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This paper addresses the problem of the development, implementation and testing of a Lane Change Decision Aid System on a motorcycle, by using a short range radar sensor and a set of LEDs to interface with the driver. First, a feasibility analysis for such application is performed, then the algorithm is described, and finally the results of on-road tests are presented to illustrate and validate the method. The algorithm is composed by a first block for stabilizing the detected objects through a finite state machine and filtering the data coming from the sensor by implementing a Kalman filter that reduces the sensors inaccuracies. A decision block sets the state of the system by checking the position and speed of the detected objects, and finally an HMI block computes the Hazard Level considering position and Time-To-Collision of the detected objects and delivers a warning to the driver

This paper presents a model based approach for defining automotive functional safety requirements and provides a solution to ensure functional safety through model-based diagnosis and fault tolerant control. This model-based approach is consistent with ISO26262-functional safety standard. In particular, this paper presents the necessary steps for defining and implementing functional safety requirements, including item and function definition, hazard analysis and risk assessment, as well as the design of a model-based diagnostic and fault tolerant control (FTC) system that can lead to a systematic solution to automotive functional safety problems. The methodology proposed in this paper is applied to the problem of torque functional safety of pedal-by-wire systems.

Functional safety of hybrid electric and electric vehicles has attracted a great deal of attention among automobile industries worldwide. Torque security is one of the main hazards that should be considered for functional safety of electrified vehicles. Over the past decades, a significant number of accidents have been reported to be caused by unintended acceleration that results from torque security problems. This paper investigates the factors related to torque security problems in electric vehicles using the Failure Modes and Effect Analysis (FMEA) approach. The fault scenarios that can potentially result in loss of torque security in electrified vehicles are evaluated in a simulation study.