Accident Detection and Notification System.
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 7
Abstract
During the last few years the numbers of vehicles travelling in our roads have increased, increasing the driver’s attention requirements. The instant effect of this is the dramatic increase in the amount of accidents occurring on the road. reduce the number of road risks, vehicular networks will play an increasing role in the Intelligent Transportation Systems (ITS) area. Most ITS applications, such as road safety, feet management, and navigation, will rely on data exchanged between the vehicle and the roadside infrastructure (V2I), or even directly between vehicles (V2V). The integration of sensoring capabilities in vehicles along with peer to peer mobile communication among vehicles, significant in terms of safety. In order to maximize the benefits of using communication systems between vehicles, the infrastructure should be supported by a intelligent system capable of estimating the severity of accidents, and automatically notifying the actions required, thereby reducing the time needed to rescue injured passengers. Many of the manual decisions taken nowadays by emergency services are based on incomplete or inaccurate data, which may be replaced by automatic systems that adapt to the specific characteristics of each accident. A preliminary assessment of the severity of the accident will help emergency services to adapt the human and material resources to the conditions of the accident, with the consequent assistance quality improvement. In this paper, we take advantage of the use of vehicular networks to collect detailed information about road accidents that is then used to estimate the severity of the collision. We propose estimation based on data mining classification algorithms, trained using historical data about previous accidents. Our proposal does not focus on directly reducing the number of accidents, but on improving post- collision assistance.
Authors and Affiliations
Syed Khaleelfarhan*
GESTURE RECOGNITION BASED AC MOTOR SPEED CONTROL
For increasing/decreasing the ceiling fan speed or for switching the lights ON/OFF mostly we need to get up and move towards the switch board. But the ones who are physically impaired, it’s difficult for them to do so....
Brown Sea Bean (Mucuna Sloanei) Shell, an Effective Adsorbent for Cationic Dye Removal
Brown sea bean (mucuna sloanei) shell has been used as an alternative adsorbent for removing cationic dye from aqueous medium. The effects of pH, initial dye concentration, temperature, and contact time were inves...
MECHANICAL PRPOPERTIES OF SELF COMPACTING CONCRETE MADEWITH OPC53 S CEMENT
The use of self-compacting concrete (SSC) which is capable of flowing in farm work and congested reinforcementwithout any mechanical vibrator fill the concrete voids with its high paste content is highly durable an...
A Systematic Study of Segmentation Methods
This paper provides a Systematic study of segmentation methods for detection of kidney tumor using Computed Tomography images. There are large numbers of CT image segmentation algorithms are available, CT image s...
IMPLEMENTATION OF ENHANCED UNIFORM CIRCULAR LOCAL BINARY PATTERN ALGORITHM FOR SKETCH RECOGNITION
To determine the uniqueness of criminal, growth in biometric technology have provide law enforcement agency other tools but, several crimes take place where none of the information is present, but instead an eyewitness...