排序方式: 共有29条查询结果,搜索用时 15 毫秒
21.
22.
23.
24.
Previous research has combined automated fare-collection (AFC) and automated vehicle-location (AVL) data to infer the times and locations of passenger origins, interchanges (transfers), and destinations on multimodal transit networks. The resultant origin–interchange–destination flows (and the origin–destination (OD) matrices that comprise those flows), however, represent only a sample of total ridership, as they contain only those journeys made using the AFC payment method that have been successfully recorded or inferred. This paper presents a method for scaling passenger-journey flows (i.e., linked-trip flows) using additional information from passenger counts at each station gate and bus farebox, thereby estimating the flows of non-AFC passengers and of AFC passengers whose journeys were not successfully inferred.The proposed method is applied to a hypothetical test network and to AFC and AVL data from London’s multimodal public transit network. Because London requires AFC transactions upon both entry and exit for rail trips, a rail-only OD matrix is extracted from the estimated multimodal linked-trip flows, and is compared to a rail OD matrix generated using the iterative proportional fitting method. 相似文献
25.
26.
The Macroscopic Fundamental Diagram (MFD) has been recognized as a powerful framework to develop network-wide control strategies. Recently, the concept has been extended to the three-dimensional MFD, used to investigate traffic dynamics of multi-modal urban cities, where different transport modes compete for, and share the limited road infrastructure. In most cases, the macroscopic traffic variables are estimated using either loop detector data (LDD) or floating car data (FCD). Taking into account that none of these data sources might be available, in this study we propose novel estimation methods for the space-mean speed of cars based on: (i) the automatic vehicle location (AVL) data of public transport where no FCD is available; and (ii) the fused FCD and AVL data sources where both are available, but FCD is not complete. Both methods account for the network configuration layout and the configuration of the public transport system. The first method allows one to derive either uni-modal or bi-modal macroscopic fundamental relationships, even in the extreme cases where no LDD nor FCD exist. The second method does not require a priori knowledge about FCD penetration rates and can significantly improve the estimation accuracy of the macroscopic fundamental relationships. Using empirical data from the city of Zurich, we demonstrate the applicability and validate the accuracy of the proposed methods in real-life traffic scenarios, providing a cross-comparison with the existing estimation methods. Such empirical comparison is, to the best of our knowledge, the first of its kind. The findings show that the proposed AVL-based estimation method can provide a good approximation of the average speed of cars at the network level. On the other hand, by fusing the FCD and AVL data, especially in case of sparse FCD, it is possible to obtain a more representative outcome regarding the performance of multi-modal traffic. 相似文献
27.
根据某电动汽车的计算参数,文章在理论研究的基础上,对驱动电机、动力电池、传动系统和轮胎进行了参数匹配。基于AVL Cruise建立了整车性能仿真模型,继而对该款电动汽车整车进行了动力性和经济性模拟仿真分析。通过仿真验证了该款汽车动力性指标和经济性指标均符合要求,且验证了其动力系统理论匹配和经济性分析方法的合理性。 相似文献
28.
文章基于混合动力汽车的整车参数,结合其动力性和经济性要求,对动力系统主要元件进行了型号选择与参数匹配。在AVL CRUISE软件环境中搭建整车模型,进行信号连接,搭建控制策略。建立满负荷加速测试,稳态行驶测试,爬坡度测试,循环工况测试共四个计算任务,比照前期设定的期望达到的目标进行简单地分析,证明了文章所设计的混联式混合动力汽车的性能是符合标准的。 相似文献
29.
单程时间(ST)是编制公交运营计划的重要参数,而国内公交企业对此普遍重视不足,多采用公司统一而非针对不同线路的时段标准,由调度人员凭借经验设置参数值,致使其无法反映现实状况,运营服务准点率低下.为此,本文提出一个基于车辆定位(AVL)数据的ST设置方法.其基本思路是:首先通过分析大量AVL数据中的实际单程时间样本,划分“同运营时间(HRT)时段”,并建立“单程分布知识库”;然后采用候车时间优化模型,计算各HRT时段中的ST参数取值;最后,对ST参数进行仿真验证和调整.对海口4路现实数据的实验显示,采用该方法设置ST参数有助于编制出高执行率和准点率的行车方案. 相似文献