• International Journal of Highway Engineering
• /
• v.13 no.3
• /
• pp.131-137
• /
• 2011

The development of underground space essentially leads to increase in construction cost and installation of a large structure also acts as a factor deteriorating fine sight of the city. Accordingly, there recently is a trend to make city center structures light and small if possible. In this study, for efficient development of underground space, we analyzed the change in the average delay time in comparison to the existing underpass and the influence thereof using a microscopic simulation software VISSIM 5.20 after controlling heavy vehicles not to use the underpass and to detour using the intersection above the underpass, and gradually increasing the ratio of heavy vehicles in accordance with v/c of the access road in order to examine efficiency of introducing an underpass exclusive to small cars at an underground road installed and being operated in a city road area, and presented installation standard for underpass exclusive to small vehicles adequate to the traffic characteristics. Considering the findings of the study, introduction of underpass exclusive to small cars judged to be beneficial in the aspects of reduction in the economic loss resulting from land purchase, environmental damage due to construction of large traffic structures and environment-friendly green traffic.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.5
• /
• pp.9-15
• /
• 2023

In this paper, we propose a method predicting the speed of each lane from the link speed using a neural network. We took three measures for configuring learning data to increase prediction accuracy. The first one is to expand the spatial range of the data source by including 14 links connected to the beginning and end points of the link. We also increased the time interval from 07:00 to 22:00 and included the data generation time in the feature data. Finally, we marked weekdays and holidays. Results of experiments showed that the speed error was reduced by 21.9% from 6.4 km/h to 5.0 km/h for straight lane, by 12.9% from 8.5 km/h to 7.4 km/h for right turns, and by 5.7% from 8.7 km/h to 8.2 km/h for left-turns. As a secondary result, we confirmed that the prediction accuracy of each lane was high for city roads when the traffic flow was congested. The feature of the proposed method is that it predicts traffic conditions for each lane improving the accuracy of prediction.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.6
• /
• pp.29-41
• /
• 2017

In this study, we used individual trip data to estimate a macroscopic fundamental diagram (MFD) that relates flow (or production) to density (or state) in Daegu metropolitan city. The individual trip data were generated by processing data that were collected from DSRC-based (dedicated short range communication) traffic data collection system. Using the processed individual trip data, we first examined whether the assumptions for MFD are valid, and then the relation between outflow and accumulation was estimated in our study site. As a result, we found that i) the assumptions are valid to construct MFD; and ii) the reproducible and well-defined MFDs exist in the network level.