• Title/Summary/Keyword: traffic scenarios

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A Non-Stationary Geometry-Based Cooperative Scattering Channel Model for MIMO Vehicle-to-Vehicle Communication Systems

  • Qiu, Bin;Xiao, Hailin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2838-2858
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    • 2019
  • Traditional channel models for vehicle-to-vehicle (V2V) communication usually assume fixed velocity in static scattering environment. In the realistic scenarios, however, time-variant velocity for V2V results in non-stationary statistical properties of wireless channels. Dynamic scatterers with random velocities and directions have been always utilized to depict the non-stationary statistical properties of the channel. In this paper, a non-stationary geometry-based cooperative scattering channel model is proposed for multiple-input multiple-output (MIMO) V2V communication systems, where a birth-death process is used to capture the appearance and disappearance dynamic properties of moving scatterers that reflect the time-variant time correlation and Doppler spectrum characteristics. Moreover, our model has more straight and concise to study the impact of the vehicular traffic density on channel characteristics and thus avoid complicated procedure in deriving the analytical expressions of the channel parameters and functions. The numerical results validate our analysis and demonstrate that setting important parameters of our model can appropriately build up more purposeful measurement campaigns in the future.

Integrated Video Analytics for Drone Captured Video (드론 영상 종합정보처리 및 분석용 시스템 개발)

  • Lim, SongWon;Cho, SungMan;Park, GooMan
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.243-250
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    • 2019
  • In this paper, we propose a system for processing and analyzing drone image information which can be applied variously in disasters-security situation. The proposed system stores the images acquired from the drones in the server, and performs image processing and analysis according to various scenarios. According to each mission, deep-learning method is used to construct an image analysis system in the images acquired by the drone. Experiments confirm that it can be applied to traffic volume measurement, suspect and vehicle tracking, survivor identification and maritime missions.

Analysis of the Total System Error Correlation of Hybrid Fixed-Wing UAV (Unmanned Aerial Vehicle) according to Environmental Factor (환경요인에 따른 복합형 수직이착륙 무인항공기의 통합 시스템 오차 상관도 분석)

  • Songgeun Eom;Jeongmin Kim;Jeonghwan Oh;Dongjin Lee;Doyoon Kim;Sanghyuck Han
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.1
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    • pp.11-17
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    • 2023
  • In this study, the correlation analysis between total system error and environmental factor variables was performed to confirm the effect on the performance of the integrated navigation system by various environmental factors. To collect flight data of hybrid vertical take-off and landing UAVs, scenarios including various turning sections and straight sections such as left turn, right turn, turning rate, and path change angle were selected, and environmental data of wind direction, wind speed, temperature, air pressure, and humidity were collected in real time through weather station. As a result of the correlation analysis between the collected flight data and environmental data, it was concluded that the performance of the integrated navigation system by environmental factors within the collected data was not significant affected and was robust.

Development of Eco driving Simulator Module for Economical Driving (경제적 주행을 위한 친환경 주행 시뮬레이터 모듈 개발)

  • Chung, Sung-Hak
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.7
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    • pp.151-160
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    • 2009
  • The aim of this study is to propose economical driving speed index which those are geometric road status; assess the levels of which those cost-benefit of driving energy consumption and emission; are search road safety design and operational technology for driving simulator. For the objective, we analyzed the current status of driving energy consumption and driving scenarios by the road alignments, and reviewed driving and technical specifications by the geometric types of road according to the implementation, and extended completion. Throughout the result of this study, diverse related driving information provision service, efficiently navigation driving module is expected to be implemented in the national highway design system.

Analysis of Aircraft Noise at Gimpo International Airport according to Changes in International Flight Operations (국제선 운영변화에 따른 김포국제공항의 항공기 소음 분석)

  • Hyunsoo Cho;Jae Sik Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.4
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    • pp.116-125
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    • 2023
  • Gimpo International Airport is a strategically utilized airport based on government policy, but there are many residents living around the airport, so it is very sensitive to changes in airport operation. In the past, similar noise results were obtained for aircraft noise at Gimpo International Airport despite changes in aircraft types and an increase in the number of aircraft operating, and recently ICAO proposed a low-noise aircraft noise standard (Ch.14). Since the new standard has a noise reduction effect of up to 15dB compared to existing aircraft noise, ICAO and Europe EASA predict that future aircraft noise will be reduced if the latest technologies such as low-noise aircraft are applied. Therefore, this study establishes the aircraft operation performance and measured noise of Gimpo International Airport in 2022 as a baseline scenario, noise changes using various scenarios of introduction of low-noise aircraft, operation of mid-to-long-distance routes, and changes in future air traffic demand were analyzed using simulation.

A Parametric Study of Crash Scenario of Autonomous Vehicle and Database Construction (자율주행차 충돌시나리오 파라미터 분석과 차대차 충돌해석 DB 구성)

  • Young Myoung So;Ho Kim;Junsuk Bae
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.4
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    • pp.39-47
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    • 2023
  • Research on the safety of autonomous vehicle is being conducted in various countries, including the European Union, and computer simulation techniques so called 'Virtual Tool Chain' are mainly used. As part of the crash safety study of autonomous vehicle, 25 car to car collision scenarios were provided as a result of a real accident-based accident reproduction analysis study conducted by a domestic research institution, and a vehicle crash analysis was performed using the FE car to car model of the Honda Accord. In order to analyze the results of the car to car simulation and to construct a database, major crash parameters were selected as impact speed, angle, location, and overlap, and a method of defining them in an indexed form was presented. In order to compare the crash severity of each scenario, a value obtained by integrating the resultant acceleration measured by the ACU of the vehicle was applied. The equivalent collision test mode was derived by comparing the crash severity of the regulation test mode, 30 deg rigid barrier mode, in the same way.

Research on Deriving Requirements through Operational Scenarios and Interface Analysis of Future Logistics Transportation System based on Underground Tunnels (지하터널기반 미래물류 운송체계의 운영 시나리오 및 인터페이스 분석을 통한 요구사항 도출 연구)

  • Myung Sung Kim; Sung Jin Lee;Young Min Kim;Na Hyun Yi
    • Journal of the Korean Society of Systems Engineering
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    • v.20 no.spc1
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    • pp.65-75
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    • 2024
  • As the demand for logistics services increases rapidly in modern society, the existing freight delivery system through road transportation is caused various problems such as traffic congestion and greenhouse gas emissions. To solve that, the development of an 'underground logistics tunnel-based cargo transportation system' is currently being considered in Korea. In order to build a new concept stable and safe logistics system, derive system design requirements and functional specifications, and reflect them at the development of target system. In this study, to make foundation for development of an "underground logistics tunnel-based cargo transportation system," define system components through analysis from a hierarchical perspective, and the functions of each component were analyzed and defined. We identified what interfaces the components have at each stage of the operating process. Lastly, we defined a detailed operation scenario based on the previously derived results, deriving target system functional requirements.

Denoising Diffusion Null-space Model and Colorization based Image Compression

  • Indra Imanuel;Dae-Ki Kang;Suk-Ho Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.22-30
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    • 2024
  • Image compression-decompression methods have become increasingly crucial in modern times, facilitating the transfer of high-quality images while minimizing file size and internet traffic. Historically, early image compression relied on rudimentary codecs, aiming to compress and decompress data with minimal loss of image quality. Recently, a novel compression framework leveraging colorization techniques has emerged. These methods, originally developed for infusing grayscale images with color, have found application in image compression, leading to colorization-based coding. Within this framework, the encoder plays a crucial role in automatically extracting representative pixels-referred to as color seeds-and transmitting them to the decoder. The decoder, utilizing colorization methods, reconstructs color information for the remaining pixels based on the transmitted data. In this paper, we propose a novel approach to image compression, wherein we decompose the compression task into grayscale image compression and colorization tasks. Unlike conventional colorization-based coding, our method focuses on the colorization process rather than the extraction of color seeds. Moreover, we employ the Denoising Diffusion Null-Space Model (DDNM) for colorization, ensuring high-quality color restoration and contributing to superior compression rates. Experimental results demonstrate that our method achieves higher-quality decompressed images compared to standard JPEG and JPEG2000 compression schemes, particularly in high compression rate scenarios.

Disaggregate Demand Forecasting and Estimation of the Optimal Price for VTIS (부가교통정보시스템(VTIS) 이용수요예측 및 적정이용료 산정에 관한 연구)

  • 정헌영;진재업;손태민
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.27-38
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    • 2002
  • VTIS(Value-added Traffic Information System), among the sub-systems of ATIS, is an Advanced Traffic System which innovates efficiency and safety. And this system, having marketability and publicness, is very important. Moreover, This system offers definite traffic information according to the demand of specified users. And it is expected to produce additional spread effects because of high participation rate of private sector. However, the VTIS service media are varied and there are varied optimal Prices and payment methods according to each medium. Because of that, there needs the study on these problems or optimal criteria. But because existing studies were devoted to estimate the optimal route, the study toward the optimal price which was considered part of user and service use demand do not exist. Accordingly, we surveyed under imaginary alternative pricing scenarios and forecasted the use demand of VTIS by using Binary Logit model. Also, for the users who answered that they would use VTIS service in survey, we classified their use's behaviors as four categories and estimated the use ratio to each category by using Ordered Probit model. Last, using sensitivity analysis for results form above, we derived the optimal price that is 2800won in monthly. 145won in payment per call. Then, VTIS service use rate is respectively 65%, 75%.

Effects of Inter-Vehicle Information Propagation on Chain Collision Accidents (차량간 정보전파의 연쇄추돌 교통사고에 대한 효과)

  • Chang, Hyun-ho;Yoon, Byoung-jo;Jeong, So-Yeon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.2
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    • pp.303-310
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    • 2018
  • One of most shocking headlines is a serious chain collision accident (CCA). The development of CCA has a temporal and spatial locality, and the information of the CCA is time-critical. Due to these characteristics of CCA, traffic accident information should be rapidly propagated to drivers in order to reduce chain collisions, right after the first accident occurs. Inter-vehicle communication (IVC) based on ad-hoc communication is one of promising alternatives for locally urgent information propagation. Despite this potential of IVC, research for the effects of IVC on the reduction of CCA has not been reported so far. Therefore, this study develops the parallel platform of microscopic vehicle and IVC communication simulators and then analyses the effects of IVC on the reduction of the second collision related to a series of vehicles. To demonstrate the potential of the IVC-based propagation of urgent traffic accident information for the reduction of CCA, the reduction of approaching-vehicle speed, the propagation speed of accident information, and then the reduction of CCA were analysed, respectively, according to scenarios of combination of market rates and traffic volumes. The analysis results showed that CCA can be effectively reduced to 40~60% and 80~82% at the penetration rates of 10% and 50%, respectively.