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Real-Time Railway Tracking and Arrival Time Prediction Project


Train travel forms the backbone of India’s transportation network. However, unforeseen delays and a lack of real-time information have often left passengers in a lurch. Our advanced Railway Tracking and Arrival Time Prediction system aims to remedy these issues, providing accurate, real-time train information to commuters.

How it Works: An Overview

The system employs a dual-component architecture. The admin module feeds information about trains and their timings into an internet server. This information is then fetched by systems installed at various stations. These station-specific systems automatically curate the information relevant to their location, displaying it for passengers to see. For example, if an admin at the Mumbai station updates details concerning Delhi, the Chennai station remains unaffected, while Delhi’s system updates accordingly.

The Importance of Accurate Train Prediction

Getting the train arrival time at a station right is crucial for efficient planning. Our system updates in real-time, allowing passengers to adjust their schedules based on the latest train arrival and departure time. If a train departs late from a station, the information is instantly updated across the network, minimizing inconvenience for travelers.

Ensuring Reliability: The Role of Station Masters

Each station is equipped with a login system for station masters. This allows for manual adjustments to train timings, ensuring the highest level of accuracy in train prediction. Whether it’s a delay due to a signal failure or any other reason, the system is designed to adapt and provide the most current information.

Advantages and Disadvantages


  • Real-time train tracking in India helps commuters stay informed about train delays.
  • Provides accurate train arrival time at the station.


  • Incorrect details entered by admins can lead to misinformation.
  • Network failures can disrupt the entire system.

Future Prospects

The system is only the beginning. Future updates could include features like a railway tracking app, railway timing clocks at more stations, and enhanced security measures to mitigate the disadvantages.

Sample Code

pip install Flask Flask-SocketIO‘ (Flask Backend)

from flask import Flask, render_template, request
from flask_socketio import SocketIO

app = Flask(__name__)
socketio = SocketIO(app)

# Dummy data for demonstration
train_data = {
    "train_1": {"arrival_time": "12:00", "status": "On Time"},
    "train_2": {"arrival_time": "13:30", "status": "Delayed"}

def index():
    return render_template('index.html', train_data=train_data)

def handle_update_train_data(train_info):
    train_id = train_info.get('train_id')
    new_time = train_info.get('new_time')
    new_status = train_info.get('new_status')
    if train_id in train_data:
        train_data[train_id]['arrival_time'] = new_time
        train_data[train_id]['status'] = new_status
        socketio.emit('update_frontend', train_data)

if __name__ == '__main__':, debug=True)

index.html‘ (HTML Frontend)

<!DOCTYPE html>
    <title>Railway Tracking System</title>
    <script src=""></script>
    <h1>Railway Tracking and Arrival Time</h1>
    <table border="1">
                <th>Train ID</th>
                <th>Arrival Time</th>
        <tbody id="trainTable">
            {% for train, details in train_data.items() %}
                <td>{{ train }}</td>
                <td>{{ details['arrival_time'] }}</td>
                <td>{{ details['status'] }}</td>
            {% endfor %}

        var socket = io.connect('http://' + document.domain + ':' + location.port);
        socket.on('update_frontend', function(train_data) {
            var tableContent = '';
            for (var train in train_data) {
                tableContent += '<tr><td>' + train + '</td><td>' + train_data[train]['arrival_time'] + '</td><td>' + train_data[train]['status'] + '</td></tr>';
            document.getElementById('trainTable').innerHTML = tableContent;
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