perform automated pavement condition surveys for the Alabama pavement network since 1997. In 2002, ALDOT established a quality assurance (QA) program to check the accuracy of the automated pavement condition data. The QA program revealed significant discrepancies between manual and automatically collected data. ALDOT uses a composite pavement condition index called pavement condition rating (PCR) in its pavement management system. The equation for PCR was developed in 1985 for use with manual pavement condition surveys; however, ALDOT continues to use it with data from automated condition surveys. Since the PCR equation was developed for manual surveys, the discrepancies between the manual and automated data led ALDOT to question the continuity between its manual and automated pavement condition survey programs. A regression analysis was completed to look for any systematic error or general trends in the error between automated and manual data. Also, Monte Carlo simulation was used to determine which distress parameters most influence the PCR and whether they require more accuracy. The regression analysis showed the following general trends: automated data overreport outside wheelpath rut depth, under-report alligator severity Level 1 cracking, and overreport alligator severity Level 3 cracking. Through Monte Carlo simulation, it was determined that all severity levels of transverse cracking, block cracking, and alligator cracking data require greater accuracy.

scholarly journals Analysis of the Damage of Rigid Pavement Road by Using Pavement Condition Index (PCI)

2020 ◽  
Vol 1 (2) ◽  
pp. 193-202
Author(s):  
Muhammad Isradi ◽  
Zaenal Arifin ◽  
Asep Sudrajat
Keyword(s):  
Good Condition ◽  
Industrial Area ◽  
Condition Index ◽  
Rigid Pavement ◽  
Pavement Condition ◽  
The Road ◽  
Road Pavement ◽  
Road Users ◽  
Repair Costs ◽  
Pavement Condition Index

Bogasari Road, which is located in Citeureup sub-district, Bogor Regency, within the PT Indocement Tunggal Prakarsa industrial area, is a road that uses rigid pavement. The road is always passed by heavily loaded vehicles that affect road pavement conditions and the level of comfort and safety for road users. The study's purpose is to determine the average daily traffic volume, determine the value of conditions in the rigid pavement, and provide input to relevant agencies in terms of solutions and road repair costs. The method used in the analysis is the Pavement Condition Index (PCI). The study shows the average daily traffic of 2,883 vehicles/hour/day and the average pavement condition value of 66.57 with a good rating, or in good condition. It also provides a method of repair by functional means.

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