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151.
运输管理信息系统中车辆配载研究   总被引:5,自引:0,他引:5  
提出货运优化调度中车辆配载所需的专家知识和策略,考虑一站零整车配载、货物配装优先级、同等优先级货物装车次序和危险品配装问题。建立了重量、体积和货物不规则性约束下的配装专家系统模型,给出详细的配载专家系统规则。采用VB和SQL编程实现运输管理信息系统,采用深圳市的某大型货运中心的实际数据进行试验,试验结果显示该方法合理可行。  相似文献   
152.
随着运输结构调整的不断深入,"公转铁"运量持续增加,我国铁矿石运输发展对铁路货运增量具有重要意义.阐述我国铁矿石市场产需运现状,分析铁矿石铁路运输情况,针对当前铁路铁矿石运输存在的问题,提出我国铁路铁矿石运输发展对策措施,即:加强港口后方通道衔接,提高海铁联运比重;推进企业专用线建设,强化铁路"门到门"服务;积极推进"...  相似文献   
153.
介绍了肯尼亚蒙内铁路概况及线路特点,HGM-D型高摩合成闸瓦性能参数以及在蒙内铁路C70E、X70、NX70型货车上运用验证情况.验证表明HGM-D型高摩合成闸瓦有效降低车轮和闸瓦磨耗量以及闸瓦金属镶嵌物,提高了车辆运行品质和制动效能.  相似文献   
154.
为提升昆明局集团公司卸车能力,满足全路货运装车需求,阐述卸车能力影响因素,从系统角度构建铁路三级服务卸车系统,包括运输通道子系统、枢纽作业子系统与货运站点作业子系统.针对昆明局集团公司卸车能力紧缺的现状,分析各级服务子系统的能力,提出相应的能力提升措施,并分析其效果.经研究可知,通过实施运输组织优化、车流径路调整、货运...  相似文献   
155.
黄雄麟 《铁道货运》2021,(2):35-38,58
2020年初的新冠肺炎疫情对供应链上下游企业影响的波及,导致全社会货运量均受到不同程度的影响.在分析疫情对铁路货运量的影响基础上,针对货运总体需求下降、运输组织效率有待提高、营销激励机制有待加强等问题,通过畅通信息渠道、快速应对市场需求变化、建立"互利共赢"合作机制促进企业复工复产,通过加强运输组织、优化货运产品结构提...  相似文献   
156.
黄飞  何明 《船舶工程》2000,(3):58-60
采用医学上常用的圆分布法,以南京长江大桥水域为例,分析了一定水域内的船舶交通流量规律,证明此方法适用于船舶交通的定量管理。  相似文献   
157.
在连接两城市的多种运输方式间存着竞争、协作的关系,本文是通过设立两个虚拟转运地,构建交通运输网络图的方法,把运输方式间运量的转移问题转化为运输通道间运量的转移问题进行研究,综合分析当某种运输方式的运费或运行速度(即运行时间)发生变化时,各种运输方式承担客运量的变化情况,从而推理出各运输方式间的竞争性与协作性的相应结论,并给予证明和实例验证。  相似文献   
158.
This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision, geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises based on administrative units.
Elisabete A. SilvaEmail:

Luis M. Martínez   is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas   is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva   is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time.  相似文献   
159.
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e., self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components. The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
Chandra R. Bhat (Corresponding author)Email:

Erika Spissu   is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari   is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala   is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat   is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research.  相似文献   
160.
文章以科学发展观为理论基础,指出交通科学文明执法要适应社会发展的新要求,通过对玉林市交通科学文明执法所面临的问题进行分析,提出了推进交通科学文明执法的相关对策。  相似文献   
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