Extraordinary Passive Safety in Cars Using a Sensor Network Model

Context: The automobile industry has included active and passive safety. Active safety incorporates elements to avoid crashes and collisions. Some elements are ABS brakes and stabilization bars, among others. On the other hand, passive safety avoids or minimizes damage to the occupants in the event of an accident. Some passive safety features include seat belts and front and curtain airbags for the driver and other occupants. Method: In this research work, we propose a new category called Extraordinary Passive Safety (XPS). A model of a sensor network was designed to inspect the conditions inside the car to detect fire, smoke, gases, and extreme temperatures. The sensors send data to a device (DXPS) capable of receiving and storing the data. Results: Each sensor collects data and sends it to the DXPS every period. The sensor sends 0s while there is no risk, and 1s when it detects a risk. When the DXPS receives a 1, the pattern is evaluated, and the risk is identified. Since there are several sensors, the reading pattern is a set of 0s (000000). When a pattern with one or more 1s (000100, 010101) is received, the DXPS can send an alert or activate a device. Conclusions: The proposed solution could save the lives of children left in the car or people trapped when the car catches fire. As future work, it is intended to define the devices to avoid or minimize damage to the occupants such as oxygen supply, gas extraction, regulating the temperature, among others.

Designing a Vehicle Collison-Avoidance Safety System using Arduino

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. Keywords: Active Safety System, Arduino, Tinkercad, Vehicle Electronics System, Automotive Safety System, Collision Avoidance System, Self-Driving Car, Driverless Vehicle.

The Emergence Characteristics of Driver’s Intentions Influenced by Different Emotions

Drivers’ behavioral intentions can affect traffic safety, vehicle energy use, and gas emission. Drivers’ emotions play an important role in intention generation and decision making. Determining the emergence characteristics of driver intentions influenced by different emotions is essential for driver intention recognition. This study focuses on developing a driver’s intention emergence model with the involvement of driving emotion on two-lane urban roads. Driver emotions were generated using various ways, including visual stimuli (video and picture), material incentives, and spiritual rewards. Real and virtual driving experiments were conducted to collect the multi-source dynamic data of human–vehicle–environment. The driver intention emergence model was constructed based on an artificial neural network, to identify the influences of drivers’ emotions on intention, as well as the evolution characteristics of drivers’ intentions in different emotions. The results show that the proposed model can make accurate predictions on driver intention emergence. The findings of this study can be used to improve drivers’ behavior, in order to create more efficient and safe driving. It can also provide a theoretical foundation for the development of an active safety system for vehicles and an intelligent driving command system.

Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics

This paper investigates the theoretical Cram´er-Rao bounds on estimation accuracy of longitudinal vehicle dynamics parameters. This analysis is motivated by the value of parameter estimation in various applications, including chassis model validation and active safety. Relevant literature addresses this demand through algorithms capable of estimating chassis parameters for diverse conditions. While the implementation of such algorithms has been studied, the question of fundamental limits on their accuracy remains largely unexplored. We address this question by presenting two contributions. First, this paper presents theoretical findings which reveal the prevailing effects underpinning vehicle chassis parameter identifiability. We then validate these findings with data from on-road experiments. Our results demonstrate, among a variety of effects, the strong relevance of road grade variability in determining parameter identifiability from a drive cycle. These findings can motivate improved experimental designs in the future.

Research on Electric Vehicle Rollover Prevention System Based on Motor Speed Control

Vehicle driving safety is an important performance indicator for vehicles, and there is still much room for development in the active safety control of electric vehicles. A vehicle rollover is an important road traffic safety problem, as rollover accidents cause serious casualties and huge economic losses. It is very easy for vehicles in high-speed sharp turns or high-speed overtaking to roll over; in order to improve the vehicle in these conditions with the anti-rollover stability, this study proposed a real-time motor control strategy, mainly through the acquisition of vehicle attitude data and the use of multi-sensor fusion on the vehicle running state for real time. The lateral load transfer rate was used as the vehicle rollover evaluation index, and the test results indicate that when the real-time rollover index exceeds the set limit safety threshold, the motor speed is reduced through active control so that the vehicle avoids rollover accidents, or the risk of rollover is reduced. The STM32F103RET6 was used as the main chip for hardware design, control board fabrication, control program software design, and joint testing of software and hardware. The tests and data analysis prove that the motor control strategy is reliable in real time and can significantly improve the active safety of electric vehicles.

The choice of rational complex of active safety systems for smart cars

The problem of ensuring road safety affects all elements of the Driver-Car-Road-Environment system. Smart cars equipped with enough traffic assistants can significantly improve road safety. Active vehicle safety systems, including intelligent driver assistance systems and assistants, perform similar road safety functions. With all the variety of possibilities for equipping cars with systems complexes, the need arises to assess the feasibility and profitability of installing a particular complex of systems. For this, it is proposed to apply the methods of multi-criteria assessment. As a result of calculations, the best options for the sets of systems that most widely cover the road situation have been identified.

Analysis of results of investigation tests of the developed information and measuring active safety system of the vehicle

The research objective is the analysis of results of investigation tests of the information and measuring active safety system developed by FSUE “NAMI”. The practice of operation and performed studies show that modern foreign advanced driver assistance systems do not provide appropriate functioning under severe road and climate conditions of the Russian Federation creating unjustified risks and precluding from preventing a significant number of road accidents. This statement is applicable to driving on slippery surfaces, ice and snow, to the driving mode in traffic jams, in the absence of recognizable road marking, blinding of video cameras, insufficient visibility range and road lighting, etc. In order to ensure competitive ability and commercial attractiveness of the developed domestic information and measuring active safety system, within the scope of this work additional studies were performed regarding improvement of driver status monitoring functions with an expanded vector of the state of the controls and speed range, tire pressure monitoring with an expanded speed range and start-stop driving mode, dangerous obstacle approach warning and detection of deviation from the center of the lane with unrecognizable marking. In this paper, the results of investigation tests of improved functions are considered.