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This document specifies how application to application navigation is managed on tablet EFB devices. Topics include: inter-application navigation for users, blending of multiple applications into a single workflow, single data entry with data shared across applications.

The purpose of this document is to evaluate Communication, Navigation, and Surveillance (CNS) Distributed Radio architectures and the feasibility of distributing the RF and systems processing sections to ensure the following: Reduce cost of equipment Reduce Size, Weight, and Power (SWaP) Ease of aircraft integration Growth capability built into the design Maintain or improve system availability, reliability, and maintainability It provides a framework to determine whether it is feasible to develop ARINC Standards that support CNS distributed radio architectures.

A new index for evaluating load path dispersion is proposed, using a structural load path analysis method based on the concept of U* , which expresses the connection strength between a load point and an arbitrary point within the structure enables the evaluation of the load path dispersion within the structure by statistical means such as histograms and standard deviations. Presenter Tadashi Naito, Honda R&D Co., Ltd.

Main topics are the development and the build-up of an 18ton hybrid truck with a parallel hybrid drivetrain. With this truck it is possible to drive up to 3 kilometers in the pure electric driving mode. Presenter Andreas Eglseer, Engineering Center Steyr GmbH & Co. KG

The automotive industry continues to develop new powertrain technologies aimed at reducing overall vehicle level fuel consumption. This paper discusses the development of a new highly efficient parallel hybrid transmission for use in transversely installed powertrains for FWD applications. FEV is developing a new 7-speed hybrid transmission for transverse installation. The transmission with a design torque of 320 Nm is based on AMT (automated manual transmission) technology and uses a single electric motor. The innovative gearset layout combines the advantages of modern AMTs such as best efficiency, low costs and few components (reduced part count) with full hybrid capabilities and electric torque support during all gear shifts. Furthermore, the gear set layout allows for very short shift-times due to the favorable distribution of inertias. Other features include an A/C compressor being electrically driven by the electric motor of the transmission during engine start/stop phases.

Use of airborne high resolution digital sensor imagery is ever increasing. Color HDTV, infrared cameras and radar are examples of such sensors. And they are becoming increasingly used for mission purposes by the military, police, customs and coast guard onboard helicopters and fixed wing aircraft. These users have requirements for onboard presentation, analysis and storage. Use of weather radars and other similar types of sensors are flight oriented applications in major types of aircraft. Another application is the integration of cockpit and cabin surveillance systems onboard commercial airlines. Cabin surveillance systems, growing from cockpit door cameras to complete cabin surveillance, will use several cameras. The purpose is to acquire and store imagery from un-normal events including unruly passengers and eventual terrorists. The primary intentions are security awareness in the cockpit as well as collecting evidence for a potential prosecution.

“Spotlight on Design: Insight” features an in-depth look at the latest technology breakthroughs impacting mobility. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. Automated driving is made possible through the data acquisition and processing of many different kinds of sensors working in unison. Sensors, cameras, radar, and lidar must work cohesively together to safely provide automated features. In the episode “Automated Vehicles: Converging Sensor Data” (8:01), engineers from IAV Automotive Engineering discuss the challenges associated with the sensor data fusion, and one of Continental North America’s technical teams demonstrate how sensors, radars, and safety systems converge to enable higher levels of automated driving.

Automakers, suppliers, public agencies, interest groups and others are increasingly embracing the environment as one of the dominant forces in the US automotive market. All parties have a strong vested interest in understanding how environmental concerns will influence design, production, marketing and usage of tomorrow�s vehicles. A common need of all parties is independent and actionable information to enable them to make better decisions and have the greatest chance of being successful in this uncertain future. Four factors - an uncertain economic climate; a constantly changing governmental regulatory system; advancements in powertrain technology; and ever-present environmental concerns - continue to shape the automotive landscape. While automakers are focused on developing alternative powertrains and alternative fuel options for an increasingly �green� vehicle market, J.D.

The 19 Technical Papers in this collection address modeling, simulation, analysis, and control (MSA&C) of components, subsystems, and systems pertinent to aerospace power. This includes: tools and techniques, platforms, Mission and Campaign level MSA&C, and Verification and Validation of MSA&C.

This collection of technical papers focuses on state-of-the-art fatigue theory and advanced development in fatigue testing, material behavior under cyclic loading, and fatigue analysis methodology & research in the ground vehicle industry.

Papers with an emphasis on, but not limited to, innovative ideas to enhance automotive safety with improved material constitutive modeling, analysis method developments, simulation and pre/post processing tools, optimization techniques, crash code developments, finite element model updating, model validation and verification techniques, dummies and occupants, restraint systems, passive safety as well as lightweight material applications and designs are included in the collection.

Business Modeling/Operation Research/Big Data Analytics are key enablers for the next wave of innovation and growth across most industries and will address complex issues and systems that involve multiple objectives, alternatives, trade-offs, and large amounts of data and situations involving uncertainty or risk. These papers address new technical advances in these areas and provide valuable insights through the applications of real-world case studies.

Papers with an emphasis on, but not limited to, innovative ideas to enhance automotive safety with improved material constitutive modeling, analysis method developments, simulation and pre/post processing tools, optimization techniques, crash code developments, finite element model updating, model validation and verification techniques, dummies and occupants, restraint systems, passive safety as well as lightweight material applications and designs are included in the collection.

This technical paper collection discusses the modeling, analysis, and validation of commercial vehicle chassis, suspension, and tire modeling and simulation. Topics include commercial vehicle dynamics; chassis control devices such as ABS, traction control, yaw/roll stability control, and their interaction with suspension controls; modeling and simulation of ride comfort, as well as passive and active suspension control methodologies. Authors are encouraged to discuss the validation of their modeling and simulation.

This set includes: SAE International Journal of Aerospace March 2010 - Volume 2 Issue 1 SAE International Journal of Commercial Vehicles October 2009 - Volume 2, Issue 1 March 2010 - Volume 2, Issue 2 SAE International Journal of Engines October 2009 - Volume 2, Issue 1 March 2010 - Volume 2, Issue 2 SAE International Journal of Fuels and Lubricants October 2009 - Volume 2, Issue 1 March 2010 - Volume 2, Issue 2 SAE International Journal of Materials and Manufacturing October 2009 - Volume 2, Issue 1 March 2010 - Volume 2, Issue 2 SAE International Journal of Passenger Cars - Electronic and Electrical Systems October 2009 - Volume 2, Issue 1 SAE International Journal of Passenger Cars - Mechanical Systems October 2009 - Volume 2, Issue 1 March 2010 - Volume 2, Issue 2

Abstract Truck platooning comprises a number of trucks equipped with automated lateral and longitudinal vehicle control technology, which allows them to move in tight formation with short following distances. This study is an initial step toward developing an understanding of the occupant injury risks associated with the multiple sequential impacts between truck platoons and roadside safety barriers, regardless of whether the crash is associated with a malfunction of automated control or human operation. Full-scale crash impacts of a tractor-trailer platoon into a concrete bridge guardrail were simulated for a specific Test Level condition according to the Manual for Assessing Safety Hardware (MASH) standards. The model of the bridge barrier was developed based on its drawings, and material properties were assigned according to literature data.

Abstract A number of studies have shown that driving an unfamiliar vehicle has the potential to introduce additional risk, especially for novice drivers. However, such studies have generally used statistical methods based on analyzing crash and near-crash data from a range of driver groups, and therefore the evaluation has the potential to be subjective and limited. For a more objective perspective, this study suggests that it would be worthwhile to consider vehicle dynamic signals obtained from the Controller Area Network (CAN-Bus) and smartphones. This study, therefore, is focused on the effect of driver experience and vehicle familiarity for issues in driver modeling and distraction. Here, a group of 20 drivers participated in our experiment, with 13 of them having participated again after a one-year time lapse in order for analysis of their change in driving performance.

Abstract Introduction: This study evaluates driving ability in those with Charcot Marie Tooth Disease Type 1A, a hereditary peripheral neuropathy. Methods: Individuals with Charcot Marie Tooth Disease Type 1A (n = 18, age = 42 ± 7) and controls (n = 19; age = 35 ± 10) were evaluated in a driving simulator. The Charcot Marie Tooth Neuropathy Score version 2 was obtained for individuals. Rank Sum test and Spearman rank correlations were used for statistical analysis. Results: A 74% higher rate of lane departures and an 89% higher rate of lane deviations were seen in those with Charcot Marie Tooth Disease Type 1A than for controls (p = 0.005 and p < 0.001, respectively). Lane control variability was 10% higher for the individual group and correlated with the neuropathy score (rS = 0.518, p = 0.040), specifically sensory loss (rS = 0.710, p = 0.002) and pinprick sensation loss in the leg (rS = 0.490, p = 0.054).