• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.79-88
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• 2008

VMS based dispersion of traffic flows enables to decrease delay and congestion. Such being the case, there has been growing interests in VMS operation strategy. The strategy is based on driver's behavior or diversion rate. However, it was not easy to obtain each in practice. The diversion rate, thus far, was investigated by stated preference analysis or simulators. As an alternative, in this paper, a new method to obtain diversion flow rate was suggested using the toll collection system and freeway traffic management system data. A large gap of diversion rate between stated preference analysis and field survey was observed. Out of surveyed 8 tollgate data, the diversion rate was about 7% and was quite lower compared with that of 21%${\sim}$87% from stated preference analysis or simulators. With this at hand, a more careful information provision strategy should be devised and employed to correctly account this kind of differences.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.12
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• pp.1237-1244
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• 2016

Vehicle classification system in domestic tollgates is usually to use treadle sensor for calculating wheel width and tread of the vehicle. Due to the impact that occurs when the wheels of the vehicle contact, treadle sensor requires high durability. Recently, KHC(Korea Highway Corporation) began operating high-speed lane for cargo truck. High-speed cargo truck generate more impact the design criteria of previous treadle. Therefore, an increase in the maintenance and management costs of the treadle damage is concerned. In this paper, we propose an algorithm to classify vehicles using non-contact treadle sensors for improving durability from physical impacts. This was based on the KHC's classification criteria and showed a classification accuracy of 99.5 % in one experiment with 1892 vehicles through Changwon tollgate in 1020 local road. Therefore, it shows that vehicle classification system using non-contact treadle sensor could be applied to domestic toll tollgates, effectively.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.881-889
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• 2004

Using the ETC Service, it is now possible to charge a vehicle for driving pass a specific toll booth electronically, without the vehicle even having to slow down. The smart card and card reader used to collect tolls electronically have a serious problem which it dose not have a standard for the ETC system. In this paper, we suggest the ETC system using mobile phone to collect tolls efficiently instead of existing system which is consist of a Interface Module to connect between a mobile phone and OEE, a mobile phone to send the information of tollgate fees and OEE to communication with RSE of roadway in the vehicle. This primary focus of this system is the IM functions and protocol to assist of the existing mobile phone and OBE.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.3
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• pp.67-76
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• 2007

Although Hi-pass have been operated for alleviating traffic congestion and enhancing mobility in expressways since 2000, there is not any standard for safe operation. For that reason, we investigated about tubular markers, which is a typical facility for safety in Hi-pass. Tubular Markers are installed for separating same or opposite traffic flows spatially, supporting the marks at a place which has not only high possibility of accidents but distinguished carefulness of drivers. In this paper, it is noted two considerings; one is prevention of accident from the speed gap of autos and Hi-pass vehicles; the other is guarantee of necessary distance that Hi-pass vehicles could be changes the lanes for off-ramp. Focusing those considerations, it is proposed not only prefer distance of tubular markers, but also fundamental basic subjects. We anticipate that the results of this study would be useful reference in more safe and efficient tollgate operation of Hi-pass.

• Journal of Korean Society of Transportation
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• v.17 no.1
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• pp.7-17
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• 1999

The expressway network includes a total of about 1,899 km in our country The only 1,016 km of that is being managed by the closed Toll Collection System(TCS) which is composed of 74 tollgates. We obtain inter-tollgate O-D matrices from that system everyday. But, they are not traffic-zonal O-D matrices. So they have not been used for the expressway traffic analysis and the traffic demand estimation despite of their accuracy. If we could estimate the traffic-zonal O-D matrices from TCS O-D ones, we could perform expressway traffic analysis more efficiently. Moreover we could obtain more precise expressway O-D matrices and traffic-zonal O/D ones by this approach than by the conventional ones. In this paper. we proposed the model estimating traffic-zonal O/D matrices from TCS O-D ones. The assigned volumes with the estimated traffic-zonal O-D matrices produced the only 17.9% error all over the TCS expressway section when compared to the real traffic volumes. So, the proposed model enables for us to estimate more accurate O/D matrics than any other existing methods.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.2
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• pp.151-157
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• 2018

Objectives: This study was conducted in order to evaluate $PM_{10}$ concentrations at eight highway tollgate booths from July to September 2017. Methods: A total of 16 samples were collected from eight toll booths. Each $PM_{10}$ sample was collected using a 37 mm PTFE filter attached to a Personal Environment Monitor. Results: The geometric mean concentrations of $PM_{10}$ in the toll booths was $83.51{\mu}g/m^3$. The mean $PM_{10}$ concentrations measured on freight roadways were much higher than those of measured on general roadways($102.46{\mu}g/m^3$ and $68.05{\mu}g/m^3$, respectively). $PM_{10}$ was revealed to be higher in the morning($105.59{\mu}g/m^3$) than at dawn or in the afternoon($71.26{\mu}g/m^3$ and $61.22{\mu}g/m^3$, respectively). The mean $PM_{10}$ concentration in toll booths ventilated through an air conditioner was higher than that for those using a window or no ventilation. The rate of exceeding the Ministry of Environment Maintenance Limit($200{\mu}g/m^3$) was 6.25%, and the rate of exceeding the Ministry of Labor Recommended Limit($150{\mu}g/m^3$) was 12.5%. Conclusions: In order to protect the health of toll booth workers exposed to airborne dust, it is necessary to check the exposure level from indoor air quality on a regular basis and to manage it appropriately according to the results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1C
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• pp.8-16
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• 2012

In order for the support of the ETCS (Electronic Toll Collection System) model, which have been operated successfully till now, with multi-lane service, the wireless communication system of the multi-lane-supported ETCS based on RF-DSRC (Radio Frequency - Dedicated Short Range Communication) was used. In this paper, the SME algorithm attaching data flow and form into RFID communication technology was newly suggested to overcome technical problems on RF-DSRC communication system. In addition, in order to verify the SME algorithm, experiments based on ETCS and 900Mhz RFID were carried out. From the result of realization experiment of RFID dependent on the velocity and precision experiment of information inside of RFID, we can see that RFID is detected below 70Km/h and the precision of estimation is more than 90%.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.1
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• pp.1-11
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• 2001

This paper presents a learning-based approach for the construction of license Plate recognition system. The system consist of three modules. They are respectively, car detection module, license plate recognition module and recognition module. Car detection module detects a car in the given image sequence obtained from the camera with simple color-based approach. Segmentation module extracts the license plate in detect car image using neural network as filters for analyzing the color and texture properties of license plate. Recognition module then reads characters in detected license plate with support vector machine (SVM)-based characters recognizer. The system has been tested from parking lot and tollgate, etc. and have show the following performances on average: Car detect rate 100%, segmentation rate 97.5%, and character recognition rate about 97.2%. Overall system performances is 94.7% and processing time is one sec. Then our propose system does well using real world.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.1
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• pp.86-98
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• 2014

Currently, many OBUs(On Board Unit)s were installed on the vehicle because ETCS(Electronic Toll Collection System) using DSRC(Dedicated Short Range Communication) was constructed in the tollgate of the whole country.A research development and the commercialization utilizing the One Card All Pass and those Infrastructures of ETCS, are promoting of ITS services. Although many studies of the application method about the One Card All Pass of ETCS have been made, standards about the application method of the One Card All Pass and payment for the provision of traffic convenience, were not made clear. So we are proposed method that One Card All Pass announced by Ministry of Land, Infrastructure and Transport, takes advantage of the existing DSRC-based to apply ETCS. We have confirmed the performance of the system through a variety of driving test using three test vehicles on trial operation site and ETCS applying application method proposed in this study. As a result of driving test, we have confirmed validity of standard application method proposed in this study through the communication success rate of about 99% and analyzed problem that may occur by applying service parts of ETCS of transportation convenience facilities because of about 1% communication failure rate.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.1017-1023
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• 2017

Duration induced by freeway crashes has a critical influence on traffic congestion. In general, crash duration composes detection and verification, response, and clearance time. Of these, the crash clearance time determined by a crash clearance team has attracted considerable attention in the freeway congestion management since the interest of the first two time stages faded away with increasing ubiquitous mobile phone users. The objective of this study is to identify the critical factors that affect freeway crash clearance time using a Cox's proportional hazard model. In total, 6,870 crash duration data collected from 30 major Korean freeways in 2013 were used. As a result, it was found that crashes during the night, with trailer or larger size truck, and in tunnel section contribute to increasing clearance time. Crashes associated with fatality, completed damage of crashed vehicle (s), and vehicles' fire or rollover after crash also lead to increasing clearance time. Additionally, an increase in the number of vehicles involved resulted in longer clearance time. On the other hand, crashes in the vicinity of tollgate, by passenger car, during spring, on flat section, and of car-facility type had longer clearance time. On the basis of the results, this paper suggested some strategic plans and mitigation measures to reduce crash clearance time on Korean freeway systems.