Reliability prediction for the vehicles equipped with advanced driver assistance systems (ADAS) and passive safety systems (PSS)

Abstract

The human error has been reported as a major root cause in road accidents in today's world. The human as a driver in road vehicles composed of human, mechanical and electrical components is constantly exposed to changing surroundings (e.g., road conditions, environment)which deteriorate the driver's capacities leading to a potential accident. The auto industries and transportation authorities have realized that similar to other complex and safety sensitive transportation systems, the road vehicles need to rely on both advanced technologies (i.e., Advanced Driver Assistance Systems (ADAS)) and Passive Safety Systems (PSS) (e.g.,, seatbelts, airbags) in order to mitigate the risk of accidents and casualties. In this study, the advantages and disadvantages of ADAS as active safety systems as well as passive safety systems in road vehicles have been discussed. Also, this study proposes models that analyze the interactions between human as a driver and ADAS Warning and Crash Avoidance Systems and PSS in the design of vehicles. Thereafter, the mathematical models have been developed to make reliability prediction at any given time on the road transportation for vehicles equipped with ADAS and PSS. Finally, the implications of this study in the improvement of vehicle designs and prevention of casualties are discussed.

Sensitivity analysis for casting process under stochastic modelling

“…To decrease the drying shrinkage, the freeze-drying technique was applied to treat the wet ceramic casting mold green body surrounded by stereo lithography mold and the proper sintering process parameters was determined for lowering the sintered shrinkage. Hojjati-Emami et al (2012) proposed a model that analyses the interaction between human and advanced driver assistance system (ADAS) for reducing human error in road accidents. Soltani (2014) discussed about reliability optimization including redundancy allocation, reliability allocation and reliability redundancy allocation.…”

A New Nonlinear Multi-objective Redundancy Allocation Model with the Choice of Redundancy Strategy Solved by the Compromise Programming Approach

“…Constraint set (7) declares that for cold standby strategy the number of components can only be a value between 2 and nmax. Constraint set (8) calculates the number of components in subsystems with cold standby strategy. This constraint is equivalent to constraint…”

“…But, for the purpose of calculating the upper limit of the summation in the standby term of the objective function, constraint set (8) is considered in the model. Constraint set (9) indicates that for each subsystem, variable is one, and it is zero otherwise.…”

“…Examples of non-repairable cold standby redundancy in spacecrafts can be found in [4,5]. Many other systems use cold standby redundancy as an effective strategy to achieve high reliability including textile manufacturing systems [6], carbon recovery systems used in fertilizer plants [7] and active and passive safety systems in road vehicles [8], just to name a few. As an example for active strategy we can mention the serial parallel water desalination system which consists of filters, pumps, reverse osmosis membranes and power commutation equipment blocks in series for each of which there is an option to add redundancy in the form of parallel components.…”

An Ontological Approach to Inform HMI Designs for Minimising Driver Distractions with ADAS

“…Advanced Driver Assistance Systems (ADAS) are in-vehicle systems designed to reduce and even eliminate driver errors, enhance driving safety and efficiency as well as comfort in the driving process. There are various types of ADAS, ranging from automated systems that take control of the vehicle (e.g., Anti-lock Braking Systems) to those providing real-time advice, instructions, and warnings to alert drivers to potential problems (e.g., Blind Spot Information Systems) (Hojjati-Emami et al, 2012). There are also adaptive ADAS that can provide drivers with information initially and also assist them with automated actions eventually (e.g., Automatic Brake Control).…”