• Title/Summary/Keyword: transport route choice model

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Empirical Study of Multimodal Transport Route Choice Model in Freight Transport between Mongolia and Korea

  • Ganbat, Enkhtsetseg;Kim, Hwan-Seong
    • Journal of Navigation and Port Research
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    • v.39 no.5
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    • pp.409-415
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    • 2015
  • According to the globalization of world economy on distribution and sales, logistics and transportation parts are playing an important role. Especially, they have to decide what is the key factor of route choice model and how to choose the right transport route in multimodal transport system. By considering the key factors in rote choice model for freight forwarders between Mongolia and Korea, this paper propose 4 main factors: Cost, Delivery time, Freight and Logistics service with 13 sub factors. The importance of factors is surveyed base on AHP through interview with freight forwarders. In results, the empirical insights about current status of Mongolian forwarders are provided with different factors between transportation modes. Expecially, the Time factor is a role factor to choose transport route for air transportation forwarders.

Empirical Study of Multimodal Transport Route Choice Model in Freight Transport between Korea and Mongolia

  • Ganbat, Enkhtsetseg;Kim, Hwan-Seong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.10a
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    • pp.241-242
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    • 2015
  • According to globalization of world economy on distribution and sales, logistics and transportation parts are play important role. Especially, it important to know and study how to choose right transport route and which is the key factor of route choice model in multimodal transport system. Thus this study aims to consider 4 main factors: cost, delivery time, freight, and logistics service factors additionally dividing into 13 sub factors and object is forwarders between Mongolia and Korean freight transport. The survey is based on AHP through interview with company officials. The paper provides empirical insights about current status of Mongolian forwarders and difference of the important factors between transportation modes. Result shows that time factor is role factor to choose transport route and then cost factors. Additionally, this study shows 2 different route choose factors between air transport and shipping transport forwarders.

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A Study on Route Choice Models for Rail Transit using the Stated Preference data (선호의식데이터를 이용한 철도경로선택모델에 관한 연구)

  • 정병두
    • Proceedings of the KSR Conference
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    • 1998.05a
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    • pp.203-210
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    • 1998
  • Rail transport has grown over the Past decades, and rail networks have highly concentrated in urban area, and it is possible for rail passengers to choose a route anions a number of alternative routes. Analysis of factors influencing the choice of route, are required to estimate the rail travel demand of each route. In this paper, we describes route choice model for the transit assignment and characteristics of the route choice(i.e., by relative travel time and fares), and attempts to estimate travel demand of new rail transit based on the slated preference(SP) survey data of Nanko Porttown, which is located in Osaka, Japan.

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Federated Learning-based Route Choice Modeling for Preserving Driver's Privacy in Transportation Big Data Application (교통 빅데이터 활용 시 개인 정보 보호를 위한 연합학습 기반의 경로 선택 모델링)

  • Jisup Shim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.157-167
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    • 2023
  • The use of big data for transportation often involves using data that includes personal information, such as the driver's driving routes and coordinates. This study explores the creation of a route choice prediction model using a large dataset from mobile navigation apps using federated learning. This privacy-focused method used distributed computing and individual device usage. This study established preprocessing and analysis methods for driver data that can be used in route choice modeling and compared the performance and characteristics of widely used learning methods with federated learning methods. The performance of the model through federated learning did not show significantly superior results compared to previous models, but there was no substantial difference in the prediction accuracy. In conclusion, federated learning-based prediction models can be utilized appropriately in areas sensitive to privacy without requiring relatively high predictive accuracy, such as a driver's preferred route choice.

Equilibrium of transport mode choice in logit model (로짓 수단선택모형의 균형연구)

  • Im, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.28 no.5
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    • pp.131-139
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    • 2010
  • The transport mode choice problem is to determine which of the alternative transport modes connecting an origin and destination will be used by a traveler. Most of the research relating to transport mode choice have mainly been focused on modeling, properties, and applications of the model, but rarely were concerned with equilibrium among the modes. This paper proves the equilibrium among the modes by using a logit mode choice model, and then verifies it with the Korean Transport Database (KTDB). In order to obtain such an equilibrium, this paper also presents a solution algorithm based on the fixed point theorem. The algorithm was tested with an example and confirmed the equilibrium solution.

Development and Test of a Macro Traffic Simulation Model for Urban Traffic Management (도시 간선도로 교통류관리를 위한 교통모형의 개발 및 검증)

  • 이인원
    • Journal of Korean Society of Transportation
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    • v.13 no.4
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    • pp.79-103
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    • 1995
  • The elasticity of a model is considered most important. Without showing the proper elasticity any model cannot provide useful information for decision making. This paper demonstrates a macro model which can generate dynamic transport informations every 15 minutes. Without the Wardrop principles and the monotonicity assumptions for the link travel time and link volume relationship, the basic elements of this new modeling approache are composed of link density simulation, stochastic incremental route choice, departure time choice, destination choice and mode choice. The elasticity of the proposed model is examined based on elasticity equations and simulation results. Also the transferability from a mega city like Seoul to a big city like Daejon is demonstrated for the choice model. The issues centering around the dynamic relations among density(k), speed(u), and flow rate(v) are also discussed for the modeling of highly congested situations.

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A Logit Type of Public Transit Trip Assignment Model Considering Stepwise Transfer Coefficients (Stepwise 환승계수를 고려한 Logit 유형 대중교통통행배정모형)

  • SHIN, Seongil;BAIK, Namcheol
    • Journal of Korean Society of Transportation
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    • v.34 no.6
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    • pp.570-579
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    • 2016
  • This study proposes a concept of Stepwise Transfer Coefficient(STC) which implies greater transfer cost with increasing the number of transfers. Thus, the public transport information system provides the choice sets of travel routes by the consideration of not only transportation time but also the optimum number of transfers. However, path choice problems that involve STC are found to include non additive cost, which requires additional route enumeration works. Discussions on route enumeration in actual transportation networks is very complicated, thereby warranting a theoretical examination of route search considering STC. From these points of view, this study results in a probability based transit trip assignment model including STC. This research also uses incoming link based entire route deletion method. The entire route deletion method proposed herein simplifies construction of an aggregation of possible routes by theoretically supporting the process of enumeration of the different routes from origin to destination. Conclusively, the STC reflected route based logit model is proposed as a public transportation transit trip assignment model.

Development of Bicyclists' Route Choice Model Considering Slope Gradient (경사도 에너지 소모량을 고려한 자전거 경로 선택 모형 개발)

  • Lee, Kyu-Jin;Ryu, Ingon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.3
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    • pp.62-74
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    • 2020
  • Although the government and local governments devote efforts to activate bicycles, they only access to the supply infrastructure such as bike lanes and the public bicycle rental service centers without considering the measures to overcome the geographical constraints of slope. Therefore, this study constructs bicyclist's energy consumption estimation model through experimental methods of slope gradient and heart rate measurement and suggest the bicycle route choice model which could minimize the energy by the slope gradient. After calculating the RMSE of the estimated energy consumption by applying this model to the simulation section, it is confirmed to be 41% better than the model which does not reflect slope gradient. The results of this study are expected to be applied to the bicycle infrastructure planning that considers both longitude and transverse of bike lanes and the algorithm of bicycle route guidance system in the future.

Rationality of Passengers' Route Choice Considering Smart Card Tag Constraints : Focused on Seoul Metropolitan Subway Network (교통카드 Tag 제약을 반영한 통행자 경로선택에 대한 합리성 평가 연구 : 수도권 지하철 네트워크를 중심으로)

  • Lee, Mee Young;Nam, Doohee;Shim, Dae Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.14-25
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    • 2020
  • This research proposes a methodology to evaluate the rationality of passengers' route choice who make trips within Seoul metropolitan subway based on smart card data. The rationality of user route choice is divided into the degree of determinacy and similarity concepts as basic principle. Determinacy is the degree to which the route selected by the passenger is identical to the system optimal path. Similarity indicates the degree to which the route is similar to the system optimal path. The K-path search method is used for path enumeration, which allows for measurement of determinacy. To assess determinacy within similarity, transfer tag data of private operators is used. Consequently, the concept of similarity applied to the model is such that the passenger's path choice is identical to the path taken using the tag reader. Results show that the determinacy of appearance of the shortest path (K=1) is 90.4%, while the similarity of appearance as K=(2-10) is 7.9%, summing to 98.3%. This indicates that trips on the metropolitan subway network are being rationally explained. 1.7% of irrational trips are attributed to the unexplainable error term that occurs due to the diversity of passengers.

Developing a Transit Assignment Model Considering Waiting Time Variation and Line Capacity (대기시간변동 및 용량을 고려한 대중교통 통행배정모형)

  • Kim, Jin Howan;Kim, Dong Sun;Kim, Ji Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.5
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    • pp.1525-1534
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    • 2014
  • In recent years, the passengers are likely to decide their route on impulse due to the development of the integrated public transport system, and real-time information system. Especially, public transport fare integration in Seoul Metropolitan area, 2004 makes them not to have resistance about changing the modes or routes and their route choice is most effected by the degree of congestion. Assignment model have limitations to describe route changes by congestion. In this study, the concept of a link cost function used in road assignment and Effective frequency is introduced to describe the passengers' behavior when the capacity of public transport is over and the waiting time variation. Two situations, new transit line operation and accident, are set up to validate the model, as a result of the transit assignment by this model, the traffic on networks is not over the capacity. It is expected that this study will be of help to reflect the various behaviors in transit assignments.