浅谈微控制动在我国的应用

通过介绍微控自动式制动技术和微控直通式制动技术在我国轨道车辆上的应用,对其各自的特点进行 了分析,提出了我国轨道车辆选用微控自动式制动技术和微控直通式制动技术的建议。     

The Dutch mobility panel: Experiences and evaluation

The aim of this paper is to give an overview of the history and research experiences of the Dutch National Mobility Panel. Attention is given to the sampling strategy, the policy goals, and the representativity of the panel. It also tries to evaluate the research outcomes in terms of the original objectives and in view of more general research and policy goals. In sections one and two, a historic overview is given, starting from the first ideas to implement a longitudinal research instrument in transportation planning. In section three, some attention is devoted to longitudinal versus cross-sectional analyses. In section four, the sample design is treated in some detail. Next, various forms of bias are discussed that affect the representativity of the panel. In the sixth section, an overview is given of the research conducted with the data. Some conclusions are given in the final section.     

广域虚拟群用户呼叫的实现方法

广域虚拟群是为了满足不同客户群的需求而开发的一种业务，在公网上通过软件方法实现虚拟PBX功能，将跨交换局和跨城市的CENTREX群、PBX客户、单机客户组成一个虚拟群。虚拟群内客户间采用短号呼叫，如3位或4位；呼叫群外客户先拨出群字冠，如9或0，再拨对方号码；虚拟群外客户呼叫虚拟群内的客户直拨7位或8位号码。虚拟群内客户间呼叫资费可根据国家相关政策给予一定优惠，减少企业运营、维护费用。     

Transport demand model estimation from traffic counts

Many problems in transport planning and management tasks require an origindestination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or roadside interviews, tend to be costly, labour intensive and time disruptive to trip makers. Therefore, the use of low cost and easily available data is particularly attractive.The need of low-cost methods to estimate current and future O-D matrices is even more valuable in developing countries because of the rapid changes in population, economic activity and land use. Models of transport demand have been used for many years to synthesize O-D matrices in study areas. A typical example of this is the gravity model; its functional form, plus the appropriate values for the parameters involved, is employed to produce acceptable matrices representing trip making behaviour for many trip purposes and time periods.The work reported in this paper has combined the advantages of acceptable travel demand models with the low cost and availability of traffic counts. Three types of demand models have been used: gravity (GR), opportunity (OP) and gravity-opportunity (GO) models. Three estimation methods have been developed to calibrate these models from traffic counts, namely: non-linear-least-squares (NLLS), weighted-non-linear-least-squares (WNLLS) and maximumlikelihood (ML).The 1978 Ripon (urban vehicle movement) survey was used to test these methods. They were found to perform satisfactorily since each calibrated model reproduced the observed O-D matrix fairly closely. The tests were carried out using two assignment techniques, all-or-nothing and the stochastic method due to Burrell, in determining the routes taken through the network.requests for offprints     

Estimating intersection O-D matrices from observed time-series of traffic counts: The zellner estimator

The problem of estimating intersection O-D matrices from input and output time-series of traffic counts is considered in this paper. Because of possible existence of significant correlation between the error terms across structural equations forming the O-D matrices, the seemingly unrelated estimator (Zellner estimator) was suggested. Estimation results showed evidence of strong correlation between error terms across-equations. Generally, the Zellner estimator produced more efficient estimates than did the ordinary least-squares estimator. Furthermore, the Zellner estimator satisfied all constraints and reproduced turning movements comparable to the actual ones.     

Container shipping in 1990

By 1990 express shuttle container ships will dominate the USA/North European and USA/Pacific trades. The pattern is already apparent in the Pacific. These will touch only a few ports such as Halifax, New York and Virginia on the Atlantic and Los Angeles/Long Beach, Oakland and Seattle/Tacoma in the West. Their low costs and good services will capture over 80% of available general cargo. Round the world systems will be left with lucrative fringe business in the Mediterranean, US Gulf/South Atlantic, Singapore, India and Arab countries.

Progress will be sensitive to twelve trends. Most important of these will be labour resistance and management concerns about rapid obsolescence of ships and terminals. Rail and ship costs have been rationalized and are not as flexible as terminal costs. The ultimate terminal will consume about one third of the time and money presently needed.

This paper is chiefly intended to suggest a forecasting methodology.     

Forecasting telecommuting

Transportation planners increasingly recognize telecommuting as an important trend. But while they often advocate telecommuting as a transportation demand management strategy, transportation planners have made little progress toward incorporating telecommuting into transportation forecasts, at least partly because of the limited data available. In this paper we explore four alternative methodologies for forecasting telecommuting and discuss the kinds of data that must be collected before these methodologies can be applied. The first approach is trend extrapolation, using curves of technological substitution. Sufficient data are currently available to produce forecasts, albeit highly uncertain forecasts, using this approach. However, even with better data this approach does not address underlying factors and trends that will affect the future of telecommuting. As a result, we explore three additional approaches that should produce more reliable forecasts but which require new data and knowledge about telecommuting: analyzing the characteristics of telecommuters in contrast to nontelecommuters, analyzing factors affecting the individual choice to telecommute, and incorporating telecommuting into traditional transportation forecasting models.     

Use of duration models for predicting vehicular delay at a US/Canadian border crossing

Delays caused by congestion at the US/Canadian border crossing between Washington state and British Columbia have underscored the need for some sort of intervention. One obvious congestion-mitigation measure would be to estimate delay times and then relay this information to motorists so that they could select among alternative border crossing sites, or delay their trips. This paper applies duration models to estimate vehicular delay and demonstrates the usefulness of such models as a basis for a fully automated motorist information system. The paper also explores the flexibility of duration models, in providing estimates of vehicle delay, by using alternate parametric forms and assessing prediction accuracy.     

New security measures for the international shipping community

On 1 July 2004 the new maritime security regulatory regime set out in the International Convention for the Safety of Life at Sea (SOLAS), 1974 as amended, namely the new chapter XI-2 on Special measures to enhance maritime security and the International Ship and Port Facility Security (ISPS) Code entered into force only 18 months after adoption by the SOLAS Conference in December 2002. Following the devastating terrorist acts of 11 September 2001 in the United States, the international community recognised the need to protect the international maritime transport sector against the threat of terrorism. IMO responded swiftly and firmly by developing these new requirements, which represent the culmination of co-operation between Governments, Government agencies, local administrations and shipping and port industries.