• Title/Summary/Keyword: left turn trajectory

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Design of Drop Islands to Accommodate the Left Turn Trajectory and Stop Bar (좌회전 궤적과 정지선 위치를 고려한 물방울 교통섬 설계 방법)

  • Kim, Dong Nyong;Kim, Byung Jung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2D
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    • pp.217-225
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    • 2009
  • The study on the left turning trajectory has not done many times in Korea. Because of this, there are a lot of intersections built without considering on turning trajectory of vehicles, in Korea, and we can see many conflicts, reduced capacity of turn, especially at small intersections. Even if left turn trajectory is designed well, it is not easy to mark exactly on the pavement according to the turn trajectory. This study suggests "drop Islands" which can be seen in Europe, and is introduced in Korea recently, to solve the problems of conflicts and reduced capacity of turning. It suggests a table of location of the stop line so that the engineers who design the intersection design appropriate left turn trajectory and marking of the stop line and turn trajectory is done more exactly. To evaluate the effect of "drop island", two intersections with and without drop island were compared on the turnning radii and location of stop line. Construction of "drop island" can increase the capacity of intersection and safety without additional land and construction expenses.

Position of Stop Line according to the Left Turn Trajectory at Intersection (교차로 좌회전 궤적에 따른 정지선 위치에 관한 연구)

  • 김기용;김동녕
    • Journal of Korean Society of Transportation
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    • v.18 no.3
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    • pp.29-39
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    • 2000
  • Position of stop line according to left turn trajectory at intersections was studied. The Purpose of this study is to suggest a design guideline of left turn trajectory at intersections which is related to the Position of cross road stop line. Distance from the curb line to the stop line at each lane was calculated and discussed for various combination of road widths. Three design vehicle type and three control radii were considered. Setbacks of stop line from the curb line are Proportional to the control radius which depends on type of design vehicle. 8m, lim and 19m setback for control radius of 12m, 15m and 23m were calculated respectively as their maximum value. This result will be helpful to Paint the road marking on the Pavement which is usually difficult to fit to the designated radius. Field study of the effect of left turn trajectory on flow rate and safety was conducted. It was approved that improperly designed left turn trajectory decreases left turn capacity and increases conflicts among left turn flows of the adjacent lane.

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A Study on Decision of Stop-line Position and Capacity according to the Left-turn Trajectory at Intersection (교차로 좌회전 궤적에 따른 용량 및 정지선 위치결정에 관한 연구)

  • 김기용
    • Proceedings of the KOR-KST Conference
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    • 1999.10a
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    • pp.315-320
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    • 1999
  • 교차로 좌회전 이동류에 대해 곡선반경의 확보여부는 용량 및 안전성측면에 많은 영향을 주게 된다. 죄회전 곡선반경의 결정은 설계기준차량의 회전궤적에 따라 결정되며 곡선반경의 모양은 원곡선의 형태를 유지하는 것이 바람직한 형태로 제시되고 있다. 교차로 설게시 곡선반경의 확보방안으로 정지선을 후퇴시키는 방안을 제시함으로서 좌회전 이동류에 대해 용량 및 안전성을 개선할 수 있도록 하였다.

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Unsupervised Motion Learning for Abnormal Behavior Detection in Visual Surveillance (영상감시시스템에서 움직임의 비교사학습을 통한 비정상행동탐지)

  • Jeong, Ha-Wook;Chang, Hyung-Jin;Choi, Jin-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.45-51
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    • 2011
  • In this paper, we propose an unsupervised learning method for modeling motion trajectory patterns effectively. In our approach, observations of an object on a trajectory are treated as words in a document for latent dirichlet allocation algorithm which is used for clustering words on the topic in natural language process. This allows clustering topics (e.g. go straight, turn left, turn right) effectively in complex scenes, such as crossroads. After this procedure, we learn patterns of word sequences in each cluster using Baum-Welch algorithm used to find the unknown parameters in a hidden markov model. Evaluation of abnormality can be done using forward algorithm by comparing learned sequence and input sequence. Results of experiments show that modeling of semantic region is robust against noise in various scene.

Analysis of vehicle central line invasion accidents using simulation (시뮬레이션을 이용한 차량의 중앙선 침범 사고 해석)

  • Han, Chang-Pyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.507-513
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    • 2021
  • This study examined the final stop position and posture of both vehicles, the damaged part of the vehicle, the road surface, the specifications of the vehicle, and the angle of impact, centering on the case of a collision in which no surface trace was found. As a result of the simulation, the impact velocity of an SM5 and Lexus was 131 km/h and 74 km/h, respectively, and the impact angle of the SM5 and Lexus was 0.91° and -161.07°, respectively. The cause of the accident was that the SM5 passed through the intersection exceeding the maximum speed limit of 61 km/h and entered the Lexus' left turn lane. Lexus collided during the evacuation to avoid the collision. The collision trajectory error rate of the simulation was approximately 1.4%. Of the subjective experience of accident investigators, the collision dynamics and vehicle engineering aspects and simulations were actively utilized to provide close-to-fact cause identification.

Development of Optimized Headland Turning Mechanism on an Agricultural Robot for Korean Garlic Farms

  • Ha, JongWoo;Lee, ChangJoo;Pal, Abhishesh;Park, GunWoo;Kim, HakJin
    • Journal of Biosystems Engineering
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    • v.43 no.4
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    • pp.273-284
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    • 2018
  • Purpose: Conventional headland turning typically requires repeated forward and backward movements to move the farming equipment to the next row. This research focuses on developing an upland agricultural robot with an optimized headland turning mechanism that enables a $180^{\circ}$ turning positioning to the next row in one steering motion designed for a two-wheel steering, four-wheel drive agricultural robot named the HADA-bot. The proposed steering mechanism allows for faster turnings at each headland compared to those of the conventional steering system. Methods: The HADA-bot was designed with 1.7-m wide wheel tracks to travel along the furrows of a garlic bed, and a look-ahead path following algorithm was applied using a real-time kinematic global positioning system signal. Pivot turning tests focused primarily on accuracy regarding the turning radius for the next path matching, saving headland turning time, area, and effort. Results: Several test cases were performed by evaluating right and left turns on two different surfaces: concrete and soil, at three speeds: 1, 2, and 3 km/h. From the left and right side pivot turning results, the percentage of lateral deviation is within the acceptable range of 10% even on the soil surface. This U-turn scheme reduces 67% and 54% of the headland turning time, and 36% and 32% of the required headland area compared to a 50 hp tractor (ISEKI, TA5240, Ehime, Japan) and a riding-type cultivator (CFM-1200, Asia Technology, Deagu, Rep. Korea), respectively. Conclusion: The pivot turning trajectory on both soil and concrete surfaces achieved similar results within the typical operating speed range. Overall, these results prove that the pivot turning mechanism is suitable for improving conventional headland turning by reducing both turning radius and turning time.

Analysis of Intersection Signal Violation Accident Using Simulation (시뮬레이션을 이용한 교차로 신호위반 사고 해석)

  • Han, Chang-Pyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.424-430
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    • 2021
  • Determining the cause of a traffic signal violation is difficult if the drivers' claims are contradictory. In this study, the process of identifying signal violations using a simulation was presented based on cases. First, statements from the driver or witness whose cause of the signal violation is unclear were excluded. Second, the final position, final location, damaged area, steering status, braking status, and road surface traces of the vehicle were collected. The impact point was investigated from the stop line. Third, simulation data were modified and entered until the collision situation of the accident vehicle and the final stop position were met. Fourth, if the simulation results were consistent with the crash situation, the facts were verified by cross-validation to conform to the driver's statement. The results of the simulation showed that the Lexus entered the left turn signal in the intersection at approximately 55 km/h. In comparison, the Sonata driver saw the vehicle straight ahead at the intersection, entered the 72 km/h intersection, and collided with the Lexus. Therefore, the Sonata was identified as a signal violation, and the claims of the Sonata driver, witnesses, and police were contradictory.