• Spatial Information Research
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• v.23 no.4
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• pp.79-89
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• 2015

This study aims to design and implement a traffic model that can simulate the traffic behavior on the microscopic level by using the GIS. In the design of the model, the vehicle in the simulation environment recognizes the GIS road centerline data as road network data reflecting number of lanes, speed limit and so on. In addition, the behavior model was designed by dividing functions into the environmental perception model, time headway distribution model, car following model, and lane changing model. The implemented model was applied to Jahamun-road of Jongno-gu district to verify the accuracy of the model. As a result, the simulation results on the Jahamun-road had no great error compared with the actual observation data. In the aspect of usability of model, it is judged that this model will be able to effectively contribute to analysis of amount of carbon emission by traffic, evaluation of traffic flow, plans for location of urban infrastructure and so on.

• Tunnel and Underground Space
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• v.9 no.3
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• pp.214-220
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• 1999

In this study, the validity of items of RMR system is evaluated and the applicability of this system to the data measured in Korean sites if discussed. Database was constructed from 139 sites, which are composed of subways, railway tunnels and road tunnels. These sites are located nationwide. Analysis shows that original classification of Bieniawski is valid although it was derived empirically. But it has considerable rating difference (error) in the result of Korean application. Thus new classification systems of KRMRI and KRMR2 are suggested, which are deduced from the Korean database. The former includes adjusted ratings and the latter adopts two more items. These are deduced by artificial neural network because it is difficult to select \`characteristic value'to estimate rock quality.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.31-48
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• 2023

The popularization of smart devices and subsequent optimization of their sensing capacity has resulted in a novel mobile crowdsensing (MCS) pattern, which employs smart devices as sensing nodes by recruiting users to develop a sensing network for multiple-task performance. This technique has garnered much scholarly interest in terms of sensing range, cost, and integration. The MCS is prevalent in various fields, including environmental monitoring, noise monitoring, and road monitoring. A complete MCS life cycle entails task allocation, data collection, and data aggregation. Regardless, specific drawbacks remain unresolved in this study despite extensive research on this life cycle. This article mainly summarizes single-task, multi-task allocation, and space-time multi-task allocation at the task allocation stage. Meanwhile, the quality, safety, and efficiency of data collection are discussed at the data collection stage. Edge computing, which provides a novel development idea to derive data from the MCS system, is also highlighted. Furthermore, data aggregation security and quality are summarized at the data aggregation stage. The novel development of multi-modal data aggregation is also outlined following the diversity of data obtained from MCS. Overall, this article summarizes the three aspects of the MCS life cycle, analyzes the issues underlying this study, and offers developmental directions for future scholars' reference.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1999-2007
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• 2013

The key characteristics of two-lane-and-two-way traffic flow are platoon and overtaking caused by low-speed vehicle such as truck. In order to develop two-way traffic flow model comprised of CF(car-following) and overtaking model, it is essential to develop a car-following model which is suitable to two-way traffic flow. Short distance between vehicles is caused when a high-speed vehicle tailgates and overtakes foregoing low-speed vehicle on two-way road system. And a vehicle following low-speed vehicle decides to overtake the front low-speed vehicle using suitable space within the headway distribution of opposite traffic flow. For this reason, a two-way CF model should describes not only running within short gap but also headway distribution. Additionally considering domestic two-way-road size, there is a on-going need for large-network simulation, but there are few studies for two-way CF model. In this paper, a two-way CA model is developed, which explains two-way CF behavior more realistic and can be applied for large road network. The experimental results show that the developed model mimics stop-and-go phenomenon, one of features of congested traffic flow, and efficiently generates the distribution of headway. When the CF model is integrated with overtaking model, it is, therefore, expected that two-way traffic flow can be explained more realistically than before.

• Tunnel and Underground Space
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• v.26 no.1
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• pp.32-45
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• 2016

For effective utilization of downtown area, many studies about underground have been performed around the world, and double-deck tunnel have being operated in USA, Europe and China, etc. (A86 East Duplex in France, M30 tunnel project in Spain, SR-99 in seattle, USA, Yangtze river tunnel in China) In Korea, the research about network type double-deck tunnel in deep underground space is in progress to solve the traffic jam and secure the ground space. In this study, a number of factors required for double-deck tunnel in deep underground are analyzed through the existing ventilation design outline and unique ventilation design factors for network type double-deck tunnel are established by reviewing design cases of overseas double-deck tunnel.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.1
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• pp.1-12
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• 2001

The biotope network of Susung gu is characterized as dense residence zones forming its core that enable partial biotope in and around the residential zones. First, in district I, it is possible to make these zones connected to the third district. In district II, which is abundant in biotope, it is very important not to continue destoyi9ng the existing biotopes. In the case of district III, old residence zones have fill the severe gap between forests and the Sinchun river, through redevelopment, which covers more than 30% of the biotope area with large scaled linear residence areas. In the case of district IV, limited destruction of biotope and the improvement of nature areas were suggested as the alternative for preservation of biotopes. Consequently, in the construction of the biotope network in Su-sung gu, the maintenance of existing biotopes is required. Int he old residence zones, as redevelopment occurs, by maintaining biotope area of more than 30% and making the scale of residential complexes more than 1ha, it is possible for old residence zones to accomplish the role of providing important green spaces. In the case of newly developed residential zones, by reducing the rate of pavement of traffic conducts, utilizing small sized parks at the junctions and the plantation of trees along the corridors, the entire residence zones are able to accomplish the role of providing important green space. The problem houses and connecting the inner green space of the private houses with the green spaces of the streets in some areas. Futhermore, green spaces of forests must not be used for urban development. Dual planting on sidewalks, planting plots dispersed among streets and median strips must be established on road, too.

• International Journal of Highway Engineering
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• v.11 no.2
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• pp.55-66
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• 2009

This study examines the consequent impact which Cheonggyechoen restoration project of Seoul makes on pedestrian network structure around the inner city, especially in terms of sustainable developments and the city's balanced development. It identifies variation of Global Integration and Local Integration of the pedestrian networks which is compared by before and after conditions with east-west and south-north walking axis by using Space Syntax. The results show respectively different set of Global and Local Integration. First, Global Integration shows high performance along the east-west axis, while pedestrian spatial networking is balancing through Donhwamunno and Samillo. Second, Local Integration illustrates both performance along both the east-west axis and the south-north axis after restoration of network. It is primarily concentrated in Taepyeongno$\sim$Samillo section(business and commercial-centered) before the restoration. In addition, total integration is holistically improved while the networking in Samillo$\sim$Baeogaegil section(the instrument shopping streets) if almost same as one another Moreover, in Baeogaegil$\sim$Dongdaemun Stadium section(market-centered), the connectivity of Cheonggyechoenro is improved after the restoration. All in all, Cheonggyechoen restoration project of Seoul allows traffics to be equally accessible from the east-west axis and the south-north axis and contributes to the connectivity improvement of the east-west axis as well as the south-north axis.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.11
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• pp.76-88
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• 1998

While most of the research on reinforcement learning assumed a discrete control space, many of the real world control problems need to have continuous output. This can be achieved by using continuous mapping functions for the value and action functions of the reinforcement learning architecture. Two questions arise here however. One is what sort of function representation to use and the other is how to determine the amount of noise for search in action space. The ubiquitous neural network is used here to learn the value and policy functions. Next, the reinforcement predictor that is intended to predict the next reinforcement is introduced that also determines the amount of noise to add to the controller output. The proposed reinforcement learning architecture is found to have a sound on-line learning control performance especially at high-speed road following of high curvature road. Both computer simulation and actual experiments on a test vehicle have been performed and their efficiency and effectiveness has been verified.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.3
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• pp.157-164
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• 2022

In this paper, we describe how to implement the mountainous terrain, radar, and air defense network for UAV path planning in a 3-D environment, and perform path planning and re-planning using the PRM algorithm, a sampling-based path planning algorithm. In the case of the original PRM algorithm, the calculation to check whether there is an obstacle between the nodes is performed 1:1 between nodes and is performed continuously, so the amount of calculation is greatly affected by the number of nodes or the linked distance between nodes. To improve this part, the proposed LineGridMask method simplifies the method of checking whether obstacles exist, and reduces the calculation time of the path planning through parallelization. Finally, comparing performance with existing PRM algorithms confirmed that computational time was reduced by up to 88% in path planning and up to 94% in re-planning.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.26-36
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• 2020

The use of existing macroscopic research of pedestrian behavior on the walking link as data is limited in determining an individual pedestrian's moving route and the level of service. In macroscopic studies, it is difficult to make quantitative indices, such as pedestrian flow rate, occupied space, density, and speed for determining the level of service on pedestrian roads. Therefore, the microscopic pedestrian route is required to establish appropriate pedestrian policies. In this study, the Yeok-Sam subway station network was examined using a micro-simulation VISSIM, which was then calibrated and validated statistically. The Pedestrian Road's Level of Service of Yeok-Sam subway station area was evaluated using the pedestrian speed as the evaluating index on the Korean highway capacity handbook.