Sensor based identification system for train collision avoidance

Dhanabalu, T.; Sugumar, S.; Suryaprakash, S.; VijayAnand, A.

doi:10.1109/iciiecs.2015.7192995

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…In literatures [7], [12]- [23], [27]- [34], starting from airtraffic to road, marine, and railway traffic, a variety of approaches for collision avoidance of vehicles in a complex environment have been proposed. The recent improvement in such approaches has provided efficient algorithms that easily handle hundreds of vehicles, but cannot yet deal with independent and autonomous agents of complex, realistic planning.…”

Section: State-of-the-artmentioning

confidence: 99%

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Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

Dalapati

Padhy

Mishra

et al. 2017

Transportation Letters

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Advancement in intelligent transportation systems with complex operations requires autonomous planning and management to avoid collisions in day-to-day traffic. As failure and/or inadequacy in traffic safety system are life-critical, such collisions must be detected and resolved in an efficient way to manage continuously rising traffic. In this paper, we address different types of collision scenarios along with their early detection and resolution techniques in a complex railway system. In order to handle collisions dynamically in distributed manner, a novel agent based solution approach is proposed using the idea of max-sum algorithm, where each agent (train agent, station agent, and junction agent) communicates and cooperates with others to generate a good feasible solution that keeps the system in a safe state, i.e., collision free. We implement the proposed mechanism in Java Agent DEvelopment Framework (JADE). The results are evaluated with exhaustive experiments and compared with different existing collision handling methods to show the efficiency of our proposed approach.

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Section: State-of-the-artmentioning

confidence: 99%

“…Though each train can choose its headway dynamically, but in case of emergency, centralized train control system intervene to give alerts to trains. Some more recent work are discussed in [32]- [34] for train collision avoidance.…”

Section: State-of-the-artmentioning

confidence: 99%

Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

Dalapati

Padhy

Mishra

et al. 2017

Transportation Letters

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“…But nowadays, it is not that much safer as the lot of accidents occur due to improper communication between the network, wrong signaling, worst weather condition or immediate route change. The proper information doesn't get to the train driver on time and before time, so the probability of accidents occur is high [3]. Due to increase in the used of the electric trains in the world and the high speed with the low fares more people prefer to use train but with many risks in the train accidents.…”

Section: Introductionmentioning

confidence: 99%

Implementation of anti-collision train prototype based on arduino microcontroller

Ibrahim

Abood

2020

IJAAS

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<p><span>Because the electrical train become a popular mode and Eco-Friendly of transport in largest cities in the world in our day life and due to increase in the train accidents. In this paper a train collision avoidance system is designed and implemented using Arduino NANO and an ultrasonic sensor. A prototype is used to explain the system function using; two train samples on single track. The ultrasonic sensor is connected to the Arduino NANO to transmit the measured distance to the microcontroller and make the decision to stop the train. The ultrasonic sensor on both trains from the front end and continually measures the distance between them and when they reach the decided distance a signal to the trains engines will slow down or stop both trains to avoid a collision while when the ultrasonic sensors from the rear-end continually measure the distance between them and when it reaches the decided distance a signal to the train engine will slow down and stop the first train to avoid a collision.</span></p>

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“…Today electronics had gained much more importance due to its variety of applications in various industries. These electronic devices mostly perform functions like control, amplification and rectification [1,2]. In the last few years electronics have witnessed a great revolution in the industry than any other technology in invention.…”

Section: Introductionmentioning

confidence: 99%

A VLSI implementation of train collision avoidance system using Verilog HDL

Noorbasha¹,

Kishore²,

Sarad³

et al. 2018

IJET

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Now a days we see many train accidents that occur in railways. These accidents occur mainly due to cracks in the track, human errors and not identifying the opposite train at the right time. When the train meets with the accident lot of people lose their lives and huge amount of railway property is destroyed and it also takes lot of time to hold back to the normal situations. Most of the accidents happen due to human error and due to lack of communication between the trains and irregularity of Train Traffic Control System. Normally to prevent these accidents we place sensors on either side of the platform to identify the train at right time and to receive traffic signals at the platform properly. Here we came with some different approach which is easy to manage and implement and cost effective. Normally collision occurs when two trains approaching in opposite directions on same track. So, if we manage to prevent two trains travel on the same track then collision can be avoided. Here in this project we have implemented Verilog code to solve this problem. The purpose of this project is to write a Verilog code to detect the opposite train and deviate the train based on priority of the trains thus avoiding collision. In this project we have chosen four different types of trains namely Goods, Passenger, Superfast, Express and we have implemented train collision avoidance using Verilog code by giving priority to each type of train and preference is given to one train to avoid collision.

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Sensor based identification system for train collision avoidance

Cited by 8 publications

References 1 publication

Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

Real-time collision handling in railway transport network: an agent-based modeling and simulation approach

Implementation of anti-collision train prototype based on arduino microcontroller

A VLSI implementation of train collision avoidance system using Verilog HDL

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