• Title/Summary/Keyword: Traffic lights

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Artificial Potential Function for Driving a Road with Traffic Light (신호등 신호에 따른 차량 주행 제어를 위한 인공 전위 함수)

  • Kim, Duksu
    • Journal of KIISE
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    • v.42 no.10
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    • pp.1231-1238
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    • 2015
  • Traffic light rules are one among the most common and important safety rules as the directly correlate with the safety of pedestrians. Consequently, an algorithm is required to cause an automated (or semi-automated) vehicle to observe traffic light signals. We present a novel, artificial potential function to guide an automated vehicle through traffic lights. Our function consists of three potential function components representing the three traffic light colors: green, yellow, and red. The traffic light potential function smoothly changes an artificial potential field using the elapsed time for the current light and light conversion. Our traffic light potential function is combined with other potential functions to guide vehicles' movement and constructs the final artificial potential field. Using various simulations, we found or method successfully guided the vehicle to observe traffic lights while behaving like human-controlled cars.

Effectiveness of Leading Light by Reflecting the Characteristics of Marine Traffic at Gamcheon Port (감천항 선박교통 특성을 반영한 도등 효용성 분석)

  • Shin-Young Ha;Seung-gi Gug
    • Journal of Navigation and Port Research
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    • v.48 no.3
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    • pp.232-238
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    • 2024
  • This study examines the effectiveness of Gamcheon Port's leading lights in reflecting the characteristics of ship traffic entering the port. The leading light of Gamcheon Port was proposed and installed in 1996 during the basic design process of supplementing the port's route signs for the entry and exit of 4,000 TEU container ships. Since then, it has been improved to accommodate the entry of 50,000 DWT general cargo ships and to reflect the crane height of Hanjin Pier, as a result of a review study conducted by the Busan Regional Maritime Affairs and Fisheries Administration to improve the still temperature of Gamcheon Port by relocating existing outer facilities. However, an analysis of the current characteristics of maritime traffic at Gamcheon Port reveals that maritime traffic congestion is smooth and the proportion of small and medium-sized ships under 10,000 tons is higher than that of large ships, resulting in decreased efficiency of the leading lights to respond to the entry of large ships. Nevertheless, considering the increasing CAGR of the entry ratio of ships of 30,000 tons or more by 8.45%, preparations for the anticipated increase in the proportion of large ships entering the port in the future are necessary, and it is preferable to maintain the function of the leading lights rather than demolishing the entrance to Gamcheon Port. The narrow nature of the Gamcheon Port route poses a higher risk of collision when ships entering and exiting encounter each other, which can burden the navigator. Therefore, instead of maintaining the function of the leading lights, it is possible to relocate the conduction light to reduce maintenance burden and install a direction light in its place. When installing the direction light, it is worth considering using Double Sector Lights instead of the currently installed Single Sector Lights at nearby Busan Bukhang Port, as the former can improve user satisfaction by providing a clearer middle line and reducing difficulties in distinguishing between points.

Odyssey for the Standard Design of Highway Minor Structures (Cantilever Columns for Signs, Luminaries, Traffic Signals) (도로상 부구조물(교통표지판 및 가로등 지주)의 설계여정)

  • Cho, Taejun;Kim, Myeong-Han;Ji, Hyo-Seon
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.6 no.3
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    • pp.62-68
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    • 2015
  • As a preparation of a design standard regarding road facilities, such as cantilever columns for traffic lights, street lights on highways is proposed. Currently these minor structures are designed based on guidelines which are mixed with multiple old foreign specifications without any criteria in terms of safety and economy, which could lead irregular safeties and the loss of national properties. In the considered two cases for effective projected area, it is found that following efficient way of design without critical analyses could make significant errors and miscalculations. Therefore, a fundamental research on the minor structures is urgently needed.

Behavior of Integrated Column and Foundation by Field Load Tests (기초와 기둥 통합구조물의 현장시험 및 거동)

  • Yoon, Yeo-Won;Kim, Keun-Soo;Min, Kwang-Hong;Lee, Young-Ho;Kim, Dae-Hak
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.03a
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    • pp.1073-1076
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    • 2010
  • Shallow foundations of various columns such as traffic signs, CCTVs, traffic lights, street lights, steel telephone poles and so on are made by cast-in-situ concrete method. However, typical cast-in-situ method has many problems because of the long duration of construction, occupation of sidewalks and low strength of the concrete after curing. In order to solve the problems, field load tests for the prefabricated DSF foundation made by combination of column and foundation was conducted to know load-deformation behavior by torsional tests.

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Novice Next-Generation Traffic Light System for Safe Pedestrian Crossing (보행자의 안전한 횡단을 위한 새로운 차세대 신호등 시스템)

  • Cho, Seung-Pyo;Shin, Seong-Yoon;Jo, Gwanghyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.12
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    • pp.1934-1937
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    • 2022
  • The meaning of crosswalks and traffic lights in modern society has changed a lot as the enforcement of traffic signal violations has been strengthened. In this paper, we present a new next-generation traffic light method using radar and Can-bus communication methods suitable for the new traffic signal enforcement system. This method is a system that prevents accidents by transmitting information on the entry of a person and a car to a traffic light in a place where a person and a car passing through a mutually invisible traffic light cannot be seen. Since this system has only been developed for a month, it may be somewhat lacking in experimentation. However, in just one month, there have been no incidents except for a few people where the system has been installed.

Development of LED Traffic Light Lens with snow removing function (제설 기능을 갖는 LED 신호등 렌즈 개발)

  • Lee, Dongeun;Seol, Dongyoul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.41-48
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    • 2017
  • It is necessary to develop an LED traffic light lens having a snow removal function capable of clearly providing a traffic signal to the driver even when a traffic light is blurred due to heavy snow and wind in the winter season. This study is focused on the research and development of the traffic light lens in the process of developing the LED traffic light with the snow removal function. In the developed traffic light lens, instead of attaching the film heater, the coated nichrome wire was wound into a coil shape and inserted directly into the groove in the lens. The developed heater system facilitates the insertion of the heating wire with high elasticity into a curved lens and can provide a sufficient heat without deformation of the PC lens. The proposed traffic lights were tested in various external environments and the test results showed that complete snow removal is possible without tunnel effect.

Traffic Light Recognition Using a Deep Convolutional Neural Network (심층 합성곱 신경망을 이용한 교통신호등 인식)

  • Kim, Min-Ki
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1244-1253
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    • 2018
  • The color of traffic light is sensitive to various illumination conditions. Especially it loses the hue information when oversaturation happens on the lighting area. This paper proposes a traffic light recognition method robust to these illumination variations. The method consists of two steps of traffic light detection and recognition. It just uses the intensity and saturation in the first step of traffic light detection. It delays the use of hue information until it reaches to the second step of recognizing the signal of traffic light. We utilized a deep learning technique in the second step. We designed a deep convolutional neural network(DCNN) which is composed of three convolutional networks and two fully connected networks. 12 video clips were used to evaluate the performance of the proposed method. Experimental results show the performance of traffic light detection reporting the precision of 93.9%, the recall of 91.6%, and the recognition accuracy of 89.4%. Considering that the maximum distance between the camera and traffic lights is 70m, the results shows that the proposed method is effective.

Autonomous Agents Navigating in Virtual Road Network

  • Cho, Eun-Sang;Choi, Kwang-Jin;Ko, Hyeongseok
    • Proceedings of the Korea Society for Simulation Conference
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    • 1997.04a
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    • pp.81-85
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    • 1997
  • In a virtual environment, agents must demonstrate some degree of realism and interactivity. This paper discusses the algorithm that enables agents to navigate a virtual road network realistically and interactively. The road description files written in this language provide the information of road environments to the navigating agents and the scene visualizer. We call this navigating agent in the road an ambient car. The ambient cars must follow the traffic rules as human does. To do this, the ambient car should continuously check its circumstances, such as, the traffic lights, lanes, road signs, and other ambient cars. Because of the huge scale of road network and the large number of ambient cars, the algorithm considers only the area where the participant is currently located. By this locality, the performance of the whole system does not fluctuate much in different situations. The behavior of ambient cars according to the predefined rules may appear monotonous. We added probability distribution functions to introduce some randomness. We implemented the above idea on silicon Graphics Indigo 2 workstation. The ambient car exhibited its awareness of lanes, traffic lights, and other cars. The participants could hardly distinguish between a human-controlled car and computer-controlled ambient car generated by the algorithm.

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Traffic Light Detection Method in Image Using Geometric Analysis Between Traffic Light and Vision Sensor (교통 신호등과 비전 센서의 위치 관계 분석을 통한 이미지에서 교통 신호등 검출 방법)

  • Choi, Changhwan;Yoo, Kook-Yeol;Park, Yongwan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.2
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    • pp.101-108
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    • 2015
  • In this paper, a robust traffic light detection method is proposed by using vision sensor and DGPS(Difference Global Positioning System). The conventional vision-based detection methods are very sensitive to illumination change, for instance, low visibility at night time or highly reflection by bright light. To solve these limitations in visual sensor, DGPS is incorporated to determine the location and shape of traffic lights which are available from traffic light database. Furthermore the geometric relationship between traffic light and vision sensor is used to locate the traffic light in the image by using DGPS information. The empirical results show that the proposed method improves by 51% in detection rate for night time with marginal improvement in daytime environment.