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2015-05-07
Standard
J1757/1_201505
The scope of this SAE Standard is to provide methods to determine display optical performance in all typical automotive ambient light illumination - with focus on High Ambient Contrast Ratio, which is critical for display legibility in a sunshine environment. It covers indoor measurements and simulated outdoor lighting. It is not the scope of this document to set threshold values for automotive compliance. However some recommended values are presented for reference.
2015-05-05
WIP Standard
J3099
Presents the seating accommodation model used to determine seat track length for accommodation in design.
2015-05-05
Magazine
Democratizing hybrid technologies Engineers continue to wring efficiency and mass out of their latest electrified propulsion systems with the aim of mainstreaming the technology. Automakers see possibilities, limits for gesture controls Recent concepts have shown the possibilities of gesture for controlling infotainment functions but the need for industry standards and control simplification complicate development. Ferrari massages 458 to create 488 GTB Ferrari engineers have further refined the 458 Italia model with a new turbocharged and downsized engine and revised aerodynamics to create the 488 GTB.
2015-04-30
Standard
J1174_201504
This SAE Recommended Practice establishes the instrumentation and procedure to be used in measuring the operator ear sound level for engine powered equipment under 30 kW (40 bhp). The sound levels obtained by using this procedure are representative of the sound levels generated by the equipment under typical operating conditions. It is intended to include equipment such as lawn mowers, snow blowers, and tillers. It is not intended to include equipment designed primarily for operation on highways or within factories or buildings, or vehicles such as motorcycles, snowmobiles, and pleasure motorboats that are covered by other SAE Standards or Recommended Practices. This procedure does not cover handheld equipment such as chainsaws, leaf blowers, and trimmers. This SAE Recommended Practice may also be used when measuring the operator ear sound level of similar equipment powered by electricity or other power sources.
2015-04-21
Article
Although 30% of traffic fatalities are alcohol-related, and electronic Driver Alcohol Detection System for Safety has appeal, more targeted approaches to reducing them are being taken by car makers. Programs aimed at reducing teen driver accidents and death were described at the 25th annual World Traffic Safety Symposium during the New York Auto Show.
2015-04-14
Collection
This collection of technical papers focus on studies of driver behavior modeling, driving simulator techniques, vehicle ride comfort evaluation and enhancement, test/simulation correlation analysis, vehicle elastomeric component modeling (i.e. bushings, rubber mounts, springs, dampers, seat cushions), passive, semi-active and active suspension systems, suspension seat analysis and modeling techniques, the effect and control of beaming, shaking, impact harshness, brake judder and any other phenomena affecting ride comfort of driver, passengers, goods, etc.
2015-04-14
Technical Paper
2015-01-1704
Dee Kivett, John Smith
Several emerging technologies hold great promise to improve the 360-degree awareness of the heavy vehicle driver. However, current industry-standard evaluation methods do not measure all the comprehensive factors contributing to the overall effectiveness of such systems. As a result, industry is challenged to evaluate new technologies in a way that is objective and allows the comparison of different systems in a consistent manner. This research aims to explore the methods currently in use, identify relevant factors not presently incorporated in standard procedures, and recommend best practices to accomplish an overall measurement system that can quantify performance beyond simply the field of view of a driver visibility system. We introduce a new metric, “Clarity of View,” that incorporates several important factors for visibility systems including: gap acceptance accuracy, image detection time, and distortion.
2015-04-14
Technical Paper
2015-01-0418
Vijitashwa Pandey, Megan Conrad
Abstract This paper develops a design paradigm for universal products. Universal design is term used for designing products and systems that are equally accessible to and usable by people with and without disabilities. Two common challenges for research in this area are that (1) There is a continuum of disabilities making it hard to optimize product features, and (2) There is no effective benchmark for evaluating such products. To exacerbate these issues, data regarding customer disabilities and their preferences is hard to come by. We propose a copula-based approach for modeling market coverage of a portfolio of universal products. The multiattribute preference of customers to purchase a product is modeled as Frank's Archimedean Copula. The inputs from various disparate sources can be collected and incorporated into a decision system.
2015-04-14
Technical Paper
2015-01-0606
Jiaquan Chen, Min Qin, Lingge Jin, Liu Tao, Yongfeng Jiang, Wei Wang, Yin-Ping Chang
Abstract An automotive vehicle should be designed to satisfy the wants of customers. The key is how to convert voices of customers into engineering languages. In other words, transfer the wants of customers into the right technical characteristics of a vehicle. A questionnaire of customer wants for a CUV (Crossover Utility Vehicle) is created and processed. Using QFD (Quality Function Deployment) and modified KANO model, the relative important degree is obtained from the original relative important degree of customer wants surveyed. Since some information gained is uncertain and the questionnaire sample is limited, a gray correlation analysis method is introduced, which calculates the competitive important degree of customer wants, then the final important degree of customer wants is gained by integrating the relative important degree and the competitive important degree.
2015-04-14
Technical Paper
2015-01-1588
Ibrahim A. Badiru, Michael W. Neal
Abstract Rapidly increasing customer, financial, and regulatory pressures are creating clear changes in the calculus of vehicle design for modern automotive OEM's (Original Equipment Manufacturers). Customers continue to demand shorter product lifecycles; the increasingly competitive global market exerts pressure to reduce costs in all stages of development; and environmental regulations drive a continuous need to reduce mass and energy consumption. OEM's must confront these challenges while continuing to satisfy the customer. The foundation to meeting these challenges includes: (1) Continued development of objective metrics to quantify performance; (2) Frontloading vehicle design content and performance synthesis; (3) A precise understanding of the customer and their performance preferences under diverse usage conditions. These combined elements will enable products better optimized amongst competing (and often contradictory) imperatives.
2015-04-14
Technical Paper
2015-01-0503
Hefeng Zhan, Gangfeng Tan, Haobo Xu, Xin Li, Zhaohua Wang, Can Wang
Abstract Plenty of dust particles which are generated when a sweeping vehicle is dumping harm to workers' health. In the study, the designed vacuum dust control system could effectively capture easily raised dust particles in the air in the premise of not impacting the dumping process so as to improve the unloading work environment. Firstly, longitudinal motion trajectory model of dust particles in the dumping process is established. Based on the side collision probability model of dust particles, lateral velocity distribution of dust particles is obtained. What's more, the scope of lateral dust particles is determined. Taking into account coupling of the dust control system and the working state of the vehicle, the suction mouth is arranged at the edge on the outside of hatch cover. Centrifugal horizontal dust removal system designed in the research is fixed in the middle of the filter cover part and discharging hatch cover area.
2015-04-14
Technical Paper
2015-01-0659
Yan Bai, Xiao Ren, Rui Fu
Abstract Driver model has been developed since 1950s and quite a lot of attention has been attracted on this aspect. Today there is a body of knowledge regarding driver mathematic model. Since driving behavior is highly complex, involving psychology and physiology factors, it is not easy to use a simple driver model to represent all characteristic features comprehensively, according to the utilization of driver model, some assumptions are necessarily proposed in order to tackle the specific problem easily. Optimal Preview Acceleration Driver Model was put forward based on the Preview-Following Theory proposed by Prof. Guo in 1983. This driver model is quite simple and easy to understand, and accurate for great curvature path following. However, recent study has shown that more work is needed to improve the path following ability for sharp corner or urgent corner (higher frequency steering input).
2015-04-14
Technical Paper
2015-01-1385
Li Hsieh, Sean Seaman, Richard Young
Abstract As advanced electronic technology continues to be integrated into in-vehicle and portable devices, it is important to understand how drivers handle multitasking in order to maintain safe driving while reducing driver distraction. NHTSA has made driver distraction mitigation a major initiative. Currently, several types of Detection Response Tasks (DRTs) for assessing selective attention by detecting and responding to visual or tactile events while driving have been under development by an ISO WG8 DRT group. Among these DRTs, the tactile version (TDRT) is considered as a sensitive surrogate measure for driver attention without visual-manual interference in driving, according to the ISO DRT Draft Standard. In our previous study of cognitive demand, our results showed that the TDRT is the only surrogate DRT task with an acute sensitivity to a cognitive demand increase in an auditory-vocal task (i.e., n-Back verbal working memory task).
2015-04-14
Technical Paper
2015-01-1399
Dee Kivett, Victor Gallas Cervo, Aparna Mantha, John Smith
Abstract A common result of aging is a decline in peripheral vision. This study provides a preliminary feasibility analysis of an improved method for alerting drivers of oncoming traffic in blind-spots. Luminescence with an intuitive color-scheme is used as the primary stimulus to permeate a wider field of useful vision than that of existing technology in use today. This method was developed based on concepts of affordance-based design through its adaptation to address specific cognitive and visual acuity challenges of the elderly. The result is an improved, intuitive technique for hazard alert that shows significant improvement over existing technology for all age groups, not just the elderly.
2015-04-14
Technical Paper
2015-01-1396
Xiangjie Meng, Xin Tao, Wenjun Wang, Chaofei Zhang, Bo Cheng, Bo Wang, Chengpeng Zhou, Xiaoping Jin, Chao Zeng, John Cavanaugh, Chaoyang Chen
Abstract Low back pain has a higher prevalence among drivers who have long term history of vehicle operations. Vehicle vibration has been considered to contribute to the onset of low back pain. However, the fundamental mechanism that relates vibration to low back pain is still not clear. Little is known about the relationship between vibration exposure, the biomechanical response, and the physiological responses of the seated human. The aim of this study was to determine the vibration frequency that causes the increase of muscle activity that can lead to muscle fatigue and low back pain. This study investigated the effects of various vibration frequencies on the lumbar and thoracic paraspinal muscle responses among 11 seated volunteers exposed to sinusoidal whole body vibration varying from 4Hz to 30Hz at 0.4 g of acceleration. The accelerations of the seat and the pelvis were recorded during various frequency of vibrations. Muscle activity was measured using electromyography (EMG).
2015-04-14
Technical Paper
2015-01-1465
Sho Nikaido, Shota Wada, Yasuhiro Matsui, Shoko Oikawa, Toshiya Hirose
Abstract Although traffic accidents in Japan involving bicycles have been decreasing yearly, more than 120,000 per year still occur. Few data exist regarding the mechanisms underlying bicycle accidents occurring at intersections. Such dangerous situations form the backdrop of the warning and automatic braking systems being developed for motor vehicles. By clarifying cyclist behavioral characteristics at crucial times, it may be possible to introduce a similar warning system for cyclists as a countermeasure to reduce accidents. The objective of this study is to clarify the mechanism of accidents involving bicycles and to obtain useful data for the development of a warning system for cyclists. A video camera and software investigated and analyzed cyclists' speed and trajectory at an intersection where many accidents occur. Cyclists entering the intersection from one direction were recorded.
2015-04-14
Technical Paper
2015-01-1357
James A. Crowley
Abstract In the area of Human Factors and Usability research a desired output of many studies is identification of what value a specific Design Parameter should be set at to minimize customer dissatisfaction. A Customer Loss Function is a simple way to graphically display the probability customers will be dissatisfied at different levels of a given design parameter, due to a given failure mode. Many design parameters however, have two distinct but related Failure Modes (customer disatisfiers), typically representing two ends of the parameter (i.e. too much/too little; too hot/too cold; too fast/too slow). Each of these Failure modes is represented by its own unique Customer Loss Function. This paper will introduce a technique to combine these two One-Sided Loss Functions into a comprehensive Two Sided Loss Function. The mathematics behind the creation of both one sided and two sided loss functions is based on Binary Logistic Regression [1,2,3] Analysis Techniques.
2015-04-14
Technical Paper
2015-01-1394
Alessandro Naddeo, Marco Apicella, Davide Galluzzi
Abstract General comfort can be defined as the measure of the “level of wellbeing” perceived by humans when interacting with a working environment. The state of the art for comfort/discomfort evaluation shows the need for an objective method to evaluate both “effects on the internal body” and “perceived effects” when considering the perception of comfort. Medical studies show that each joint has its own natural resting posture. In this posture, our muscles are completely relaxed or at minimum levels of strain. The body's geometrical configuration corresponds to the natural resting position of arms/legs/neck etc. From this starting point, the authors experimented to develop and built postural-comfort curves for each degree of freedom (DOF) of upper-limb joints. These curves are regular, and do not show any kind of discontinuity. Software (CA-Man®) was developed to analyze different postures and calculate a postural comfort index for the entire upper body.
2015-04-14
Technical Paper
2015-01-1390
Venk Kandadai, Helen Loeb, Guyrandy Jean-Gilles, Catherine McDonald, Andrew Winston, Thomas Seacrist, Flaura Winston
Abstract Driving simulators offer a safe alternative to on-road driving for the evaluation of driving performance. Standardized procedures for providing individualized feedback on driving performance are not readily available. The aim of this paper is to describe a methodology for developing standardized procedures that provide individualized feedback (“LiveMetrics”) from a simulated driving assessment used to measure driving performance. A preliminary evaluation is presented to test the performance of the LiveMetrics methodology. Three key performance indicators are used to evaluate the performance and utility of the method in the context of the preliminary evaluation. The results from the preliminary evaluation suggest abilities to customize reporting features for feedback and integrate these into existing driver training and education programs.
2015-04-14
Technical Paper
2015-01-1498
Yuyao Jiang, Weiwen Deng, Sumin Zhang, Shanshan Wang, Qingrong Zhao, Bakhtiar Litkouhi
Abstract Steering torque feedback, or steering feel, is widely regarded as an important aspect of driver interface to road feel. To generate a steering feel with the appropriate level of fidelity required by a driver-vehicle system or a driving simulator, it is essential to gain a good understanding of various important influencing factors of steering torque feedback. This paper presents a comprehensive study and analysis of internal and external factors that strongly affect steering torque feedback. A steering torque feedback model with sufficient fidelity is established and verified as the base for this study. The individual- and collective-level influences of these factors on steering torque feedback are analyzed in both time domain and frequency domain, with guidelines provided on how to properly use these influencing factors to control their negative effects in modeling steering torque feedback.
2015-04-14
Technical Paper
2015-01-1120
Siddhartha Singh, Sudha Ramaswamy
Abstract 1 The modern engine is capable of producing high torque and horsepower. Now the customer wants state of the art comfort and ergonomics.Thus the manufacturers are focusing on reducing the clutch pedal effort and providing a pleasurable driving experience. In heavy traffic conditions where the clutch is used frequently, the pedal effort required to disengage the clutch should be in comfortable range. Often drivers who drive HCV complain about knee pain which is caused due to high pedal effort, this occurs when ergonomics of ABC (accelerator, brake and clutch) pedals is not designed properly. Thus there is a need to reduce the driving fatigue by optimizing the clutch system. Latest technologies like turbo charging and pressure injection have increased the engine power and torque but have also led to increase the clamp load of clutch. Thus the release load required to disengage the clutch has also increased.
2015-04-14
Technical Paper
2015-01-1161
Lei Feng, Ming Cheng, Bo Chen
Abstract This paper studies model predictive control algorithm for Hybrid Electric Vehicle (HEV) energy management to improve HEV fuel economy. In this paper, Model Predictive Control (MPC), a predictive control method, is applied to improve the fuel economy of power-split HEV. A dedicated model predictive control method is developed to predict vehicle speed, battery state of charge (SOC), and engine fuel consumption. The power output from the engine, motor, and the mechanical brake will be adjusted to match driver's power request at the end of the prediction window while minimizing fuel consumption. The controller model is built on Matlab® MPC toolbox® and the simulations are based on MY04 Prius vehicle model using Autonomie®, a powertrain and fuel economy analysis software, developed by Argonne National Laboratory. The study compares the performance of MPC and conventional rule-base control methods.
2015-04-14
Technical Paper
2015-01-1414
Jitendra Shah, Mohamed Benmimoun
Abstract The focus of this paper is the threat assessment of perceived threat by drivers in collision avoidance situations. The understanding of the decision making process with regards to the initiation of a driver intervention is a crucial step to gain insight into driver's steering and braking behavior in case of an imminent threat (rear-end collision). Hence a study with various test subjects and a test vehicle has been conducted. The study has helped to understand how drivers behave in potential rear-end collision situations arising from the traffic situation (e.g. start of a traffic jam). This information is of major importance for designing autonomous collision avoidance systems and an important step towards autonomous driving. Autonomous driving in vehicles require system interventions to be initiated as early and safely as possible in order to avoid the collision and to avoid unstable vehicle dynamics situations.
2015-04-14
Technical Paper
2015-01-1384
Richard Young, Jing Zhang
Abstract In this age of the Internet of Things, people expect in-vehicle interfaces to work just like a smartphone. Our understanding of the reality of in-vehicle interfaces is quite contrary to that. We review the fundamental principles and metrics for automotive visual-manual driver distraction guidelines. We note the rise in portable device usage in vehicles, and debunk the myth of increased crash risk when conversing on a wireless device. We advocate that portable electronic device makers such as Apple and Google should adopt driver distraction guidelines for application developers (whether for tethered or untethered device use in the vehicle). We present two design implications relevant to safe driving. First, the Rule of Platform Appropriateness: design with basic principles of ergonomics, and with driver's limited visual, manual and cognitive capacity, in mind. Second, the Rule of Simplicity: thoughtful reduction in the complexity of in-vehicle interfaces.
2015-04-14
Technical Paper
2015-01-1706
Sreegururaj Jayachander, Krishna Raj Nair M K
Abstract Melatonin, otherwise popularly known as the “sleep hormone” is known to govern the human circadian rhythms. Current studies indicate that the generation of melatonin is impacted by the ambient light. The natural sleep inducing behavior during night and in darkness, is also due to the same phenomenon. Studies have shown that light of particular wavelengths in the visible spectrum have a higher effect on the amount of melatonin secreted by the human body. Blue light in the wavelengths of around 468 nm is known to inhibit the melatonin secretion, the most. This branch of science known as photobiology is in its nascent stage and is a matter of research pursued by neurologists, endocrinologists and other lighting researchers. Photobiology has several potential applications in the automotive industry, the principal one being driver drowsiness prevention.
2015-04-14
Technical Paper
2015-01-1707
Ravi Ranjan, Shivaswaroop Parameswaraiah
Abstract 1 Glare is subjective and can either cause disability or discomfort in eyes. Thus glare during driving especially at night is a serious concern and must be addressed. No commercial product exists to counter the glare, though there had been some academic progress in realizing a solution. The paper presents two promising technologies that help in reducing the oncoming vehicle glare. The system comprises of a vision based identification of glare source. A pixelated transparent film/glass with dynamically controllable transmittance is placed between the driver and source. By changing the transparency locally, glare is avoided without affecting the overall visibility. The paper details on lab results and feasibility of two proposed solution i.e. Use of a matrix of electro chromic films such that each element can be individually controlled and use of transparent LCD such that each pixel is controlled for its transparency.
2015-04-14
Technical Paper
2015-01-1407
Toshiya Hirose, Dai Kitabayashi, Hidenobu Kubota
Abstract This study investigated the driving characteristics of drivers when the system changes from autonomous driving to manual driving in the case of low driver alertness. The analysis clarified the difference in driving characteristics between cases of normal and low driver alertness. In the experiments, driver's alertness states varied from completely alert (level 1) to asleep (level 5). The experimental scenario was that the host vehicle drives along a highway at 27.8 m/s (100km/h) under the control of the autonomous system. The operation of the autonomous system is suspended, and the mode of autonomous driving changes to a mode of manual driving as the other vehicle pulls in front of the host vehicle. The driver then avoids a collision with the other vehicle with him/herself in control. The alertness level of drivers was determined from a previously developed method of examining video of the driver's face and their actions.
2015-04-14
Technical Paper
2015-01-0218
C Sreelakshmi, Krishnan Kutty
Abstract Facial expression, a significant way of nonverbal communication, effectively conveys humans' mental state, emotions and intentions. Understanding of emotions through these expressions is an easy task for human beings. However, when it comes to Human Computer Interface (HCI), it is a developing research field that enables humans' to interact with computers through touch, voice, and gestures. Communication through expression in HCI is still a challenge. In addition, there are a variety of fields such as automotive, biometric, surveillance, teleconferencing etc. in which expression recognition system can be applied. In recent years, several different approaches have been proposed fr facial expression recognition, but most of them work only under definite environmental conditions. The proposed framework aims to recognize expressions (by analyzing the facial features extracted) based on the Active Shape Model (ASM).
2015-04-14
Technical Paper
2015-01-0214
Ramya Deshpande, Krishnan Kutty, Shanmugaraj Mani
In modern cars, the Advanced Driver Assistance Systems (ADAS) is cardinal point for safety and regulation. The proposed method detects visual saliency region in a given image. Multiple ADAS systems require number of sensors and multicore processors for fast processing of data in real time, which leads to the increase in cost. In order to balance the cost and safety, the system should process only required information and ignore the rest. Human visual system perceives only important content in a scene while leaving rest of portions unprocessed. The proposed method aims to model this behavior of human visual system in computer vision/image processing applications for eliminating non salient objects from an image. A region is said to be salient, if its appearance is unique. In our method, the saliency in still images is computed by local color contrast difference between the regions in Lab space.
2015-04-14
Journal Article
2015-01-0297
Jianbo Lu, Dimitar Filev, Finn Tseng
Abstract This paper proposes an approach that characterizes a driver's driving behavior and style in real-time during car-following drives. It uses an online learning of the evolving Takagi-Sugeno fuzzy model combined with the Markov model. The inputs fed into the proposed algorithm are from the measured signals of on-board sensors equipped with current vehicles, including the relative distance sensors for Adaptive Cruise Control feature and the accelerometer for Electronic Stability Control feature. The approach is verified using data collected using a test vehicle from several car-following test trips. The effectiveness of the proposed approach has been shown in the paper.
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