• Title/Summary/Keyword: Traffic estimation

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A Study on the Estimation of Ship Location Information in the Intelligent Maritime Traffic Information System (지능형 해상교통정보시스템의 선박 위치 정보 추정 연구)

  • Deuk-Jae Cho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.313-314
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    • 2022
  • The intelligent maritime traffic information service provides a service to prevent collisions and stranding of ships based on the location information of ships periodically collected from ship equipment such as LTE-Maritime transceivers and AIS installed on ships. provided in real time. However, the above service may reduce the reliability of ship location information because GPS location information for measuring the ship's location may be cut off during transmission through LTE-Maritime or AIS networks, or phenomena such as location jumps and delays may occur. This study aims to estimate reliable position information to some extent even in an abnormal section through ship position prediction based on the existing received position information using the Kalman filter, which is an optimal estimation filter based on probability.

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Estimation of value of freeway traffic information using Contingent Valuation Method (조건부가치측정법을 이용한 고속도로 교통정보의 가치 산정에 관한 연구)

  • Lee Eui-Eun;Kim Jun-jung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.3 no.2 s.5
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    • pp.55-68
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    • 2004
  • On this research, Contingent Valuation Method which is universally applicable to non market goods and being developed in a field of the environmental economics is used to estimate appropriate value of freeway traffic information. Imaginary scenario is designed to estimate appropriate value of freeway traffic information and major in traffic-related field is used & man-to-man interview carried out to enhance a reliance of questionnaire. Open-ended question and a way of payment card are in use each other. make use of Multiple Regression Model in Contingent Valuation Method of traffic information and find an effect on the value of the traffic information. As a result of research, intention to pay for usage per information is regarded as a somewhat higher but monthly cost is lower than they have to. It is concluded that value and usefulness of the individual information is nod in approval but a majority of user's recognition that publish information must be provided free of charge lowers intention of payment.

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Estimation on the Future Traffic Volumes and Analysis on Information Value of Tidal Current Signal in Incheon (인천항의 장래 교통량 추정 및 조류신호의 정보가치 분석)

  • Kim, Jung-Hoon;Kim, Se-Won;Gug, Seung-Gi
    • Journal of Navigation and Port Research
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    • v.31 no.6
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    • pp.455-462
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    • 2007
  • This paper estimated the future traffic volume incoming and outgoing in Incheon port, and analyzed the value of information serviced by tidal current signal operation center in Incheon. The cargo traffic in 2020 will increase twice as much as in 2005 according to the national ports basis plan. The maritime traffic will increase greatly consequently. Also, MOMAF has operated tidal current signal operation center to prevent marine accidents caused by current influence on vessels navigating through Incheon. However the quantitative effect is not known because there is no analysis about its value. Therefore the value of information serviced by tidal current signal operation center in Incheon was calculated with contingent valuation method(CVM), and the information value was analyzed considering future traffic in this study. Thus, the annual information value was calculated at about $170{\sim}280$ million won, considered traffic volume using the information of tidal current directly in 2020 since 2006.

Estimation of optimal price of freeway traffic information using a price-sensitivity analysis (가격민감도 기법을 이용한 고속도로 교통정보의 적정가치 산정 연구)

  • Lee Eui-Eun;Kim Jun-Jung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.2 no.1 s.2
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    • pp.85-92
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    • 2003
  • Due to the expansion of freeway networks in Korea, drivers have more routes to choose. Traffic information on various alternative roadway sections and routes may help drivers choose the optimal route that minimizes travel time or cost. Traffic information on roadways is, therefore, invaluable in sense that individual drivers could reduce their travel time or cost by selecting optimal routes, and furthermore total travel cost of the system could be lowered. However, consensus about the price of traffic information that drivers are willing to pay is not made yet. Current price of traffic information is decided according to the price of similar information such as stock, weather and so on. To investigate the value of traffic information, a survey was conducted at freeway rest areas near Seoul Megalopolis area including Kyunggi Province. Eight hundred drivers who had travelled on freeway within a year were randomly selected. Purposive Quota Sampling was used. A price-response function, a relationship between price and sales, was obtained based on the survey, followed by sensitivity analysis

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Performance Analysis of CDMA Reservation ALOHA for Multi-traffic Services (다중 트랙픽 지원을 위한 CDMA 예약 ALOHA 방안의 성능 분석)

  • Jo, Chun Geun;Heo, Gyeong Mu;Lee, Yeon U;Cha, Gyun Hyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12A
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    • pp.1852-1861
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    • 1999
  • In this paper, CDMA Reservation ALOHA scheme which can reduce multiple access interference and packet collision is proposed to support multi-traffic such as voice and random data with and without priority. In this scheme, the time slot is divided into two stage, access and transmission stage. Only packets with spreading codes assigned from base station in access stage can transmit their packets in transmission stage, so MAI can be reduced. To reduce packer collision in access stage, the code reservation and access permission probability are used. Code reservation is allowed for voice traffic and continuous traffic with priority using piggyback and access permission probability based on the estimation of the number of contending users in the steady-state is adaptively applied to each traffic terminal. Also, we analyzed and simulated the numerical performances required for each traffic using Markov chain modeling in a single cell environment.

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Estimation on the Future Traffic Volumes and Analysis on Crossing Situation Risk for Gamcheon Harbor (감천항의 장래 교통량 추정 및 교차상태위험 분석)

  • Kim, Jung-Hoon;Gug, Seung-Gi;Kim, Min-Cheol
    • Journal of Navigation and Port Research
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    • v.30 no.8 s.114
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    • pp.617-622
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    • 2006
  • Gamcheon Harbor was developed to cope with increased freight demand of Busan port and supplement function of the north port. Because container wharf is opened to 1997 as well as general wharf, present maximum 50,000DWT class containerships have been incoming and outgoing. However, In Gamcheon port, small size ships such as fishing boats, miscellaneous boats account for 50 percent of the traffic and a public marine products wholesale market that is building on the north wharf will open in 2008. Therefore, it needs to grasp future year traffic volume before establishing operation plan for port management. Also, analysis on crossing situation risk is required because the breakwater entrance in Gamcheon Harbor is narrow and the crossed passing of ship is ever-present at breakwater front. Thus the traffic volume in the future was presumed and quantitative analysis was achieved on crossing situation though simulations with the traffic volume.

Estimation of Link-Based Traffic-Related Air Pollutant Emissions and the Exposure Intensity on Pedestrian Near Busy Streets (유동인구 밀집지역 인근의 도로구간별 배출량 산정 및 보행자 노출 강도 평가)

  • Lee, Sangeun;Shin, Myunghwan;Lee, Seokjoo;Hong, Dahee;Jang, Dongik;Keel, Jihoon;Jung, Taekho;Lee, Taewoo;Hong, Youdeog
    • Journal of ILASS-Korea
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    • v.23 no.2
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    • pp.81-89
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    • 2018
  • The objective of this study is to estimate the level of exposure of traffic-related air pollutants (TRAPs) on the pedestrians in Seoul area. The road network's link-based pollutant emission was calculated by using a set of mobile source emission factor package and associated activity information. The population information, which is the number of pedestrian, was analyzed in conjunction with the link-based traffic emissions in order to quantify exposure level by selected 23 spots. We proposed the Exposure Intensity, which is defined by the amount of traffic emission and the population, to quantify the probability of exposure of pedestrian. Link-based traffic NOx and PM emissions vary by up to four times depending on the location of each spot. The Hot-spots is estimated to be around 1.8 times higher Exposure Intensity than the average of the 23 selected spots. The information of Exposure Intensity of each spot allows us to develop localized policies for air quality and health. Even in the same area, the Exposure Intensity over time also shows a large fluctuation, which gives suggestions for establishing site-specific counter-measures.

Performance Improvement of Traffic Signal Lights Recognition Based on Adaptive Morphological Analysis (적응적 형태학적 분석에 기초한 신호등 인식률 성능 개선)

  • Kim, Jae-Gon;Kim, Jin-soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.9
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    • pp.2129-2137
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    • 2015
  • Lots of research and development works have been actively focused on the self-driving vehicles, locally and globally. In order to implement the self-driving vehicles, lots of fundamental core technologies need to be successfully developed and, specially, it is noted that traffic lights detection and recognition system is an essential part of the computer vision technologies in the self-driving vehicles. Up to nowadays, most conventional algorithm for detecting and recognizing traffic lights are mainly based on the color signal analysis, but these approaches have limits on the performance improvements that can be achieved due to the color signal noises and environmental situations. In order to overcome the performance limits, this paper introduces the morphological analysis for the traffic lights recognition. That is, by considering the color component analysis and the shape analysis such as rectangles and circles simultaneously, the efficiency of the traffic lights recognitions can be greatly increased. Through several simulations, it is shown that the proposed method can highly improve the recognition rate as well as the mis-recognition rate.

Development of Estimation Method for Degree of Congestion on Expressway Using VMS Information (고속도로 VMS 정보를 활용한 지정체도 산출방안 개발)

  • Lee, Seung-Jun;Park, Jae-Beom;Kim, Soo-Hee;Bok, Ki-Chan
    • International Journal of Highway Engineering
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    • v.11 no.1
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    • pp.25-36
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    • 2009
  • Everyday congestion length (distance) and duration (time) data are collected and recorded in Expressway Traffic Information Center. These records are based on the information that the operators watch CCTV and decide traffic condition in order to present information about congestion on VMS. Using VMS message has some merits like that it doesn't need a great lot of cost to construct hardware such like FTMS because operators can check traffic condition by watching CCTV only. Of cause in the aspect of accuracy, using VMS message has the limitation that it is based on subject decision compared with FTMS. However, it can be said that the value of using VMS message is very large. The object of this study is to use the VMS information record (log file) usefully to provide information of traffic condition on expressway for users (drivers) without keeping the VMS information record in dead storage. To do so, in this research, congestion calculation method able to understand traffic congestion condition on expressway was developed.

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A Study on the Application of Variable Speed Limits(VSL) for Preventing Accidents on Freeways (고속도로 교통사고 예방을 위한 가변제한속도 적용방안 연구)

  • Park, Joon-Hyung;Hwang, Hyo-Won;Oh, Cheol;Chang, Myung-Soon
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.111-121
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    • 2008
  • Using variable speed limits (VSL) is a key strategy for preventing traffic accidents and alleviating traffic congestion. This study proposes an algorithm to operate VSLs on freeways for traffic safety. The proposed algorithm consists of two components based on accident likelihood estimation and analysis of safe stopping distance under various environmental conditions. A binary logistic regression technique is used for estimating accident likelihood. It is expected that the proposed algorithm would be successfully applied in practice in support of an integrated traffic and environmental condition monitoring system. Technical issues associated with the field implementation are also discussed.