• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1309-1320
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• 2015

This study made an attempt to analyse the relationship between operation environment and fleet size per route which represents the level of service for inner-city bus service. Regression analysis method has been adopted as main analysis tool and 98 routes of bus operation status in Ulsan city as of 2013 has also been selected for analysis target. Correlation analysis was performed to identify the relationship between dependent and independent variables. There are three types of model for whole sample, type operation, and bus route operation system. These are the results of the current study. 1. The model developed for whole sample of 98 routes is as follows. Y(Fleet Size)=$-4.532+0.00002877*X_1$(Revenue). This model shows that it is necessary to have more than 140 passengers per day to increase fleet size of each bus route in Ulsan. 2. Models developed by type of operation (which are standard, express, and middle sized) are shown below. Stand Bus : Y(Fleet Size)=$-10.954+0.00004283*X_1$(Revenue). It is identified that more than 153 passengers need to use standard bus to increase fleet size per each standard bus, Middle Sized Bus : Y(Fleet Size)=-0.859+0.00001438*X1(Revenue). For middle sized bus, at least 52 daily passengers are needed to increase number of bus in each route. 3. Models developed for each route operation systems are as belows. Joint Operation Group : Y(Fleet Size)=$-4.786+0.00003028*X_1$(Revenue). Individual Operation Group : Y(Fleet Size)=$-2.339+0.00002030*X_1$(Revenue). These model provide similar result which 140 people is the minimum number of passenger to raise the number of vehicles in each route. This result shows that the route operation systems does not affect the raise number of cars significantly.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.247-255
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• 2014

This study supplements the existing bus information system's weakness which is a text-based system, transmits GUI based user request contents, design and implements the bus information system using smart-phone GPS. The existing bus information system had to install the terminals on the bus and take enormous expenses on maintenance with setting up the direction board on each bus station. The proposed system provides bus route and user location using the smart-phone map screen, finds the nearest bus station, indicates the bus route on map screen, applies our algorithm which increases accuracy of the bus arriving time, and provides route construction of the inner-cycle bus. The accuracy of the estimated bus arriving time has increased to about 88.71% which is 22.71% more than the existing system whose accuracy is 67% and improved into GUI form that the existing system was on text and table UI. Consequently, the upgraded bus information system uses the smart-phone GPS to supplement the existing bus information system and satisfies different requests of users.

• Digital Contents
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• no.8 s.135
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• pp.68-70
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• 2004

• Journal of the Korean Society for Railway
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• v.3 no.4
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• pp.23-35
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• 2000

지난 30년간 수도권은 많은 변화를 겪어왔다. 무엇보다도 1970년에 948만 인에 불과하던 인구가 1990년에는 거의 투 배인 1,859만 인으로. 1998년에는 2,130만 인으로 계속 증가하였다. 버스만으로는 대중교수단의 역할을 수행할 수 없게 되자 1970년대 초반부터 도시철도를 건설하기 시작하였다. 이후 도시철도는 서울시전역에서 건설되기 시작해서 이제 서울시내 만에도 8개 노선, 총 연장 280 km의 지하철망을 구축하게 되었다. 지하철 외에 서울시 외곽 도시를 연결하는 7개 노선, 총 연장 172 km의 전철망 또한 구축되었다. 지하철망과 전철망을 합한 수도권내 도시철도망은 이제 14개 노선, 총 연장 452 km에 달하며, 승객수송 분담율에 있어서도 버스보다 더 높은 비중을 차지하고 있다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.137-140
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• 2004

최근 모바일 기기의 보급이 증가되고, 고급 어플리케이션의 동작이 가능해지는 등 모바일 장비의 사용 편이성이 급속도로 증가되고 있다. 또한 GPS 기술의 발전으로 인해 위치 기반 서비스가 여러 분야에서 널리 사용되고 있다. 본 논문에서는 고정된 노선을 이동하는 버스를 대상으로 목적지까지의 최단 시간 경로를 제공하는 교통 정보 시스템을 제안한다. 이를 위해 우선, 이동 객체인 버스와 관련된 정보를 효율적으로 저장, 관리, 검색할 수 있는 스키마와 질의 모델을 제안한다. 또한, 제안된 시스템에서는 최단 시간 경로를 위해 버스의 노선 정보 및 위치 정보, 정류장간 소요 시간 정보, 사용자의 근접 정류장까지의 이동 시간, 사용자의 도보 이동 시간 등의 정보를 활용한다. 대부분의 위치기반 서비스를 위한 시공간데이터베이스 기술에서는 이동 객체가 시간의 흐름에 따라 속도와 방향의 변화로 인한 임의의 동선으로 움직인다고 가정하고 있으며, 버스와 같이 고정된 노선을 이동하는 이동 객체의 관리 기법은 다루어지지 않고 있다. 따라서 본 논문의 연구 결과는 고정된 노선을 이동하는 이동 객체의 저장 및 이동 객체의 미래 위치 예측 기법에 활용될 수 있다.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.63-71
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• 2009

The purpose of this paper is to identify unreliable routes in the view of users. After headway error ratio per route and travel time error ratio per route were calculated by using BMS data, reliability which incorporated two indicators each route was calculated through data envelopment analysis. Reliability among routes and among traffic zones was compared through the results, the needs to improve severely unreliable routes and to show passengers adjusted bus schedule information considering current reliability were suggested. As a future study, reliability evaluation framework of each route needs to be developed considering operation environment by analyzing bus card data (passengers and operation speed etc.) and pooly unreliable route should be managed strictly and reformed.

• Journal of the Korean Professional Engineers Association
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• v.30 no.4
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• pp.88-98
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• 1997

For Improving gradually inferior environment of public transportation system, it is necessary to introduce new transit System(NTS). NTS is defined as automated economicm system for it's operation . The Track Guided Bus System (TGBS) is one of the NTS, which is possible operating on the track or road surface and the system has actually many advantages. This study was concentrated on investigating the characteristics of TGBS, comparing to the other public transportation system and appraising the advantages of it on the benefit of the passenger side as well as investor, and then suggested applicable routes. As the result of the study, it is concluded that the advantage of this system is less transfering and initial low investment. Applicable route is the demand of passengers in the range of PPHPD 5,000~39,600, which is more than bus but not more than subway.

• Journal of IKEEE
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• v.22 no.2
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• pp.250-257
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• 2018

In this paper, a smart bus system that automates public bus traffic payment by applying beacon and computer vision and provides bus route information, real-time location information, getting off alarm is proposed. By using the beacon to recognize busses near the stop and to board the bus to be boarded, this system automatically processes the payment when boarding by using the distance from the beacon and the information provided by the beacon and the face comparison. After the payment processing, the system provides the route information of the boarded bus and the real-time bus location information to the user, and when the user sets an alarm using these informations, the alarm is activated when the bus leaves the bus stop.

• Transportation Technology and Policy
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• v.10 no.3
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• pp.6-13
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• 2013

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.6
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• pp.677-685
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• 2011

In order to enhance public transportation and to maintain information credibility, improvement of accuracy regarding route and positional information of public transport is very significant. There have been a variety of methods using GPS to measure accuracy of location-based services. However, the researches of evaluation regarding kinematic position of linear objects measured by vehicle/kinematic GPS are still insufficient. That's why our paper aims to suggest method of evaluation accuracy on a real-time bus route surveyed by GPS by SBM(Single Buffering Method). To make it come true, we compared the findings on the static and dynamic positioning by using PP(Point Positioning), DGPS and GPS/INS integrated systems and analyzed the accuracy and error effects among them, focusing on Anyang city. Consequently, we can find out that in case of P.P. comparing positioning accuracy between RTK DGPS and GPS/INS, both of them have survey result within a margin of error of 5m. More importantly, we can evaluate positional accuracy of each GPS system based on the work provision of a public survey such as error for P.P.(14.5m, 18.1m), DGPS(16.9m, 18.5m), and GPS/INS(18.4m, 18.5m). We are expecting that proposed method in our paper can be utilized in a wide range of categories such as feasibility testing of GPS field survey and high accuracy of positioning for Bus Information System.