Lagrangian flow in the California Undercurrent, an observation and model comparison

During the period 1992–1998, 38 isobaric RAFOS floats were deployed to sample the subsurface flow of the California Undercurrent. The deployments, released over the California continental slope west of San Francisco, have sampled robust year-round poleward subsurface flow associated with the Undercurrent most seasons and the combined inshore current and Undercurrent in winter. Two other types of flow have been seen: a region of weak flow with little net displacement just west of the California Undercurrent, and an active westward propagating eddy field. This eddy field appears to be the primary mechanism for moving floats from the Undercurrent into the ocean interior. The observations and statistics from the RAFOS floats are compared with Lagrangian estimates of particles tracked in a global high resolution ocean simulation in order to evaluate the fidelity of the model along an eastern boundary. The results show that the model reproduces the general character of the flow reasonably well, but underestimates both the mean and eddy energies by a substantial amount.     

A moving bottleneck

Suppose that a vehicle or convoy enters a two-lane unidirectional roadway and travels at a velocity v^* less than the prevailing traffic. This moving bottleneck may cause a queue to form as vehicles try to pass the obstruction. It is shown that by going to a moving coordinate system traveling at velocity v^* the analysis of this can be transformed into a corresponding analysis of flow past a stationary bottleneck. The theory is then extended to investigate possible consequences of trucks on grades.     

Strategies for Serving Peak Elevator Traffic

—Suppose that in an office building of moderate height (5 to 20 floors) elevator traffic during peak periods is predominantly between a lobby floor and various upper floors. We compare the waiting plus riding time and the average number of passengers carried per trip for various strategies. In particular, if two (or more) elevators serve the same group of floors (a common strategy), the waiting plus riding time would typically be (slightly) less if one split the group into two parts and had each elevator serve separate parts of this group. The latter strategy would have considerably fewer passengers per trip. It may also be advantageous to have a single elevator serve different floors on successive trips. Seldom would it be advantageous for an elevator to serve more than 2 or 3 floors on any trip. If elevator systems used more efficient strategies during peak periods, buildings would not need as many elevators.     

An analysis of elevator operation in moderate height buildings—I: A single elevator

Approximate analytic methods are used to describe how the equilibrium trip time of an elevator depends upon the physical characteristics of the elevator, the passenger demand, and possible strategies of operation. The analysis is directed particularly toward elevators in buildings of moderate height (10–15 floors) at traffic levels such that the elevator is seldom idle or fully loaded. Part I describes the model and the general method for estimating means and variances of trip time if a group of floors is served by only one elevator and passenger arrivals define a homogeneous Poisson process.     

贵为天敌的天敌

HONDA CR-V在这个市场所向披靡很久了,NISSAN奇骏环伺在侧也无法撼动它的地位。当TOYOTA终于祭出第三代RAV4,我们立该有了一场不必买入场券的决斗厮杀可看。     

An analysis of elevator operation in moderate height buildings—II: Multiple elevators

Deterministic approximations for elevator trip times are applied to a system of m elevators. Comparisons of in-system time of passengers are made for elevators which are (a) physically separated, (b) ideally controlled, (c) zoned, or (d) uncontrolled. A more detailed study is then made of in-system passenger time for a pair of elevators subject to a minimum headway control at the lobby. Comparisons are made between rather primitive analytic estimates and simulation results.The main conclusion is that control of headways so as to prevent pairing is of doubtful value. At low traffic it is usually better to use no control; for higher traffic it is better to zone the building and have each elevator serve separate floors.     

BEAUTIFUL WINNER

慢跑回来整理这篇专访,恰是适宜的身心状态,因为我所访问的这位美丽女士也爱慢跑。我将《关于跑步,我想说的其实是……放在手边,村上春树和John Irving分别是我喜爱和挚爱的作家,他们也都是常年的跑者。我忽然间决定,把其他在看的书丢开优先完成这一本,然后送给她。     

Physical distribution from a warehouse: Vehicle coverage and inventory levels

This paper studies the costs involved in distributing items from a warehouse or depot to randomly scattered customers on a day-to-day basis. Two trade-offs are explored simultaneously. The first one arises because by accumulating large inventories at the depot it is possible to build more efficient distribution tours. This trade-off has already been explored for both distribution of goods (Burns et al., 1983) and passengers (Daganzo et al., 1977; Hendrickson, 1978). Another tradeoff, which involves the length of individual vehicle tours (Clarens and Hurdle, 1975), balances the inventory inside the vehicles against the transportation cost. Banks et al. (1982) have considered both of these tradeoffs simultaneously in the context of passenger transportation, but used a somewhat unrealistic model for vehicle routing. This paper is similar to the latter reference but uses a different routing strategy. It also illustrates how the nature of the objects carried (cheap goods, expensive goods, people, etc.) affects the optimal configuration of the distribution system and the overall distribution costs. Usually there is an optimum partitioning of the service area into districts and an optimum dispatching frequency in each district. The results can vary tremendously, depending on factors such as: the inventory carrying cost per item per unit time, the transportation costs, the demand per unit area and unit time, the average distance from the depot, the average vehicle speed and the time per stop.As an illustration of the ideas, a hypothetical limousine service from an airport is analyzed. The example is used to demonstrate how dramatically the optimal system configuration depends on the nature of the items carried.