In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle. Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.

关键词：汽车；消费性事务；减排；燃油经济性

查看摘要 索取原文[62页]

In this paper,based on characteristic analysis of driver training operation,a new approach of information acquisition for driver training is found,which is through extracting acceleration information.The information acquisition device which is under MEMS three-axis acceleration transducer,based on ADXL335 and MCU,can achieve real-time and accurate measurement of vehicles' three-dimensional acceleration.By comparing the change curve of measured acceleration with the related data of good driver,the existing problems will be found out.In this way,the driver training operation can be assessed in a timely way.

关键词：汽车；MEMS传感器；汽车驾驶员；培训操作

查看摘要 索取原文[6页]

Recently the convergence of IT Services is using much information. Fusion of vehicle information technology and IT services are developing very fast. In this paper is about car insurance service used vehicle information and user information. In this paper, the car insurance service is convergence that vehicle information and user information. We propose accident service, eco-driving service, breakdown service based on the information collected from the vehicle.

关键词：汽车;汽车保险; OBD;车辆信息

查看摘要 索取原文[6页]

关键词：汽车；卷积码；网格图；编码效率； FPGA

查看摘要 索取原文[5页]

This report discusses light-vehicle crash countermeasure profiles and functions for five target pre-crash scenario groups based on vehicle-to-vehicle (V2V) communications. Target pre-crash scenario groups include rear-end, lane change, opposite direction, junction crossing, and left turn across path from opposite direction (LTAP/OD) crashes involving at least one light vehicle (e.g., passenger car, van, minivan, sport utility vehicle, or light pickup truck with a gross vehicle weight rating of 10,000 pounds or less). There are 10 pre-crash scenarios in these groups to be addressed by V2V-based crash countermeasures. Kinematic equations are presented for the time-to-collision and avoidance maneuvers to identify information needs for these crash countermeasures. Information needs are translated into countermeasure functional requirements based on relevant safety applications devised in two prior research projects dealing with cooperative V2V communications and autonomous vehicle-based sensing systems. This report identifies two target pre-crash scenarios that would require new safety applications not developed in prior projects, including the LTAP/OD and opposite direction/no vehicle maneuver pre-crash scenarios.

关键词：汽车；避免撞车；车辆安全；通信系统

查看摘要 索取原文[48页]

The final report, Evaluation of a Prototype Safer Teen Car, describes the methods, findings, and recommendations by the University of Minnesota on the practicality and benefits of a system that can provide real-time driver feedback to teen drivers. A prototype Safer Teen Car (STC) system was developed and served as the basis for a field evaluation and as a demonstration unit for stakeholder groups. The STC designed for this project was comprised of a number of interrelated subsystems, including: Teen driver identification subsystem; Seat belt detection & enhanced reminder subsystem; Passenger presence subsystem; Speed monitoring & feedback subsystem; Excessive maneuver & feedback subsystem; Cell phone use detection & mitigation subsystem; and Driving context subsystem. The findings generally showed improved safety behavior during when the STC system provided feedback. For example, the reduction in the per-mile rate of excessive maneuvers was statistically significant at night, but not during the day. In general, the results indicated reductions in the rates of speeding, excessive maneuvers, and seat belt nonuse. Overall, the STC was viewed as useful and safety-enhancing, by both teens and parents. Both teens and parents agreed that the STC changed the teens driving behavior. Parents would generally recommend the STC to other parents.

关键词：汽车；青少年司机；安全带；速度监控

查看摘要 索取原文[188页]

To examine drivers' perceptions of and attitudes toward car navigation systems, the present study integrated perceived satisfaction and perceived loca-tional accuracy into a modified technology acceptance model, and investigated hypothesized causal paths proposed by the research model with data collected from an online survey (N = 1,204). Results from the structural equation modeling indicated that perceived satisfaction and locational accuracy played crucial roles in determining perceived ease of use and perceived usefulness of the navigation systems. Implications and limitations are discussed.

关键词：汽车;汽车导航系统;技术接受模型;感知满意度

查看摘要 索取原文[8页]

Simulation model of automobile power train has been built using ADVISOR,on the basis of Genetic Algorithm Tool Box,the paper takes a mini car as example to carry out performance simulation calculation and power train parametric optimization design.The result show that automobile power performance and fuel economy and emission performance have been greatly improved The power train has great influence on automobile power performance and fuel economy and emission performance.It is an important approach to optimize its matching parameters on reducing the fuel wastage,improving dynamical performance and decreasing the emission of waste gas.Genetic Algorithm is kind of global searching and optimized algorithm which integrates the principles of biological evolution with optimization technology and computer technology.ADVISOR,advanced simulation software,was developed on the basis of MATLAB/Simulink and can rapidly analyze automobile power performance,fuel economy and emission performance.It is a better approach to cope with automobile power train match optimization by integrating ADVISOR's accurate simulation with Genetic Algorithtn's searching optimization with high efficiency.

关键词：汽车;顾问;汽车动力系统;多目标优化

查看摘要 索取原文[4页]

关键词：汽车；乘员保护；汽车座椅；安全

查看摘要 索取原文[29页]

Vehicle power train plays an important role to develop the energy efficient and reduce fuel consumption.In this paper,the drive train fuzzy controller structure and the fuzzy logic control strategies of parallel hybrid vehicles is presented.Simulation results illustrate the potential of the proposed controller and control strategy in terms of fuel economy and in keeping the deviations of SOC at a low level.

关键词：汽车；并联式混合动力电动汽车；动力传动系统模糊控制器的结构；模糊逻辑控制策略

查看摘要 索取原文[5页]