Conceptual Design of an Anti-collision System for Light Rail Vehicles

This paper presents the concepts for an anti-collision system intended for trams. The purpose of the anti-collision system is to develop and provide information to support the driver’s decision to initiate the braking of a tram. The anti-collision system is based on the processing of data from multiple sources (obstacle detection, image processing, and visual light communication system) and an expert system. The information about the road situation is visually presented on HUD (Head-up Display) of the driver.

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Collision Risk Mitigating System for Light Rail Vehicles(LRV)

Archives of Mechanical Technology and Materials ◽

10.2478/amtm-2018-0009 ◽

2016 ◽

Vol 38 (1) ◽

pp. 50-56

Author(s):

Bartosz Antkowiak

Keyword(s):

Control System ◽

Obstacle Detection ◽

Light Rail ◽

Vehicle Speed ◽

Ambient Conditions ◽

Collision Risk ◽

System Operation ◽

Rail Vehicles ◽

Braking Distance ◽

Vehicle Positioning

Abstract This piece is dedicated tothedescription of the development of collision risk mitigating system. The proposed concept of control system is designed to enhance safety ofpassengers, a driver and other people in vicinityof light rail vehicles (tramways).The requirements were fulfilled thanks to the application of lidar sensor and feature of vehicle positioning on the track map created basingon precise measurements with the use of satellite navigation systemReal Time Kinematic. The map allows to eliminate errors of system operation and to enhance resistance to unfavorable ambient conditions, i.e.temperature or fog. The system calculates work braking distance for particular vehicle speed. In case of obstacle detection which is closer to vehicle than the calculated braking distance, the driver is informed about a collision risk with a buzzer and optical signalization. The system has already been implemented and tested.

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APLIKASI PENAJAMAN CITRAA STREET VIEW MENGGUNAKAN METODE GRAMD SCHMIDT SPECTRAL SHARPENING DAN HIGH PASS FILTERING

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v3i1.1584 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Erna Verawati ◽

Surya Darma Nasution ◽

Imam Saputra

Keyword(s):

Image Processing ◽

Visual Information ◽

Intensity Difference ◽

Original Image ◽

Filtering Method ◽

The Road ◽

Street View ◽

Result Show ◽

Filter Process ◽

High Pass

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.

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Railway applications - Vehicle end design for trams and light rail vehicles with respect to pedestrian safety

10.3403/30317562u ◽

2020 ◽

Keyword(s):

Pedestrian Safety ◽

Light Rail ◽

Rail Vehicles

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Design, manufacture and testing of a prototype obstacle-detection device at blind corners: an automated highway system technology

Transportation Safety and Environment ◽

10.1093/tse/tdaa029 ◽

2020 ◽

Author(s):

Charles Atombo ◽

Emmanuel Gbey ◽

Apevienyeku Kwami Holali

Keyword(s):

Traffic Accidents ◽

Low Cost ◽

Effective Area ◽

Obstacle Detection ◽

The Road ◽

Vibration Sensors ◽

Road Signs ◽

Sensor Module ◽

Vehicle Path ◽

Automated Highway

Abstract Traffic accidents on highways are attributed mostly to the "invisibility" of oncoming traffic and road signs. "Speeding" also causes drivers to reduce the effective radius of the vehicle path in the curve, thus trespassing into the lane of the oncoming traffic. The main aim of this paper was to develop a multisensory obstacle-detection device that is affordable, easy to implement and easy to maintain to reduce the risk of road accidents at blind corners. An ultrasonic sensor module with a maximum measuring angle of 15° was used to ensure that a significant portion of the lane was detected at the blind corner. The sensor covered a minimum effective area of 0.5 m2 of the road for obstacle detection. Yellow light was employed to signify caution while negotiating the blind corner. Two photoresistors (PRs) were used as sensors because of the limited number of pins on the microcontroller (Arduino Uno). However, the device developed for this project achieved obstacle detection at blind corners at relatively low cost and can be accessed by all road users. In real-world applications, the use of piezoelectric accelerometers (vibration sensors) instead of PR sensors would be more desirable in order to detect not only cars but also two-wheelers.

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