## 4 Results  
Since the application of the log data collection system in the field in October 2020, log data files have been continuously collected and uploaded to the cloud server. In this study, truck transport time analysis was performed using 500 log data files uploaded to the cloud server between 9 November 2020 and 21 February 2021 (15 weeks). As a result of analyzing log files uploaded from tablet computers installed on 10 trucks dispatched to haulage operations, a total of 49,876 log data were recorded; that is, the tablet computers installed on the trucks received signals from the Bluetooth beacons approximately 50,000 times. A total of 459 route combinations were automatically created using a log data processing program. However, these referred to all possible route combinations. Therefore, in this study, 46 route combinations that could be generated were analyzed by referring to the truck transport routes and the Bluetooth beacon installation schematic shown in Figure 3b. Figure 6: Classification of truck transport route types according to distribution and fluctuation of truck transport time data. Figure 7 shows the average transport time of trucks for each section when operating with empty or loaded trucks. When an empty truck ran, it was found that the truck transport time for each section tended to increase in proportion to the distance (Figure 7a). The average transport time of trucks was relatively small in sections with short distances (beacon IDs 3-5, 12-13, and 14-15). In sections with few slopes and straight lines (beacon IDs 1-2, 2-3, 8-8, and 10-11), the average transport time of trucks was also small despite the relatively long distances. In the section from the dumping area to the entrance of the mine, the transport time was relatively large because it included the ore dumping time. Moreover, because the two sections from beacon ID 19 (crusher 1) to the entrance (beacon IDs 1 and 10) were steeply inclined sections, the truck transport time was relatively large. The truck transport time tended to be proportional to the distance, even when the truck was operating with loaded ore. However, it was confirmed that in the section where the slope of the section was high or in the section that required careful driving, the transport time was large (beacon IDs 10-19, 17-18) even if the transport distance was relatively short. Table 3 shows the total average truck transport time from eight loading areas to four dumping areas. The average transport time of trucks from the loading area to the dumping area (loaded truck) or from the dumping area to the loading area (empty truck) was shown  
Figure 7: Average transport time of trucks by section for log data files collected over 15 weeks: (**a**) when operating with empty truck; (**b**) when operating with loaded truck. to vary. The reason for this variation was determined to be the difference in the slope of the transport route and the weight of the truck when loading the ores. Furthermore, the closer the distance between the loading and the dumping area, the shorter the total truck transport time corresponding to one cycle (empty truck's travel-loading-loaded truck's travel-dumping). In the study area, Areas D1 and D2 showed a short total truck transport time, and Areas B, E, and F showed a long time. In general, in the case of a loaded truck, it is expected that the driving speed will be slower and the driving time will be longer because of the increase in the weight of the loaded ore. However, in most cases, the truck transport time was longer when running with an empty truck. This is because the truck transport time was excessively measured by the time that the truck waits for loading in the section close to the loading area and the time generated by congestion in the tunnel.