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Essay / V2v and V2i Communication for Road Accident Prevention
Table of ContentsIntroductionWorkBenefitsAlgorithmLiterature SurveyFuture ScopeThe number of accidents in India is the highest in the world. The actual number of accidents may be higher than documented. One person dies every 4 minutes. In India, road safety has now become a serious problem, like everywhere in the world. In some places, accidents occur like level crossings, deviations on highways, sharp turns. Accidents on highways can be avoided by informing the driver of the infrastructure before arriving. This is a project with innovative ideas for safety on roads and highways. An Internet of Things (IOT) with sensors is used to transmit all the data collected by the sensors communicate via a wireless protocol. In this project, we present an electronic system based on embedded and Internet of Things (IoT). Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayIntroductionThe presence of devices in an automobile that connect the device to another device in the vehicle or to networks and services of devices outside the car, including another car, home, office or infrastructure. Connected vehicle safety applications are designed to increase situational awareness in the event of a crash through vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. This project has an idea of accident prevention. In this project, all this communication is done with IOT (Internet of Things). IOT technology can be used to provide communication and interaction between vehicles and infrastructure along the road. By connecting vehicles and road infrastructure to the Internet, real-time communication, monitoring, control and notifications (early warning system) can be achieved. Due to road accidents, many people lose their lives around the world every year, and many more people have been killed. injure and mutilate. The main reason for these accidents is a limitation in the face of road emergency events which may be due to distances, darkness and the presence of an obstacle on the road. Road and road safety can be improved if drivers have the ability to hear further off the road and know if a collision has occurred. This can become possible if drivers and vehicles communicate with each other. If infrastructure information was provided to drivers, the road would be safer and travel on them would become more efficient. We offer the V2V and V2I communication link to prevent road accidents. There are some problems regarding the current system, so we are developing this iterative system to prevent road accidents. Here, communication is established between vehicle to vehicle and vehicle to infrastructure so that the driver can drive more easily. Radio frequency is used for vehicle-to-vehicle and vehicle-to-infrastructure communication. We use IOT sensors such as ultrasonic, proximity and DHT11 to detect the data and some data is sent to the cloud. This project has an idea of accident prevention. In this project, all this communication is done with IOT (Internet of Things). IOT technology can be used to provide communication and interaction between vehicles and infrastructure along the road. By connecting vehicles and road infrastructure to the Internet, real-time communication, monitoring,monitoring and notifications (early warning system) can be carried out. The purpose of this system is to assess the readiness for the application of vehicle-to-vehicle (V2V) communications. , a system designed to transmit basic safety information between vehicles to facilitate warnings to drivers about impending accidents. WorkIn our project, we establish a communication link between vehicle-to-vehicle and vehicle-to-infrastructure. For this model of receiver placed in the vehicle, we send an audio notification to the driver. To communicate between vehicle to vehicle and vehicle to infrastructure, we used RF433 MHZ. Each vehicle has a short-range RF receiver through which it will interact with the nearby RF transmitter. In our project we are using the following sensor: Ultrasonic sensor: Ultrasonic sensors measure distance using ultrasonic waves. The sensor head emits an ultrasonic wave and receives the wave reflected from the target. Ultrasonic sensors measure the distance to the target by measuring the time between transmission and reception. We use an ultrasonic sensor in our project to measure the distance between the front vehicle and a rare vehicle during night and foggy areas. Proximity sensor: A proximity sensor is a sensor capable of detecting the presence of nearby objects without any physical contact. In order to detect objects, the proximity sensor radiates or emits a beam of electromagnetic radiation, usually in the form of infrared light, and detects the reflection to determine the proximity or distance of the object from the sensor. We use proximity sensor to detect nearby vehicle and sharp turns. DHT11: The DHT11 is a basic temperature and humidity sensor. It uses a capacitive humidity sensor and thermistor to measure ambient air and spits out a digital signal onto the data pin. We use this sensor to measure fog in winter.BenefitsReduce accidents.Extended driving visions.Reduces loss of life and property.To reduce travel time.With this technology, people's driving will be safer, more comfortable and easier. AlgorithmStep 1: User starts their journey, vehicle approaches a sharp turn, user receives an audio notification that a sharp turn is ahead. Step 2: Vehicle approaches the bridge, then 200 meters before the user receives a notification, the bridge is ahead, slow down. Step 3: Then the traffic light comes, 200 meters before the user gets a notification about it. Step 4: Then the vehicle comes to the fog zone, then the user gets a notification about the vehicle at proximity.Step 5: Then no horn zone is detected on the road. The user receives a notification about it.Step 6: At night, the user receives notification about an obstacle that is on the road.Literature SurveySwati B. Raut developed a VANET for reducing vehicle collisions and vehicle control traffic jams at road intersections, effective vehicle monitoring requires time for smooth traffic flow. It uses the Intelligent Control Unit (ICU) and vehicle-to-vehicle communication to predict the likelihood of collision at a highway intersection. The system is implemented on an open road map, on a place of interest and uses a warning system based on collision probabilities. The simulation results show the collision probability for near-crash, no-crash, and crash. In VANET, problems are analyzed. Analysis of existing VANET protocols hasdemonstrated that most of them cause performance bottlenecks under high traffic conditions. The main problem with these protocols is the large packet size, which leads to increased encryption and communication costs. The above situation motivated this research to seek a reliable solution to support V2I and V2V communications, while reducing the above-mentioned overheads which are not properly addressed by other studies. The main concern of this research is to propose an efficient protocol that can satisfy the scalability requirements and reduce message loss. GOH CHIA CHIEH offers a new vehicle-to-vehicle (V2V) communication system for collision avoidance that merges four different wireless devices (GPS, Wi-Fi, Zigbee and 3G) with an integrated low-power single board computer (SBC) to to increase processing speed while maintaining low cost. Collision avoidance data processing includes data processing for vehicles on expressways, roads, tunnels, traffic jams and indoor V2V communication as required in parking lots. Wi-Fi based system: In Wi-Fi based system, there are user limits in case of high traffic. terms. The Wi-Fi hotspot only communicates with 10 users at a time. In a Wi-Fi based system at the beginning the moment the user has to manually connect to the access point for communication. In case of heavy traffic, there is a risk of delay in notification and network collapse. Country Survey: A serious road accident in the country occurs every minute and 16 deaths occur on Indian roads every hour. 1,214 road accidents occur every day in India. Two-wheelers represent 25% of total road accident deaths. 20 children under the age of 14 die every day due to road accidents in the country. 377 people die every day, which is the equivalent of one jumbo jet crashing every day. Maharashtra Survey: Every day, on an average, as many as 115 road accidents take place in Maharashtra and 37 people die in these accidents, reveals the annual crime report released. by the Criminal Investigation Department. Pune experiences an average of four accidents per day and three deaths every 48 hours, the report said. The maximum number of road accidents, 3,123, took place in Aurangabad in 2017, followed by Mumbai (2,551) and Navi Mumbai (2,223). Mumbai topped the list of road accident deaths, with 611, followed by Pune, which recorded 543 deaths. In 2017, Maharashtra witnessed 42,250 accidents, in which 13,685 people died and 39,301 were injured. In 2016, the state recorded 44,382 road accidents, in which 13,529 people were killed and 43,668 injured. While the number of accidents decreased by 4.8%, the number of accident-related deaths increased by 1.15%. According to the World Health Organization (WHO), road accidents cause approximately 1.2 million deaths worldwide each year. Additionally, around 50 million people are injured in road accidents. In Western Europe, a reduction of just 5 km/h in average vehicle speed could result in a 25% reduction in the number of deaths. The National Highway Traffic Safety Administration helps reduce the number of deaths, injuries, and economic losses resulting from motor vehicle crashes by establishing and enforcing safety performance standards. for motor vehicles and automotive equipment. Automakers meet NHTSA standards by building.