• Title/Summary/Keyword: Highway policy

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A Traffic Hazard Prediction Algorithm for Vehicle Safety Communications on a highway (고속도로에서 차량 안전 통신을 위한 교통사고 위험 예측 알고리즘)

  • Oh, Sang Yeob
    • Journal of Digital Convergence
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    • v.10 no.9
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    • pp.319-324
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    • 2012
  • Vehicle safety communications is one among the important technologies in order to protect a car accident. For this, many protocols forwarding a safe message have studied to protect a chain-reaction collision when a car accident occurs. most of these protocols assume that the time of generating a safe message is the same as an accident's. If a node predicts some traffic hazard and forwards a safe message, a driver can response some action quickly. So, In this paper, we proposes a traffic hazard prediction algorithm using the communication technique. As a result, we show that the frame reception success rate of using our algorithm to the previous protocol improved about 4~5%.

A Cost-Benefit Analysis for the Installation of Piezoelectric Energy Harvester (압전에너지 하베스터 설치사업의 경제성 분석에 관한 연구)

  • Lee, Hyun-Kyung;Lee, Min-Gi;Kim, Hong-Bae
    • Journal of the Korean Regional Science Association
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    • v.33 no.3
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    • pp.49-59
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    • 2017
  • The piezoelectric energy harvester is recently being developed and catching on as a way to achieve low carbon green growth. The practical application of the piezoelectric energy harvester is expected to contribute not only to the reduction of greenhouse gas emissions but also to the improvement of residents' welfare. This paper conducted a cost-benefit analysis for the installation of piezoelectric energy harvester on the highway focusing on its impacts on the public. The results showed that the installation of piezoelectric energy harvester on the gyeongbu highway is economically feasible in that it could increase the social welfare for the residents. Finally, this paper suggests policy direction for the practical use of the piezoelectric energy harvester, based on the results obtained.

An Approach to Introduce Biodiversity Components for the EIA System in Korea

  • Kwon, Young-Han
    • Journal of Environmental Policy
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    • v.7 no.2
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    • pp.91-104
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    • 2008
  • In foreign countries, efforts are in progress to apply guidelines to minimize the loss of biodiversity within environmental assessment, yet those efforts have not been considered in Korea. If this continues, biodiversity in our nation will quickly diminish. Therefore, Korea needs to urgently prepare guidelines that minimize the loss of biodiversity. In this study 32 environmental impact assessment statements on express-highway construction projects were analyzed to evaluate potential problems with the current EIA system and to provide ideas on how to introduce a biodiversity/ecosystem item into the system. In the analyses of the 32 statements, few contents that deal with habitat/biodiversity were found and a lack of assessment of biodiversity issues was noticed in the EIA system in Korea. The system, therefore, should be improved to consider biodiversity issues in the survey, to predict impacts on biodiversity, and to establish corresponding mitigation measures.

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A Study on Improvement of Level of Highway Maintenance Service Using Self-Organizing Map Neural Network (자기조직화 신경망을 이용한 고속도로 유지관리 서비스 등급 개선에 대한 연구)

  • Shin, Duksoon;Park, Sungbum
    • Journal of Information Technology Services
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    • v.20 no.1
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    • pp.81-92
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    • 2021
  • As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

Development of the Analysis Methodology for Interrelationship between Transportation Facilities (교통시설 상호연관성 분석방법론 개발)

  • Namkung, Baekkyu;Chung, Sungbong;Chang, Yu-Jin
    • International Journal of Highway Engineering
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    • v.15 no.3
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    • pp.169-176
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    • 2013
  • PURPOSES : Lots of criticism such as over/duplication investment, inconsistency of the policies among local governments and national plans etc. has been aroused due to the policy of supply-driven construction for transportation facilities. Recently, according to the environmental-friendly transportation policy, the investment of railroad has been expanded gradually, however the duplication with existing road facility makes it difficult to construct railroad. Thus it is necessary to evaluate the interrelationship between new project and existing facilities in the planning stage. However the method and the criteria for analyzing the duplication and over-investment of projects are not established in the manual, thus the feasibility of these projects are carried out from the economic point of view. METHODS: First, It reviewed about interrelationship criteria(domestic, overseas) and proposed implications and this study directions. Next, It developed the methods of evaluating independency, competitiveness and complementarity. RESULTS : In this study, the methods of evaluating independency, competitiveness and complementarity etc. are suggested to analyze the interrelationship between transportation facilities. The case study was carried out to examine the applicability of the methods. CONCLUSIONS: The methods raise rationality of decision-making compared to existing one. In the future, these methods are introduced into the manual of pre-feasibility study and feasibility study, more efficient decision-making and investment are expected.

Changes in Emissions of Highway Sections according to the GHG Reduction Target (온실가스 감축목표에 따른 고속도로 구간 배출량 변화 연구)

  • Choi, Seonghun;Chang, Hyunho;Yoon, Byungjo
    • Journal of the Society of Disaster Information
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    • v.16 no.4
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    • pp.849-856
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    • 2020
  • Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. It aims to improve how effective the GHG reduction policy, which is the main cause of global warming in the transportation sector, has been effective on the highway and how to calculate GHG emissions. Method: Using the DSRC raw data, we estimate the emissions of Namhae Expressway (Yeongam-Suncheon) from 2017 to 2019 in two ways, a macro method (conventional) and a micro method (individual vehicle). Result: As a result of calculating the emission of the highway, the result was far exceeding the estimated emission, and it was found that when the calculation was performed for each vehicle, it was underestimated by more than 20%. Conclusion: If more emissions are continuously emitted than expected in the current transportation sector, additional emission reduction policies are needed to achieve the current greenhouse gas reduction targets. In addition, in the calculation of emissions, which is the basis of this policy, analysis was conducted for each individual vehicle using the current DSRC raw data, but using GPS afterwards will enable precise emission calculation through a more microscopic analysis.

Analyzing Relationship between Road Traffic Flows and Noise Trend using Korea Highway Traffic Noise Model (KHTN을 이용한 교통류 특성과 교통소음추이 분석)

  • Choi, Yoon Hyuk;Kim, Cheol Hwan
    • Journal of Environmental Policy
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    • v.11 no.3
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    • pp.49-65
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    • 2012
  • Road traffic noise is closely related to road traffic environment, including traffic volumes by type and travel speed. In this study, we stated some issues and analyzed the relationships between road traffic noise and traffic flow characteristics. First, in attempt to find the answer to the question "When does the loudest traffic noise occur?" we reviewed the issue in the terms of traffic flow. As a result of analyzing level of service through Korea Highway Traffic Noise model, the actual maximum noise occurred in level of service D rather than level of service E, on the capacity state. It shows that maximum noise would be most likely to occur right before and after the peak hours. Second, this paper was looking for the method of a more easy and accurate traffic speed estimation to predict traffic noise. This paper proposed sketch planning techniques of speed-volume curve by level of service on Korea Highway Capacity Manual. As a result of trend line modeling, it was judged that quadratic form is a suitable function, and coefficient of determination ($R^2$) was higher than 0.96, respectively.

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Relation between Highway Improvement and Induced Travel Demand, and Estimate the Demand Elasticity (A Seoul Metropolitan Area Case) (도로환경개선과 집합적 개념의 유발통행수요와의 관련성 규명 및 수요탄력성 추정(수도권을 중심으로))

  • Lee, Gyu-Jin;Choe, Gi-Ju;Sim, Sang-U;Kim, Sang-Su
    • Journal of Korean Society of Transportation
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    • v.24 no.4 s.90
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    • pp.7-17
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    • 2006
  • The purpose or this paper is to investigate the relationship between highway improvement and Induced Travel Demand(ITD) focusing on the Seoul metropolitan area data. In addition, authors tried to estimate basic unit of demand elasticity focusing on zone and trip purpose which can be applied for the ITD forecasting. The results are based on the 2002 Metropolitan Household Transportation Survey Data, where the demand elasticity (DE) is -0.582 in Seoul, -0.597 in Incheon and -0.559 in Gyounggi province, respectively. This study revealed part of the relationship between highway improvement and ITD for metropolitan region and provided the framework for yielding real estimated values by applying the concept of demand elasticity in terms of the relationship by using regional and long-term data. We expect that the basic unit of demand elasticity focusing on zone and trip purpose can be applied for the ITD forecasting to analyze the whole demand exactly The estimated DE's for age group and day of week can also be used for Proper transportation management and transport Policy making. Some limitations have also been discussed.

Analysis of Highway Traffic Indices Using Internet Search Data (검색 트래픽 정보를 활용한 고속도로 교통지표 분석 연구)

  • Ryu, Ingon;Lee, Jaeyoung;Park, Gyeong Chul;Choi, Keechoo;Hwang, Jun-Mun
    • Journal of Korean Society of Transportation
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    • v.33 no.1
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    • pp.14-28
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    • 2015
  • Numerous research has been conducted using internet search data since the mid-2000s. For example, Google Inc. developed a service predicting influenza patterns using the internet search data. The main objective of this study is to prove the hypothesis that highway traffic indices are similar to the internet search patterns. In order to achieve this objective, a model to predict the number of vehicles entering the expressway and space-mean speed was developed and the goodness-of-fit of the model was assessed. The results revealed several findings. First, it was shown that the Google search traffic was a good predictor for the TCS entering traffic volume model at sites with frequent commute trips, and it had a negative correlation with the TCS entering traffic volume. Second, the Naver search traffic was utilized for the TCS entering traffic volume model at sites with numerous recreational trips, and it was positively correlated with the TCS entering traffic volume. Third, it was uncovered that the VDS speed had a negative relationship with the search traffic on the time series diagram. Lastly, it was concluded that the transfer function noise time series model showed the better goodness-of-fit compared to the other time series model. It is expected that "Big Data" from the internet search data can be extensively applied in the transportation field if the sources of search traffic, time difference and aggregation units are explored in the follow-up studies.

A Study on Marginal Effect of Geometric Structure on Freeway Accident Frequencies (고속도로 교통사고에 대한 기하구조의 영향(한계효과)에 관한 연구)

  • Park, Min Ho
    • Journal of Korean Society of Transportation
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    • v.32 no.1
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    • pp.73-81
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    • 2014
  • This study dealt with the impacts of geometric structure on traffic accidents occurring on the interstates. There are standard values for the case of geometric structure which are recommended in the design guideline/policy; however, in the previous models, geometric variables were adapted as integrated ones as opposed to mixed ones in the real world so that derived models had a weakness to reflect the real. Therefore, using subdivided geometric variables, this study tried to derive the model which reflects the real world. In addition, by calculating elasticity, each variables' effect to the accidents are estimated. Hopefully, this study will help to establish the future guideline/policy of geometrics considering traffic safety.