• Title/Summary/Keyword: Car-following

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Design of Secure Scheme based on Bio-information Optimized for Car-sharing Cloud (카 쉐어링 클라우드 환경에서 최적화된 바이오 정보 기반 보안 기법 설계)

  • Lee, Kwang-Hyoung;Park, Sang-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.11
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    • pp.469-478
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    • 2019
  • Car-sharing services have been settled on as a new type of public transportation owing to their enhanced convenience, expanded awareness of practical consumption patterns, the inspiration for environmental conscientiousness, and the diffusion of smart phones following the economic crisis. With development of the market, many people have started using such services. However, security is still an issue. Damage is expected since IDs and passwords are required for log-in when renting and controlling the vehicles. The protocol suggested in this study uses bio-information, providing an optimized service, and convenient (but strong) authentication with various service-provider clouds registering car big data about users through brokers. If using the techniques suggested here, it is feasible to reduce the exposure of the bio-information, and to receive service from multiple service-provider clouds through one particular broker. In addition, the proposed protocol reduces public key operations and session key storage by 20% on mobile devices, compared to existing car-sharing platforms, and because it provides convenient, but strong, authentication (and therefore constitutes a secure channel), it is possible to proceed with secure communications. It is anticipated that the techniques suggested in this study will enhance secure communications and user convenience in the future car-sharing-service cloud environment.

A Design and Implementation of Floor Detection Application Using RC Car Simulator (RC카 시뮬레이터를 이용한 바닥 탐지 응용 설계 및 구현)

  • Lee, Yoona;Park, Young-Ho;Ihm, Sun-Young
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.12
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    • pp.507-516
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    • 2019
  • Costs invested in road maintenance and road development are on the rise. However, due to accidents such as portholes and ground subsidence, the risks to the drivers' safety and the material damage caused by accidents are also increasing. Following this trend, we have developed a system that determines road damage, according to the magnitude of vibration generated without directly intervening the driver when driving. In this paper, we implemented the system using a remote control car (RC car) simulator due to the limitation of the environment in which the actual vehicle is not available in the process of developing the system. In addition, we attached a vibration sensor and GPS sensor to the body of the RC car simulator to measure the vibration value and location information generated by the movement of the vehicle in real-time while driving, and transmitting the corresponding data to the server. In this way, we implemented a system that allows external users to check the damage of roads and the maintenance of the repaired roads based on data more easily than the existing systems. By using this system, we can perform early prediction of road breakage and pattern prediction based on the data. Further, for the RC car simulator, commercialization will be possible by combining it with business in other fields that require flatness.

The Rolling Stock operation reliability improvement plan which applies a data base of the RIMS (RIMS 데이타를 활용한 전동차 운행 신뢰성 향상방안)

  • Park, Soo-Choong;Lee, Do-Sun;Jeon, Seo-Tak;Son, Young-Jin
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.57-64
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    • 2007
  • RIMS(Rolling Stock Information Maintenance System) was installed in structure which it can analyze the data base in need of credibility maintenance. So it could accumulate real data without repulsion of working spot. Information system was installed not following to system but following to working spot. The development of RIMS project was started from March 29, 2001 and it has been operating from October 12, 2004 in Chang-dong Car depot for light maintenance in charge subway line4. So substantial data base was accumulated for three years. This study calculated all RAMS data by analyzing data base accumulated in RIMS and used in dada base about credibility maintenance and found investigation of propriety, expectation of the life cycle cost, the improvement plan on credibility of sorts of cars and formation about the cycle of repairing and maintenance. This got MKBSF MKBF and MTBF about devices and sorts of line4 Rolling Stocks for it.

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The Rolling Stock operation reliability improvement plan which applies a data base of the RIMS (RIMS 데이타를 활용한 전동차 운행 신뢰성 향상방안)

  • Park, Soo-Choong;Lee, Do-Sun;Jeon, Seo-Tak;Son, Young-Jin
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.143-150
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    • 2007
  • RIMS(Rolling Stock Information Maintenance System) was installed in structure which it can analyze the data base in need of credibility maintenance. So it could accumulate real data without repulsion of working spot. Information system was installed not following to system but following to working spot. The development of RIMS project was started from March 29, 2001 and it has been operating from October 12, 2004 in Chang-dong Car depot for light maintenance in charge subway line4. So substantial data base was accumulated for three years. This study calculated all RAMS data by analyzing data base accumulated in RIMS and used in dada base about credibility maintenance and found investigation of propriety, expectation of the life cycle cost, the improvement plan on credibility of sorts of cars and formation about the cycle of repairing and maintenance. This got MKBSF MKBF and MTBF about devices and sorts of line4 Rolling Stocks for it.

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A Study on Regenerative Braking of Electric Vehicle (전기자동차 회생제동에 관한 연구)

  • Jeon, Beom-Jin;Sul, Seung-Ki
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.290-292
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    • 1995
  • In this paper, the regenerative braking control system for 4 WD Electric Vehicle (EV) is proposed. Many studies on efficient drive of EV are being done to prolong the one charge distance. By using the regenerative braking (REGEN), the resulting EV system has following advantages : a) battery is recharged with the mechanical energy of EV, b) the running load can be reduced, and consequently the efficiency can be increased. The problem of REGEN that the power acceptance ability of battery is limited can be solved by controlling regenerative braking torque. The proposed control system has following characteristics. : a) It controls regenerative power by varying mechanical braking torque. b) It controls mechanical braking torque using load torque observer. c) It controls the regenerative braking torque independently. The control scheme and simulation results are presented for the experimental car.

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An Algorithm for the Asynchronous PRT Vehicle Control System (비동기식 PRT 차량의 주행제어 알고리즘)

  • Chung, Sang-Gi;Jeong, Rag-Kyo;Kim, Baek-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.93-99
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    • 2011
  • A PRT vehicle's control method is presented in this paper. In the asynchronous vehicle control system, vehicles follow their leading vehicles. Leading vehicles are defined differently among the different types of track. The main topic of this paper is to present a method to define the leading vehicle among different types of track and the calculation algorithm of the safety length the following vehicle must maintain. Simulation program is developed using the algorithm and the results of the test run are presented. An asynchronous PRT vehicle control algorithm was presented by Szillat in the paper "A low level PRT Microsimulation, Dissertation, University of Bristol, 2001". But it is different from the algorithm in this paper. In the algorithm proposed by Markus, vehicles in the merging track are controlled synchronously, and its safety distance between the leading and the following car is evaluated after the establishment of the complicated future time-location table instead of simple equations proposed in this paper.

A Quick MPPT Strategy of Rooftop Photovoltaic Generation System for the Electric Vehicle (전기자동차를 위한 루프형 태양광 발전 시스템의 속응 최대 전력점 추종기법)

  • Kang, Kyoungpil;Cho, Younghoon;Choe, Gyu-Ha
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.325-326
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    • 2014
  • This paper is research about the Maximum Power Point Tracking following algorism of solar power system attached small electric car. In this paper, we investigate P&O MPPT and Incremental Conduction MPPT among existing MPPT following algorism. And by changing them, the better algorism is proposed being able to follow Maximum Power Point rapidly as amount of solar radiation changes applied to the Solar Energy Generation System.

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Methodology for Evaluating Collision Risks Using Vehicle Trajectory Data (개별차량 주행패턴 분석을 통한 교통사고 위험도 분석 기법)

  • Kim, Joon-Hyung;Song, Tai-Jin;Oh, Cheol;Sung, Nak-Moon
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.51-62
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    • 2008
  • An innovative feature of this study is to propose a methodology for evaluating safety performance in real time based on vehicle trajectory data extracted from video images. The essence of evaluating safety performance is to capture unsafe car-following and lane-changing events generated by individual vehicles traveling within video surveillance area. The proposed methodology derived three indices including real-time safety index(RSI) based on the concept of safe stopping distance, time-to-collision(TTC), and the collision energy based on the conservation of momentum. It is believed that outcomes would be greatly utilized in developing a new generation of video images processing(VIP) based traffic detection systems capable of producing safety performance measurements. Relevant technical challenges for such detection systems are also discussed.

Impacts of Automated Vehicle Platoons on Car-following Behavior of Manually-Driven Vehicles (군집주행 환경이 비자율차량의 차량 추종에 미치는 영향분석)

  • Suh, Sanghyuk;Lee, Seolyoung;Oh, Cheol;Choi, Saerona
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.107-121
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    • 2017
  • This study conducted a 3-stage survey and simulation experiment to identify the impact of vehicle platoons on car-following behavior of manually-driven vehicles. Vehicle maneuvering data obtained from driving simulations was statistically analyzed based on three measures including average speed, acceleration noise, and offset to represent the deviation of lateral movements. Results indicate that MV drivers tended to have psychological burden while driving in automated vehicle platooning environments, which resulted in different vehicle maneuvers. It is expected that the outcome of this study would be useful fundamentals in developing various traffic operations strategies for managing mixed traffic stream consisting of MVs and autonomous vehicles.

A Delay and Sensitivity of Delay Analysis for Varying Start of Green Time at Signalized Intersections: Focused on through traffic (신호교차로의 출발녹색시간 변화에 따른 직진교통류의 지체 및 지체민감도 분식)

  • Ahn, Woo-Young
    • International Journal of Highway Engineering
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    • v.9 no.4
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    • pp.21-32
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    • 2007
  • The linear traffic model(Vertical queueing model) that is adopted widely in traffic flow estimation assumes that all vehicles have the identical motion before joining a queue at the stop-line. Thus, a queue is supposed to form vertically not horizontally. Due to the simplicity of this model, the departure time of the leading vehicle is assumed to coincide with the start of effective green time. Thus, the delay estimates given by the Vertical queueing model is not always realistic. This paper explores a microscopic traffic model(a Kinematic Car-following model at Signalised intersections: a KCS traffic model) based on the one dimensional Kinematic equations in physics. A comparative evaluation in delay and sensitivity of delay difference between the KCS traffic model and the previously known Vertical queueing model is presented. The results show that the delay estimate in the Vertical queueing model is always greater than or equal to the KCS traffic model; however, the sensitivity of delay in the KCS traffic model is greater than the Vertical queueing model.

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