• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.83-91
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• 2012

The objective of this study is to build a methodology for evaluating intelligent transportation systems (ITS) projects, by selecting measures of effectiveness (MOEs) and developing an approach to collect and process traffic data. While reviewing the existing MOEs and evaluation methodologies for ITS projects, several problems were found, such as the complication in delineating study areas, the absence of standardized evaluation methodologies, and the duplication in selecting MOEs. To tackle these problems, two MOEs capable of directly evaluating traffic conditions were chosen: i.e., average vehicle speed and traffic volume. Both MOEs can not only include all the functions of the existing MOEs, but also be simpler and more objective in evaluating real traffic conditions. The traffic volume can be measured by using either "cordon line" or "all point average" methods. On the other hand, measuring the average vehicle speed depends on site-specific characteristics such as traffic flow states (interrupted or uninterrupted) and traffic conditions (congested or uncongested). The present methodology is easily understandable for anyone and applicable for any ITS project, and is also expected to contribute to building a standardized evaluation system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.4
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• pp.102-112
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• 2010

The existing K-CASH system doesn't allow compatible between different regions, different public transportations and the technologies made by different operators. If a K-cash user wants to use public transportation charged not by K-CASH but other operator, then he or she would have to get other type of card available for that transportation. Also, the incompatibility of the existing K-CASH might cause unnecessary expense because similar systems would have to be doubly constructed if the K-CASH operator would like to install the K-CASH system on the same infra as the other operators already did. As a result, a system which allows people to use just one card for their convenience regardless of regions, types of transportation and operators has been strongly demanded. In this paper, we developed Nation-wide Interoperable K-Cash system, Nation-wide Interoperable K-CASH Card, Purchase terminal, Purchase SAM and Settlement system that were updated from the existing K-CASH system. And we performed a conformity test to confirm performance. Also Korea Financial Telecommunications & Clearings and the KORAIL NETWARKS and the HiPlusCard joined for the testbed in Gwangju for 6 months. This result of testbed finally proved that the Nation-wide Interoperable K-CASH system is completely compatible.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.1
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• pp.55-70
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• 2018

Recently, as shared transportation services has expanded, integrated mobility services that link personal transportation and public transportation are paid attention. To do this, it is necessary to analyze trip mode chaining behavior. This study analyzed the characteristics of the trip mode chaining behavior using the 2010 travel diary survey in Seoul, and analyzed factors to affect mode choice of trip chaining through the multinomial logit model. The transportation means were classified into passenger cars, city buses, intercity buses, railways, taxis, and others, and 25 trip mode chaining types were identified. Among them, the trip share connected between city bus and railways was the highest. It was also found that the trip mode chaining occurred mainly at commuting and in the morning and afternoon peak. According to the model results, the mode choice of trip chaining is significantly influenced by individual attributes (sex and age), household attributes (car ownership and income), trip attributes (trip purpose, trip time and trip length), and arrival area attributes (number of subway lines and bus lines, ratio of commercial area, land use mix and central region).

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.54-62
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• 2018

As a part of realization of artificial intelligence signal(AI Signal), this study proposed an actuated signal algorithm based on vehicle queue length that estimates in real time by deep learning. In order to implement the algorithm, we built an API(COM Interface) to control the micro traffic simulator Vissim in the tensorflow that implements the deep learning model. In Vissim, when the link travel time and the traffic volume collected by signal cycle are transferred to the tensorflow, the vehicle queue length is estimated by the deep learning model. The signal time is calculated based on the vehicle queue length, and the simulation is performed by adjusting the signaling inside Vissim. The algorithm developed in this study is analyzed that the vehicle delay is reduced by about 5% compared to the current TOD mode. It is applied to only one intersection in the network and its effect is limited. Future study is proposed to expand the space such as corridor control or network control using this algorithm.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.1-11
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• 2016

The purpose of this study is to contribute the use of special taxi for the transportation vulnerable such as elderly and pregnant woman in terms of improving transportation mobility and extending social participation. We analyzed the DB users of STS system operating in Suwon, and surveyed the preference statement. Specifically, we have built transportation mode choice models for the elderly and pregnant woman, and then we drew the activating STS plan by comparing influence factors for each model. Based on the results of the study, 23% of STS user was the elderly people and pregnant women, 31% of user was for hospital passage purpose, and short-haul passage within 2 ~ 5km was 70% level of the passage. According to preference survey results between STS and Bus, fare was the highest impact factor in the mode choices for the elderly, and the participants who are older and car owners have been found to prefer the special taxi. For the pregnant woman, travel time and fare were the main influence factors of choices, and it was discovered that they preferred the special taxi when they are car owners and trips was frequented. Also, if the fare of special taxi is about 70% of the regular taxi fare, The share rates of Special Taxi comparing to bus for the elderly and pregnant woman are analyzed to be 51.1% and 63.6% each. Therefore, the adjustment of the fare would be effective to encourage the use of the special taxi. The results of this study can be used as a basis for establishing the rational fare structure of the special taxi.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.6
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• pp.211-221
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• 2019

The death toll for every 10,000 cars registered in Korea is 1.4, which is still the lowest among OECD members, and the need for rescue and response systems is emerging. In response, the company is developing a vehicle ICT-based emergency rescue system (e-Call) that can handle accidents such as rapid and accurate life saving by automatically sending accident detection and related information to the central center in the event of a traffic accident. However, ordinary citizens are negative about the installation and cost of e-Call services. To solve these problems, various introduction and operation methods of e-Call were proposed for activation of terminal distribution. In addition, the effect of introducing e-Call was analyzed by predicting the penetration rate of e-Call terminals. Analysis shows that 463 to 926 deaths and 3,335 to 6,66.9 billion won will be saved in 10 years after the introduction of e-Call terminals.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.44-53
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• 2016

The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.4
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• pp.33-43
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• 2013

Comparing to the constant-increasing number of vehicles, road facilities supply such as road construction has already reached the uppermost limit. As one of the most serious issues that the public would personally deal with every day, such is some road traffic problem to be solved instantly. Median exclusive bus lane is now being conducted as a way to enhance efficiency of the public transportation system in Transportation System Management, and with a main arterial that connects Kyeryong-ro (Wolpyeong 3~West Daejeon 4, 6.3km) and Daedeok-daero (Daedeok Bridge 4~Kyeryong 4, 2.6km) in Daejeon adopted as a research target, the study analyzed effects of the arterial by VISSIM the microsimulation. During the analysis, the study focused on figuring out effects of owner-drivers' transport mode choice to take a bus a public transit. According to the simulation results, as people take a bus at the median exclusive bus lane not crb bus lane, traffic for general vehicles has been negatively effected with less drive ways for the vehicles. However, when it comes to the bus traffic, the new transport mode choice appeared to have a quite positive influence after all. A binary logit model analysis reported that owner-drivers might take a bus more often when they earn lower incomes, when they do not travel far, when poor parking is expected and lastly, when they are familiar with using the median exclusive bus lane.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.5
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• pp.1-13
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• 2010

In this paper, we describe the result of the test-bed on Nation-wide Interoperable Transportation System connected with Interoperable Traffic Information Collection System, which was developed by Korea Financial Telecommunications & Clearings, KOREAIL NETWORKS, HiPlusCard and Samsung SDS. we constructed Nation-wide Interoperable Transportation System on 4 downtown bus routes, 20 stations on line 1 subway, 2 stations of a train and 2 sections of the Honam highway in Gwangju and Interoperable Traffic Information Collection System in Seoul University IC Card Center. So we operated that by 480 Several staff were given a test card and asked to try it for about 6 months. This test-bed is for demonstrates the accuracy, safety and credibility of the Nation-wide Interoperability standard technology and it can be applied to all of transportation practically. When the staffs contact the card to Purchase terminal, the card performs transaction with Purchase SAM in the terminal, then transactions ara used to calculate in Settlement system and Interoperable Traffic Information Collection System. Through the test-bed, we examined this process and found unexpected problems happening during the test operation and have successfully solved them. In addition, the results of the test-bed let us know what additional improvement might be required for System. The successful run of the test-bed was verified by an evaluation of the test-bed staff and a public survey.

• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.426-440
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• 2016

Developed countries have already applied variable Intelligent Transportation System (ITS) technologies and have solved many transportation problems. Researchers also expect that ITS solutions can solve the transportation problems of Korean roads, when they are applied to Korean roads. However, since the existing ITS solutions applied in other countries are used for Korean roads without calibration, they will incur unexpected problems and high cost maintenance costs. In this paper, to solve the above problem, we propose the Korean Highway Traffic Analysis tool (KHTA). It not only analyzes all highway information in Korea, but also simulates the ITS algorithm implemented by traffic developers for the Korean highway environment. To test the stability, applicability and efficiency of the KHTA, we developed and analyzed the result of the ramp metering algorithm. The results show that the total travel time was reduced by 5 minutes compared to that without ramp metering, and traffic congestion was decreased. Thus, we confirmed that the KHTA can simulate ITS systems and can analyze the traffic environment in Korean highway. We expect that this tool would be very helpful to develop and analyze ITS systems in Korea.