Anti Collision And Distance Estimation System During FOGGY Condition s

There is a growing interest in developing and deploying advanced driving assistance systems. In order to reduce the number of accidents, vehicles are equipped with advanced active safety systems. An important aspect for avoiding accidents and reducing the risk of accident is the ability of advanced

Project Title

Anti Collision And Distance Estimation System During FOGGY Condition s

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

There is a growing interest in developing and deploying advanced driving assistance systems. In order to reduce the number of accidents, vehicles are equipped with advanced active safety systems. An important aspect for avoiding accidents and reducing the risk of accident is the ability of advanced driving assistance systems to anticipate risks while the care is moving and to inform the driver of the hazardous situations. For distracted drivers 80% of the accidents happen due to 3 seconds of inattention. In spite of improvements in road infrastructure, the numbers of accidents caused primarily by adverse weather conditions are higher every year. Fog is the most dangerous weather phenomenon for driving, since in this case the visibility distance decreases exponentially. Whereas highways account for only 2.8% of all road accidents occurring under good weather conditions, this figure doubles in fog. When the weather is “plagued” with fog, drivers tend to overestimate the visibility distances and drive with excessive speed. One of the most dangerous weather conditions for driving scenarios is the presence of fog. So, an important task for a driving assistance system is to determine the visibility distance of the driver during fog and to communicate with the drivers following the car to take necessary measures avoiding accidents. Most advanced driving assistance systems proposed in the literature are dependent on expensive hardware, which is usually difficult to deploy on older vehicles. The system algorithm we proposed is implemented on a regular computer and can be deployed on a modern smartphone or tablet, making it inexpensive and easy to use by any drivers.

Project Objectives

The objectives of the project are stated below:

1. To minimize the number of accidents in fog area.
2. To measure the distance between two vehicle that will help vehicle safety as well.
3. To make a real time system that can warn potential drivers for an impending collision.
4. To launch a new product in the market and build a business model for upcoming generation to do research and enhance the product for better future.

Project Implementation Method

In this system first of all signal is sent from a car to pole and that pole sends signal to vehicle 2 which determines the distance between them. This system helps to determine the distance between the two cars. There is LCD on cars which will show the distance between the 2 cars. We will make microcontroller-based system. We will install another system on four sides of the car. We will use SONAR sensors which will transmit signal and come back after collision with another car. On LCD shows warning and distance of all four sides. When distance is less it will show warning inside the car. LCD used for warning and distance display. Buzzer will produce warning sound. Microcontroller will sense the signal from SONAR and give beep sound and warning on LCD. Sound increases when object comes closer.

This system can be used individually by the users; the problem arises that individual is protected himself/herself from collision during fog but one’s will not be being protected by the other drivers because they will also face low visibility issues.

So, in order to overcome this defect below side-systems are introduced.

On the other hand, the system will serially communicate with the towers and the cars behind it which gives information about the distances from the forehead car and also display warning messages if forehead car had experienced any accident or problem in traffic environment which helps to take necessary measures to counter that condition.

Benefits of the Project

Problem Statements

Fog causes accommodation error, resulting in blurred vision for more distant objects. This is caused by the "Mandelbaum Effect," the tendency of the eye to approach "resting" accommodation under conditions of poor visibility.

Particulate matter pollution is the major cause of reduced visibility (haze) in parts of upper Punjab.

Benefits:

The goal is to provide the driver with the necessary information about the fog’s density and the maximum visibility distance on the given road segment.

It can be installed on each side cars to make it easy to travel in foggy areas. By using this product, we can prevent accidents. It can be easily sold in market because it is an innovative product.

The results are very good on roads that are not very crowded.

Since our method performs in real time, we will focus in the future on the deployment of our algorithm on intelligent mobile devices that run on the Android operating system, thus obtaining a cheap solution for advanced driving assistance.

Technical Details of Final Deliverable

Our system is based on three systems as discussed in implementation method:

• Vehicle system (inputs from sensor)
• Pole system
• Vehicle system

The following conceptual block diagram explains the methodology of the project.

• Signal through sensor:

Block Diagram of Signal through Sensor

• Vehicle system

            Block Diagram of Vehicle System

• Pole system:

            Block Diagram of Pole System

We had used ultrasonic sensors for distance measurements, LEDs, buzzers communicated through Arduino Nano and results being displayed on the LCD screen and also use RF module (HC11) to communicate between car to pole and then pole to car.

Front Car System

Hardware Design of Front Car System

Final Deliverable of the Project

Hardware System

Core Industry

Transportation

Other Industries

Core Technology

Wearables and Implantables

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com