汽车维修技术信息公开实施现状及展望

汽车保有量的不断增加激发了汽车维修行业的发展,汽车维修信息的不对称对汽车维修品质等产生了不利影响。因此,要求汽车生产企业公开维修技术信息是打破售后市场垄断,平衡汽车维修市场的首要开端。在政策及市场的双重推动下,全面推进汽车维修技术信息公开制度实施,为提高信息公开质量,增强维修品质,保障消费者利益,发展健康、健全的汽车售后体系打下坚实的基础。     

现代化维修设备在汽车钣金修复工艺中的应用探讨

随着汽车行业的快速发展,汽车钣金修复工艺变得越来越重要了。现代化维修设备的应用在汽车钣金修复工艺中具有关键作用。本文将探讨现代化维修设备在汽车钣金修复工艺中的应用,包括钣金校正、车身塑型、钣金喷漆等技术。同时,还将介绍现代化维修设备在汽车损伤诊断、车体矫正和焊接修整等方面的应用。通过本文的探讨,可以更加全面地了解现代化维修设备在汽车钣金修复工艺中的重要性和应用价值。     

高校“汽车医院”建设的必要性与可行性分析

现代的汽车像人一样,人有生病的时候,生病了要去医院就诊,汽车也有出故障的时候,那么出了故障及要去汽车修理厂进行维修。把现代汽车维修企业比作医院,在目前的汽修领域显的尤为恰当。把汽车维修企业与当今高等教育结合,让高等教育来辅助车辆维修技术,让车辆维修技术更好的融入高等教育教学实践当中,由此,建立基于高校的“汽车医院”具有强烈的必要性和健康的可行性。这一概念对于高校汽车运用技术专业具有十分重要的意义,它不仅能够为高校本身争取社会效益,更能让学生在校提早接触到汽车维修一线,得到锻炼和宝贵的工作经验,为以后走向工作岗位打下坚实的基础。     

高校“汽车医院”建设的必要性与可行性分析

现代的汽车像人一样,人有生病的时候,生病了要去医院就诊,汽车也有出故障的时候,那么出了故障及要去汽车修理厂进行维修。把现代汽车维修企业比作医院,在目前的汽修领域显的尤为恰当。把汽车维修企业与当今高等教育结合,让高等教育来辅助车辆维修技术,让车辆维修技术更好的融入高等教育教学实践当中,由此,建立基于高校的"汽车医院"具有强烈的必要性和健康的可行性。这一概念对于高校汽车运用技术专业具有十分重要的意义,它不仅能够为高校本身争取社会效益,更能让学生在校提早接触到汽车维修一线,得到锻炼和宝贵的工作经验,为以后走向工作岗位打下坚实的基础。     

浙江地区县一级维修行业发展对策

<正>当前,面对蓬勃发展的汽车维修市场,不少地方政府和企业雄心勃勃,欲结合本地区汽车保有量、汽车车型构成、汽车产业政策等具体情况,找出适应于现阶段本地区汽车维修企业的经营模式,以促进本地区汽车维修行业的健康发展。行业现状1.供需发展不协调目前,浙江县一级地区维修市场潜在需求快速增加,有效供给不足。潜在需求包括两个方面,首先是对现代维修技术与手段的     

汽车维修节能产业链研究

该项目将汽车维修活动按照完整的节能产业链进行规划、建设、管理及实施,采用高效运行机制、信息化管理手段、成熟维修工艺、节能设备设施等,提高了汽车维修企业的节能减排效果,技术成熟,处于国内领先水平。     

汽车维修职业资格的构建

在汽车维修职业资格的分类和构建原则的基础上,具体构建了汽车维修专业技术人员的执业资格和汽车维修技术操作人员职业资格.汽车维修职业资格的构建,有利于优化汽车维修行业的人力资源结构,提高汽车维修行业的服务质量和管理水平,从源头上加强行业管理,规范汽车维修业的市场秩序.     

百色市汽车维修市场发展探讨

汽车维修行业作为道路运输行业的重要组成部分,有利于推动社会、经济的发展。文章针对百色市汽车维修市场现状,分析该市汽车维修市场存在问题及原因,探讨了该市维修市场发展对策。     

整顿汽车维修市场秩序净化市场环境

针对青海某运输集团公司2006年"4.14"特大道路交通运输事故暴露出来的我省汽车维修市场存在的无证经营、占道维修、使用假冒伪劣配件、倒卖维修竣工出厂合格证等突出问题,结合七个月来本省各级运管机构如何采取有效措施,深入开展汽车维修市场整顿工作,进行客观总结和评价,提出一些问题和建设性的意见.     

新时期汽车修理中的绿色维修技术分析

当前,我国号召广大汽车企业实现高效生产、节能环保的生产理念。基于此,与汽车生产行业息息相关的汽车修理行业也应该进行优化升级。本文首先分析了绿色维修技术的含义与分类。然后,分析了绿色维修技术应用的意义,包括实现绿色可持续性发展、提高汽车维修企业的竞争力、实现资源回收和再利用。最后,本文阐述了汽车绿色维修技术的具体应用,包括绿色诊断技术、快速维修技术、热喷技术、绿色内窥镜技术。在绿色工程当中,绿色维修技术是一个非常重要的组成部分,使汽车维修可以具有更高的合理性。通过研究,本文旨在更加高效的运用各类资源,实现资源优化。     

Travel attitudes and mode use among Asian international students at an Australian university

International students and immigrants in general are fuelling the growth in Australia’s population and the pressure that is putting on its urban transport systems. Yet, we know very little about their travel habits and limited previous research has been previously undertaken to address this gap. To address this research need, this study draws on a survey that was designed and distributed online and on-campus to students at Australia’s largest university (Monash University). Using multivariate statistical tools including factor analysis and multinomial logistic regression, significant differences were found between native-born Australian and Asian international students with regards to their mode perceptions, present travel habits and socio-demographics. For Asian students, attitudes towards non-car mode decrease and car-dependency increases the longer they reside in Australia. The findings of this research further highlight the need to encourage newer immigrants to use more sustainable travel options and highlight the relevance for local government and policy planners to support further research in this area, given that these international students have the potential to be key agents for travel behaviour change.     

Electric vehicles’ energy consumption measurement and estimation

Use of electric vehicles (EVs) has been viewed by many as a way to significantly reduce oil dependence, operate vehicles more efficiently, and reduce carbon emissions. Due to the potential benefits of EVs, the federal and local governments have allocated considerable funding and taken a number of legislative and regulatory steps to promote EV deployment and adoption. With this momentum, it is not difficult to see that in the near future EVs could gain a significant market penetration, particularly in densely populated urban areas with systemic air quality problems. We will soon face one of the biggest challenges: how to improve efficiency for EV transportation system? This research takes the first step in tackling this challenge by addressing a fundamental issue, i.e. how to measure and estimate EVs’ energy consumption. In detail, this paper first presents a system which can collect in-use EV data and vehicle driving data. This system then has been installed in an EV conversion vehicle built in this research as a test vehicle. Approximately 5 months of EV data have been collected and these data have been used to analyze both EV performance and driver behaviors. The analysis shows that the EV is more efficient when driving on in-city routes than driving on freeway routes. Further investigation of this particular EV driver’s route choice behavior indicates that the EV user tries to balance the trade-off between travel time and energy consumption. Although more data are needed in order to generalize this finding, this observation could be important and might bring changes to the traffic assignment for future transportation system with a significant share of EVs. Additionally, this research analyzes the relationships among the EV’s power, the vehicle’s velocity, acceleration, and the roadway grade. Based on the analysis results, this paper further proposes an analytical EV power estimation model. The evaluation results using the test vehicle show that the proposed model can successfully estimate EV’s instantaneous power and trip energy consumption. Future research will focus on applying the proposed EV power estimation model to improve EVs’ energy efficiency.     

船舶应变部署表的应用探讨

船舶应变部署表是在紧急情况下保障船舶和人员安全的应急计划,对于保障航行安全和海洋清洁有着重要的作用和意义。文章介绍了国际公约和国内法律对船舶应变部署表的相关规定,阐述了应变部署表的填写规则,分析了应变部署表与船舶安全的关系,并针对船舶安检中发现的应变部署表的常见缺陷,提出了相应的建议和对策。     

CAD在油管矫直辊设计中的应用

采用通用的三维造型软件,分析了矫直辊在油管矫直过程中存在的问题,在矫直辊与油管倾斜角调整范围内,油管在矫直辊工作段的接触区段均达不到工作需求。通过切除法设计出新的矫直辊辊型,并对其工作过程进行了理论验证,得到了油管在该矫直辊上的接触情况,进一步将辊型进行二维输出,利用Matlab拟合出该矫直辊辊型的曲线方程,便于制造加工。实践证明,该矫直辊完全满足工作要求。     

漠大线多年冻土灾害风险分析及管理措施探讨

漠大线途径国内纬度最高、极端温度-52.3℃的高寒地带,是国内第一条完全意义上穿越永冻土区域的大口径长输管道,所经过的漠河至加格达奇大杨树段共计440 km的管道穿越大兴安岭多年冻土区域,包括连续冻土、不连续冻土和岛状冻土。管道沿线地势北高南低,北部地形起伏较大,沿线为大兴安岭低山、丘陵及河谷地貌,南部为松嫩平原,地形平坦开阔,地理环境复杂,极易发生冻胀融沉、崩塌、热融滑坡、水毁冲蚀（坍岸）等地质灾害。文中首先对漠大线的具体情况进行了简单介绍,并结合地质勘察和运营情况详细地分析了穿越冻土区域管道所面临的热融滑坡、冻胀、融沉以及弯曲翘曲等特有地质灾害,最后结合管道管理实际情况和工作经验提出了详细的灾害管理和应对措施。     

Evaluation of green wave policy in real-time railway traffic management

In order to face the expected growth of transport demand in the next years, several new traffic control policies have been proposed and analyzed both to generate timetables and to effectively manage the traffic in real-time. In this paper, a detailed optimization model is used to analyze one such policy, called green wave, which consists in letting trains wait at the stations to avoid speed profile modifications in open corridors. Such policy is expected to be especially effective when the corridors are the bottleneck of the network. However, there is a lack of quantitative studies on the real-time effects of using this policy. To this end, this work shows a comparison of the delays obtained when trains are allowed or not to change their speed profile in open corridors. An extensive computational study is described for two practical dispatching areas of the Dutch railway network.     

Recognizing metro-bus transfers from smart card data

Transfer points between metro and bus services remain an elusive, yet critical junction for transportation practitioners. Based on massive Smart Card (SC) data, previous studies apply a one-size-fits-all criterion to discriminate between transfers. However, this is not sufficiently convincing for different transfer pairs. To counter this problem, this study applies an association rules algorithm and cluster analysis to recognize metro-to-bus transfers using SC data, and demonstrates transfer recognition in a case study based on SC data collected during a week in Nanjing, China. It is shown that 85% of the transfer-recognition results are quite stable through the whole week, and the median transfer time between metro and bus is below 20?min. The method proposed in this study can be used to identify the busiest transfer points and to obtain average transfer times, which facilitates a smarter and more efficient public transit network.     

Deficiencies in accident record systems

As part of the continuous process of improving highway safety, the engineer relies heavily on information provided by accident record systems. The study described in this paper sought to determine the reliability of this system in New Mexico. Techniques employed in the study included internal consistency checks, comparison with other record systems, and matching actual and reported crash site data. The extent of omitted and inaccurate data having primary relevance to engineering analyses was found to exceed acceptable limits. Incorrect locational information was the most serious problem. The recommended solutions to this problem consist of a modified accident report form and improved contact with enforcement officials.     

Mapping evacuation risk on transportation networks using a spatial optimization model

The focus of this paper is on the development of a methodology to identify network and demographic characteristics on real transportation networks which may lead to significant problems in evacuation during some extreme event, like a wildfire or hazardous material spill. We present an optimization model, called the critical cluster model, that can be used to identify small areas or neighborhoods which have high ratios of population to exit capacity. Although this model in its simplest form is a nonlinear, constrained optimization problem, a special integer-linear programming equivalent can be formulated. Special contiguity constraints are needed to keep identified clusters spatially connected. We present details on how this model can be solved optimally as well as discuss computational experience for several example transportation networks. We describe how this model can be integrated within a GIS system to produce maps of evacuation risk or vulnerability. This model is now being utilized in several research projects, in Europe and the US.     

The influence of quality and price on the demand for urban transport: the case of university students

The aim of this work is to estimate a transport demand function for university students in the Bilbao area and to obtain the main variables that condition this demand. To do this, we use a nested logit model. First, we estimate price and time elasticities, and second the potential effects of changing the available supply of public transport in order to draw new collective transport users away from private vehicles.