全文获取类型
收费全文 | 226篇 |
免费 | 5篇 |
专业分类
公路运输 | 55篇 |
综合类 | 53篇 |
水路运输 | 36篇 |
铁路运输 | 48篇 |
综合运输 | 39篇 |
出版年
2022年 | 5篇 |
2021年 | 4篇 |
2020年 | 3篇 |
2019年 | 3篇 |
2018年 | 15篇 |
2017年 | 7篇 |
2016年 | 8篇 |
2015年 | 7篇 |
2014年 | 23篇 |
2013年 | 20篇 |
2012年 | 12篇 |
2011年 | 21篇 |
2010年 | 9篇 |
2009年 | 10篇 |
2008年 | 8篇 |
2007年 | 17篇 |
2006年 | 14篇 |
2005年 | 12篇 |
2004年 | 2篇 |
2003年 | 7篇 |
2002年 | 2篇 |
2001年 | 2篇 |
2000年 | 4篇 |
1999年 | 2篇 |
1996年 | 4篇 |
1995年 | 1篇 |
1994年 | 3篇 |
1993年 | 4篇 |
1992年 | 1篇 |
1991年 | 1篇 |
排序方式: 共有231条查询结果,搜索用时 15 毫秒
1.
浅谈青藏线转辙设备的养护与维修 总被引:1,自引:0,他引:1
本文根据CTS2轨枕式转辙机本身的特点以及青藏铁路的管理模式,从养护、维修的角度,简要说明了CTS2轨枕式转辙机需要的养护工作量、故障处理方法、维修特点及在施工中要注意的问题。 相似文献
2.
Andrew J. Pick David J. Cole 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2007,45(9):781-805
The article reports an experimental study of driver steering control behaviour in a lane-change manoeuvre. Eight test subjects were instrumented with electromyography to measure muscle activation and co-contraction. Each subject completed 30 lane-change manoeuvres with one vehicle on a fixed-base driving simulator. For each driver, the steering torque feedback characteristic was changed after every ten manoeuvres; the response of the vehicle to steering angle inputs was not changed. Drivers' control strategies were found to be robust to changes in steering torque feedback. Path-following errors, muscle activity and muscle co-contraction all reduce with the number of lane-changes performed by the driver, suggesting the existence of a learning process. Comparing the test subjects, there was some evidence that high levels of co-contraction were used to allow high-frequency steering inputs to be generated. The results contribute to the understanding of vehicle-driver (and more generally, human-machine) dynamic interaction. 相似文献
3.
智能化冲洗是解决电气化铁路绝缘子人工冲洗弊端的有效途径,而智能化冲洗的关键在于绝缘子识别、定位。通过对现有智能冲洗设备的分析,提出一种铁路绝缘子定位、跟踪方法,该方法基于传感器信息,采用启发式Q(λ)学习算法,可快速、准确找到绝缘子。首先建立铁路绝缘子水冲洗环境模型,接着为解决传统Q(λ)学习算法盲目学习导致收敛速度慢的问题,通过搜索支柱特征调整奖赏函数,设计启发式策略函数并融入Q(λ)学习中,提高算法的学习和收敛速度。最后分别对传统Q(λ)学习算法和启发式Q(λ)学习算法进行Matlab仿真实验,确定最佳参数设置,仿真结果表明启发式Q(λ)算法的正确性和可行性。 相似文献
4.
5.
6.
7.
Reliable travel behavior data is a prerequisite for transportation planning process. In large tourism dependent cities, tourists are the most dynamic population group whose size and travel choices remain unknown to planners. Traditional travel surveys generally observe resident travel behavior and rarely target tourists. Ubiquitous uses of social media platforms in smartphones have created a tremendous opportunity to gather digital traces of tourists at a large scale. In this paper, we present a framework on how to use location-based data from social media to gather and analyze travel behavior of tourists. We have collected data of about 67,000 users from Twitter using its search interface for Florida. We first propose several filtering steps to create a reliable sample from the collected Twitter data. An ensemble classification technique is proposed to classify tourists and residents from user coordinates. The accuracy of the proposed classifier has been compared against the state-of-the-art classification methods. Finally, different clustering methods have been used to find the spatial patterns of destination choices of tourists. Promising results have been found from the output clusters as they reveal most popular tourist spots as well as some of the emerging tourist attractions in Florida. Performance of the proposed clustering techniques has been assessed using internal clustering validation indices. We have analyzed temporal patterns of tourist and resident activities to validate the classification of the users in two separate groups of tourists and residents. Proposed filtering, identification, and clustering techniques will be significantly useful for building individual-level tourist travel demand models from social media data. 相似文献
8.
9.
In this research, a Bayesian network (BN) approach is proposed to model the car use behavior of drivers by time of day and to analyze its relationship with driver and car characteristics. The proposed BN model can be categorized as a tree-augmented naive (TAN) Bayesian network. A latent class variable is included in this model to describe the unobserved heterogeneity of drivers. Both the structure and the parameters are learned from the dataset, which is extracted from GPS data collected in Toyota City, Japan. Based on inferences and evidence sensitivity analysis using the estimated TAN model, the effects of each single observed characteristic on car use measures are tested and found to be significant. The features of each category of the latent class are also analyzed. By testing the effect of each car use measure on every other measure, it is found that the correlations between car use measures are significant and should be considered in modeling car use behavior. 相似文献
10.
介绍了DSP6711的硬件特性和烧结机尾断面图像检测、识别的原理及算法的选型,并运用基于DCT变换域的LDA特征的提取方法,实现了烧结机尾断面图像的自动识别.系统的实际运行是稳定和有效的. 相似文献