• Title/Summary/Keyword: 버스 통행

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Development of Bus Arrival Time Estimation Model by Unit of Route Group (노선그룹단위별 버스도착시간 추정모형 연구)

  • No, Chang-Gyun;Kim, Won-Gil;Son, Bong-Su
    • Journal of Korean Society of Transportation
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    • v.28 no.1
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    • pp.135-142
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    • 2010
  • The convenient techniques for predicting the bus arrival time have used the data obtained from the buses belong to the same company only. Consequently, the conventional techniques have often failed to predict the bus arrival time at the downstream bus stops due to the lack of the data during congestion time period. The primary objective of this study is to overcome the weakness of the conventional techniques. The estimation model developed based on the data obtained from Bus Information System(BIS) and Bus management System(BMS). The proposed model predicts the bus arrival time at bus stops by using the data of all buses travelling same roadway section during the same time period. In the tests, the proposed model had a good accuracy of predicting the bus arrival time at the bus stops in terms of statistical measurements (e.g., root mean square error). Overall, the empirical results were very encouraging: the model maintains a prediction job during the morning and evening peak periods and delivers excellent results for the severely congested roadways that are of the most practical interest.

A Study on the Effect of Adverse Weather Conditions on Public Transportation Mode Choice (강우 상태에 따른 대중교통 이용패턴 특성연구 - 부산광역시 버스통행을 중심으로 -)

  • Park, Kunyoung;Lee, Sibok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1D
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    • pp.23-31
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    • 2012
  • Busan Metropolitan City government has been implementing the local Bus Quasi-Public Operating policy since 2007. As a result of the policy, financial burden to cover financial deficit has become a big social issue. For successful settlement of the policy, the government should be able to gradually cut off the financial support for the deficit by continuously increasing the bus demand, which can be accomplished by providing more convenient bus services. The weather conditions that affect the public transportation demand include rain, fog and snow. They affect the mode choice for public transportation use, which in turn results in decrease in bus demand. In short, the adverse weather conditions result in significant profit loss of bus transportation, and consequently it financially burdens the City of Busan. In this research, the pattern of travelers' use of transportation modes given various weather conditions was analyzed. In addition, the reasons why people transfer from one to other transportation modes were analyzed by conducting a field survey, and policy implications on desirable public transportation facilities and transfer system were discussed.

Analysis of User Demand Characteristics of Currently-established Night Bus in Seoul by Using Smart Card Data : Case Study on Gangnam Station (스마트카드 데이터를 이용한 심야버스 이용수요 특성분석 : 강남역을 중심으로)

  • Kim, Min ju;Lee, Young ihn
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.1
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    • pp.101-116
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    • 2017
  • This Study estimates the actual night traffic using the smart card data used by most of the public transportation users, and compares it with the current night bus routes by KT Telecom based on the night time call volume. In order to compare the current night bus and night trips evaluated by smart card data, we presented indicators related to the degree of matching, and estimated the volume of service currently provided. The unique approach of the study is that we chose subway station instead of bus stop for the unit of the study. Bus stops has their complexity in a way that stops with same name could belong to different administrative area depending on its direction. For this reason, we decided to use subway station and defined its adjacent administrative district as the scope of influence. Since night bus is the primary means of transportation during the late night, it is anticipated that they will be able to provide better service by calculating the actual traffic and selecting the routes.

A General Equilibrium Model for Effect Analysis of Bus-Exclusive Lane on Expressway (일반균형이론을 이용한 고속도로 버스전용차로 효과분석모형)

  • 조중래;하혜종
    • Journal of Korean Society of Transportation
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    • v.16 no.3
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    • pp.123-136
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    • 1998
  • 본 연구에서는 일반균형이론을 이용하여 버스전용차로의 효과분석모형을 정립하였 고, 이 모형을 이용하여 경부고속도로의 버스 전용차로에 대한 효과분석을 수행하였다. 본 연구에서 제안된 버스전용차로 효과분석모형에 있어 수요모형으로는 로짓 모형을 사용하였 고, 서비스모형, 즉 공급모형으로는 지체함 수식을 사용하였다. 이를 통하여 버스전용차로 설치에 따른 교통수단간 전환수요를 내생화 하였다. 경부고속도로를 대상으로 한 사례분석 의 결과, 버스전용차로의 효과를 극대화하는 혼잡수준이 존재한다는 것과, 버스전용차를 설 치할 경우 교통수단간의 수요전이효과에 따라 버스뿐만 아니라 일반 차로를 이용하는 승용 차의 통행여건도 개선된다는 사실을 발견하였다.

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A Study on Categorizing the Types of Transit Accessibility by Residence and Working Place and Identifying its Association to Personal Transit Travel Frequency (주거와 직장의 대중교통 접근성 유형화와 대중교통 통행발생량과의 연관성에 관한 연구)

  • Sung, Hyungun
    • Journal of Korean Society of Transportation
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    • v.31 no.2
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    • pp.20-32
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    • 2013
  • This study is aimed at identifying the relationship of transit accessibility types to its related travel frequency in the Seoul metropolitan area. A multi-level poisson regression model is employed after categorizing transit accessibility into 18 types based on locations of residential and work workplace. Analysis results offer three policy implications in improving transit use in the Seoul metropolitan area. First, increase in transit ridership can be more effectively attained when policies concerning both competitive and complementary relationships between bus and rail transit are incorporated. Second, transfer system needs to be focused on such two modal perspectives as one travels from Seoul to suburban area and residential areas given the fact that walking accessibility to bus transit is good but that to rail transit is poor. Third, it is more effective to emphasize rail transit priority rather than bus transit, especially for the travel from suburban area to the city of Seoul in order to increase transit ridership.

Development and Evaluation of Real-time Travel Time Forecasting Model: Nonparametric Regression Analysis for the Seoul Transit System (비모수 회귀분석을 이용한 실시간 통행시간 예측 기법 개발 및 평가 (서울시 버스를 중심으로))

  • Park, Sin-Hyeong;Jeong, Yeon-Jeong;Kim, Chang-Ho
    • Journal of Korean Society of Transportation
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    • v.24 no.1 s.87
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    • pp.109-120
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    • 2006
  • Since the 1st of July, 2004, the public transport system of the Seoul metropolitan area has been rearranged. In the new system, bus lines are divided into 4 classes-wide area, arterial road, branch, and rotation lines with renewed fare system based on the total distance travelled. Since central control center known as the Bus Management System (BMS) integrates the entire system operation. it now becomes feasible to collect travel information and provide it to the users scientifically and systematically. The Purpose of this study is to forecast transit travel time using real-time traffic data coming from both buses and subway. This is significant contribution since provision of real-time transit information and easy access to it would most likely boost the use of mass transit system, alleviating roadway congestion in the metropolitan area.

Development of a Model for Dynamic Station Assignmentto Optimize Demand Responsive Transit Operation (수요대응형 모빌리티 최적 운영을 위한 동적정류장 배정 모형 개발)

  • Kim, Jinju;Bang, Soohyuk
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.17-34
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    • 2022
  • This paper develops a model for dynamic station assignment to optimize the Demand Responsive Transit (DRT) operation. In the process of optimization, we use the bus travel time as a variable for DRT management. In addition, walking time, waiting time, and delay due to detour to take other passengers (detour time) are added as optimization variables and entered for each DRT passenger. Based on a network around Anaheim, California, reserved origins and destinations of passengers are assigned to each demand responsive bus, using K-means clustering. We create a model for selecting the dynamic station and bus route and use Non-dominated Sorting Genetic Algorithm-III to analyze seven scenarios composed combination of the variables. The result of the study concluded that if the DRT operation is optimized for the DRT management, then the bus travel time and waiting time should be considered in the optimization. Moreover, it was concluded that the bus travel time, walking time, and detour time are required for the passenger.

Guideline of Exclusive Bus and/or Truck Lane by FREFLO and INTEGRATION Models (FREFLO와 INTEGRATION 모형을 이용한 버스/트럭 전용차로 설치기준에 관한 연구)

  • 엄명순;장명순
    • Journal of Korean Society of Transportation
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    • v.18 no.2
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    • pp.7-16
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    • 2000
  • This study Presents an guideline of the exclusive bus and/or truck lane on 8 lanes freeways using FREFLO model and INTEGRATiON model. Four alternatives : do nothing, bus exclusive lane, truck exclusive lane, bus and truck exclusive lane, were evaluated using average daily vehicle travel time as measures of effectiveness. It is found that bus and truck exclusive lane is the most effective alternative reducing total travel time by 7% when ADT is below 80,000 vehicle/day. However, when ADT is above 80,000 vehicle/day and bus Proportion is above 12%, bus exclusive lane is the most effective alternative reducing total travel time by more than 5.6%. It is further found that INTEGRATION, the stochastic and microscopic model, is more sensitive than FREFLO, the deterministic and macroscopic model, in evaluating the effectiveness of four alternatives.

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A Study on Low-Floor Bus Routes Selection - Focused on the Case of Jeollabuk-Do - (저상버스 노선선정 방안에 관한 연구 -전라북도 사례를 중심으로-)

  • Lee, Chang-Hyun;Kim, Sang-Youp;Kim, Jai-Sung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.4
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    • pp.73-85
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    • 2014
  • Approaching to aging society with increasing transportation vulnerable, most developed countries has positively promote low-floor bus. Such circumstance in Korea has plan to introduce low-floor bus to intra-city bus system which accounted for 30 percent of total number of buses however there is no specific operating plan for this matter. According to the revealed preference study on bus service, the study shows that the efficiency of low-floor is relatively low than that of other buses, therefore, it is necessary to establish feasible plan for bus route selection. Thus, this study is to conduct research on analyzing trip characteristics of transportation vulnerable and establish bus route selection measures for low-floor bus. The result from the survey in Jeollabuk-do Province reveals that the trip purpose of transportation vulnerable is mainly for welfare and medical service, which was made less than 6 times a week. Futhermore, 37.6 percent of transportation vulnerable use buses, thus, it is essential to improve its service quality for enhancing user's convenience and safety. In that transportation vulnerable O-D needs to be established and forecasts future demand for selecting optimal bus route. According to the estimation, route passing through densely populated areas with transportation vulnerable should take the first priority, city circular and other route would be next. Moreover, it is economically efficient that areas populated more than 200,000 with fixed route and less than 200,000 with limited route responsive to demands would be feasible plans. This study will have greater an impact on transportation planning and further research on transportation vulnerable.

Integrated Equity Analysis Based on Travel Behavior and Transportation Infrastructure: In Gyeonggi-Do Case (교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석: 경기도를 중심으로)

  • Bin, Miyoung;Lee, Won Do;Moon, Juback;Joh, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.31 no.4
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    • pp.47-57
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    • 2013
  • This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.