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Viewing 1 to 30 of 3329
2017-03-28
Technical Paper
2017-01-0059
Barbaros Serter, Christian Beul, Manuela Lang, Wiebke Schmidt
Today, highly automated driving is paving the road for full autonomy. From basic cruise control to complex automated systems, there is a wide range of technology on the road and more highly automated systems are being rigorously tested that are soon going to be available to consumers. Highly automated vehicles can monitor the environment and make decisions more accurately and faster than humans to create safer driving conditions while ultimately achieving full automation to relieve the driver completely from participating in driving. As much as this transition from advanced driving assistance systems to fully automated driving will create frontiers for re-designing the in-vehicle experience for customers, it will continue to pose significant challenges for the industry as it did in the past and does so today.
2017-03-28
Technical Paper
2017-01-1393
Georges Beurier, Michelle Cardoso, Xuguang Wang
A new experimental seat was designed to investigate sitting biomechanics. Previous literature suggested links between sitting discomfort and shear forces, however, research on this topic is limited. The evaluation of sitting discomfort derived from past research has been primarily associated with seat pressure distribution. The key innovative feature of the experimental seat is not only pressure distribution evaluation but shear forces as well. The seat pan of the experimental seat compromises of a matrix of 52 cylinders, each equipped with a tri-axial force sensor, enabling us to measure both normal and shear forces. The position of each cylinder is also adjustable permitting a uniform pressure distribution underneath the soft tissue of the buttocks and thighs. Backrest, armrests, seat pan and flooring are highly adjustable and equipped with forces sensors to measure contact forces.
2017-03-28
Technical Paper
2017-01-0326
Samuel J. Tomlinson, Martin J D Fisher, Thomas Smith, Kevin Pascal
When sealing an application with a radial O-ring system design there is a balance between O-ring function and ease of assembly. Often times the assembly insertion force rises to the point of unacceptable manufacturing ergonomic practice. Designs are released into production with these high insertion forces while manufacturing operators struggle to assemble parts leaving opportunity for potential operator injury. Several variables impacting O-ring system insertion forces were tested to quantify the effects. Results were analyzed to identify design controls that could be implemented from an early design phase optimizing functionality and ease of assembly.
2017-03-28
Technical Paper
2017-01-0155
Yongbing Xu, Gangfeng Tan, Xuexun Guo, Xianyao Ping
When it is a bit hot in the vehicle during the driving process, the closed cabin temperature still needs to be cooled down. Though the use of car air-condition can cool down the closed cabin temperature, it needs to start and stop the compressor frequently, which increases the parasitic power of the engine and shorten the life-span of the compressor. With the use of semiconductor auxiliary cooling system to regulate the cabin temperature, the system noise is small and the temperature control precision is high. But the system is inefficiency and the energy consumption is high. This research considered the effects of different body heat producing and transferring characteristics, environment temperature and vehicle speed on the capacity of the system overall, and made the semiconductor auxiliary cooling system in a range of low power consumption under the condition of ensuring human comfort.
2017-03-28
Technical Paper
2017-01-0143
Neelakandan Kandasamy, Steve Whelan
During cabin warm-up, effective air distribution by vehicle climate control systems plays a vital role. For adequate visibility to the driver, major portion of the air is required to be delivered through the defrost center ducts to clear the windshield. Which results in thermal interaction between warm air delivered from the HVAC unit and the cold windshield. This creates thermal losses since the windshield acts as a heat sink, which delays the heating of passenger compartment causing delay in time to providing thermal comfort to the passenger. Thus it becomes essential to predict the effect of different windscreen defrost characteristics and its impact on occupant thermal comfort. In this paper, sensitivity analysis is carried for different windscreen defrosts characteristics like ambient conditions modes of operation; change in material properties along with occupant thermal comfort is predicted. An integrated 1D/3D CFD approach is proposed to evaluate the same.
2017-03-28
Technical Paper
2017-01-1390
Monica Lynn Haumann Jones, Jangwoon Park, Sheila Ebert-Hamilton, K. Han Kim, Matthew P. Reed
Seat fit is characterized as the spatial relationship between the seat and the sitter’s anthropometric dimensions. Seat surface pressure distribution is one of the best available quantitative measures of the interaction between occupant and seat interface. The relationship between areas of contact or pressure and seat fit has not been well established. The objective of this study is to model seat pressure distribution as a function of the dimensions of the seat and the sitter’s body. A laboratory study was conducted using 12 production driver seats from passenger cars and light trucks. Thirty-eight men and women sat in each seat in a driving mockup. Seat surface pressure distribution was measured on the seatback and cushion. Standard anthropometric dimensions were recorded for each participant and standardized dimensions based on SAE J2732 were acquired for each test seat.
2017-03-28
Technical Paper
2017-01-0184
Miyoko Oiwake, Ozeki Yoshiichi, Sogo Obata, Hideaki Nagano, Itsuhei Kohri
For the development of various parts and components of hybrid electric vehicles, it is inevitable to realize the effects of those structure and thermal performance on the fuel consumption and cruising distance. However, in general, essential and detailed information is not always open to the suppliers of the vehicle parts and components. In this report, the authors propose a simple method to estimate the algorithm of the energy transmission and then the cruising performance roughly only based on the published information. In particular, the effects of heat transfer characteristics of glass and body on the cruising performance are introduced as an example of the application.
2017-03-28
Technical Paper
2017-01-1376
David H. Weir, Kevin Chao, R. Michael Van Auken
A class of driver attentional workload metrics has been developed for possible application to the measuring and monitoring of attentional workload and level of distraction in actual driving, as well as in the evaluation and comparison of in-vehicle human machine interface (HMI or DVI) devices. The metrics include driver/vehicle response and performance measures, driver control activity, and driver control models and parameters. They are the result of a multidisciplinary, experimental and analytical effort, applying control theory, manual control, and human factors principles and practices. Driving simulator and over-the-road experiments were used to develop, confirm, and demonstrate the use of the metrics in distracted driving situations. The visual-manual secondary tasks used in the study included navigation destination entry, radio tuning, critical tracking task, and a generic touch screen entry task.
2017-03-28
Technical Paper
2017-01-1366
Jeffrey Muttart, Swaroop Dinakar, Jeffrey Suway, Michael Kuzel, Timothy Maloney, Wayne Biever, Toby Terpstra, Tilo Voitel, David Cavanaugh, T.J. Harms
More than half all pedestrian fatalities occur at night. To address this problem, in the 1950s through 1970s Blackwell conducted considerable research that showed that a way to account for the limitations related to drivers’ expectancies at night would be to limit a driver’s time to view the forward roadway. The reduced information during the limited exposure time became a surrogate for the limited information available to on-road drivers at night. With the release of the SHRP-2 naturalistic database, we are able to see how drivers responded to in-road obstacles at night such as animals, bicyclists, pedestrians, and tree limbs. Using the naturalistic response data as a baseline, safe closed road recognition methodology was developed. The closed road study built upon the early nighttime recognition work by Blackwell, the observers were allowed to view the forward roadway for 1 or ¼ second.
2017-03-28
Technical Paper
2017-01-1636
Lukas Preusser
Problem Already in the initial design failure mode analysis of this relatively young feature it became clear that an accurate sensor reading is critical to the performance of the heated steering wheel system. As the temperature reception capability of the human palm is very distinct, small deviations [≤0.1°??/??] from the targeted wheel temperature may be registered as "getting too hot" or "remaining too cold". As per industry standard, heated wheels only utilize a single sensor input to the temperature control circuitry, making it even more important for the sensor to reflect the current surface temperature. Certainly the sensor must be placed where it neither can be seen nor felt, decoupling surface from the sensor's temperature. Production tolerances for sensor placement on the heater mat along with heater mat placement tolerances relative to the armature's position add to the decoupling issue, causing unacceptably high or low steering wheel surface temperatures.
2017-03-28
Technical Paper
2017-01-1368
Jeffrey Aaron Suway, Steven Suway
Mapping the luminance values of a visual scene is of broad interest to accident reconstructionists, human factors professionals, and lighting experts. Such mappings are useful for a variety of purposes, including determining the effectiveness and appropriateness of lighting installations, and performing visibility analyses for accident case studies. One of the most common methods for mapping luminance is to use a spot type luminance meter. This requires individual measurements of all objects of interest and can be extremely time consuming. Luminance cameras can also be used to create a luminance map. While luminance cameras will map a scene’s luminance values more quickly than a spot luminance meter, commercially available luminance cameras typically require long capture times during low illuminance (up to 30 seconds). Previous work has shown that pixel intensity captured by consumer-grade digital still cameras can be calibrated to measure luminance.
2017-03-28
Technical Paper
2017-01-1396
Sarah S. Sharpe, Robyn Brinkerhoff, Caroline Crump, Douglas Young
Unintended acceleration events due to pedal misapplication have been shown to occur more frequently in older vs. younger drivers. While such occurrences are well documented, the nature of these movement errors is not well-characterized in common pedal error scenarios: namely, on-road, non-emergency stopping or slowing maneuvers. It is commonly assumed that drivers move in a ballistic or “direct hit” trajectory from the accelerator to the brake pedal. However, recent simulator studies showed that drivers do not always move directly between pedals, with older drivers displaying more variable foot trajectories than younger drivers. Our study investigated pedal movement trajectories in drivers ages 67.9 ± 5.2 years (7 males, 8 females) during on-road driving in response to traffic light changes. Three different sedans and a pick-up truck were utilized.
2017-03-28
Technical Paper
2017-01-0406
Jindong Ren, Xiaoming Du, Tao Liu, Honghao Liu, Meng Hua, Qun Liu
This paper presented an integrated method for rapid modeling, simulation and virtual evaluation of the interface pressure between driver human body and seat. For the simulation of the body-seat interaction and the calculation of the interface pressure, in addition to body dimensions and material characteristics, an important aspect was the posture and position of the driver body with respect to the seat. The correct simulation results could be acquired only by realistic setting of the body posture, by introducing posture prediction models. To ensure accommodation of the results to the target population, usually several individuals were simulated, whose body anthropometries covered the scope of the whole population. The multivariate distribution of the body anthropometry and the sampling techniques were adopted to generate the individuals and to predict the detailed body dimensions.
2017-03-28
Technical Paper
2017-01-0409
Divyanshu Joshi, Anindya Deb, Clifford Chou
Abstract It is recognized that there is a dearth of studies that provide a comprehensive understanding of vehicle-occupant system dynamics for various road conditions, sitting occupancies and vehicle velocities. In the current work, an in-house-developed 50 degree-of-freedom (DOF) multi-occupant vehicle model is employed to obtain the vehicle and occupant biodynamic responses for various cases of vehicle velocities and road roughness. The model is solved using MATLAB scripts and library functions. Random road profiles of Classes A, B, C and D are generated based on PSDs (Power Spectral Densities) of spatial and angular frequencies given in the manual ISO 8608. A study is then performed on vehicle and occupant dynamic responses for various combinations of sitting occupancies, velocities and road profiles. The results obtained underscore the need for considering sitting occupancies in addition to velocity and road profile for assessment of ride comfort for a vehicle.
2017-03-28
Technical Paper
2017-01-0433
Yang Xing, Chen Lv, Wang Huaji, Hong Wang, Dongpu Cao
Abstract Recently, the development of braking assistance system has largely benefit the safety of both driver and pedestrians. A robust prediction and detection of driver braking intention will enable driving assistance system response to traffic situation correctly and improve the driving experience of intelligent vehicles. In this paper, two types unsupervised clustering methods are used to build a driver braking intention predictor. Unsupervised machine learning algorithms has been widely used in clustering and pattern mining in previous researches. The proposed unsupervised learning algorithms can accurately recognize the braking maneuver based on vehicle data captured with CAN bus. The braking maneuver along with other driving maneuvers such as normal driving will be clustered and the results from different algorithms which are K-means and Gaussian mixture model (GMM) will be compared.
2017-03-28
Technical Paper
2017-01-0432
Bing Zhu, Zhipeng Liu, Jian Zhao, Weiwen Deng
Abstract Adaptive cruise control system with lane change assistance (LCACC) is a novel advanced driver assistance system (ADAS), which enables dual-target tracking, safe lane change, and longitudinal ride comfort. To design the personalized LCACC system, one of the most important prerequisites is to identify the driver’s individualities. This paper presents a real-time driver behavior characteristics identification strategy for LCACC system. Firstly, a driver behavior data acquisition system was established based on the driver-in-the-loop simulator, and the behavior data of different types of drivers were collected under the typical test condition. Then, the driver behavior characteristics factor Ks we proposed, which combined the longitudinal and lateral control behaviors, was used to identify the driver behavior characteristics. And an individual safe inter-vehicle distances field (ISIDF) was established according to the identification results.
2017-03-28
Journal Article
2017-01-1564
Minh-Tri Nguyen, Jürgen Pitz, Werner Krantz, Jens Neubeck, Jochen Wiedemann
Abstract In addition to the analysis of human driving behavior or the development of new advanced driver assistance systems, the high simulation quality of today’s driving simulators enables investigations of selected topics pertaining to driving dynamics. With high reproducibility and fast generation of vehicle variants the subjective evaluation process leads to a better system understanding in the early development stages. The transfer of the original on-road test run to the virtual reality of the driving simulator includes the full flexibility of the vehicle model, the maneuver and the test track, which allows new possibilities of investigation. With the opportunity of a realistic whole-vehicle simulation provided by the Stuttgart Driving Simulator new analysis of the human’s thresholds of perception are carried out.
2017-03-28
Journal Article
2017-01-0178
Mark Hepokoski, Allen Curran, Sam Gullman, David Jacobsson
Passive sensor (HVAC) manikins have been developed to obtain high resolution measurements of environmental conditions across a representative human body form. These manikins incorporate numerous sensors that measure air velocity, air temperature, radiant heat flux, and relative humidity. The effect of a vehicle’s climate control system on occupant comfort can be characterized from the data collected by an HVAC manikin. Equivalent homogeneous temperature (EHT) is often used as a first step in a cabin comfort analysis, especially since it reduces a large data set to a single intuitive number. However, the applicability of the EHT for thermal comfort assessment is limited since it does not account for human homeostasis, i.e., that the human body actively counter-balances heat flow with the environment in order to maintain a constant core temperature.
2017-03-28
Technical Paper
2017-01-1380
Richard Young
Abstract Dingus and colleagues recently estimated the crash odds ratios (ORs) for secondary tasks in the Strategic Highway Research Program Phase 2 (SHRP 2) naturalistic driving study. Their OR estimate for hand-held cell phone conversation (Talk) was 2.2, with a 95% confidence interval (CI) from 1.6 to 3.1. This Talk OR estimate is above 1, contrary to previous estimates below 1. A replication discovered two upward biases in their analysis methods. First, for video clips with exposure to a particular secondary task, Dingus and colleagues selected clips not only with exposure to that task, but often with concurrent exposure to other secondary tasks. However, for video clips without exposure to that task, Dingus and colleagues selected video clips without other secondary tasks. Hence, the OR estimate was elevated simply because of an imbalanced selection of video clips, not because of risk from a particular secondary task.
2017-03-28
Technical Paper
2017-01-1374
Michael J. Flannagan, Shan Bao, Anuj Pradhan, John Sullivan, Yu Zhang
Abstract 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.
2017-03-28
Technical Paper
2017-01-1370
Hiroyuki Hara, Masaaki Kawauchi, Masayuki Katayama, Noriyuki Iwamori
Abstract Driving is an action that depends strongly on visual information. For displays in the cockpit, a combination of “ease of viewing” to inform the driver of danger early and “annoyance reduction” to avoid drops in the driver’s perception is needed. In this study, we tried to capture “ease of viewing” and “annoyance” in one fixed-quantity indicator. We took up a Camera Monitor System (CMS) as the subject and analyzed the effect that annoyance with the display used in CMSs has on driving behavior. Based on our analysis, we hypothesize that evaluating carelessness in viewing behavior is related evaluating to annoyance. Next, we chose a Detection Response Task (DRT) technique as a method to evaluate driving behavior influenced by this annoyance.
2017-03-28
Technical Paper
2017-01-1369
Abtine Tavassoli, Sam Perlmutter, Dung Bui, James Todd, Laurene Milan, David Krauss
Abstract Vision plays a key role in the safe and proper operation of vehicles. To safely navigate, drivers constantly scan their environments, which includes attending to the outside environment as well as the inside of the driver compartment. For example, a driver may monitor various instruments and road signage to ensure that they are traveling at an appropriate speed. Although there has been work done on naturalistic driver gaze behavior, little is known about what information drivers glean while driving. Here, we present a methodology that has been used to build a database that seeks to provide a framework to supply answers to various ongoing questions regarding gaze and driver behavior. We discuss the simultaneous recording of eye-tracking, head rotation kinematics, and vehicle dynamics during naturalistic driving in order to examine driver behavior with a particular focus on how this correlates with gaze behavior.
2017-03-28
Technical Paper
2017-01-1365
Michael Larsen
Abstract Vehicle certification requirements generally fall into 2 categories: self-certification and various forms of type approval. Self-certification requirements used in the United States under Federal Motor Vehicle Safety Standards (FMVSS) regulations must be objective and measurable with clear pass / fail criteria. On the other hand, Type Approval requirements used in Europe under United Nations Economic Commission for Europe (UNECE) regulations can be more open ended, relying on the mandated 3rd party certification agency to appropriately interpret and apply the requirements based on the design and configuration of a vehicle. The use of 3rd party certification is especially helpful when applying regulatory requirements for complex vehicle systems that operate dynamically, changing based on inputs from the surrounding environment. One such system is Adaptive Driving Beam (ADB).
2017-03-28
Technical Paper
2017-01-1364
Kashif Ali, Vikas Kumar, Virat Kalra
Abstract Vehicle occupant packaging and interior and exterior body design determine the overall visibility that the driver of the vehicle has. Visibility is also dependent on technological features inside and outside the passenger cell like proximity sensors and cameras etc. The focus of this research is to find and analyze the visibility percentages, blind spot angles and blind spot areas using statistical data both individually and as vehicle class put together in order to justify the need for standardization of basic visibility enhancing aids. This study has an added significance considering the Indian road transportation statistics. On an average, 16 people die every hour due to road accidents in India. The aim is to focus on cases that affect visibility in low speed driving, coasting and reversing that causes loss to public and private property.
2017-03-28
Technical Paper
2017-01-1395
Se Jin Park, Murali Subramaniyam, Seunghee Hong, Damee Kim, Tae Hyun Kim, Dong Woo Cho, Bum Il Shim
Abstract Seat cushions are considered as one of the important factors influence the seating comfort. In the automotive seat cushions, flexible polyurethane foams have been widely used due to the cushioning performance. Automotive seat designers are paying more attention to the improvement of seat cushion properties. This study introduces an automotive seat that uses an air-mat in the seat cushion along with polyurethane foam. The air-mat can be adjusted with its internal air pressure. The objective of this paper is to examine air-mat seat pressure level on seating comfort. Vibration experiments have been performed on the BSR simulator with random vibration. Tri-axial accelerometers were used to measure vibration at the foot and hip. All measured vibration were about the vertical direction (z-axis). The whole-body vibration exposure parameters (weighted root-mean-square (RMS), vibration dose value (VDV), transmissibility (SEAT value)) were calculated per ISO 2631-1 standard.
2017-03-28
Technical Paper
2017-01-1394
Seung Nam Min, Murali Subramaniyam, Seunghee Hong, Damee Kim, Dong Joon Kim, Kyung-Sun Lee, Sun Ho Hur, Hyuk KIM, Se Jin Park
Abstract Drivers’ physical and physiological states change with prolonged driving. Driving for extended periods of time can lead to an increased risk of low back pain and other musculoskeletal disorders, caused by the discomfort of the seats. Static and dynamic are the two main categories must be considered within the seating development. The posture and orientation of the occupant are the important factors on static comfort. Driving posture measurement is essential for the evaluation of a driver workspace and improved seat comfort design. This study evaluated the comfortable driving posture through physiological and ergonomics measurements of an automotive premium driver seat. The physiological evaluation includes electroencephalographic (EEG) for brain waves, Biopac’s AcqKnowledge program, and subjective measurements on 32 healthy individuals. JACK simulation was used for the ergonomics evaluation, i.e., the magnitude of the spinal loads about lumbar vertebrae was estimated.
2017-03-28
Technical Paper
2017-01-1392
Abhilash CHOUBEY, RAJESH PAL, Kotanageswararao Puli, Pankaj Maheshwari, Sandeep Raina
Abstract The seating system is an inseparable part of any automobile. Its main function is not only to provide a space to the user for driving but also to provide support, comfort and help to ergonomically access the various features and necessary operations of the vehicle. For comfort and accessibility, seats are provided with various mechanisms for adjustments in different directions. Typical mechanisms used for seating adjustment include seatback recliners, lifters (height adjusters), longitudinal adjusters, lumber support, rear seat folding mechanism etc. These mechanisms can be power operated or manual based on vehicle/market requirements. For manual mechanisms, the occupant adjusts the position of seat by operating the mechanism with his/her hand. Often comfort to the occupant during operation is limited to the operating effort of the mechanism. However, as will be shown through this study, operating effort is only one of the parameters which provide overall comfort feeling.
2017-03-28
Technical Paper
2017-01-1389
Ankush Kamra, Sandeep Raina, Pankaj Maheshwari, Abhishek Agarwal, Prasad Latkar
Abstract Automotive seating is designed by considering safety, comfort and aesthetics for the occupants. Seating comfort is one of the important parameters for the occupant for enhancing the overall experience in a vehicle. Seating comfort is categorized as static (or showroom) comfort and dynamic comfort. The requirements for achieving static and dynamic comfort can sometimes differ and may require design parameters such as PU hardness to be set in opposite directions. This paper presents a case wherein a base seat with good dynamic comfort is taken and an analysis is done to improve upon the static comfort, without compromising on the dynamic comfort. The study focuses on improving the initial comfort by considering various options for seating upholstery.
2017-03-28
Technical Paper
2017-01-1384
Richard Young
Abstract This proof-of-concept demonstrates a new method to predict the relative crash risk in naturalistic driving that is caused (or prevented) by the effects on attention of visual-manual secondary tasks performed while driving in a track experiment. The method required five steps. (1) Estimate valid relative crash/near-crash risks of visual-manual secondary tasks measured during naturalistic driving. These data were taken from a prior SAE publication of unbiased estimates of the relative crash/near-crash risks of secondary tasks in the 100-Car naturalistic driving study. (2) Calculate the “physical demand” and “cognitive demand” scores for visual-manual secondary tasks performed while driving on a track.
2017-03-28
Technical Paper
2017-01-1387
Jing Zhang
Existing automotive infotainment and telematics systems are increasingly feature-rich; they are simultaneously more densely packed with information and more complicated in terms of human-machine interactions. This complexity negatively impacts the situational awareness (SA) of the driver, and contributes to driver distraction. With the proliferation of tablets and smart phones, automotive mobile applications are growing in popularity; however, their content has been confined to a limited subset of vehicle information and control functions. Phone projection systems such as Apple CarPlay™ allow in-vehicle consumption of phone-based media but offer no improvement for the rest of connected vehicle features. The author proposes a content strategy to significantly reduce in-vehicle system complexity and elevate driver SA.
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