scholarly journals Automatic Train Protection (ATP) and Signaling with Accident Avoidance System for Indian Railways

2020 ◽  
Vol 9 (6) ◽  
pp. 986-990
Keyword(s):  
Annual Report ◽  
Ultrasonic Sensor ◽  
The Other ◽  
Light Signaling ◽  
Traffic Light ◽  
Level Crossing ◽  
Level Crossings ◽  
Traffic Lights ◽  
Ir Sensors ◽  
Arduino Uno

Automatic Train Protection (ATP) and signaling with accident avoidance system for Indian Railways is proposed in this paper which aims to develop p a prototype of a safety system for unmanned level crossing areas and to avoid train accidents due to collisions and obstacles. The system consists of two Arduino Uno boards, two IR Sensors, two traffic lights on both sides of the track, servomotor controlled gate and an ultrasonic sensor to stop the train in case of any obstacle in front of running train .According to the INDIAN RAILWAYS ANNUAL REPORT AND ACCOUNTS 2014-15 [1] the main cause of accidents were carelessness on unmanned level crossings and the number of injured and killed were maximum due to this reason mentioned in [1]. The proposed system has automatic traffic light signaling on both sides of the track which indicates the traffic to stop while the train is moving and the gates on both sides of the track will automatically close to stop the transport and open after train crosses the other end. The proposed system will also provide safety for train collisions. This logic was applied in Embedded C and programmed to the Arduino Uno.

A simple traffic-light semiotic model for tagmemic theory

Semiotica ◽  
2018 ◽  
Vol 2018 (225) ◽  
pp. 253-267
Author(s):  
Vern Poythress
Keyword(s):  
Natural Language ◽  
The Other ◽  
Multiple Views ◽  
Semiotic Analysis ◽  
Traffic Light ◽  
Semiotic System ◽  
Traffic Lights ◽  
Semiotic Model ◽  
Semiotic Approach ◽  
Field View

AbstractThe complexity and flexibility of tagmemic theory, as a semiotic theory developed by Kenneth L. Pike, can be better understood by examining how it applies to a simple semiotic system like traffic lights. We can then compare the result with how it functions in analyzing a piece of natural language. Tagmemic theory introduces three observer viewpoints – the particle view, the wave view, and the field view. Each view generates a suite of questions to answer. Any one of the views results in a “complete” description of traffic lights, from which the information about the other views can be inferred. And yet each view is distinct in texture from the others, and the existence of such multiple views – each with a claim to emic integrity and each serving as a perspective on the whole – has to be accounted for in a robust semiotic approach. The same phenomena occur when we apply the three views to the analysis of meaning in natural language. The chief illustration is to analyze the meaning of the word dog in multiple ways. The multi-dimensional potential for semiotic analysis highlights the limitations of Aristotelian logic and symbolic logic, both of which simplify for the sake of rigor.

scholarly journals Prevention of Disasters using Automated Railway Crossing System

2020 ◽  
Vol 9 (4) ◽  
pp. 491-494
Keyword(s):  
Ultrasonic Sensor ◽  
Ultrasonic Sensors ◽  
Level Crossing ◽  
Dc Motors ◽  
Driver Circuit ◽  
Arduino Uno ◽  
Railway Crossing

Railway is the most prominent and most economical way of transport. Majority of people depend on railways for transportation. Rail modes are most commonly used and very effective mode of commuting and goods carriage over long, short distances. In this paper, we are preparing a system in order to prevent the disasters which happen due to unmanned level crossing in the railways. For this system, Arduino Uno is used as the platform with ATMEGA16U2 as the microcontroller. In order to detect the train as well as the obstacles ultra-sonic sensors are used. When the train approaches the unmanned zone, ultrasonic sensor will detect the arrival of train which is kept 2 KM away from the railway crossing zone. The input of ultrasonic sensor is sent to Arduino Uno to activate the railway gates operated by DC motors. These gates are controlled or driven by motor driver circuit. If any obstacles are detected on the track can also be detected by the ultrasonic sensors which are kept at the gate and it will alert the train, with the help of led signal. Due to this led signal, the train will slow down the speed mechanically or even the train can stop if it's necessary. This system is demonstrated to prevent and stop the disaster at railway crossing zones.

scholarly journals Automatic Railway Gate Control System Using RFID with High Speed Alerting System

2019 ◽  
pp. 303-306
Author(s):  
M. Florence Dayana ◽  
R. Bhuvaneshwari
Keyword(s):  
Control System ◽  
High Speed ◽  
Entire System ◽  
Level Crossing ◽  
Level Crossings ◽  
Major Mode ◽  
Ir Sensors ◽  
Human Labour ◽  
Alerting System ◽  
Gate Control

The main objective of this paper is to avoid the railway accidents happening at the level crossings. In India railway is the major mode of the transportations and it is the cheapest way for travelling. So there are more numbers of rail users. And it is not easy to stop railway anywhere to prevent accident or for any other reason. Due to that there are major drawbacks of that. At present manned system is available at level crossings. Hence, many accidents occur at such crossings, since there is no one to take care of the functioning of the railway gate when a train approaches the crossing. The objective of this paper is to manage the control system of railway gate using the microcontroller. This model includes IR sensors, RFID, LCD, buzzer, light led, motor driver and microcontroller PIC16F877A. In the automatic railway gate control system, at the level crossing the arrival of the train is detected by the IR sensor and RFID placed near to the gate. In case of RFID it detects only arrival of train. Hence, the time for which it is closed is less compared to the manually operated gates and reduces the human labour. As the entire system is automated errors occurring due to manual operation are prevented because the accuracy of automated operation is more than the manned operation.

scholarly journals Development of a system for analyzing and unloading road traffic using artificial intelligence

2021 ◽  
Vol 2094 (3) ◽  
pp. 032036
Author(s):  
L M Akhmetov ◽  
D I Bikov ◽  
M R Khamidullin ◽  
G A Gareeva ◽  
G K Gabdullina
Keyword(s):  
Artificial Intelligence ◽  
Growth Rate ◽  
Automotive Industry ◽  
Road Traffic ◽  
Traffic Light ◽  
Traffic Lights ◽  
Arduino Uno ◽  
Smart Traffic

Abstract Every year, the growth rate of cars in Russia will continue to grow, which makes it extremely difficult to organize road traffic. To solve this problem, innovations in the automotive industry, such as smart traffic lights, are needed to more effectively regulate traffic on public roads. Therefore, an urgent issue is the development of a system for analyzing and unloading road traffic to improve the situation at intersections and subsequent automation through the introduction of artificial intelligence. The Arduino Uno was chosen as the layout for the organization of a smart traffic light.

scholarly journals Evaluation of Railway Level Crossing Attributes on Accident Causation in Lagos, Nigeria.

2017 ◽  
Vol 48 (2) ◽  
pp. 108 ◽  
Author(s):  
Adeolu O Dina ◽  
Cornelius O Akanni ◽  
Bamidele A Badejo
Keyword(s):  
Warning Systems ◽  
Traffic Light ◽  
Level Crossing ◽  
Level Crossings ◽  
Counter Measures ◽  
Car Traffic ◽  
Accident Causation ◽  
Pedestrian Traffic ◽  
Physical Attributes ◽  
The Individual

Abstract The study examines the contribution of Railway Level Crossing (RLC)physical attributes to accident occurrence using the12 major level crossings within the Lagos metropolis. The 48km single track mainline section under consideration which barely make up 1.1% of the entire narrow gauge track network of the country within a 5 year period contributed about 45% of the total National crossing accidents recorded in Nigeria. The method of investigation involved recording the individual attributes of each RLC such asgates, pedestrian traffic, car traffic light, proximity of signage to crossing, vehicular traffic as dummy variables.The regression analysis  was used to measure their effect on accidents.The result indicates gates, pedestrians and the location of signage had significant impact on accidents occurrence at level crossings within Lagos metropolis. Based on the findings, enhancement of active warning systems among other recommendations was suggested as potent counter measures for RLC accident reduction.Abstrak Penelitian menguji tingkat kontribusi atribut fisik dari perlintasan jalan kereta api terhadap kejadian kecelakaan menggunakan 12 perlintasan utama dalam kota metropolis Lagos. 48 km jalan utama tunggal menjadi pertimbangan yang hampir meningkat 1.1% dari seluruh trek sempit jaringan negara dalam jangka waktu 5 tahun menyumbang sekitar 45% dari total kecelakaan perlintasan secara Nasional di Nigeria. Metode penelitian melibatkan catatan dari masing-masing atribut RLC seperti pintu gerbang, pejalan kaki, lampu lalu lintas mobil, kedekatan tanda penyebarangan, lalu lintas kendaraan sebagai variabel dumi. Analisis regresi digunakan untuk mengukur pengaruh dari atribut terhadap kecelakaan. Hasilnya menunjukkan pintu gerbang, pejalan kaki, dan lokasi tanda perlintasan mempunyai dampak signifikan pada kecelakaan dalam kota metropolis Lagos.Berdasarkan penemuan tersebut, perbaikan dari sistem peringatan aktif disarankan sebagai upaya mengurangi kecelakaan RLC.  

scholarly journals Intelligent Traffic Light Management using Multi-Behavioral Agents

2017 ◽  
Author(s):  
Luis Cruz-Piris ◽  
Diego Rivera ◽  
Ivan Marsa-Maestre ◽  
Enrique De la Hoz ◽  
Susel Fernandez
Keyword(s):  
The Other ◽  
Vehicular Traffic ◽  
Urban Mobility ◽  
Multi Agent Systems ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
Light Management ◽  
Multi Agent ◽  
Selfish Agents

One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.

scholarly journals Solar Based Smart Lawn Mower

2020 ◽  
Vol 9 (4) ◽  
pp. 2190-2194
Keyword(s):  
Solar Energy ◽  
Ultrasonic Sensor ◽  
Solar Panel ◽  
Human Intervention ◽  
Test Bed ◽  
Lawn Mower ◽  
Ir Sensors ◽  
Arduino Uno ◽  
Robotic Applications ◽  
Typical Test

Our lawn mower is a self grass cutting vehicle running on solar energy which avoiding obstacles, increases the capability of complete mechanized grass cutting devoid of any necessity of any human intervention. Our structure requires a couple of 12V batteries to influence up the motors of the blades and for the movement. Lawn mowing is regarded as one of the most boring or tiring everyday jobs. It is also very reliable private robotic applications. The principle of this paper is to study and re-define the art in robotic lawn mowers to highlight the needs and capabilities of today's devices. A brief survey of available products, some patents and typical test bed prototypes are also provided. Some enabling techniques that make the vehicles more efficient are also suggested. We have utilized a solar board i.e. solar panel to charge the batteries the lawn mower and robot motors are interfaced to an Arduino Uno which governs the implementation of each motor. It is additionally used to interface an ultrasonic sensor for obstacle recognition and IR sensors for stopping the vehicle. The importance of this research lies in the presentation of an overview of a potential big market for personal vehicles.

scholarly journals Development and Designing Smart Traffic Light with Xbee Pro

2018 ◽  
Vol 215 ◽  
pp. 01009
Author(s):  
Alfith Alfith ◽  
Kartiria Kartiria
Keyword(s):  
Green Light ◽  
The Other ◽  
Traffic Density ◽  
Main Function ◽  
Traffic Light ◽  
Traffic Lights ◽  
Road Users ◽  
Fire Engine ◽  
Smart Traffic ◽  
Wireless Module

The main function of the highway are used as a means to facilitate transportation, but today is often challenging due to all road users wanting more quickly reach its destination and precede each other. On the other hand, there is also a special car or entourage effect on traffic density, which in turn impact on congestion. To cope with this is actually the duty of the Traffic Police is not every day got in the way to manage traffic and will not be able to count the number of passing vehicles. To direct the traffic at any place such as a T-junction, an intersection, or intersection five solid pace of the traffic, the necessary traffic arrangements multifunctional tool called Smart Traffic Light. Called smart because the traffic light is deemed able to overcome three problems, such detect traffic density which affects the green light sensor uses the object infrared, able to detect the presence of specific signal from cars special like ambulance or fire engine or police or the like are automatically will change traffic lights red to green light using the XBee wireless module Pro and GPS, and seeks the traffic lights stay lit even though the supply of PLN extinguished using a spare battery. The system is capable of regulating the rate of traffic by arranging alternately road vehicle that passes a certain spot every day for nearly 24 hours a day and on these tools need to pair every day.

scholarly journals Solar Based Smart Lawn Mower

2020 ◽  
Vol 9 (4) ◽  
pp. 2190-2194
Author(s):  
R.S. Keote ◽  
◽  
Prasanna Kale ◽  
Chaitanya Raut ◽  
Bhaskar Samavedula ◽  
...  
Keyword(s):  
Solar Energy ◽  
Ultrasonic Sensor ◽  
Solar Panel ◽  
Human Intervention ◽  
Test Bed ◽  
Lawn Mower ◽  
Ir Sensors ◽  
Arduino Uno ◽  
Robotic Applications ◽  
Typical Test

Our lawn mower is a self grass cutting vehicle running on solar energy which avoiding obstacles, increases the capability of complete mechanized grass cutting devoid of any necessity of any human intervention. Our structure requires a couple of 12V batteries to influence up the motors of the blades and for the movement. Lawn mowing is regarded as one of the most boring or tiring everyday jobs. It is also very reliable private robotic applications. The principle of this paper is to study and re-define the art in robotic lawn mowers to highlight the needs and capabilities of today's devices. A brief survey of available products, some patents and typical test bed prototypes are also provided. Some enabling techniques that make the vehicles more efficient are also suggested. We have utilized a solar board i.e. solar panel to charge the batteries the lawn mower and robot motors are interfaced to an Arduino Uno which governs the implementation of each motor. It is additionally used to interface an ultrasonic sensor for obstacle recognition and IR sensors for stopping the vehicle. The importance of this research lies in the presentation of an overview of a potential big market for personal vehicles.

scholarly journals IoT Based: Smart Traffic Light Controller

2020 ◽  
Author(s):  
Faisal Al Kalbani ◽  
Nada Al Bulushi ◽  
Syed Imran
Keyword(s):  
Internet Of Things ◽  
Traffic Density ◽  
Emergency Vehicle ◽  
Rfid Technology ◽  
Traffic Light ◽  
Ir Sensors ◽  
Arduino Uno ◽  
Smart Traffic

In this paper an improved smart light controller is created. The system is based on Internet of Things. The system is created by IoT components like Arduino UNO, RFID and IR sensors. The traffic density is measured by IR sensors. RFID technology is used for ambulance vehicles to give a green path. The system works automatically and interrupted only when an emergency vehicle sends an order to get a green path.

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