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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Society of Transportation
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Journal DOI :
Korean Society of Transportation
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Volume & Issues
Volume 22, Issue 7 - Dec 2004
Volume 22, Issue 4 - Aug 2004
Volume 22, Issue 3 - Jun 2004
Volume 22, Issue 2 - Apr 2004
Volume 22, Issue 1 - Feb 2004
Volume 22, Issue 6 - Jan 2004
Volume 22, Issue 5 - Jan 2004
Selecting the target year
Operational Efficiency Analysis Using DEA Approach for the Major Airports in Asia
Lee, Yeong-Heok ; Kim, Eun-Jung ; Kim, Do-Hyun ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 7~18
There have been various research in analyzing airport productivity such as measuring total factor productivity using the models of translog cost function. DEA(Data Envelopment Analysis) model is very useful in measuring productivity with linear programming when the output is not clearly identified and measured quantitatively in such complex facilities as airport. This study is to measure airport productivity using DEA approach for Northeast Asia. Seven international airports were analyzed including Incheon International Airport in Korea, Cheklapkok Airport in Hongkong, Narita Airport in Japan, and Changi Airport in Singapore. With the productivity measured, we can identify one of the important aspects of comparative advantage in hub competition in Asia.
Optimum number of berths for Integrated Freight Terminal considering loading characteristic of trucks
Jung, Hun-Young ; Lee, Sang-Yong ; Bak, Eun-Sang ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 19~30
Due to the inefficient operation of the existing logistic facilities, the complicated distribution structure, and closed utilization of logistic information are causing high logistic costs. The general improvement in the distribution structure and the expansion of the logistic facilities are needed for solving these problems. However, existing unit-scale forecast is not considering the loading and unloading characteristics of the trucks and the improvement of operation efficiency from the mechanization and automation of the loading and unloading works. The queuing theory based on the status quo of the cargo trucks to the cargo terminals is considered in this study. The optimal scale estimation method(OSCM) which the loading and unloading characteristics of the cargo trucks were taken into consideration was suggested. Also, the relationship between the optimal scale of the cargo terminal and the mechanization, automation, and informationization of the present loading and unloading system was investigated. As a result, it showed that the regularity of the truck arrival and service times had less influence on the scale of the cargo terminal, but the improvement of the loading and unloading speeds and the service rate of the trucks did more influence on it.
Analysis of Accident Modification Factors (AMF) for Roadway-Rail Grade Crossing Accidents with Baysian Method
Oh, Ju-Taek ; Choi, Jae-Won ; Park, Dong-Joo ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 31~42
This study develops Accident Modification Factors (AMF) of countermeasures with Baysian method which are newly proposed for reducing Roadway-Rail grade crossing accidents. This study proposes a new "Bayesian Analytical Framework" for countermeasure assessment which combines "Subjective" Prior Information with "Logical" based Information. The newly proposed "Bayesian Analytical Framework" consists of the following three steps: The 1st step - Countermeasure Selection, Choice of Participants, Selection of Crashes; The 2nd step-Development of Crash History Manual and Countermeasure Evaluation Manual; The 3rd step-Development of AMFs through sound statistical tests. This study used the Komogorov-Smirnov(K-S) Test to determine whether two unknown distribution functions associated with the two populations are identical. The results of the study are that individual responses did not meet the K-S test of identical distributions. while individual vs. group distributions are identical. This indicates that combining the input of several people reduces the impact of individual subjectivity and assumptions and is important for developing a repeatable distribution to develop sound AMFs of countermeasures for reducing Roadway-Rail grade crossing accidents. The procedures of the AMF development conducted in this study can be used to estimate the safety effects of countermeasures for road segments and intersections, in addition to Roadway-Rail grade crossings.
A Simplified Analytical Method for the Capacity and Level of Service of Signalized Intersections
Hong, Soon-Jin ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 43~56
The KHCM procedure is a micro level analysis at signalized intersections requiring a lot of input variables and complex computations. The research was to investigate the possibility of simplifying the analysis procedures by using the generalized or the combined variables that less influence on the adjusted traffic volume and through-car equivalents of left or right turns. It was also tried to make lane grouping into directional flow ratio(v/s) based on a field surveys. The maximum and minimum values of each variables were compared with each other through the KHCM analysis procedures in terms of control delay. The lane grouping and the synthetical influence of a simplified method was evaluated with the scenario built in prevailing maximum and minimum conditions. The study showed that the control delay was not significantly sensitive to the selected variables and the lane grouping and their synthetical influence as well.
An Study on Improvement of Vehicle Recall Systems
Sung, Nak-Moon ; Oh, Jae-Hak ; Kim, Si-Gon ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 57~68
It is very important to construct advanced recall systems in aspects of developing auto industry through strengthening international competitive power, as well as protecting the lives from traffic crashes by vehicle defects. Under the self-certification system, there may be high probability to be defected vehicles because vehicles are sold without testing and approval of governmental sides, even though the system was introduced to give an autonomy to manufactures. Accordingly, it is not optional, but essential concerns to build advanced recall system. As a result of analysis, manufacturers and consumers ask for improvements of domestic recall systems. In this study, policy guidelines were provided on the basis of analyses on several regulations and questionnaires of consumers and manufacturers. The policy guidelines are clearness of recall subjects, prompt collection of vehicle defect information, objective determination of vehicle defects, continuous monitoring of vehicle recalls, etc.
An Introductory Study for Developing the Urban Street Design Manual
Kim, Eung-Cheol ; Oh, Ju-Taek ; Kang, Jin-Gu ; Choi, Yun-Sook ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 69~82
Urbanization of Korea reaches up to 90% in the year 2003. What that means is that 90% of population live in the city areas. This phenomenon emphasizes importances of urban streets where people feel accessibility and level of environmental amenity, enjoy recreational activity, and live for a life. However, the current Korean manual for designing road is not enough to accomodate various activities of urban streets since its target is basically rural roads. This study proposes the necessity of a new design manual of urban streets via analyzing the practices of the development countries, and aims to recommend what should be prepared and how those are defined for developing a design manual of urban streets in Korea. It is inevitable that the design manual of urban streets be based on the flexibility and diversity. The manual should be made through consensus among the related stakeholders such as designers, residents and officials. And it also should reflect the characteristics of each city. It is somehow true that without the manual, designing of urban streets can be done although it is not fully acceptable. This does not mean that the necessity of the manual can be ignored. Rather, we should remember that the related stakeholders may not want to reveal what are hidden in developing the design manual of urban streets. What are hidden is that developing the design manual of urban streets is difficult problem to solve. It is a wish that this study triggers the on-going research and interests on developing the design manual of urban streets.
A Kth Shortest Path Algorithm with the Link-Based Label Setting Approach and Its Application for An Alternative Routes Selection
Lee, Mee-Young ; Baik, Nam-Cheol ; Kang, Weon-Eui ; Shin, Seong-Il ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 85~96
Given a Path represented by a sequence of link numbers in a transportation network, the reasonable path is defined as a path that any link is appeared multiple times in it. Application of the link labelmethod(LLM) to the shortest path algorithms(SPA) enables to model the reasonable path choice behavior in urban networks. This study aims at expanding the LLM to a Kth shortest path algorithms(KPSA), which adopts the node label setting method. The small-scaled network test demonstrated that the proposed algorithm works correctly and the revised Sioux fall network test showed that the path choice behaviors are reasonably reflected. In the large-scaled network based on the South Korea peninsula, drivers' route diversion perceptions are included as cost terms in total cost. The algorithm may be applied as an alternative route information tools for the deployment of ATIS.
A Study on Human Sensitivity Engineered Internal Landscape by Lighting Colors in Tunnels using LISREL Model
Park, Il-Dong ; Ji, Kil-Ryong ; Imm, Sung-bin ; Kum, Ki-Jung ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 97~106
It is a Known fact that driving through long tunnel increases possibility of traffic accident because of psychological feeling of insecurity and dispersion of drivers' concentration since driving in narrow and limited space for a longtime. It, therefore, results in raising transportation and environment problems, such as traffic accident difficult to be properly dealt with and ventilation. This study aims at proposing a method of augmenting driving amenity by improving the internal lighting facilities in the tunnel. The study is conducted by investigating internal landscapes of tunnels by lighting colors, which are currently being operated. The Color Planning System (CPS), developed by SHARP Co. Ltd, is exploited for selecting adjective that express the sensitivity image on lighting colors. The CPS is an example that applies to sensitivity of human body for products design development. The CPS takes the following process to define the color : 1) expressing "Pvoduct's Image" as "A Word (adjective)" and 2) referring "A Word" to "Image Scale", and 3) determining the color through this "Image Panel". The study is processed by making a questionnaire using the semantic differential (SD) scale, grasping the consciousness structure of experimental persons through the Factor Analysis, and building a model in which dependent variable is "Degree of Preference" about internal landscape in tunnel using LISREL(LInear Structural RELations).
Predictive and Strategic VMS Control to Cope with Overreaction and Concentration Problem
Park, Eun-Mi ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 107~116
A predictive feedback control algorithm for VMS is designed considering overreaction and concentration problems. The algorithm is developed especially for a simple hypothetical network with two alternative routes; one bypass and the other with a physical bottleneck. Major features of the proposed algorithm are as follows: 1. It is assumed that there exists a real-time traffic monitoring system. 2. In the short-term prediction module, mainline volume, average speeds for each route, on- and off-ramp volume, etc. for the next time are estimated. 3. In dynamic capacity estimation module, real-time capacity is estimated as a function of temporal and spatial pattern of congestion evolution by kinamatic wave theory. 4. System optimal traffic split among alternative routes is estimated by equalizing residual capacities of the alternative routes. 5. Traffic allocation among alternative routes as a result of VMS message display is predicted in advance. 6. VMS message strategy is updated dependent upon the discrepancy between the system optimal and the predicted traffic splits among alternative routes. There remain further researches to sophisticate the proposed algorithm. The short-term prediction of traffic variables and the calculation of dynamic capacity proposed in this research should examined with extensive real-world data. The message set for the VMS message regulator module should be designed in view of the drivers' sensitivity to VMS messages.
Development of BPR Functions with Truck Traffic Impacts for Network Assignment
Yun, Seong-Soon ; Yun, Dae-Sic ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 117~134
Truck traffic accounts for a substantial fraction of the traffic stream in many regions and is often the source of localized traffic congestion, potential parking and safety problems. Truck trips tend to be ignored or treated superficially in travel demand models. It reduces the effectiveness and accuracy of travel demand forecasting and may result in misguided transportation policy and project decisions. This paper presents the development of speed-flow relationships with truck impacts based on CORSIM simulation results in order to enhance travel demand model by incorporating truck trips. The traditional BPR(Bureau of Public Road) function representing the speed-flow relationships for roadway facilities is modified to specifically include the impacts of truck traffics. A number of new speed-flow functions have been developed based on CORSIM simulation results for freeways and urban arterials.
Development of a n-path algorithm for providing travel information in general road network
Lim, Yong-Taek ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 135~146
For improving the effectiveness of travel information, some rational paths are needed to provide them to users driving in real road network. To meet it, k-shortest path algorithms have been used in general. Although the k-shortest path algorithm can provide several alternative paths, it has inherent limit of heavy overlapping among derived paths, which nay lead to incorrect travel information to the users. In case of considering the network consisting of several turn prohibitions popularly adopted in real world network, it makes difficult for the traditional network optimization technique to deal with. Banned and penalized turns are not described appropriately for in the standard node/link method of network definition with intersections represented by nodes only. Such problem could be solved by expansion technique adding extra links and nodes to the network for describing turn penalties, but this method could not apply to large networks as well as dynamic case due to its overwhelming additional works. This paper proposes a link-based shortest path algorithm for the travel information in real road network where exists turn prohibitions. It enables to provide efficient alternative paths under consideration of overlaps among paths. The algorithm builds each path based on the degree of overlapping between each path and stops building new path when the degree of overlapping ratio exceeds its criterion. Because proposed algorithm builds the shortest path based on the link-end cost instead or node cost and constructs path between origin and destination by link connection, the network expansion does not require. Thus it is possible to save the time or network modification and of computer running. Some numerical examples are used for test of the model proposed in the paper.
A Study on Stochastic Wave Propagation Model to Generate Various Uninterrupted Traffic Flows
Chang, Hyun-Ho ; Baek, Seung-Kirl ; Park, Jae-Beom ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 147~158
A class of SWP(Stochastic Wane Propagation) models microscopically mimics individual vehicles' stochastic behavior and traffic jam propagation with simplified car-following models based on CA(Cellular Automata) theory and macroscopically captures dynamic traffic flow relationships based on statistical physics. SWP model, a program-oriented model using both discrete time-space and integer data structure, can simulate a huge road network with high-speed computing time. However, the model has shortcomings to both the capturing of low speed within a jam microscopically and that of the density and back propagation speed of traffic congestion macroscopically because of the generation of spontaneous jam through unrealistic collision avoidance. In this paper, two additional rules are integrated into the NaSch model. The one is SMR(Stopping Maneuver Rule) to mimic vehicles' stopping process more realistically in the tail of traffic jams. the other is LAR(Low Acceleration Rule) for the explanation of low speed characteristics within traffic jams. Therefore, the CA car-following model with the two rules prevents the lockup condition within a heavily traffic density capturing both the stopping maneuver behavior in the tail of traffic jam and the low acceleration behavior within jam microscopically, and generates more various macroscopic traffic flow mechanism than NaSch model's with the explanation of propagation speed and density of traffic jam.
Development of a Fuzzy-Genetic Algorithm-based Incident Detection Model with Self-adaptation Capability
Lee, Si-Bok ; Kim, Young-Ho ;
Journal of Korean Society of Transportation, volume 22, issue 4, 2004, Pages 159~173
This study utilizes the fuzzy logic and genetic algorithm to improve the existing incident detection models by addressing the problems associated with "crisp" thresholds and model transferability (applicability). The model's major components were designed to be a set of the fuzzy inference engines, and for the self-adaptation capability the genetic algorithm was introduced in optimization(or training) of the fuzzy membership functions. This approach is often called "the hybrid of fuzzy-genetic algorithm" The model performance was tested and found to be compatible with that of the existing well-recognized models in terms of performance measures such as detection rate, false alarm rate, and detection time. This study was not an effort for simple improvement of the model performance, but an experimental attempt to incorporate new characteristics essential for the incident detection model to be universally applicable for various roadway and traffic conditions. The study results prove that the initial objective of the study was satisfied, and suggest a direction that the future research work in this area must follow.