Introduction: The road sediment delivery model (SEDMODL) and geographic information system were used to estimate the amount of average annual sedimentation caused by the forest roads network in the oak forests of the west of the country in Chaharmahal and Bakhtiari provinces. In this research, Bideleh forest roads in Lordegan County with a length of 5828 meters selected. The area maps including geology, road networks, slope, and rainfall and drainage density were prepared and digitized in the Arc GIS 10.8 software, and also during field visits, the type, age and traffic of the study roads were determined. The formules used in SEDMODL are based on mathematical and quantitative relationships between erosion factors such as the type of road, road traffic, and parent materials used in road construction, road surface condition, road longitudinal slope, vegetation cover, excavation trench, the amount of rainfall in the area and the distance from the waterway. Also, in this research, in order to measure the amount of erosion and sediment in the field, 30 erosion markers were installed in different parts of the study roads, and during one year, their changes were measured with the help of a laser meter with an accuracy of 0.02 mm. The average soil erosion was estimated 4 mm per year based on the measurements. According to the SEDMODL model, the amount of erosion in Bidleh road is 2068 tons per year and the amount of sedimentation is 234 tons per year according to the SEDMODL model. Also, the analysis of hot spots showed that 39.8% of Bideleh forest roads have very high erosion. Methodology Sediment production from a road is usually influenced by three types of water flow on the road surface, soil removal trench and roadside waterways. In fact, the model used in this research (SEDMODL) is based on these three factors (Akay et al. 2008). Therefore, the total precipitation in tons per year from each road section is calculated based on the equation 1. (Equation 1) Total Sediment (t/year) = (TS+CS)*Af In the above equation, TS is sediment production from road surface and roadside waterways, CS is sediment production caused by soil removal trench and Af is the age factor of the road. According to equation 2, TS is also affected by road length (Lr), road width (W), geological erosion rate (GEr), road surface material (Sf), traffic (Tf), road slope (Gf), rainfall. (Pf) and sediment delivery factor (Df). (equation 2) TS = Lr* Wr*GEr* Sf*Tf* Gf*Pf*Df Also, sediment production caused by soil removal trench CS according to equation 3, a function of geological erosion rate factors (GEr), vegetation and stone cover around the road (CSf), soil removal trench height (CSh), road length (Lr) and the sediment delivery factor (Df). (equation 3) CS = GEr*CSf*CSh* Lr*Df Sediment production of the road during the first and secondry years of construction until the excavation trench and embankment pile is properly fixed by vegetation has its maximum amount. In SEDMODL, the effect of the road age factor (Af) is 10 in the first year of construction and 2 after two years. The values for other erosion factors was obtained from the provided tables of the model which were calculated based on previous researches (Akay et al. 2008; Naghdi et al. 2017). For field measurement of erosion on the forest road, 30 wooden rods were installed around the road. The wooden rods were installed in the sections perpendicular to the road in different conditions of geology, vegetation and the slope of the road and on both sides of the road at intervals of 5 meters, 15 meters and 25 meters. Then, the height of each rod was measured using a laser meter with an accuracy of 0.02 mm. The height of each rod was measured in 5 times and the average of these values was determined as the height of the rod in each stage. Results: Chaharmahal and Bakhtiari province with an area of about 1,632,835 hectares is located between 31◦ 9′ to 32◦ 48′ north latitude and 49◦ 28′ to 51◦ 25′ east longitude. Bidele road is located 30 kilometers west of Lordegan city and in the western part of Bideleh village of this city. The length of road study is 5828.6 meters. This road has the dirt and sand bed, with an average width of 4.5 meters and extends in a forested and mountainous area in order to access telecommunication towers and power transmission lines. In this research, the required maps including geology, road, slope, rainfall and waterway network were prepared by using topography, geology, satellite images and field visits related to relevant organizations. In the next stage, during field investigations, factors such as road surface, traffic, height of excavation trench were extracted. The digital layer of waterways was extracted from the existing topographical map in the area and possible errors were corrected by field controles. Also, the slope map of the area was determined using the digital elevation model prepared from the topographic layer. In order to prepare the precipitation map, the rainfall annual average near the roads was used and the annual precipitation layer was prepared for each region. In this way, the geological erosion rate factor GEr, the traffic factor Tf, the road slope factor Gf, the precipitation factor Pf, the sediment delivery factor Df, the vegetation and stone cover factor around the road CSf and the height factor of the excavation trench Chf for the study road of Bideleh were calculated as vectors and was determined numerically. Based on the prepared factors related to the model that was prepared digitally and on the study road, finally, the sediment production of the road surface and the sediment production of the excavation trench were determined and extracted separately (Table 1).... Discussion & Conclusions: In order to study and investigate the role and influence of the measured parameters and input to the model on the rate of erosion, Pearson's correlation test was used and its results are presented in Table (2). As the results of the statistical correlation test show, there is the strongest significant correlation between the erosion rate of the whole road with geological factor, road width and precipitation factor. As it was mentioned, with the construction of the road, the vegetation and soil of the areas around the road will also change due to soil removal. To compensate these changes and return to the initial conditions, the ecosystem needs time. It is obvious that the longer the life of these changes, the closer the ecosystem is to a stable state, and the amount of soil erosion and destruction is less.... This tool is used for points that have a numerical characteristic (such as the rate of soil erosion or sedimentation) or the weight of complications. The result will be a map that shows hot and cold spots that have significant statistical characteristics. Analyzes are based on Getis ord GI statistics. In this research, this analysis was used to identify areas with high erosion rates (hot spots of road erosion). Also, the results of this part of the research showed that with a confidence level >95%, 39.8% (2321 meters) of the road is identified as areas with high erosion production and as hot spots. Based on the prepared maps in this part of the work, it was found that the soil erosion rate is higher in the areas with high slope and geologically sensitive, and these parts play the biggest role in the production of sediment in the area. [ABSTRACT FROM AUTHOR]