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Ford Motor Company has established within its global Ford Product Development System (FPDS), a vehicle product system which strives to maximize recyclability and recoverability while minimizing the total environmental impact of vehicles. One aspect of how the automotive industry can move towards sustainability is to include sustainable materials like recycled and natural materials in its products as well as in its manufacturing process. Additional examples of using materials imparting low life cycle impact exist in both in the US and Europe. By introducing sustainable materials in mass production, huge figures for reducing environmental burdens result, for example, worldwide 140 million pounds of recycled non-metalic materials have been used just for Ford vehicles alone.

Mcity at the University of Michigan in Ann Arbor provides a realistic off-roadway environment in which to test vehicles and drivers in complex traffic situations. It is intended for testing of various levels of vehicle automation, from advanced driver assistance systems (ADAS) to fully self-driving vehicles. In a recent human factors study of interfaces for teen drivers, we performed parallel experiments in a driving simulator and Mcity. We implemented driving scenarios of moderate complexity (e.g., passing a vehicle parked on the right side of the road just before a pedestrian crosswalk, with the parked vehicle partially blocking the view of the crosswalk) in both the simulator and at Mcity.

A descriptive analysis of the Vehicle End-of-Life (VEOL) process in the U.S. is presented. The material recovery process and the reuse of parts are discussed. A computer VEOL model will be presented which would ultimately be used to analyze the impact of specific regulations, markets factors, and/or business policies, on the recyclability of materials and the reuse of parts. The computer model includes several stages of the VEOL process, including vehicle sales, usage, and retirement; also the dismantling of the retired vehicle, shredding operations, parts and vehicle rebuilders, maintenance and repair. An example of the use of the VEOL computer model on material substitution is presented.

Motion sickness in road vehicles may become an increasingly important problem as automation transforms drivers into passengers. Motion sickness could be mitigated through control of the vehicle motion dynamics, design of the interior environment, and other interventions. However, a lack of a definitive etiology of motion sickness challenges the design of automated vehicles (AVs) to address motion sickness susceptibility effectively. Few motion sickness studies have been conducted in naturalistic road-vehicle environments; instead, most research has been performed in driving simulators or on motion platforms that produce prescribed motion profiles. To address this gap, a vehicle-based experimental platform using a midsize sedan was developed to quantify motion sickness in road vehicles. A scripted, continuous drive consisting of a series of frequent 90-degree turns, braking, and lane changes were conducted on a closed track.

There is a strong evidence that the overrepresentation of teen drivers in motor vehicle crashes is mainly due to their poor hazard perception skills, i.e., they are unskilled at appropriately detecting and responding to roadway hazards. This study evaluates two cuing systems designed to help teens better understand their driving environment. Both systems use directional color-coding to represent different levels of proximity between one’s vehicle and outside agents. The first system provides an overview of the location of adjacent objects in a head-up display in front of the driver and relies on drivers’ focal vision (focal cuing system). The second system presents similar information, but in the drivers’ peripheral vision, by using ambient lights (peripheral cuing system). Both systems were retrofitted into a test vehicle (2014 Toyota Camry). A within-subject experiment was conducted at the University of Michigan Mcity test-track facility.