• International Journal of Highway Engineering
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• v.15 no.3
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• pp.159-167
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• 2013

PURPOSES: The purpose of this study is to develop an effectiveness analysis method of exclusive median bus lanes, which is necessary in order to improve operation efficiency of exclusive median bus lanes. METHODS : The operation characteristics of "signalized intersection including exclusive median bus lanes" and "normal signalized intersection" were investigated and the existing capacity analysis method was also reviewed to analyze the effectiveness of exclusive median bus lanes. Delay reduction of passengers using exclusive median bus lanes which can be considered as the benefit of exclusive median bus lanes and the number of people in buses were included in the proposed effectiveness analysis method. RESULTS : It was found that the proposed method expresses properly the effectiveness of exclusive median bus lanes through performing sensitivity analysis and analyzing with the real data of the number of people in buses and passenger cars. It was also found that the proposed method demonstrates the effectiveness that measure of effectiveness of signalized intersections is changed to "sec/person". CONCLUSIONS : It was concluded that the method is a proper effectiveness analysis method because it can reflect the benefit of passengers in buses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.518-521
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• 2018

As public transportation use increases, studies are being conducted to consider user convenience using IoT data collected via the bus information system. A low-floor bus means a bus that is designed to be 20 cm lower than a normal bus and can be wheelchair-accessible. However, the system in which the transportation weak is provided to use the low-floor bus is less than the system provided to the general user. In order to use the low-floor bus smoothly, as in the case of the general user, the service system for the weak driver is needed. In this paper, a low - floor bus reservation system is designed to provide a service for low - rise bus users to conveniently use low - floor buses.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.1-11
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• 2019

The accident of mass transit such as a bus could draw the large casualties and this induces social and economic losses. Recently, severe bus accidents caused by tiredness and inattention of bus drivers occurred and those lead to growing interest in bus accidents and the drivers' work environment. Therefore, this study analyzes the accident based on the work environment of bus drivers and route-bus categories. For the research, this study collected digital tachograph data and the bus company information for 271 domestic bus companies in 2017 and used ANOVA test and chi-square test as statistical methodologies. As a result, we figured out there are statistically significant differences in the accident according to the working environments. Especially, the present study confirmed the intracity bus with working every other day has the most frequent accidents. We expect that the results of this study be used as foundations for the improvement of working conditions to reduce route-bus accidents in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1115-1122
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• 2013

Recently the demands for traffic information tend to increase, and travel time might one of the most important traffic information. To effectively estimate exact travel time, highly reliable traffic data collection is required. BIS(Bus Information System) data would be useful for the estimation of the route travel time because BIS is collecting data for the bus travel time on the main road of the city on real-time basis. Traditionally use of BIS data has been limited to the realm of bus operating but it has not been used for a variety of traffic categories. Therefore, this study estimates a route travel time on road networks in urban areas on the basis of real-time data of BIS and then eventually constructs regression models. These models use an explanatory variable that corresponds to bus travel time excluding service time at the bus stop. The results show that the coefficient of determination for the constructed regression model is more than 0.950. As a result of T-test performance with assistance from collected data and estimated model values, it is likely that the model is statistically significant with a confidence level of 95%. It is generally found that the estimation for the exact travel time on real-time basis is plausible if the BIS data is used.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.6
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• pp.100-109
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• 2015

The purpose of this study is to explore factors that influence the use of intercity-bus services by means of applying a structural equation model. The data were collected by a questionnaire survey based on personal interviews with intercity-bus users in Chungcheongnam-do province. Analysis results show that environmental attributes of the bus service are more important than operational attributes. In the case of men, the cleanliness of bus stops and the ease of transportation card recharging are likely to be the most crucial factors. However, women are likely to consider the cleanliness of the bus as the most important factor affecting their satisfaction about the intercity-bus service. Moreover, as people's satisfaction about the bus service increases, their willingness to recommend the use of intercity-bus to others will increase. Therefore, to improve the use of intercity-bus and to increase the satisfaction about the service, clean buses must be provided. These results could contribute to developing a policy to activate the use of intercity-bus.

• Journal of Korea Multimedia Society
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• v.21 no.10
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• pp.1203-1210
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• 2018

As the use of public transportation is increasing, a service considering the convenience of passengers is being launched utilizing the Internet (IoT) data collected through the bus information system. However, the bus information system only provides limited information such as the current location of the bus (GPS) and the expected arrival time at the stop. Additional IoT sensor information is needed to provide various services for the safety and convenience of passengers. In this paper, to improve the safety and convenience of passengers, we have added the boarding doors imaging sensor, temperature and humidity sensors, and sensor for measuring the number of passengers. The proposed IoT bus system can attach various sensors to buses to provide high-quality safety services to passengers.

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.201-205
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• 2001

This paper presents the load modeling process and bus load models for KEPCO power system. At first, load devices commonly used in KEPCO power systems were selected, and tested for measuring the voltage and frequency sensitivity of active and reactive power. From this test, about 40 voltage and frequency dependent load models have been obtained. The bus load composition rate for KEPCO power system has been determined using the various recent surveys and papers in order to develop the load model for a power system bus. To verify the accuracy of developed bus load models, the field test for measuring active and reactive power according to artificial variation of the bus voltage was performed at 8 substations for spring summer, autumn, winter cases. With data of this seasonal field test, more reliable bus load models for KEPCO power systems were developed.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.5
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• pp.873-882
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• 2017

Smart cards are currently used in about 150 locales, including the metropolitan ares, and are utilized as a policy base for various public areas, including public transportation, bus fares, and public transportation requirements. However, excluding the metropolitan area and some metropolitan areas, there are many areas where the existing BIS data was unable to match station information on the data and Smart cards itself are not available on the bus stop information by the line. The purpose of this research was to produce bus stop information generated by the bus stop based on the bus route, and the actual stop information generated by the model presented in the study was derived by matching the actual station information.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.2
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• pp.1-13
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• 2009

Although enormous data have been collected in major cities (Korea) by APTS(Advanced Public Transit Systems), most of studies related to bus schedule management evaluation have confined to headway adherence and on-time performance. Therefore, bus operation management have been very lack of using APTS data. This study uses coefficient of correlation to evaluate bus company's schedule management level. However, direct application of coefficient of correlation has inequitable problem because of many limitation(number of vehicle, headway, etc). and so variable calibration method was developed and applied to cope with these problems. Thus, demand-elastic management evaluation index was developed. For verifying the equity of developed index, it is applied to Seoul bus routes. It is expected for the developed index to contribute into the demand-elastic management of bus schedule.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.2
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• pp.57-66
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• 2012

This study intended to evaluate the operational performance change from the introduction of the bus signal priority system using the field data. To complete the objective, travel time and volume data were collected from the before and after study, then the distribution of individual vehicle's travel time and the difference of travel time and traffic volume were compared respectively. Analysis results showed that no significant volume change was observed from both passenger vehicle and bus for the major and cross streets. It was identified that the quality of travel time distributions of passenger vehicle and bus was improved after introducing the bus signal priority system. In terms of average speed, passenger car in a major direction increased by 6.5% and bus increased by 10.5% in general. Statistical tests showed that those speed differences were statistically significant at the 95% of confidence level. The results of this paper will be a good source for further research in the area of bus signal priority control.