反光热熔标线现场施工工艺与质量控制

较详尽的论述了热熔标线的现场施工工艺与流程,提出了相关质量控制方法．分析质量缺陷的产生原因,提出了有效的防治措施。     

柴油机的性能优势与发展方向

本文阐述了柴油机相对汽油机的性能优势;发动机柴油化的发展现状;现阶段车用柴油机的技术研究;以及柴油机电控技术、排放控制等的应用研究发展趋势。     

浅析摩托车轮胎工艺及质量控制(1)

轮胎是摩托车上最关键的零部件之一,其质量的好坏、工艺是否受控,直接影响人车的行驶安全.因此,掌握轮胎的工艺过程和质量控制,对提高摩托车行驶安全性、可靠性及主机厂技术人员分析能力有着重要的指导意义.     

基于中国人体形特征的行人假人缩放方法

结合中国人体形特征和假人缩放方面的研究成果,提出了基于受害人体形特征的行人数字仿真假人快速定制方法。该方法通过交互式程序,只需输入受害人的身高和人体质量信息,就可以快速生成多刚体假人模型。文中还以一起真实的事故案例为例,研究了假人体形参数对仿真结果的影响,结果显示假人体形参数对事故再现结果的影响不容忽略,尤其是要注意假人的几何尺寸方面,而对于人体质量误差的要求则可适当放宽。     

汽车发动机故障诊断与检修探索

目前汽车发动机也开始应用电子技术进行控制,所以电控发动机的故障诊断和检修技术和水平也有较大的进步,然而发动机发生的故障可能会格外抽象和复杂,维修人员应该要具有发动机维修和诊断的技术,同时根据时代的变化,及时掌握现代化的新技术,从而确保汽车发动机能够正常运行,提高汽车的使用寿命。文章就汽车发动机故障诊断和检修进行分析和探索。     

浅析射频识别技术在汽车上的应用

射频识别技术RFID最早可以追溯到上世纪五十年代,至今已有超过七十年的历史,RFID兼具高效、实时、简易等特点被广泛应用于交通运输、零售业、物流、门禁安保等各领域,回首看去射频识别技术依然如火如荼,很多领域应用有待继续深究与开发。本文主要从汽车防盗技术角度,分射频识别技术、无钥匙进入及启动系统、故障分析三个维度进行简要阐述。     

现代汽车维修特征与改善措施分析

随着时代的不断推进,科技的发展日新月异,我国的经济有了很大的发展。在经济的发展过程中,我国的汽车工业也快速发展起来。但是我国目前的汽车工业发展和汽车工业较强的国家相比,还有很大的差距,所以,在当前的时代发展过程中,汽车工业还需要不断的进行探索和改革,缩小与发达国家的差距,不断发展汽车工业,实现对人民生活水平的进一步提高。因此,我们需要从目前现代汽车的发展状况进行分析,选择适合当前汽车工业发展进步的方法,不断对汽车工业进行发展,提高汽车工业的发展水平,更加便利人们的生活。     

豪华车具有的尺寸工程特征

随着今年参加北京车展的豪华车逐渐增多,豪华车型可谓悉数尽出.在看了这么多豪华车之后,它的定义是什么呢,具有哪些吸引人的特征?当然,豪华车价钱这么贵,吸引人的地方肯定不是单一的,维度很多.基于本文的了解,主要从豪华车的外观品质探讨其尺寸工程特征.     

发动机连杆工艺设备选型的可拓评价研究

针对某发动机企业的连杆生产线设备选型决策问题,应用可拓学的优度评价方法建立了设备选型的非线性多指标决策模型,构建了评价指标体系,对发动机连杆工艺设备方案从技术、经济、生态环境、安全健康等方面进行了综合评价,并根据评价结果进行了设备方案的选择。实际应用表明,采用基于可拓理论的评价模型解决生产线成套设备的选型问题是可行的。     

A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services

Major technological and infrastructural changes over the next decades, such as the introduction of autonomous vehicles, implementation of mileage-based fees, carsharing and ridesharing are expected to have a profound impact on lifestyles and travel behavior. Current travel demand models are unable to predict long-range trends in travel behavior as they do not entail a mechanism that projects membership and market share of new modes of transport (Uber, Lyft, etc.). We propose integrating discrete choice and technology adoption models to address the aforementioned issue. In order to do so, we build on the formulation of discrete mixture models and specifically Latent Class Choice Models (LCCMs), which were integrated with a network effect model. The network effect model quantifies the impact of the spatial/network effect of the new technology on the utility of adoption. We adopted a confirmatory approach to estimating our dynamic LCCM based on findings from the technology diffusion literature that focus on defining two distinct types of adopters: innovator/early adopters and imitators. LCCMs allow for heterogeneity in the utility of adoption for the various market segments i.e. innovators/early adopters, imitators and non-adopters. We make use of revealed preference (RP) time series data from a one-way carsharing system in a major city in the United States to estimate model parameters. The data entails a complete set of member enrollment for the carsharing service for a time period of 2.5 years after being launched. Consistent with the technology diffusion literature, our model identifies three latent classes whose utility of adoption have a well-defined set of preferences that are significant and behaviorally consistent. The technology adoption model predicts the probability that a certain individual will adopt the service at a certain time period, and is explained by social influences, network effect, socio-demographics and level-of-service attributes. Finally, the model was calibrated and then used to forecast adoption of the carsharing system for potential investment strategy scenarios. A couple of takeaways from the adoption forecasts were: (1) placing a new station/pod for the carsharing system outside a major technology firm induces the highest expected increase in the monthly number of adopters; and (2) no significant difference in the expected number of monthly adopters for the downtown region will exist between having a station or on-street parking.