Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Korean Society of Transportation
Journal Basic Information
Journal DOI :
Korean Society of Transportation
Editor in Chief :
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
A Study on Trip Chain Typed Selection Behavior
Bin, Mi-Yeong ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 7~19
Using 2006 metropolitan household travel survey data, this study analyzes trip behaviors based on a concept of trip chains using both trip purpose and number of trip linkages. For the analysis, trip chains are classified into two groups depending on including commute trips. Each group is further classified into a single linkage (i.e., Origin-Destination trips without any intermediate stop-by) and multiple linkages (Origin-Destination trip with at least one intermediate stop-by). The analysis is conducted using the two-step Nested Logit Model. Computational results identifying the characteristics of single and multiple linkages show that the young, male and office employee drivers tend to have more multiple linkages than single linkages in their trips. In contrast, it is shown that a driver whose monthly income is less than 3,000,000 Korean Won with a longer commute time more likely to make a trip chain with single linkages (p<0.0001).
Analysis of Effectiveness of Traffic Safety Education on DWI(Driving While Intoxicated) Deterrence
Jeong, Cheol-U ; Jang, Myeong-Sun ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 21~29
The purpose of this study is to analyze the deterrence effect of traffic safety education on DWI(Driving While Intoxicated) offenders which is proposed as a incentive policy measure. For the analysis, 3512 drivers whose licenses were suspended due to DWI offence within the jurisdiction of Seongnam city in 2003, and whose driving behavior were traced for 5 years are collected. MOEs used in the study are the number of repeated DWI offence and DWI abidance duration. The statistics of analysis of covariance are used to compare the deterrence effectiveness of traffic safety education by adjusted means between groups. The results show that compared to uneducated group, educated group reveals to make less number of repeated DWI offence with longer DWI abidance period The resulting statistic also shows that active participation in the discussion during the class is more effective than just giving lecture. The former way for education can further reduce the repeated DWI by 12% and increase DWI abidance duration by 5.7% than the latter.
Analysis of Effects from Traffic Safety Improvement on Roadways using C-G Method
Lee, Dong-Min ; Kim, Do-Hun ; Song, Gi-Seop ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 31~40
Generally, inappropriate driving conditions including geometric, traffic environmental, and driver psychological problems may be critical reasons of traffic accidents. Under this circumstance, various types of facilities have been installed to improve traffic safety by itself or as a set consisting of several other traffic safety facilities. In general, traffic accidents occur by several reasons combined rather than only a single reason, and thus the safety effect of the safety facilities cannot be simply analyzed with only a single improvement. For the study, traffic accident data on the roadway segments of interest are collected along with field survey data. For the analysis, various alternative analysis methods were evaluated in terms of assessing accident reduction from various types of traffic safety improvements. Among the alternative methods tested including simple before-and-after evaluation method, before-and-after evaluation yoked comparison, and Comparison Group (C-G) method, it was found that the C-G method is the most effective method for analyzing the traffic safety improvement effect. Adopting the C-G method, both single and multiple safety improvements were analyzed. The results from this study can potentially be applied to decide the best type of treatments to improve traffic safety as well as to measure the accident reduction effects from the treatments.
Implementation of a Vehicle Monitoring System using Multimodal Information
Park, Su-Wan ; Son, Jun-U ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 41~48
In order to detect driver's state in a driver safety system, both overt and covert measures such as driving performance, visual attention, physiological arousal and traffic situation should be collected and interpreted in the driving context. In this paper, we suggest a vehicle monitoring system that provides multimodal information on a broad set of measures simultaneously collected from multiple domains including driver, vehicle and road environment using an elaborate timer equipped as a soft synchronization mechanism. Using a master timer that records key values from various modules with the same master time of short and precise interval, the monitoring system provides more accurate context awareness through synchronized data at any given time. This paper also discusses the data collected from nine young drivers performing a cognitive secondary task through this system while driving.
Evaluating Level of Information Provided According to User Satisfaction of VMS on the Continuous Traffic Flow
Sin, So-Yeong ; Lee, Su-Beom ; Im, Jun-Beom ; Hong, Ji-Yeon ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 49~58
As a part of the ITS, the traffic information system is more widely adopted to deliver traffic information to vehicle drivers via various types of media. As the ITS system establishment has been recognized as somewhat accomplished, the focus has shifted to the efficient operation and maintenance of the system. In this paper, we propose a method for evaluating a VMS traffic information service system from a user's perspective. In particular, relational expressions for the level of information provided and the level of user satisfaction are generated for the evaluation to take place from the user psychological satisfaction aspect of all other beneficial features of the system. As continuous flow facility is the one that has limited entry and exit, the traffic information of VMS plays a significant role for vehicle drivers to make their decisions. A method suggested in this paper could be used for evaluating an existing system as well as setting up the target service level of the system of a new system. If individual system properties are considered along with various VMS functions being as supplement of this research, more systematic evaluation method could be arranged.
Underlying Values of Real-time Traffic Information on Variable Message Sign Using Contingent Valuation Method(CVM)
Lee, Gyeong-A ; Kim, Jun-Gi ; O, Seong-Ho ; Lee, Yeong-In ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 61~72
In the benefits of ITS, there are intangible gains from real-time traffic information as well as classical gains such as travel time saving. These intangible gains are difficult to be estimated by existing transportation investment appraisal commonly used in SOC investment. The major reason is not because of the absence of methodology but because of the absence of generalized values of particular benefits from real time traffic information. This research explores the value of real-time traffic information on VMS that is the most representative of ITS services, by using CVM with Double Bounded Dichotomous Choice Question. Willingness-To-Pay (WTP) functions of drivers are built with survival functions using various types of probability distribution functions such as Exponential, Log-logistic, and Weibull functions. The results reveal that Log-logistic distribution is the most appropriate distribution model to estimate WTP, and the estimated coefficients are stable through LR (Likelihood Ratio) test. For the further study, it is recommended to perform statistical tests of temporal and spatial transferability that is not examined in this research due to the lack of data.
Prediction of Rear-end Crash Potential using Vehicle Trajectory Data
Kim, Tae-Jin ; O, Cheol ; Gang, Gyeong-Pyo ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 73~82
Recent advancement in traffic surveillance systems has allowed the researchers to obtain more detailed vehicular movement such as individual vehicle trajectory data. Understanding the characteristics of interactions between leading and following vehicles in the traffic flow stream is a backbone for designing and evaluating more sophisticated traffic and vehicle control strategies. This study proposes a methodology for estimating rear-end crash potential, as a probabilistic measure, in real-time based on the analysis of vehicular movements. The methodology presented in this study consists of three components. The first predicts vehicle position and speed every second using a Kalman filtering technique. The second estimates the probability for the vehicle's trajectory to belong to either 'changing lane' or 'going straight'. A binary logistic regression (BLR) is used to model the lane-changing decision of the subject vehicle. The other component calculates crash probability by employing an exponential decay function that uses time-to-collision (TTC) between the subject vehicle and the front vehicle. The result of this study is expected to be adapted in developing traffic control and information systems, in particular, for crash prevention.
Development of Probability Theory based Dynamic Travel Time Models
Yang, Chul-Su ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 83~91
This paper discusses models for estimating dynamic travel times based on probability theory. The dynamic travel time models proposed in the paper are formulated assuming that the travel time of a vehicle depends on the distribution of the traffic stream condition with respect to the location along a road when the subject vehicle enters the starting point of a travel distance or with respect to the time at the starting point of a travel distance. The models also assume that the dynamic traffic flow can be represented as an exponential distribution function among other types of probability density functions.
Factor Analysis of Accident Types on Urban Street using Structural Equation Modeling(SEM)
Kim, Sang-Rok ; Bae, Yun-Gyeong ; Jeong, Jin-Hyeok ; Kim, Hyeong-Jin ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 93~101
In 2008, Korea has observed total 215,822traffic accidents Although the number has decreased since then, the crash rate is still higher than those of other advanced countries. In particular, high rate of pedestrian accidents occurred on urban streets is recognized as a serious problem. The previous studies, however, are not entirely considerate of accident factors by accident type. Inspired by the fact, this study analyzes factors affecting traffic accident by accident type. Using the accident data collected on urban streets in Seodaemun-gu, this paper classifies the accidents into two groups (i.e., vehicle-vs-vehicle and vehicle-vs-person crashes), and analyzes relationships between severity and exogenous variables. For the analysis, Structural Equation Modeling (SEM) is employed to estimate relationships among exogenous factors of traffic accident by each type on urban streets. The resulting model reveals that roadway related factors are highly correlated with the severity of vehicle-vs-vehicle crashes whereas environment factors are with vehicle-vs-person crashes.
Analysis on the Driving Safety and Investment Effect using Severity Model of Fatal Traffic Accidents
Lim, Chang-Sik ; Choi, Yang-Won ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 103~114
In this study, we discuss a fatal accident severity model obtained from the analysis of 112 crash sites collected since 2000, and the resulting relationship between fatal accidents and roadway geometry design. From the 720 times computer simulations for improving driving safety, we then reached the following conclusions:. First, the result of cross and frequency-analyses on the car accident sites showed that 43.7% of the accidents occurred on the curved roads, 60.7% on the vertical curve section, 57.2% on the roadways with radius of curvature of 0 to 24m, 83.9% on the roads with superelevation of 0.1 to 2.0% and 49.1% on the one-way 2-lane roads; vehicle types involved are passenger vehicles (33.0%), trucks (20.5%) and buses (14.3%) in order of frequency. The results also show that the superelevation is the most influencing factor for the fatal accidents. Second, employing the Ordered Probit Model (OPM), we developed a severity model for fatal accidents being a function of on various road conditions so as to the damages can be predicted. The proposed model possibly assists the practitioners to predict dangerous roadway segments, and to take appropriate measures in advance. Third, computer simulation runs show that providing adequate superelevation on the segment where a fatal accident occurred could reduce similar fatal accidents by at least 85%. This result indicates that the regulations specified in the Rule for Road Structure and Facility Standard (description and guidelines) should be enhanced to include more specific requirement for providing the superelevation.
A Study on Correlation Between Skid Distance and Pre-Braking Speed
Jeong, U-Taek ; O, Yeong-Tae ; Park, Yeong-Su ; Ryu, Tae-Seon ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 115~122
This paper investigates the accuracy of the vehicle pre-braking speed estimated based upon measured skidding distance. Driver ordinarily takes sudden braking when urgent situation is developed in the front or when the driver is involved in an unexpected situation, and the driver may be inflicted upon an accident depending on the required stopping distance. Among factors influencing the stopping distance of vehicle such as recognition response time of driver, performance of vehicle's braking device, and state of road surface etc, pre-braking speed is seemingly the most important influencing factor. Currently, in the investigating section of traffic accidents, the state of overspeed is determined by the pre-skidding speed calculated based on the length of skid mark. In order to identify the accurate cause of the accident, it is strongly recommended that estimation of pre-braking speed should be estimated taking into account speed reduction during transient time. In this study, we propose a method for estimating more accurate exact speed information of vehicle at the time of traffic accident. The outcomes from this study potentially help better understanding of the characteristics of vehicle for traffic safety in the future.
Development of Impulse Propagation Model between Lanes through Temporal-Spatial Analysis
Kim, Sang-Gu ; Ryu, Ju-Hyeon ;
Journal of Korean Society of Transportation, volume 29, issue 3, 2011, Pages 123~137
In general, flow propagation has been explained using the shock wave theory which is expressed as a function of variations in volume and density. However, the theory has certain limitation in portraying heterogeneous flow, e.g., flow propagation between lanes. Motivated by this fact, this study seeks a new measure for analyzing the propagation characteristics of traffic flow at three sections of highway (i.e., merging area, weaving section, and basic section) from temporal and spatial perspectives, and then develops a model for estimating the measure for the flow propagation. The "shock wave speed" which is the measure widely adopted in literature, was first applied to describe the propagation characteristics, but it was hard to find distinct characteristics in the propagation. This finding inspires to develop a new measure named "Impulse Volume". It is shown that the measure better explains the propagation characteristics at the three study sections of highway. In addition, several models are also developed by performing multi-regression analyses to explain the flow propagation between lanes. The models proposed in this paper can be distinguished in three sections and the lane placement.