• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.163-173
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• 2015

In this paper, it shows optimal inventory level of bicycle sharing service terminal by maintaining the lowest costs. As the interest to environment and exhaustion of resource increases globally, investment to sustainable transportation increases around advanced countries and interest to efficient transportation, managing and consuming of vehicle increases also. Vehicle sharing service is a model of rental car where customer rent cars for short periods of time often by the hour and its users are increasing for the reason that it is more convenient than car rent. In addition, bicycle sharing service is one of the major parts in vehicle sharing program and many of country are already managing it. This paper proposes optimal inventory levels of vehicle sharing service's terminal by using simulation calculating operation costs of vehicle sharing service.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.195-203
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• 2017

Sharing economy which is sharing and borrowing goods, space, and services as a social and economic activity based on the Internet and smart phones is a new research topic in convergence area. The most representative areas of shared economy are space sharing and vehicle sharing. This paper aims to explore the factors affecting sharing intention of vehicle. We have identified the independent variables which include economic benefit, social benefit, social influence, psychological benefit and perceived risk. We also have done how these variables affect on sharing intention. Unlike Korea, in China vehicle sharing is legally allowed and has a large scale economy. To prove the hypothesis, we performed questionnaire investigation in China and analyzed with SPSS program. The result of hypothesis is the followings: The economic benefit, psychological benefit, social influence and perceived risk are affects sharing intention, and social benefit is not affect sharing intention and sharing intention is affect sharing behavior.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.329-330
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• 2008

GPS which measured user's location information outdoors should be of poor sensitivity because of interference and jamming of different electromagnetic waves. Specially, it has a defect of low received rate in high-rise urban where reflection and refraction of satellite signal go well. In this paper, I propose user location information sharing modeling of both vehicle and mobile phone using bluetooth in urban.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.239-247
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• 2014

In modern society, the transportation sector is having difficulties with mobility, safety, energy and environment issues so that solutions should be prepared progressively. Recently developed countries are paying greater attention to car-sharing systems as alternatives for relieving problems caused by increasing number of vehicles. Car-sharing systems are believed to keep the number of personal vehicles down and traffic congestion due to the fact that this system induces efficiency of vehicle operation. In this study, authors focused on solving the imbalance problem of car-sharing systems dynamically, to specifically improve one-way car sharing service. Therefore vehicle relocation algorithm was designed for maximizing profit of car sharing operators. For the application of the vehicle relocation algorithm among rental offices, we selected Haeundae-gu, Busan as the area of study. Rental offices have been designated to the zone centroid and we calculated the shortest path between rental offices by using TransCAD. In the study, we adapted MATLAB for the application of vehicle relocation algorithm. As the results, the total vehicle relocation time was estimated as 59.9 minutes. In addition, vehicle relocation algorithm was verified successfully by using Decision Tree method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1857-1862
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• 2012

It is very difficult to construct and manager public transit, like subway, in small city. In this paper, we suggest full electric vehicle sharing service framework as a public transit system in small city. The suggested system will reduce environment pollution and increase resource usage efficiency. The simulation result shows that the suggested electric vehicle sharing system can reduce traffic congestion and lower city road stress.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.2
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• pp.138-144
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• 2020

Currently, an autonomous vehicle studies are working to develop a four-level autonomous vehicle that can cope with emergencies. In order to flexibly respond to an emergency, the autonomous vehicle must move in a direction to minimize the damage, which must be conducted by judging all the states of the road, such as the surrounding pedestrians, road conditions, and surrounding vehicle conditions. Therefore, in this paper, we suggest a passenger detection and sharing system to detect the passenger situation inside the autonomous vehicle and share it with V2V to the surrounding vehicles to assist in the operation of the autonomous vehicle. Passenger detection and sharing system improve the weighting method that recognizes passengers in the current vehicle to identify the passenger's position accurately inside the vehicle, and shares the passenger's position of each vehicle with other vehicles around it in case of emergency. So, it can help determine the driving of a vehicle. As a result of the experiment, the body pressure sensor applied to the passenger recognition sub-module showed about 8% higher accuracy than the conventional resonant sensor and about 17% higher than the piezoelectric sensor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1462-1477
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• 2024

With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

• Journal of Information Technology Services
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• v.20 no.2
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• pp.147-166
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• 2021

As vehicle sharing service is being widely used in China. The sharing economy appeared to be a way to make people's lives more convenient and to utilize limited resources efficiently. Sharing economy companies have created an app to satisfy users' needs with providing more benefits. Although research on vehicle sharing services has been continuously conducted at the level of the sharing economy, there are not many empirical studies related to the perception of the sharing economy from the consumer's point of view. In this sense, this study considered the perceived relationship benefits (social benefits, economic benefits, psychological benefits, and functional benefits) of Didi chuxing service as the key independent variables influencing users' confirmation and satisfaction, And suggests that users' confirmation and satisfaction are the key determinants of Didi continuance intention . To test the proposed research model, this study conducted structural equation model using 268 data collected on the users who have experience of Didi service. According to the empirical analysis results, This study verifies that: First, social benefits, economic benefits, psychological benefits, and functional benefits are determinants of user's satisfaction. Second, expectation confirmation depends on economic benefits, psychological benefits, functional benefits and social influence, meanwhile, social benefit has no effect on expectation confirmation. Third, expectation confirmation is proved to be a positive predictor of users' satisfaction. Finally, this results indicate that continuous use intention is determined by users' satisfaction.

• Journal of Broadcast Engineering
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• v.25 no.1
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• pp.83-93
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• 2020

With the rapid increase of vehicles, various traffic problems, e.g., car crashes, traffic congestions, etc, frequently occur in the road environment of the urban area. To overcome such traffic problems, intelligent transportation systems have been developed with a traffic flow analysis. The traffic flow, which can be estimated by the vehicle counting scheme, plays an important role to manage and control the urban traffic. In this paper, we propose a novel vehicle counting method based on predicted centers of each lane. Specifically, the centers of each lane are detected by using the accumulated movement of vehicles and its filtered responses. The number of vehicles, which pass through extracted centers, is counted by checking the closest trajectories of the corresponding vehicles. Various experimental results on road CCTV videos demonstrate that the proposed method is effective for vehicle counting.

• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.473-481
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• 2006

This study attempts to estimate economic benefits in terms of cost sayings and qualitative effects resulting ken implementation of new vehicle maintenance information system. It is widely expected that the effect of new vehicle maintenance information system will be significant in cost savings by information sharing and electronic documentation. To evaluate the economic feasibility of new system implementation, the study conducted seven subsystems case studies on the vehicle maintenance information system of Seoul Metro. Economic benefits are estimated by measuring the time savings, in turn, are calculated into cost savings by multiplying the average wages per hour of employee. The result of case study showed that over the 20 billion Won will be saved owing to new vehicle information system implementation. In conclusion, this study will contribute to the field of practices for the most, in evaluation of the economic benefits resulting from new information system implementation in the railway organization.