Abstract. Overloaded trucks phenomena generally common in developing countries where the traffic control is poor. In Indonesia, the percentage of overloaded trucks can reach more than 60% in the total number of trucks and may be one of the substantial factors that reduce the service life of the road pavements. This paper presents the analysis results of the weigh in motion survey data at East of Sumatera National Road (Jalintim) in Indonesia and the impact of overloaded trucks on the pavement. For the analysis the simplified approach was used, the axle loads were converted into representative single-axle loads based on 4th power formula by AASHTO 1993 equation. The vehicle damage factor of vehicles is presented and will be compared with the Highways National Standard to estimate the remaining service life of pavement and IRI value prediction. The analysis showed that the vehicle damage factor that determined from weigh in motion data is extremely greater than vehicle damage factor of the national standard in Indonesia which may lead to accelerated deterioration, reducing the service life of the pavement structures and significantly influence the IRI value.

Pre-Vulcanized Liquid Natural Rubber (PVLNR) modified asphalt leaves problems such as increasing the viscosity, thereby increasing the mixing and compaction temperature up to 175 °C, accelerating the ageing process. Therefore it is necessary to do developing methods using PVLNR at lower mixing temperatures requires warm-mix technology. This study aimed to evaluate the use of PVLNR modified asphalt in warm mix asphalt (WMA). Laboratory testing includes rheological modified asphalt, the workability analysis, Resilient Modulus and Deformation. The results showed that the PVLNR content decreased penetration increased the softening point and asphalt viscosity. In addition, additive Rediset LQ plays a role in reducing asphalt viscosity. The advantages of PVLNR modified asphalt are increasing elastic recovery, saving asphalt consumption and increasing the Modulus of hot mix asphalt rubber (HAR) and warm mix asphalt rubber (WAR). In addition, the Rutting resistance of WAR is better than that of HMA and WMA.

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Evaluation of the conditions of Jalan Soekarno Hatta using the PCI method shows that the most found is the condition of "Good" both on rigid and flexible pavement, with the percentage of each of them being 61.9% and 21.6%. Whereas by using the PSI method, the most commonly found are "Fair" conditions both in rigid and flexible pavement, with the percentage of each being 81% and 48,9%. Using the SDI method on the flexible pavement the most found is the condition of "Medium" with a percentage of 65,9%. The parametric analysis between PCI and PSI on rigid pavement produces R 2 = 0.0548 with a regression equation namely PCI = 96,9352 x PSI, while the PCI and PSI correlation on flexible pavement produces R 2 = 0.8163 with regression equation namely PCI = 27,673 + 16,848 x PSI., and the PCI and SDI correlations on flexible pavement yields R 2 = 0,8653 with a regression equation namely PCI = 94,663 -0,4462 x SDI The non-parametric analysis between PCI and PSI on rigid pavement produces a correlation coefficient of 0.043, while the PCI and PSI values on flexible pavements produce a correlation coefficient of 0.397, and the PCI and SDI values on flexible pavements produce a correlation coefficient of 0.492. Based on the two analysis methods both parametric and non parametric analysis the relationship between PCI and SDI was considered better than the PCI and PSI relationship because it produced a R 2 value and had greater correlation coefficient. AbstrakEvaluasi kondisi Jalan Soekarno Hatta dengan menggunakan metode PCI menunjukan bahwa yang paling banyak di temukan adalah kondisi "Good" baik pada perkerasan kaku maupun perkerasan lentur, dengan persentase masing-masing adalah 61,9 % dan 21,6 %. Sedangkan dengan menggunakan metode PSI yang paling banyak di temukan adalah kondisi "Fair" baik pada perkerasan kaku maupun perkerasan lentur, dengan persentase masingmasing adalah 81 % dan 48,9 %. Dengan menggunakan metode SDI pada perkerasan lentur yang paling sering di temukan adalah kondisi "Sedang" dengan persentase 65,9 %. Analisis parametrik antara PCI dan PSI pada perkerasan kaku menghasilkan nilai R 2 = 0,0548 dengan persamaan regresi yaitu PCI= 96,9352 x PSI, sedangkan korelasi PCI dan PSI pada perkerasan lentur menghasilkan nilai R 2 = 0,8163 dengan persamaan regresi yaitu PCI = 27,673 + 16,848 x PSI, dan korelasi PCI dan SDI pada perkerasan lentur menghasilkan nilai R 2 = 0,8653 dengan persamaan regresi yaitu PCI = 94,663 -0,4462 x SDI. Analisis non parametrik antara PCI dan PSI pada perkerasan kaku menghasilkan nilai koefisien korelasi sebesar 0,043 , sedangkan nilai PCI dan PSI pada perkerasan lentur menghasilkan nilai koefisien korelasi sebesar 0,397, dan nilai PCI dan SDI pada perkerasan lentur menghasilkan nilai koefisien korelasi sebesar 0,492. Berdasarkan kedua metode analisis baik analisis parametrik maupun non parametrik hubungan PCI dan SDI dinilai lebih baik dibandingkan hubungan PCI dan PSI karena menghasilkan nilai R 2 dan koefisien korelasi yang lebih besar.Kata Kunci: Pavement condition index, pres...