• Title/Summary/Keyword: 교통개선효과분석

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An Algorithm for Heavy Duty Truck Priority on Left-turn to Reduce Greenhouse Gas Emissions (온실가스 감축을 위한 대형 화물차 좌회전 우선신호 알고리즘 개발)

  • Yang, Se Jung;Kim, Suhyeon;Kim, Hyo Seung;Lee, Chungwon
    • Journal of Korean Society of Transportation
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    • v.31 no.5
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    • pp.60-70
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    • 2013
  • This study aims to develop a truck priority on left-turn algorithm that can reduce greenhouse gas emissions by reducing heavy duty truck's stops at signalized intersection. The signal priority is granted for a left-turn phase, because heavy duty trucks can deteriorate left-turn traffic flow due to the low acceleration or deceleration rate and large turn radius. Truck priority allows to provide the stable speed control for heavy duty truck, and reduces emissions at the signal intersection. Also, two signal recovery strategies are compared for various traffic conditions. This study analyzes the effectiveness of truck priority such as greenhouse gas emissions and fuel consumption reduction, and total travel time saving using the PARAMICS and Comprehensive Modal Emissions Model (CMEM). The results show that signal priority for heavy duty trucks has an effect on reducing greenhouse gas emissions and fuel consumptions at non-peak hour. Also, it shows decreasing total travel time due to reducing truck stops.

A Study of Traffic Signal Timing Optimization Based on PSO-BFO Algorithm (PSO-BFO 알고리즘을 통한 교통 신호 최적화 연구)

  • Hong Ki An;Gimok Bae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.182-195
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    • 2023
  • Recently, research on traffic signal control using artificial intelligence algorithms has been receiving attention, and many traffic signal control models are being studied. However, most studies either focused on independent intersections or are theoretical studies that calculate signal cycle length according to changes in traffic volume. Therefore, this study was conducted on a signalized intersection - roundabout in Gajwa-ro. The Particle Swarm Optimization - Bacterial Foraging Optimization (PSO-BFO) algorithm was proposed, which is developed from the GA and PSO algorithms for minimizing congestion at two intersections. As a result, optimum cycle length was determined to be 158 seconds. The Verkehr In Stadten - SIMulationsmodell (VISSIM) results showed that there was 3.4% increased capacity, 8.2% reduced delay and 8.3% reduced number of stops at the Gajwa-ro signalized intersection. Additionally, at the roundabout, a 9.2% increase in capacity, a 7.1% reduction in delay, and a 27.2% decrease in the number of stops was observed.

Development and Analysis of Non-Urban region Traffic Safety Facilities Considering Economics (경제성을 고려한 비도심 지역 교통안전 시설물의 개발과 분석)

  • Kim, Ki-Nam;Lee, Yong-Jun;Lee, Dong-Yeol;Cho, Choong-Yuen;Lee, Min-Jae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.577-586
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    • 2018
  • In this study, traffic safety technology was developed for rural areas by reviewingthe relevant literature and data from the Traffic Accident Analysis System for the Chungcheong region.The goal is to reduce traffic accidents in small regional cities and rural areas in Korea. A road shoulder recognition light was developed to fit the pedestrian characteristics of the people using transportation in rural areas. It also minimizes damage to crops due to light pollution from traffic lights and street lights, and it supplements problems of damage from collision with vehicles and agricultural machines. The efficiency of the technology developed in this study was verified by comparing and analyzing the number of traffic accidents and the saved cost before and after its installation. A test bedwas established based on rural areas and is being evaluated for its applicability and effectiveness. It is expected that the reliability of such facilities could be improved through continuous studies, data collection, and analysis.

Study of the Effect of Incentive Policies on the Intention to Return the Driver's Licenses of Elderly Drivers (고령운전자의 운전면허증 반납 의사에 인센티브 정책이 미치는 영향 연구)

  • Kim, Joo Young;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.219-227
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    • 2022
  • In Korea, as the aging phenomenon accelerates, the problem of traffic accidents related to the elderly is continuously emerging. Efforts to improve this are being implemented, but unfortunately the results of these effects are not clear. Therefore, in this study, the effect of traffic characteristics and incentive policies on the return of driver's licenses of elderly drivers was reviewed. As a result of the analysis, it was confirmed that the intention to return the driver's license was low in the case of men, older people, those with low dependence on public transportation, those who undertook long driving hours, and those who took frequent trips. On the other hand, financial incentives were found to play a positive role with regard to the intention to return the driver's license. However, the effect is expected to be insignificant for those with a low intention to return the driver's license. As a result, under the current policy, it is predicted that there is a limit to improving the social problems caused by elderly drivers, meaning that it is necessary to review approaches that induce the return of their driver's licenses.

The Operation Analysis of Signalized Intersections Using ICU Method (ICU 방법을 활용한 신호교차로 운영분석)

  • Kim, Young Chan;Jeon, Jae Hyeon;Jeong, Young Je;Kim, Eun Jeoung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.41-48
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    • 2009
  • The capacity analysis of signalized intersection usually includes a HCM method used at home and abroad and a ICU method this study presents. The HCM method focuses on operation analysis measuring an intersection's delay in terms of given traffic volume, signal operation, and intersection structure data. This method includes planning and design analysis, but these analyses are complex due to being possible through repetitive operation analysis. However the ICU method is a powerful tool for planning and design analysis, because these are possible through brief traffic volume and geometry structure data and consider minimum green time. In this study, the authors studied the ICU method and compared the HCM and ICU by analyzing traffic volume scenarios. Also to consider effectiveness for application of the ICU method, the authors applied the ICU to capacity analysis of intersections on urban arterial for setting major intersection and effect analysis for changing crosswalk type, the number of lane, lane use and operation form of left turn. The result of the analyses shows that the ICU method can measure correct capacity of intersection consist of a broad road in urban area, and is effective for planning and design analysis. This study is expected that traffic experts can grasp correct intersection's capacity and carry out a proper planning or improvement by applying the ICU method to planning and design analysis.

A Study on the Development and Effectiveness of Land Use Planning Methods for Carbon Reduction of Transportation : A Case Study of Asan-Tangjeong District (교통부문 탄소배출 저감을 위한 토지이용계획 기법 개발 및 탄소저감 효과검증 : 아산탕정지구를 대상으로)

  • Lee, Woo-Min;Park, Hyo-Sook;Cheon, Choon-Keun;Lee, Kyung-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.638-645
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    • 2016
  • The purpose of this study was to develop land use planning methods for carbon reduction of transportation and verify the effectiveness. Therefore, this study derived carbon reduction design elements, such as high-density suburb, mixed-use development, pedestrian network and community corridor, which can be applied in the land-use planning stage by examining previous research. The carbon reduction design elements utilized the actual site during the research process. The carbon reductions were estimated using VISUM. Consequently, when carbon reduction design is applied to the site, the carbon emissions declined in the year. As a result of estimating the carbon reduction, approximately 450.7tCO2/yr was reduced.

Development of Optimum Traffic Safety Evaluation Model Using the Back-Propagation Algorithm (역전파 알고리즘을 이용한 최적의 교통안전 평가 모형개발)

  • Kim, Joong-Hyo;Kwon, Sung-Dae;Hong, Jeong-Pyo;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.3
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    • pp.679-690
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    • 2015
  • The need to remove the cause of traffic accidents by improving the engineering system for a vehicle and the road in order to minimize the accident hazard. This is likely to cause traffic accident continue to take a large and significant social cost and time to improve the reliability and efficiency of this generally poor road, thereby generating a lot of damage to the national traffic accident caused by improper environmental factors. In order to minimize damage from traffic accidents, the cause of accidents must be eliminated through technological improvements of vehicles and road systems. Generally, it is highly probable that traffic accident occurs more often on roads that lack safety measures, and can only be improved with tremendous time and costs. In particular, traffic accidents at intersections are on the rise due to inappropriate environmental factors, and are causing great losses for the nation as a whole. This study aims to present safety countermeasures against the cause of accidents by developing an intersection Traffic safety evaluation model. It will also diagnose vulnerable traffic points through BPA (Back -propagation algorithm) among artificial neural networks recently investigated in the area of artificial intelligence. Furthermore, it aims to pursue a more efficient traffic safety improvement project in terms of operating signalized intersections and establishing traffic safety policies. As a result of conducting this study, the mean square error approximate between the predicted values and actual measured values of traffic accidents derived from the BPA is estimated to be 3.89. It appeared that the BPA appeared to have excellent traffic safety evaluating abilities compared to the multiple regression model. In other words, The BPA can be effectively utilized in diagnosing and practical establishing transportation policy in the safety of actual signalized intersections.

Estimating the Economic Effects of Smart Tourism Mobility in Seoul: Using RAS Method (RAS 기법을 활용한 서울 스마트관광 모빌리티의 경제적 파급효과 분석)

  • Hyunae Lee;Hyunji Kim;Namho Chung
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.131-152
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    • 2023
  • One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.

Performance Comparison of Wave Information Retrieval Algorithms Based on 3D Image Analysis Using VTS Sensor (VTS 센서를 이용한 3D영상 분석에 기초한 파랑 정보 추출 알고리즘 성능 비교)

  • Ryu, Joong-seon;Lim, Dong-hee;Kim, Jin-soo;Lee, Byung-Gil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.519-526
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    • 2016
  • As marine accidents happen frequently, it is required to establish a marine traffic monitoring system, which is designed to improve the safety and efficiency of navigation in VTS (Vessel Traffic Service). For this aim, recently, X-band marine radar is used for extracting the sea surface information and, it is necessary to retrieve wave information correctly and provide for the safe and efficient movement of vessel traffic within the VTS area. In this paper, three different current estimation algorithms including the classical least-squares (LS) fitting, a modified iterative least-square fitting routine and a normalized scalar product of variable current velocities are compared with buoy data and then, the iterative least-square method is modified to estimate wave information by improving the initial current velocity. Through several simulations with radar signals, it is shown that the proposed method is effective in retrieving the wave information compared to the conventional methods.

Design of Congestion Standardization System Based on IoT (IoT를 접목한 지하철 객차 내 혼잡도 평준화 시스템 설계)

  • Kim, Mi-Rye;Cho, In-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.74-79
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    • 2016
  • The Seoul Metropolitan Subway, which started operating in 1974, plays a major role in transporting 7,289 thousands passengers daily. This trend of a steadily increase in passengers from 2012 has increased the congestion rate because of the limited capacity and time. To solve this problem, Seoul city is consistently working on improving the subway facilities, such as the construction of a detour path. This project, however, has only a slight effect on improving the congestion rate and is too expensive to construct the facilities. Hence, this study suggests The Congestion Standardization System based on the IoT for improving the subway congestion rate. Based on the system, the expected effect analysis was performed, which resulted in a decrease in ride passengers from 34 to 20. In addition, this expected effect analysis shows that the number of subway vehicles can increase from 20 to 24. The suggested system will have a significant effect on the efficiency of the management system.