Toll Road is an important instrument in people's lives because it can shorten travel time, cut travel costs, economic growth in the area. This makes the Toll Road the main choice for people to travel. The economic growth of an area causing the growth of industrial estates is in line with the growth of vehicles and the vulnerability of vehicles that are classified as excessive loads. Jakarta-Cikampek toll road passes through an industrial area that allows overload vehicles pass the section. Excessive load vehicles will damage the road and reduce the life of previously designed plans. This study aims to find out the impact caused by excessive load vehicles on the age of the road plan and evaluate the need for thick road pavement due to excessive load vehicles. Based on the calculation of the remaining age of the pavement obtained the results for vehicle overload by 3.21% with the remaining life of the pavement by 6 months. Meanwhile, for the remaining age in vehicle overload group 6B in 2032 by 3.48%. Then for the calculation of the thickness of the pavement needed obtained a result of 35 cm. Based on these results, it can be concluded that excessive vehicles have an impact on the pavement of the toll road. Keywords: Excessive Load Vehicles, Pavement Thickness, The Lifespan of Pavement.

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Semarang ABC toll road is an inner-city toll road of Semarang connecting the West, East, and South areas of Semarang City. The toll road is a crucial road for land transportation in Java and yet passed by many overloaded and over-dimension vehicles. Overloaded and over-dimension vehicles (ODOL) on toll roads is categorized as a traffic violation that harms various parties such as disrupting the smooth traffic flow due to low speeds and affecting toll road maintenance costs due to ODOL vehicle loads, and Accident rates involving overloaded vehicles. This study aims to examine the effect of ODOL vehicles on the Accident rate on toll road. The study used a regression test with SPSS software. The results of the study show there is an influence between ODOL vehicles and the level of traffic accidents on toll road by 32%. From the JM Digimap application, case studies of accidents involving ODOL vehicles on toll road can disrupt the smooth traffic flow and reduce the average passing speed by up to 12%. Keywords: Accident Rates, Over-dimension, Overloading, Traffic Violation.

The rainfall-runoff modeling is needed to fill in the data or make the data longer. Some method can be used for forecast rainfall processing or runoff like sacramento or artificial neural network (ann). The ann is one of artificial intelligent that is an artificial representation of human’s brain which always try to simulation learning process of its. This model is a black box model, so implementation did not need complect science between many aspects in rainfall-runoff happened process. The case study on the upstream of citarum river basin (saguling dam). The data used are a rainfall data (11 rain station) , inflow and sediment rate of month during 19 years from 1986 up to 2004. Rainfall data is input and inflow rate is target output. This research use sacramento and reduced gradient method. The result for training step sacramento’s method the correlation is 81 % and reduced gradient’s method the correlation is 99 %. For testing sacramento ‘s method the correlation is 83.22 % and reduced gradient’s method alternative 2 with four hidden node gives the correlation is 65.57 %. For the next step especially the artificial neural network method still need improvement so that the artificial neural network can be used for modeling of rainfall runoff process. Keywords : rainfall runoff, sacramento, artificial neural network, hidden node, reduced gradient.

The Jakarta Outer Ring Road (JORR) Toll Road is a logistics route that acts as an essential transportation artery to facilitate logistics distribution. This toll road connects strategic locations to support logistics distribution. It can lead to the repetition of traffic loads, causing a decrease in the pavement quality marked by road damage. Road damage that occurs can reduce the level of safety and comfort of road users. To minimize accidents due to road damage, road users will drive their vehicles at lower speeds in locations/segments that have damage. In the study, the level of road damage was analyzed using the Pavement Condition Index (PCI) method. Vehicle speed using the time mean speed method and then statistically analyzed using linear regression using SPSS v.26 software to determine how much influence road pavement conditions have on vehicle speed. Based on the results of the analysis on the Jakarta Outer Ring Road (JORR) KM 35+000 – 45+000 toll road, the pavement conditions of the toll road are in the good category with various vehicle speeds for each group with a range of 44.80 km/hour to 79,98 km/hour and the effect of pavement conditions on vehicle speed is 51.6% for class 1 vehicle, 58,1% for class 2 vehicle, 42,2% for class 3 vehicle, 42,9% for class 4 vehicle, 44,8% for class 5 vehicle.