• Journal of the Semiconductor & Display Technology
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• v.22 no.2
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• pp.112-119
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• 2023

In urban environments, signals of Global Positioning System (GPS) can be blocked and reflected by tall buildings, large vehicles, and complex components of road network. Therefore, the performance of the positioning system using the GPS module in urban areas can be degraded due to the loss of GPS signals necessary for the position estimation. To deal with this issue, various localization schemes using inertial measurement unit (IMU) sensors, such as gyroscope and accelerometer, and Bayesian filters, such as Kalman filter (KF) and particle filter (PF), have been designed to enhance the performance of the GPS-based positioning system. Among Bayesian filters, the PF has been widely used for the target tracking and vehicle navigation, since it can provide superior performance in estimating the state of a dynamic system under nonlinear/non-Gaussian circumstance. This paper presents a positioning system that uses the double-stacked particle filter (DSPF) as well as the accelerometer, gyroscope, and GPS receiver on the smartphone to provide higher pedestrian positioning accuracy in urban environments. The DSPF employs a nonparametric technique (Parzen-window) to create the multimodal target distribution that approximates the posterior distribution. Experimental results show that the DSPF-based positioning system can provide the significant improvement of the pedestrian position estimation in urban environments.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.4
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• pp.399-408
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• 2023

In this paper, we propose a solution that enables continuous indoor/outdoor positioning of smartphone users through the integration of Pedestrian Dead Reckoning (PDR) and GPS/WiFi signals. Considering that accurate step detection affects the accuracy of PDR, we propose a Deep Neural Network (DNN)-based technology to distinguish between walking and non-walking signals such as walking in place. Furthermore, in order to integrate PDR with GPS and WiFi signals, a technique is used to select a proper measurement by distinguishing between indoor/outdoor environments based on GPS Dilution of Precision (DOP) information. In addition, we propose a technology to adaptively change the measurement error covariance matrix by detecting measurement outliers that mainly occur in the indoor/outdoor transition section through a residual-based χ² test. It is verified through experiments on a testbed that these technologies significantly improve the performance of PDR and PDR/GPS/WiFi fingerprinting-based integrated pedestrian navigation.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.5
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• pp.53-63
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• 2009

This study aims at presenting a plan to build an open space network system in the city of Daejeon, assuming that parks and the green space system as a broad concept are to make a network by connecting open spaces such as parks, green spaces, squares, pedestrian roads, historical spots, etc. In the case of old downtown in Daejeon, this study examined the possibility of applying an open space network in the city of Daejeon and categorize them according to the findings from examining the case area, which enables to make a plan for building an open space network system in Daejeon. As a result, public offices and business buildings as an active open space have public open spaces in front of buildings and these front public open spaces are connected to pedestrian roads(gray open space). Since these pedestrian roads are consequently connected to large parks and rivers(green or blue open space), this overall spatial sequence can form an open space system. In addition, parks and green spaces, which have been fundamental elements so far, exist in relatively small and scattered areas at the center of the city. Hence, more parks and green space are needed to improve a park and green space system. However, it is very difficult to create new parks and green spaces in downtown, especially in old downtown areas. Therefore making an open space network system which spreads out over the whole city will form a healthy open space network in the downtown area.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1244-1253
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• 2021

In this paper, we propose a method for predicting in advance whether pedestrians will enter the hazardous area after the current time using the pedestrian trajectory prediction method and an efficient simplification method of the trajectory prediction network. In addition, we propose a method to apply KD(Knowledge Distillation) to a small network for real-time operation in an embedded environment. Using the correlation between predicted future paths and hazard zones, we determined whether to enter or not, and applied efficient KD when learning small networks to minimize performance degradation. Experimentally, it was confirmed that the model applied with the simplification method proposed improved the speed by 37.49% compared to the existing model, but led to a slight decrease in accuracy. As a result of learning a small network with an initial accuracy of 91.43% using KD, It was confirmed that it has improved accuracy of 94.76%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.147-154
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• 2008

A variety of activity happens around the sidewalk in the city. Particularly, a large variety of activity happens in shopping area, but it causes an obstruction of economical revitalization since the pedestrians require time and cost to find what they want. So, this study will develop the path searching method to minimize the economical loss of shoppers by providing the significant path and supporting the walking movement. Firstly, consider existing network expression techniques and approach three points which are physical and environmental factor, the recognition of the pedestrians' space when changing the direction, and the recognition of restriction of vision and accessibility. Try to design the network DB and simulate the algorithm. As a result, it is now possible to do the path searching that considers variety of recognition factors and show the method how to make the path-searching algorithm for pedestrian.

• 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 Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.763-772
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• 2019

Recently, there is a great expectation for the sustainable effect of TOD and apply it to urban planning and design. However, there are few research on the quantitative evaluation method of the effect. The purpose of this study is to propose a quantitative way to assess the effectiveness of TOD(Transit Oriented Development)'s vehicle traffic reduction in the urban planning phase, based on the land-use plan. Firstly, it proposes a method to convert the information contained in the land-use plan into a network and secondly a method to estimate the travel distance based on the network. In the first phase, the roads in the land-use plan are converted into links and the intersection of the roads into nodes. The area and the height of the zones included in the land-use plan are converted into the weights on adjacent nodes. The second phase assumes the frequency at which travel occurs between nodes on the network is relative to the weights and estimates the travel distance by dividing it into a pedestrian and a vehicle. Then, taking the city without TOD as the object, through comparison present city and alternatively redesigned city to the analysis of TOD effect. In this study, the application of these methods to Bundang as of 1997 and alternatively redesigned Bundang showed that about 39.94 percent of the vehicle traffic reduction effects occurred. Furthermore, the pedestrian traffic ratio of alternatively redesigned Bundang increased to 2.39%.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.810-815
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• 2013

In case Wi-Fi network based First responder's position tracking system is used, range measurement must be generated from RSSI finger print database. However, it is impossible to build up finger print database and to perform rescue operation at same time in the scene of rescue. In this paper, improvised Wi-Fi network without finger print database and pedestrian dead reckoning based first responders tracking system is proposed.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.1
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• pp.35-42
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• 2021

This study analyzed the path that affects the user's walking satisfaction on main street in four local government towns in Jeollanam-do. and as an empirical study to find the direction of improvement toward the main street from the perspective of walking, the results are as follows. First, it was found that the network had a direct (+) effect on walking satisfaction as a main street. In addition, it was analyzed that land use had no direct (+) effect on walking satisfaction on the main street, but had a direct (+) effect on the network. Second, it was analyzed from the fact that the walking environment does not have a direct (+) effect on walking satisfaction, but has a direct (+) effect on the network. and it was analyzed that the street-building relationship had a direct (+) effect on the street landscape, and the street landscape had a direct (+) effect on the walking environment. The study was completed by suggesting implications according to the above research results.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.1
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• pp.31-41
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• 2018

This study aims to analyze region-based pedestrian evacuation behaviors and information offering effect using Social Force Model, which is micro simulation. All pedestrians were assumed to move to shelters through pedestrian roads according to guidance information at emergency situations, and the pedestrians were classified into adults and the handicapped. According to the results of the road network analysis and simulation analysis, the shelters to which pedestrians can move within the shortest time from each zone were selected as optimum shelters. From this study, the analysis showed that the information provision effects are informative even though total evacuation time increases due to the increase of pedestrian conflict. This study can be used as baseline data for urban area's pedestrian disaster prevention plans.