轿车加速行驶声辐射模型及其应用

论述了轿车加速行驶噪声的原理,推导了轿车与地面间声场的声学模型。对于建立的轿车加速行驶噪声的声辐射理论预测模型进行了实验验证,得到了令人满意的结果。     

计算机辅助测量汽车加速通过噪声的研究

本文介绍了计算机辅助测量汽车通过噪声的方法，利用计算机多媒体技术可全面真实地再现汽车加速过程中的各种信息及其相互关系，为控制汽车加速噪声提供了强有力的技术支持。     

丰田佳美轿车巡航(定速)控制系统的维修

介绍了日本丰田佳美轿车巡航（定速）控制系统的结构与原理。该系统通常具有巡航（定速）、惯性滑行、恢复车速、加速及点动增（减）速等功能。阐述了该系统代码故障的维修及未显示故障症状时的维修。     

基于ADAMS重型半挂车动荷载仿真分析

利用ADAMS/Car仿真软件建立了某重型半挂车模型,以綦江—万盛高速公路路面实测平整度数据为基础,用正弦曲线模拟路面,对车辆各轴车轮及不同车速和载重时的动荷载进行了仿真分析,同时对车辆模型在假定不同路面振幅和波长下的动荷载也进行了研究,为分析车辆与路面之间的相互作用提供参考价值。     

捷达轿车火花塞的失效分析

通常火花塞电极间隙在0.6mm～0.8mm，捷达轿车用电子点火取代了传统的分电器点火方式，并使用了闭磁路点火线圈，从而提高了点火能量，其点火间隙为1.0±0.1mm。介绍了捷达轿车火花塞的性能、常见失效形式及维修方法。     

Sociological perspectives on travel and mobilities: A review

There is increasing interest in understanding and achieving changes in travel behaviour, but a focus on individual behaviour change may overlook the potential for achieving change via transformation at the levels of institutions, cultures and societies – the domains of sociological inquiry. In this paper, we review sociological contributions to the literature on travel and ‘mobilities’. We summarise four key themes which supplement or contradict arguments made in mainstream transport debates on behaviour change. The first involves focusing on travel ‘practices’ as social entities with dynamics of their own, rather than on individual behaviours. The second relates to the changing natures of societies, and the implications for travel. The third explores and interprets the issue of car dependence in ways which highlight the ethical, experiential and emotional dimensions associated with car use, its symbolic role in societies increasingly concerned with consumption, and its differing roles within different cultures. Finally, the ‘new mobilities paradigm’ highlights issues such as the increasing links between travel and new technologies, and the primacy of social networks in influencing travel decisions. These themes emphasise the importance of understanding the broader contexts in which travel choices are made. In particular, the implication is that the creation of more sustainable travel patterns will require changes at a range of social levels, not simply in individual behaviours, and that changes to transport will inevitably be linked with, and influenced by, broader changes in the values and practices developed by societies as a whole.     

Driving to save time or saving time to drive? The enduring appeal of the private car

Use of the private car is often viewed as highly problematic. It is regularly associated with global physical, social and ecological harms such as climate change and the high incidence of lifestyle diseases, including heart disease. Attempts to address these problems generally include provision for day-to-day physical mobility based on alternatives to the private car. Labelled alternative transport, these modes include public transport, walking and cycling. Yet the private car continues as the preferred way to travel in many cities. A deeper understanding of this preference can reveal under explored sites of resistance to alternative transport modes.This paper contributes to these understandings by examining the role the car as a time saving device plays in sustaining automobility. Its central proposition is that individual decisions to drive are not necessarily motivated by the desire to save time. The paper draws on empirical evidence on the journey to work in Australia’s largest city, Sydney. Using a systematic process of trip substitution analysis, a group of people were identified who could use alternative transport to get to work in the same amount of time it currently takes them to drive. These people then participated in a series of in-depth interviews where deeper attachments and motivations for private car use were explored.This approach has enabled development of the multi-layered understanding that informs the central proposition that individual decisions to drive are not necessarily motivated by the desire to save time. Instead, automobility is sustained by appeals to flexibility and autonomy, as well as the interminable pull of the sensory experience provided by the cocoon of the car. This way of thinking about resistance to alternative transport exposes a series of inconsistencies between the expectations of those planning for, and those anticipated to one day use, alternative transport.     

Trade-offs between mobility and equity maximization under environmental capacity constraints: A case study of an integrated multi-objective model

This paper investigates the performance of a policy decision tool proposed for multi-objective decision under different policy interventions. This tool deals with the trade-off between mobility and equity maximization under environmental capacity constraints. Two system objectives, maximization of mobility and equity, are formulated in terms of the sum of total car ownership and number of trips, and the differences in accessibility between zones. Environmental capacities are based on production efficiency theory in which the frontier emission under maximum system efficiency is taken as environmental capacity. To examine the performance of the proposed model, three types of hypothetical policies (network improvement, population increase and urban sprawl) are formulated. Effects are simulated using data pertaining to Dalian City, China. Results show that the proposed model is capable of representing the trade-offs between mobility and equity based on different policy interventions. Compared with two extreme cases with the single objective of mobility maximization or equity maximization, the Pareto-optimal solutions provide more interesting practical options for decision makers. Taking the solution based on the maximum equity as an example, the policy of urban sprawl yields the most significant improvement in both emission and accessibility of the three scenarios.     

Dynamic demand estimation and prediction for traffic urban networks adopting new data sources

Nowadays, new mobility information can be derived from advanced traffic surveillance systems that collect updated traffic measurements, both in fixed locations and over specific corridors or paths. Such recent technological developments point to challenging and promising opportunities that academics and practitioners have only partially explored so far.The paper looks at some of these opportunities within the Dynamic Demand Estimation problem (DDEP). At first, data heterogeneity, accounting for different sets of data providing a wide spatial coverage, has been investigated for the benefit of off-line demand estimation. In an attempt to mimic the current urban networks monitoring, examples of complex real case applications are being reported where route travel times and route choice probabilities from probe vehicles are exploited together with common link traffic measurements.Subsequently, on-line detection of non-recurrent conditions is being recorded, adopting a sequential approach based on an extension of the Kalman Filter theory called Local Ensemble Transformed Kalman Filter (LETKF).Both the off-line and the on-line investigations adopt a simulation approach capable of capturing the highly nonlinear dependence between the travel demand and the traffic measurements through the use of dynamic traffic assignment models. Consequently, the possibility of using collected traffic information is enhanced, thus overcoming most of the limitations of current DDEP approaches found in the literature.     

Changes in fuel economy: An analysis of the Spanish car market

This paper estimates the role that technological change and car characteristics have played in the rate of fuel consumption of vehicles over time. Using data from the Spanish car market from 1988 to 2013, we estimate a reduced form equation that relates fuel consumption with a set of car characteristics. The results for the sales-weighted sample of vehicles show that energy efficiency would have improved by 30% and 42% for petrol and diesel cars respectively had car characteristics been held constant at 1988 values. However, the shift to bigger and more fuel-consuming cars reduced the gains from technological progress. Additionally, using the results of the fuel equation we show that, besides a natural growth rate of 1.1%, technological progress is affected by both the international price of oil and the adoption of mandatory emission standards. Moreover, according to our estimations, a 1% growth in GDP would modify car characteristics in such a way that fuel consumption would increase by around 0.23% for petrol cars and 0.35% for diesel cars.