• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.145-150
• /
• 2023

The subway is a public transportation that many people use every day. Line 2 especially has the most crowded stations during the day. However, the risk of crush accidents is increasing due to high congestion during rush hour and this reduces the safety and comfort of passengers. Subway congestion prediction is helpful to forestall problems caused by high congestion. Therefore, this study proposes machine learning classification models that predict subway congestion during commuting time. To predict congestion in Line 2 based in machine learning, we investigate variables that affect subway congestion through previous research and collect a dataset of subway congestion on Line 2 during rush hour from PUBLIC DATA PORTAL. The proposed model is expected to establish the subway operation plane to make passengers safe and satisfied.

• Journal of Digital Convergence
• /
• v.14 no.11
• /
• pp.289-295
• /
• 2016

Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.

• Journal of the Korean Society for Railway
• /
• v.18 no.3
• /
• pp.270-277
• /
• 2015

In some sections of the Seoul Metropolitan Subway, severe congestion can be observed during rush hours and on specific days. The subway operators have been conducting regular surveys to measure the level of congestion on trains: the results are then used to make plans for congestion reduction. However, the survey has so far focused just on train' congestion and has been unable to determine non-recurring congestion due to special events. This study develops an algorithm to estimate the platform congestion rate by time using individual public transportation card data. The algorithm is evaluated by comparison of the estimated congestion rate and the ground truth data that are actually observed at non-transfer subway stations on Seoul subway line 2. The error rates are within ${pm}2%$ and the performance of the algorithm is fairly good. However, varying walking times from gates to platforms, which are applied to both non-peak periods and peak time periods, are needed to improve the algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.5
• /
• pp.74-79
• /
• 2016

The Seoul Metropolitan Subway, which started operating in 1974, plays a major role in transporting 7,289 thousands passengers daily. This trend of a steadily increase in passengers from 2012 has increased the congestion rate because of the limited capacity and time. To solve this problem, Seoul city is consistently working on improving the subway facilities, such as the construction of a detour path. This project, however, has only a slight effect on improving the congestion rate and is too expensive to construct the facilities. Hence, this study suggests The Congestion Standardization System based on the IoT for improving the subway congestion rate. Based on the system, the expected effect analysis was performed, which resulted in a decrease in ride passengers from 34 to 20. In addition, this expected effect analysis shows that the number of subway vehicles can increase from 20 to 24. The suggested system will have a significant effect on the efficiency of the management system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.4
• /
• pp.183-188
• /
• 2024

As time progresses and technology advances, many modes of transportation have emerged compared to the past. People use various means of transportation including personal cars, subways, buses, and taxis, among which public transport is utilized by people of all ages and genders. Public transportation has the advantage of being affordable and convenient, but with the increase in population compared to the past, traffic congestion has also been increasing, making it increasingly uncomfortable. Especially during specific times or on certain dates, traffic congestion can become significantly worse than usual. Among these, the subway is the mode of transportation used most frequently. Therefore, in this study, we will discuss solutions and analyze the causes of congestion by subway section using the R program.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.5
• /
• pp.49-63
• /
• 2019

Crowdedness management at subway platforms is essential to improve services, including the prevention of train delays and ensuring passenger safety. Establishing effective crowdedness mitigation measures for platforms requires accurate estimation of the congestion level. There are temporal and spatial constraints since crowdedness on subway platforms is assessed at certain locations every 1-2 years by hand counting. However, smart cards generate real-time big data 24 hours a day and could be used in estimating congestion. This study proposes a model based on data from transit cards to estimate crowdedness dynamically. Crowdedness was defined as demand, which can be translated into passengers dynamically moving along a subway network. The trajectory of an individual passenger can be identified through this model. Passenger flow that concentrates or disperses at a platform is also calculated every minute. Lastly, the platform congestion level is estimated based on effective waiting areas for each platform structure.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.152-161
• /
• 2022

Recently, it is recognized as a high-cost and inefficient logistics system that increases traffic congestion and environmental problems due to an increase in traffic volume due to the activation of the online market. In order to solve inefficient problems such as unavoidable traffic congestion and environmental problems caused by the increase in traffic volume, it is necessary to develop a freight transport system technology using the existing urban railway infrastructure and freight-only urban railway. The urban subway logistics system is a logistics system that requires a combination of various technologies to solve the nationwide demand for urban logistics and road traffic problems. This paper recognized the existing traffic congestion and environmental pollution of road traffic as problems, and supplemented the contact point requirements presented above by identifying the sub-systems constituting the target system and supplementary points for each part-level contact point. In this study, as a complex system operated for one purpose by grafting various technologies, a plan is required to secure the reliability and safety of operation from various viewpoints. The results of this study can contribute to the initial configuration and basic data to solve the interface bottleneck of the urban subway logistics system to be promoted in the future.

• Journal of Digital Convergence
• /
• v.13 no.2
• /
• pp.35-42
• /
• 2015

As the value of Bigdata has been recognized importantly, public agencies including the government, private sector, etc. began to have an interest in Big Data. As there are sources of various data, and a variety of planning and analysis methods based on these sources has emerged, It is true that Bigdata will become a tool for creation of the new high qualitied information and decision making based on new insights. The purpose of this study is to find an alternative to the subway congestion problem that is not improved even though the various measures. In this study, we tried to explore approaches for ways to improve the congestion of the Seoul Subway using Seoul Metropolitan public data. Lastly, this study derived a policy alternative to establish new bus route that runs around the metro station that have a high level of congestion.

• Proceedings of the Korean Geotechical Society Conference
• /
• 1993.10b
• /
• pp.3-30
• /
• 1993

To ease traffic congestion Seoul Metropolitan Government formulated the 2nd Phase of Seoul Subway Construction Scheme in 1989. The scheme calls for the construction of %60 km of subway which includes addition of 4 more subway lines and extension of 3 existing subway lines in addition to the existing 118 km of subway. As a final stage of the scheme subway line 6 is under planning and design. The line 6 is 36.1 km-long route connecting Ungam-Samgakchi-Changsin-Sinnae. Except for the depot main line wilts be underground and major construction methods are cut and cover and tunnelling. As a tunnelling method New Austrian Tunnelling Method will be adapted. The line will be opened by the end of 1997. With the completion of the line Seoul will have 278 km of subway network and the transport share by subway will be increased from 25% in 1992 to 50% in 1997.

• Journal of the Korean Society for Railway
• /
• v.9 no.2 s.33
• /
• pp.200-205
• /
• 2006

Subway widely used as a major mean of public transportation both at home and abroad contributes to ease chronic traffic congestion in cities. However, subway operating expense is expected to increase continuously because subway requires vast amount of money at the construction stage, huge sum of maintenance cost is spent during operation, and passenger needs for more convenient facilities is increasing. on the contrary to enormous operating expenses, fare that is occupying most of operating income doesn't come up to its prime cost causing chronic operating deficit. It is urgent to prepare fare system improvement measures to increase operating income in order to resolve financial difficulty of a subway operating organization. Therefore, the current study analyzed present condition and problems of subway fare system, and suggested improvement measures such as improvement of fare adjustment procedure, improvement of free-ride system, diversification of ticket, etc.