نتایج جستجو برای: forecasting trip duration
تعداد نتایج: 256145 فیلتر نتایج به سال:
Earned Schedule (ES) forecasting of project duration has been researched over several years. Overwhelmingly, in comparison to other EVM-based methods, ES has been affirmed to be better. However, the testing results from a study, which employed simulation techniques, indicated there were conditions in which ES performed poorly. These results create skepticism as to the reliability of ES forecast...
This paper holds a parametric study on seakeeping performance for one kind of submersible vehicles, a tourist submarine. This analyis has been performed from the aspect of motion sickness incidence by using a strip theory hydrodynamics solver. The parameters include sea state, sea direction, depth, speed and duration of operation. Results prove head seas to be more violative than following seas...
Predicting net induced demand can be helpful for better feasibility study before investigating transportation infrastructure. The net induced demand can be defined as newly generated trips, but not shifted trips, by some improvements in transportation systems. This study only focused on the net induced demand rather than any other concepts belong to the general term “induced demand”. The net in...
In this paper, a joint hazard-based model is proposed to analyze simultaneous (mutually interdependent) duration processes. The proposed model generalizes independent hazard based models by accounting for correlations between simultaneous duration processes. Further, the model also permits flexible and variable hazard function parameters to capture realistic features observed empirically in act...
فولادهای trip دارای ساختارهای چند فازی شامل فریت، بینیت و آستنیت باقی مانده به همرا مقدار کمی مارتنزیت می باشند. آستنیت باقی مانده و مورفولوژی آن موثرترین فاز در ریز ساختار فولادهای trip محسوب می شود و باعث بهبود شکل پذیری و استحکام این فولادها می شود. در این پژوهش تأثیر ریز ساختار بر خواص مکانیکی یک فولاد trip کارگرم شده، بررسی شد. بدین منظور فولادی trip حاوی si، mn وحدود 2/0 درصد کربن پس ازعم...
In this paper, we explore the use of machine learning and data mining to improve the prediction of travel times in an automobile. We consider two formulations of this problem, one that involves predicting speeds at different stages along the route and another that relies on direct prediction of transit time. We focus on the second formulation, which we apply to data collected from the San Diego...
The traditional approach to urban travel analysis includes a detailed and complex modeling system that considers activity/trip generation (including time-of-day of trip) and destination, mode, and route choices. While the insights that one can gain from such a comprehensive approach are undeniable, a more simplistic approach that focuses on travel time alone (which by its nature will implicitly...
A fundamental study by Ens et al. (1992, Journal of Animal Ecology, 61, 703) developed the concept of two different nest-territory qualities in Eurasian oystercatchers (Haematopus ostralegus, L.), resulting in different reproductive successes. "Resident" oystercatchers use breeding territories close to the high-tide line and occupy adjacent foraging territories on mudflats. "Leapfrog" oystercat...
although an integrated model is the final goal. Also, even with today’s computing power, an integrated model will inevitably require some strict assumptions that will reduce its application value to local specific problems. The classical way to forecast the results of such a complex choice process is to divide it into simpler subprocesses in a logical and tractable way. Models for these subproc...
This article tackles the multi-trip vehicule routing problem with time windows and limited duration. A trip is a timed route such that a succession of trips can be assigned to one vehicle. We provide a two-phase exact algorithm to solve it. The first phase enumerates possible ordered lists of client matching trip maximum duration criterion. The second phase uses a Branch and Price scheme to gen...
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