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351.
Identification of vehicle sensor locations for link-based network traffic applications 总被引:1,自引:0,他引:1
Shou-Ren Hu Srinivas Peeta Chun-Hsiao Chu 《Transportation Research Part B: Methodological》2009,43(8-9):873-894
Information on link flows in a vehicular traffic network is critical for developing long-term planning and/or short-term operational management strategies. In the literature, most studies to develop such strategies typically assume the availability of measured link traffic information on all network links, either through manual survey or advanced traffic sensor technologies. In practical applications, the assumption of installed sensors on all links is generally unrealistic due to budgetary constraints. It motivates the need to estimate flows on all links of a traffic network based on the measurement of link flows on a subset of links with suitably equipped sensors. This study, addressed from a budgetary planning perspective, seeks to identify the smallest subset of links in a network on which to locate sensors that enables the accurate estimation of traffic flows on all links of the network under steady-state conditions. Here, steady-state implies that the path flows are static. A “basis link” method is proposed to determine the locations of vehicle sensors, by using the link-path incidence matrix to express the network structure and then identifying its “basis” in a matrix algebra context. The theoretical background and mathematical properties of the proposed method are elaborated. The approach is useful for deploying long-term planning and link-based applications in traffic networks. 相似文献
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The maneuvering models of motorcycles in previous studies often considered motorcycles' traveling in terms of movements in a physical static lane and not in terms of dynamic virtual lane‐based movements. For that reason, these models are not able to imitate motorcyclists' behavior well. This paper proposes a maneuverability model framework for motorcycles in queues at signalized intersections with considering the dynamic motorcycle's lane. The model includes (i) a dynamic motorcycle's lane to identify the current, left, and right lanes of the subject motorcycle, (ii) a threshold distance to determine when a motorcyclist starts to consider maneuvering, (iii) a lane selection model to identify the lane preferred by a motorcyclist, and (iv) a gap acceptance model to describe whether or not the lead and lag gaps are acceptable for maneuvering. The model framework captures the variation across the motorcyclist population and over time observations. The models were applied to Hanoi and Hochiminh city, Vietnam, based on microscopic data collected from video images. All of the parameters were estimated using the maximum likelihood method with the statistical estimation software GAUSS. The results show that 77.88% of the observed maneuvers – either staying in the current lane or turning left or right – could be modeled correctly by the proposed models. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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以某车型的车身地板模型为例,利用有限元分析软件HyperWorks中的HyperMesh模块对车身地板进行网格划分,运用Optistruct模块对其进行模态分析,分析其固有频率及振型。目的是为了使汽车的结构在设计中尽量避免共振和噪声,加强其稳定性和安全性,也为实际生产提供了参考和依据。 相似文献
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以重庆市金佛山风景名胜区为研究区域,应用风景名胜区景观价值评价体系、基于层次分析法和景观综合评价指数法相结合的风景名胜区景观价值评价方法,以自然景观价值、名胜古迹价值、特色建筑价值、民俗风物价值4个准则层为基础,分别选取相应的25个一级指标、77个二级指标,对金佛山景区景观资源进行综合评价.根据层次分析法,结合最大隶属... 相似文献
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节点定位是无线传感器网络中的关键技术之一.基于无线传感器网络中DV-HOP定位算法分析的基础上,提出了一种改进算法.该算法通过RSSI测距技术测量点到点的距离,并在多跳网络中对累加距离进行广播,最后在节点位置估计过程中引入了加权质心算法进行定位.实验结果表明,改进后算法复杂度低,定位精度有明显的提高. 相似文献
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船舶列队是未来水路运输的重要方式。分析船舶列队协同控制的特点和原理;从船−岸协同交互、列队控制模型、列队运动控制、列队典型应用等4个方面分别进行现状分析与梳理。总结当前船舶列队控制技术瓶颈,包括人机共驾控制、列队控制运动不确定性建模、列队协同控制一致性、通信受限下船舶列队鲁棒控制及一致性控制等。最后,指出未来的船舶列队协同控制发展,应重点解决基于数据驱动与机理融合的列队运动建模、基于生物群体机制的船舶列队控制、基于分层控制的船舶列队控制等关键问题。 相似文献