Introducing Autonomous Car Methodology in WSN

International journal of engineering research and technology, 2020

Road safety is a concern of everyone in the current scenario of increased vehicular traffic. Internet is part of our daily life and available in most of the places because of revolution of electronic communication. It has become an integral part of our lives. We are living in a world of automation. Almost everything around, us is automated. Automation plays an important role in the field of transportation. As of now, vehicles are just monitored but not automatically controlled pertaining to the road safety rules. In this work a system is designed for automatic control of vehicles in restricted areas, where the safety signage boards are installed. The four applications namely speed control, hump detection, no parking and no horn zone are implemented using IoT.

Proceedings of the 2021 ACM Southeast Conference, 2021

Integrating emerging technologies into current systems is critical to enhance the human quality of life. In the field of transportation, the automobile is the predominant locomotion method used by people. Even though new vehicular safety systems have been integrated into vehicles, road accidents are still one of the major reasons for death worldwide. In general, Vulnerable Road Users (VRUs) that share roads with vehicles have second priority in safety systems for the Intelligent Transportation System, since they are mostly focused on avoiding collision between vehicles. However, VRUs do represent a very significant percent of the victims of road accidents. In this paper, we propose a solution where the integration of current and future technologies to the vehicular safety system is a key factor, so that roads will be a better place for all the actors (people, animals, and vehicles) that transit on them. In order to protect VRUs and animals on or nearby the roads, a collision-avoidance system with two levels is proposed. The idea is to have a flexible solution that will integrate any current technology and new technologies as they appear. Warning information will be delivered in real-time about people, other living beings, vehicles, and obstacles when a possible collision is detected. On the lower level, on-board computers can address imminent threats thanks to the access to lightweight quality information consisting of data samples shared by vehicles, persons, and animals that join the common platform. In the upper level, additional support based on pre-processed information coming as a service from the Cloud will also assist any decision. With all this information, a vehicle will be in the capacity of taking instant safety decisions, in real-time, and without overloading its local computational resources.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2021

The future of automotive relies on the mechatronic and electronic systems. The worldwide growth of automotive towards electronic systems suggests that driverless cars would soon be the common commuters. With such improvements safety of the passengers becomes first priority for the manufacturers. Nowadays automobiles come with high end technologies and quick responsive electronic systems. In addition to the passive safety systems, active safety systems definitely avoid collision thereby reducing the chances of injury and death. This project shows the working of an active safety system that is collision avoidance system. To create the model, TINKERCAD software has been used and a detailed working is explained. As a result, the system detects traffic and can alert the driver and stop the vehicle before meeting the collision.

IRJET, 2022

Nowadays, self car is an lively studies area, mainly after the emergence of gadget imaginative and prescient responsibilities with deep studying Using one of these visible navigation gadget for self reliant car, the photographs captured through controller and facts anticipated in order that the self reliant car may want to competently navigate. The goal of the proposed paintings is to enforce the to be had method to locate the item and item distance for a self reliant car that taken motion in keeping with item distance with the assist of raspberry pi3 board. The gadget additionally makes use of ultrasonic sensor for item detection for the cause of pace manipulate of car to keep away from collision with in advance car. Rpi digital digicam module is used for type of item. The proposed gadget gets the picture of the actual from the digital digicam after which overlaying and contour strategies are used to locate the item. So vehicle could capable of take motion and lowers the probabilities of human careless movements like driving force errors which can results in accidents.

ICST Transactions on Scalable Information Systems, 2017

Transportation is basic service required by all citizens. Long route transportation is norm today for transporting goods and persons. Road transport has remained one of the important means of transportation. Increase in population and motorization in the country along with expansion of road network contributes to the number of road accidents, injuries and mortalities, as well as loss of productivity. Safety of the passengers, drivers and property is very important issue when we talk about long route travelling. There are many issues that endanger the safety of people and vehicle during long route transportation. Some of them are driver's negligence while driving, overtaking by the vehicles, over speeding of vehicles on the highways, health and mental state of the driver while driving, mechanical issues of the vehicle, sudden arrival of animals on highways, unfamiliar road conditions, negotiating with difficult winding roads, road traffic, overloading of the vehicles and many more. To ensure safety of vehicle and people it is very important to be more cautious and take proper safety measures while driving for long routes. In this research paper we have proposed wireless sensor network based architecture that monitors various parameters that needs to be considered effectively for avoidance of accidents on long routes.

IRJET, 2021

The term Autonomous (driverless) Vehicle refers to the ability of a vehicle to operate and navigate without the assistance of human beings. The purpose of this paper is to vehicle out a review and find the issues and the possible solutions regarding the implementation of Autonomous vehicles on India roads. The autonomous vehicles are our future, once implemented this can revolutionize our traffic management and transport system. This paper addresses some of the hurdles the technology might face in the country and offers a few measures that can be taken to overcome the downsides Also this paper reviews the methods of obstacle detection for autonomous vehicles and proposes the better approach in Indian perspective. The environment of India is different from rest of the world where automated vehicles are being implemented. The multi-sensor-based obstacle detection methods coupled with range finder and vision algorithms provides good for obstacle detection, velocity estimation of dynamic obstacles and estimation of rich semantics of obstacles. These are some of the factors for making an autonomous system to make intelligent decisions for planning and navigation. The aim of this paper provides a comprehensive overview and proposes a way forward as regards to the implementation of autonomous vehicles in Indian context.

Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

Autonomous vehicle safety has received much attention in recent years. Autonomous vehicles will improve road safety by eliminating human errors. However, not all automotive collisions can be avoided. A strategy needs to be developed in the event when an autonomous vehicle encounters an unavoidable collision. Furthermore, the vehicle will need to take responsibility for the safety of its occupants, as well as any other individuals, who may be affected by the vehicle's behaviour. This paper proposes a control system to assist an autonomous vehicle to make a decision to reduce the risks to occupants potentially involved in highway motorway collisions. Before any decision can be made, the potential collisions need to be assessed for their effects. A quick and numerical method for evaluation of impact of potential collisions was developed. Assessing the Kinetic Energy of the vehicles before and after collisions is proposed as a method to assess the severity of collisions. A simulation model developed calculates the kinetic energy values and recommends an autonomous vehicle the motorway lane to drive into to cause the least severe collision impact. Different scenarios are defined and used to test the simulation model. The results obtained are promising and in line with the decision made by the subject expert.

InVeTraS (Intelligent Vehicular Transportation System) is proposed as a Vehicle-to-Vehicle (V2V) anti-collision mechanism that determines estimates and absolves collision courses between two or more vehicles based on a correlative and cooperative wireless networking concept. The problem of collision avoidance is abstracted to the generic problem of location awareness and subsequent periodic information exchange (between vehicles). To enable location awareness, the mechanism uses one of two techniques: a Global Positioning System (GPS) receiver aided with dead-reckoning sensors or a RADAR based measurement system. Two nearby vehicles periodically exchange information about their own movement in terms of exact position and local clock time. Using these inputs, vehicles determine whether or not they are on a collision course with each another. A Communication Cluster (based on the concept of mobile ad-hoc peer-to-peer networking) is formed, that facilitates the development of a vehicular network characterized by self organization, fault-tolerance, scalability, cooperation and cost efficiency. These characteristics enable avoidance of collision between vehicles in an adaptive and dynamic set up. The paper proposed InVeTraS concept by emulating the streets of Manhattan.

IEEE/CAA Journal of Automatica Sinica, 2020

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm, which provides intelligent vehicles with a global path towards their destinations. A distributed real-time multiple vehicle collision avoidance (MVCA) algorithm is proposed by extending the reciprocal n-body collision avoidance method. MVCA enables the intelligent vehicles to choose their destinations and control inputs independently, without needing to negotiate with each other or with the coordinator. Compared to the centralized trajectory-planning algorithm, MVCA reduces computation costs and greatly improves the robustness of the system. Because the destination of each intelligent vehicle can be regarded as private, which can be protected by MVCA, at the same time MVCA can provide a real-time trajectory planning for intelligent vehicles. Therefore, MVCA can better improve the safety of intelligent vehicles. The simulation was conducted in MATLAB, including crossroads scene simulation and circular exchange position simulation. The results show that MVCA behaves safely and reliably. The effects of latency and packet loss on MVCA are also statistically investigated through theoretically formulating broadcasting process based on one-dimensional Markov chain. The results uncover that the tolerant delay should not exceed the half of deciding cycle of trajectory planning, and shortening the sending interval could alleviate the negative effects caused by the packet loss to an extent. The cases of short delay (<100 ms) and low packet loss (<5%) can bring little influence to those trajectory planning algorithms that only depend on V2V to sense the context, but the unpredictable collision may occur if the delay and packet loss are further worsened. The MVCA was also tested by a real intelligent vehicle, the test results prove the operability of MVCA.

International Journal of Engineering & Technology

Driver’s response is indispensable in the aversion of collisions and in stringent circumstances. WiB-IVS (Wireless Broadcast Intelligent Vehicular System) is a proposed design for Intelligent Vehicular Systems enabling Vehicle to Infrastructure (V2I) communication for effectuating an interconnected network of vehicles for easier and faster information sharing in order to prevent collisions. The system centralizes on driver’s response and thus aims to bring extrinsic information to the driver, stimulating situational awareness. An indication system fulfils this purpose and helps the driver respond to the scenario ahead. Information transmission is facilitated by communication between vehicle and broadcasting station based on User Datagram Protocol (UDP). The design approach caters to the problems of the collision at sharp or blind turns, offsite intersections and those occurring due to low visibility in extreme weather conditions such as fog. A pilot model design to test for the effe...