• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.145-157
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• 2004

Microscopic freeway simulation models project the uncertain values of performance measures for subject traffic conditions by explaining drivers' driving behavior with lane changing and car-following models. However, the existing lane changing models are limited to gap acceptance oriented passive behavior of drivers and not able to capture more-or-less aggressive driving behavior(e.g. cut-in lane changing) ordinarily obseved in field. This paper suggests the definition of cut-inlane changing and presents its characteristics based on the findings from two different freeway on- and off-ramp sections. In addition, this paper proposes a new lane changing model capable of handling both passive and active drivers' driving behavior for better performance of simulations. The proposed lane changing model was tested with Hanyang Simulatin (HYTSIM), a microscopic freeway simulation program developed for this study. The HYTSIM simulation results reflecting the performance of the proposed lane changing model were compared against the field data. The test results showed that the distribution of gaps collected when vehicles change lanes were statistically identical to the field data at 95% confidence level.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.133-144
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• 2001

The purpose of this study is to develop micro simulation model for large-scale network with driver's behavior model. This study is performed for uninterrupted flow road section. And this model is developed to simulate traffic flow of the real network with unique geometric structure. The vehicle transmission and drivers' behavior model based on the exiting Cellular Automata approach.

• Journal of Energy Engineering
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• v.8
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• pp.3-18
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• 1999

에너지 수요전망을 위하여 상향식(bottom-up) 모형인 LEAP(Long-range Energy Alternatives Planning System) 모형을 이용하였다. 본 모형에서는 기본적으로 최종에너지 소비부문을 산업, 수송, 가정, 상업의 4부문으로 구분하여, 각 부문별 소비행태 및 수요 특성을 반영하였다. (중략)

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.145-154
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• 2003

Multilevel and Multivariate Structural Equation Mpdel is applied to handle the hierarchical nature of the data and explain complex relationship among socioeconomic factors of individuals and household, activity participation, and travel behavior using Puset Sound Transportation Panel data. From analysis, variations of individual activity participation and travel behavior can be divided into two categories : Within-household variation and Between-households variation. Empirical results show that the interdependency index(p) of variables for household members within a household is between 0.13 and 0.33 indicating high interdependency. These results suggest that Multilevel and Multivariate SEM approach is an appropriate modeling methodology and gives additional information for activity participation and travel behavior. Also most of personal and household characteristics influence on activity participation and travel behavior within a household as well as between households.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.89-102
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• 2006

The purpose of this paper is to develop a dynamic OD estimating model to overcome the limitation of depicting teal situations in dynamic simulation models based on static OD trip. To estimate dynamic OD matrix we used the hybrid discrete choice model(called the 'Demand Simulation Model'), which combines travel departure time with travel mode and travel path. Using this Demand Simulation Model, we deduced that the traveler chooses the departure time and mode simultaneously, and then choose his/her travel path over the given situation In this paper. we developed a hybrid simulation model by joining a demand simulation model and the supply simulation model (called LiCROSIM-P) which was Previously developed. We simulated the hybrid simulation model for dependent/independent networks which have two origins and one destination. The simulation results showed that AGtt(Average gap expected travel time and simulated travel time) did not converge, but average schedule delay gap converged to a stable state in transportation network consisted of multiple origins and destinations, multiple paths, freeways and some intersections controlled by signal. We present that the hybrid simulation model can estimate dynamic OD and analyze the effectiveness by changing the attributes or the traveler and networks. Thus, the hybrid simulation model can analyze the effectiveness that reflects changing departure times, travel modes and travel paths by demand management Policy, changing network facilities, traffic information supplies. and so on.

• Journal of Korean Society of Transportation
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• v.1 no.1
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• pp.64-81
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• 1983

소비자 행태에 관한 신고전 경제이론을 통행수요의 분석에 그대로 적용하는데 문제 가 되는 특기 사항으로는 운임이외에 통행시간과 같은 서어비스 질도 통행수단의 선택에 영 향을 미친다는 점과 특정 두지점간의 통행에서 동일한 소비자도 여러 수송수단을 이용한다 는 점을 들수 있다. 본 연구의 주제는 이와같은 통행수요의 독특한 특성을 반영할 수 있는 소비자의 효용최대화모형의 설정과 이 모형에서 유도된 수요함수의 구조를 분석함에 있다. 상술하면, 통행시간 가치의 불확실성 아래에서 효용을 극대화하는 의사결정문제를 Stochastic Programming 모형으로 표현하였다. 또한 이 모형에서 유도된 특성 통행수단의 수요함수는 이 수단이 가장 유리한 시간가치의 범위에 대한 부정적분으로 표현되며 이 적분 범위와 피적분함수는 모든 경쟁수단의 운임과 통행수단의 함수로 정의됨을 증명하였다. 또 한 수요함수는 통행수요에 관한 통계분석모형에서 묵시적으로 가정되고 있는 통행수단간 대 체성(Property of gross substitute)과 대각방향우세성(Property of diagonal dominance)등의 특성을 가지고 있음을 보여 주었다.

• Proceedings of the KOR-KST Conference
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• 1995.12a
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• pp.111-124
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• 1995

첨단 교통 체계(Intelligent Transport Systems)의 중요한 요소인 첨단 교통 관리 체계(Advanced Traffic Management Systems)의 성공 여부는 교통정보를 어떻게 제공하고 통제하는데 의존하다. 즉, 정보 제공 방식과 이데 대한 운전자의 반응을 정확하게 파악하고 예측하여야 ITS를 성공적으로 구축할 수 있다. 이 논문에서는 동적 차량 길잡이 장치의 효용성을 평가하기 위한 확률적 통행배정모형을 개발하는 것이다. 개발된 통행배정모형은 운전자의 동적행태조정(Dynamic Behavioural Adjustment)을 명백하게 확솔 과정(Stochastic Process)으로 표현하여 기존의 모형에 비해 통해자들의 행태를 더욱 실제적으로 반영한다. 특히, 각 통행자들에게 K개의 최소경로시간을 제공해줌으로 인하여 통행자의 노선선택에 대한 선택폭을 증가시켜준다. 통행경로의 선택폭의 증가는 쟁점으로 대두되는 문제(교통항제소에서는 차량 길잡이 보유 운전자에게 체계최적(System Optimum)와 이용자최적(User Equilibrium)중 어떠한 원칙하에 교통정보를 제공하여야 하는가에 대한 해결 방안이다. 왜냐하면 만약 교통급제소에서 운전자에게 통행정보를 체계 최상을 하기 위해 정보를 제공하고자 하면, 길잡이 장착 운전자는 더 이상 제공된 정보를 따르지 않고 자기 스스로의 경에 의해 이용자 최상을 달성하고자 할 것이다. 이 논문의 목적은 이러한 복잡한 통행자의 경로선택행위를 반영하는 확률적 평형 통행 배정 모형을 여러가지 통계기법을 도입하여 개발하는 것이다.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.41-48
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• 2004

This research develops a model of participation and scheduling choice of urban leisure activity. A nested legit model was found to be an appropriate approach. Data collected from Deagu and Pohang City were used for empirical estimation of model parameters. The empirical results confirmed several behavioral aspects associated with participation and scheduling choice of urban leisure activity. The paper presents a discussion on implications that can be inferred from the empirical results. Finally, future potential research question are also discussed.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.130-142
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• 2010

The purpose of this paper is to propose applying agent-based model(ABM) for analyzing logistics system. Logistics problems become more complex and multi-faceted. As a result, the behavior of the system becomes more and more difficult to predict, we see the limitations of the traditional top-down approach in handling complexity. The ABM, that is the bottom-up approach, provides new modeling framework in system modeling. The ABM focuses on the interactions of subsystem or agents in whole system. Then the macroscopic picture of the whole system behavior is emerged as the microscopic interactions of agents are aggregated. The ABM assumes that each agent acts based on simple rules learned from dynamic interactions among other agents or its surrounding environment. The ABM has a great advantage in understanding emergent phenomenon that cannot be explained only through considering individual attributes. The ABM is an extremely useful method to analyze complex system such as logistics system. Therefore, the great research efforts and applications on the ABM to logistics system are encouraged in future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.63-75
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• 2018

A Service Area plays an important role in preventing accidents in advance by creating a space for long distance drivers or drowsy drivers to rest. Therefore, proper positioning of the expressway service area is essential, and it is important to analyze accurate demand forecasting and user travel behavior. Thus, this study analysis travel behavior and developed odel of the probability of using the service area by using the DSRC data collected by the RSE on the highway. According to the analysis, the usage behavior of highway service areas was most frequently when travel time was 90 minutes or more on weekdays and 70 minutes or more on weekends. The utilization rate of the service area estimated from the probability model of use of the rest area in this study was 1 % to 2 % error. The results of this study are meaningful in analyzing the behavior of the use of rest areas using the structured data and can be used as a differentiated strategy for selecting the location of rest areas and enhancing the service level of users.