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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 29, Issue 6 - Dec 2011
Volume 29, Issue 5 - Oct 2011
Volume 29, Issue 4 - Aug 2011
Volume 29, Issue 3 - Jun 2011
Volume 29, Issue 2 - Apr 2011
Volume 29, Issue 1 - Feb 2011
Selecting the target year
What are the Determinants to form of Air Logistics Cluster and what are their Effects (Focus on Incheon International Airport)
Park, Seon-Gyeong ; Hong, Seok-Jin ; Kim, Cheon-Su ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 7~15
Recently, airport competitiveness measure is not only passenger and cargo throughput but also value-added activities of their hinterland and airport city. That is, airport competitiveness comes from airport versus airport to airport with their own-supplied city and hinterland connected with airport to provide diversified functions. This study surveyed and analyzed how to form a cluster focused on Incheon International Airport and what are important factors to form of cluster in achieving competences. These clusters need government's political support. In this case, there was a shortage of specialized human resources in competent local suppliers, and limited informations sharing.
Effects of Zoning Structure on Travel Demand Forecasts
Han, Myeong-Ju ; Seong, Hong-Mo ; Baek, Seung-Han ; Im, Yong-Taek ; Lee, Yeong-In ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 17~27
This paper investigates some critical errors influencing travel demand estimation in Korea Transportation Data Base (KTDB), and through this investigation reasonable traffic analysis zone (TAZ) size and internal trips ratio are analyzed. With varying zone size, the accuracy of travel demand estimation is studied and appropriate level of zone size in KTDB is also presented. For this purpose zonal structure consisting of location of zone centroid, number of centroid connecters has been constructed by social economic index, and then some descriptive statistical analyses such as F-test, coefficient of correlation are performed. From the results, this paper shows that the optimum levels of zone system were various according to the order and capacity of roads, and also shows that the smaller TAZ, the less error in this research. In conclusion, in order to improve accuracy of traffic demand estimation it is necessary to make zone size smaller.
The Strategies of Transport Demand Management to Decrease the Greenhouse Gases in Transportation Part
Jeong, Do-Yeong ; Yun, Jang-Ho ; Park, Sang-U ; Kim, Ju-Yeong ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 29~38
The growing amount of using the fossil fuel is bringing about environmentally, economically serious problems like as global warming. To solve the problems, the international society has begun to decrease greenhouse gases through the international agreement like as the climate change convention. In South of Korea, it was presented practical goal of Green Development try to decrease greenhouse, which is the future 60 years vision. And, it contains the strategies of Green Development and 5th Plan of Green Development. Nowadays, the government accepted the active alternative scenario 3, which is the goal of 4% decrease in greenhouse gases until 2020's, presented by Presidential Committee on Green Growth. This study established the strategies of Transport Demand Management to decrease the greenhouse gases in transportation part, and then we measured the effect of them. As a result, if it takes effect the aggressive strategies annually, it will cut greenhouse gas pollution by 3.1%, which is 7,590,000t
, in transportation part. So, we can expect that it would be the effective policy tool to achieve the goal of government, which is the Green Development, if it controls the strategies of TDM effectively by the political needs.
The Effect of Psychological Factors of Speeding Behavior Using a Driving Simulator (Focused on Speeding Intention)
Ryu, Jun-Beom ; Sin, Yong-Gyun ; Park, Je-Jin ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 39~46
Speeding is a major cause of traffic accidents that affects the safety of pedestrians and harms drivers and their families, property and mental health. However, most researches on speeding behavior have been conducted by survey method, so the relationship between cause and effect is not clear. The reliability of the research cannot be carefully examined because most researches involve retrospective methods. It is clear that conducting experimental research is important for overcoming these limitations, but it is impossible to perform tests with real cars in real traffic situations due to the inability to control situational factors (e.g., other vehicles, traffic signal) which affect participants' behavior. A car simulator experiment was designed and the theory of planned behavior was applied to the experiment. Each participant was grouped and assigned to either high speeding intention group or low speeding intention group according to their levels of speeding intention and analyzed the difference of driving behavior indexes between two groups. The results revealed statistically significant differences between two groups on driving speed, speeding frequency, and accelerator pressure deviation. Finally, the limitations and the implications of this study were discussed.
Impact of Visual Performance on Recognition of Road and Traffic Sign
Chu, Byeong-Seon ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 47~55
The purpose of this study was to determine the legibility distance for traffic road sign and traffic sign, fixation duration and number of fixation during the time of recognition of traffic road signs under different vision conditions. This experiment was conducted on a closed-road circuit which has realistic driving road and environment Each participant drove the real vehicle for the experiment and specially built traffic road sign for the experiment and traffic road signs on the side of closed-road circuit were used. Different vision conditions were simulated using spectacle lenses to reach visual acuity 1.0 and 0.8 and it was 1.2 without spectacles and each participant tested under 3 vision conditions.. The result of this study demonstrated that there was a significant difference on legibility distance between visual acuity of 1.2 and 0.8 and there were also significant difference on fixation duration and number of fixations with smaller traffic signs. This study demonstrated the importance of vision correction for driving at night-time, also showed there would be difference on legibility distance and efficiency of eye movement such as fixation duration and number of fixation despite of satisfied visual acuity for driver's license requirement.
A Study on the Traffic Accident Offenders' PTSD Occurrence and Analysis of the Changing Mechanism of Driving Attitudes
Jang, Seok-Yong ; Jeong, Heon-Yeong ; Go, Sang-Seon ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 57~67
This study has been conducted to provide the basic materials about the occurrence structures, causes and choice of treatments of the traffic accident offenders' PTSD(Posttraumatic Stress Disorder). The results of this study can be summarized as follows. First, accident offenders', not victims', PTSD conditions, which has been only estimated until now, are measured by nationwide questioning survey. Second, accident offenders' changes of driving attitude after accidents could be typed by factors analysis in the 20 driving situations closely connected to the occurrence of traffic accidents. Third, by the t-test, the difference of driving attitudes in primary driving situations according to existence of PTSD is distinguished. Six driving situations, which are found significant by t-test, are applied to structural equation. So the variables related to PTSD and the models which analyze the attitude changes of driving are constructed. This study provides the basic materials to help the reduction and prevention of the occurrence of PTSD.
A Travel Time Prediction Model under Incidents
Jang, Won-Jae ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 71~79
Traditionally, a dynamic network model is considered as a tool for solving real-time traffic problems. One of useful and practical ways of using such models is to use it to produce and disseminate forecast travel time information so that the travelers can switch their routes from congested to less-congested or uncongested, which can enhance the performance of the network. This approach seems to be promising when the traffic congestion is severe, especially when sudden incidents happen. A consideration that should be given in implementing this method is that travel time information may affect the future traffic condition itself, creating undesirable side effects such as the over-reaction problem. Furthermore incorrect forecast travel time can make the information unreliable. In this paper, a network-wide travel time prediction model under incidents is developed. The model assumes that all drivers have access to detailed traffic information through personalized in-vehicle devices such as car navigation systems. Drivers are assumed to make their own travel choice based on the travel time information provided. A route-based stochastic variational inequality is formulated, which is used as a basic model for the travel time prediction. A diversion function is introduced to account for the motorists' willingness to divert. An inverse function of the diversion curve is derived to develop a variational inequality formulation for the travel time prediction model. Computational results illustrate the characteristics of the proposed model.
A Multi-modal Continuous Network Design Model by Using Cooperative Game Approach
Kim, Byeong-Gwan ; Lee, Yeong-In ; Im, Yong-Taek ; Im, Gang-Won ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 81~93
This research deals with the multi-modal continuous network design problem to resolve the transportation policy problems for constructing and operating transportation facilities with considering the mutual decision-making process between transportation operator and user in the multi-modal network. Particularly, in the consideration of changes in travel pattern between transport modes due to the changes in transportation policy, road network for passenger car and transit network for public transportation are considered together. In the development of network design model, more rational Stackelberg equilibrium(cooperative game) rather than more general Nash equilibrium(non-cooperative game) approach is used and sensitivity analysis considering transport mode is used. A multi-modal continuous network design model in this study is developed for the arbitrary continuous network design parameters(
) of transportation policy decisions. As examples of application and evaluation for these design parameters, the developed model is applied to calculate 1)the optimal capacity of road link in the road transport policy, 2)the optimal frequency of transit line in public transport policy and 3)the optimal modal split in transport modal share policy.
A Methodology for Driving Risk Evaluation Based on Driving Speed Choice (Focusing on Impacts of Providing In-vehicle Traffic Warning Information)
Kim, Won-Cheol ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 95~102
This paper presents a Driving Risk Model (DRM) based on driving speed choices using an Ordered Response Probit (ORP) model. The DRM is conceptualized based on the relation between speed deviation and the occurrence of crashes found by Solomon. The impacts of various driving risk factors are revealed by applying the DRM to evaluate the effectiveness of In-Vehicle Traffic Warning Information (IVTWI) in expressway driving. Regarding driving risk, the results show that: (1) the risk is lower among male drivers, those with more driving experience and those with less accident history, (2) the risk is higher when driving takes place on wet road surface, in the afternoon, and under conditions of low traffic volume, and (3) the risk is also higher on both downgraded and long curve sections. Additionally, the results provide evidence that provision of IVTWI can decrease the driving risk. The proposed DRM provides a solution for assessing the traffic safety impacts of countermeasures on roadways when there is a shortage of traffic accidents data.
Assessing Estimation Methods of the Expected Crashes using Panel Traffic Crash Data
Sin, Gang-Won ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 103~111
To evaluate highway safety countermeasures or identify high risk sites, the expected crashes for a site (or segment) have been estimated using the panel crash data. Past studies show that two different methods can be employed to estimate the expected crashes: observed crash based method and empirical Bayes (EB) method. This study conducts a simulation study to analyze how the estimation errors of the two estimates are affected by the different structures of the panel crash data and the presence of the change in safety over time. The results disclose that the estimation errors of the observed crash based estimates (i.e. the mean observed crash and comparative parallel estimate) are always greater than those of the EB estimates regardless of the structure of the panel crash data and the presence of the change in safety over time. Thus, it is highly recommended that the EB method be used in the study of traffic safety to obtain more reliable estimates for the expected crashes. In addition, this study corroborates that the estimation errors of the two estimates decrease as the analysis periods increase if safety does not change over time. Hence, it is also recommended that the 1-year analysis period used for identifying high risk sites in Korea be extended to produce more efficient estimates of the time-constant expected crashes.
Development of Auto-calibration System for Micro-Simulation Model using Aggregated Data (Case Study of Urban Express)
Lee, Ho-Sang ; Lee, Tae-Gyeong ; Ma, Guk-Jun ; Kim, Yeong-Chan ; Won, Je-Mu ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 113~123
The application of micro-simulation model has been extended farther with improvement of computer performance and development of complicated model. To make a micro-simulation model accurately replicate field traffic conditions, model calibration is very crucial. Studies on calibration of micro-simulation model have not been enough while lots of studies on calibration of macro-simulation model have been continued in our country. This paper presents an auto-calibration of parameter values in micro-simulation model(VISSIM) using genetic algorithm. RMSE(Root Mean Square Error) of collected volume on the urban expressway versus simulated volume is set as MOP(measure of performance) and objective function of optimization is set as to minimize the RMSE. Applying to urban expressway(Nae-bu circular) as a case study, it shows that RMSE of optimized parameter values decrease 60.4%(
) compared to default parameter values and the proposed auto-calibration system is very effective.
Reconstruction Analysis of Pedestrian Collision Accidents Using Fuzzy Methods
Park, Tae-Yeong ; Han, In-Hwan ;
Journal of Korean Society of Transportation, volume 29, issue 1, 2011, Pages 125~134
In order to reconstruct vehicle-pedestrian collision accidents, this paper presents a fuzzy tool to estimate accurately the impact velocity of the vehicle using parameters which could be easily collectable at the accident scene. The fuzzy rules and membership functions were set up using number of over 200 domestic and foreign data from accidents and empirical tests and 700 data from multibody simulation experiments. The developed fuzzy tool deduces the category of pedestrian trajectory and impact speed of the vehicle using 4 membership functions and 2 logic rules. The membership function of throw distance was differently set according to the deduced category of trajectories. The implemented fuzzy program was validated through comparing with the domestic and foreign empirical data. The output results agree very well in impact velocities of vehicle resulting the accuracy and usefulness of the developed tool in the reconstruction analysis of vehicle-pedestrian collision accidents.