TITLE

In This Issue

PUB. DATE
May 1995
SOURCE
Transportation Science;May95, Vol. 29 Issue 2, p107
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This article presents information on various vehicular traffic models. The modeling vehicular traffic using the discrete time markovian arrival process model can capture the correlations between headways and also provide a computationally tractable model for traffic streams. The continuous time analogue of the model can also be developed in a similar manner. The vehicle routing problem lies at the heart of distribution management and has attracted the attention of several researchers over the last three decades. A common version of the problem is to design a set of minimum cost collection routes on a set of geographically clustered customers, using a fleet of vehicles and subject to a number of constraints such as vehicle capacity and maximal route duration. In several contexts, like in less-than-truckload operations, some of the elements of the problem are stochastic. The routing problem belongs to a very difficult class of stochastic combinatorial optimization problems often regarded as computationally intractable.
ACCESSION #
4454447

 

Related Articles

  • Modelling Vehicular Traffic Using the Discrete Time Markovian Arrival Process. Alfa, Attahiru Sule; Neuts, Marcel F. // Transportation Science;May95, Vol. 29 Issue 2, p109 

    A discrete time Markovian Arrival Process which models platooned arrivals in road traffic is presented. It takes into account the bunching of traffic and correlation between headways. Several examples involving different types of probability distributions for interplatoon and intraplatoon...

  • A comparison of two bivariate extreme value distributions. S. Yue; C. Y. Wang // Stochastic Environmental Research & Risk Assessment;Apr2004, Vol. 18 Issue 2, p61 

    There are two distinct bivariate extreme value distributions constructed from Gumbel marginals, namely Gumbel mixed (GM) model and Gumbel logistic (GL) model. These two models have completely different structures and their dependence ranges are different. The product-moment correlation...

  • Consumer Sequential Search:Not Enough or Too Much? Zwick, Rami; Rapoport, Amnon; Lo, Alison King Chung; Muthukrishnan, A. V. // Marketing Science;Fall2003, Vol. 22 Issue 4, p503 

    We study sequential search behavior in generalized "secretary problem" in which single object is to be selected from set of n alternatives. Alternatives are inspected in a random order, one at time, and only the rank order of the current alternative relative to the ones that have already been...

  • A Spectral Analysis of the Frequency of Supermarket Visits. MacKay, David B. // Journal of Marketing Research (JMR);Feb1973, Vol. 10 Issue 1, p84 

    This article reports the results of a study which examined a very simple phenomenon, the incidence of trips to supermarkets by consumers. Shopping trips were chosen because they are basic to the description of consumer behavior and because there is a growing interest in this area. Several store...

  • Risk management under extreme events. Fernandez, Viviana // International Review of Financial Analysis;2005, Vol. 14 Issue 2, p113 

    This article presents two applications of extreme value theory (EVT) to financial markets: computation of value at risk (VaR) and cross-section dependence of extreme returns (i.e., tail dependence). We use a sample comprised of the United States, Europe, Asia, and Latin America. Our main...

  • Dynamic Analysis of Discrete Dependent Variables: A Didactic Essay. Carroll, Glenn R. // Quality & Quantity;Oct83, Vol. 17 Issue 6, p425 

    Social scientists frequently study phenomena, which occur in time as discrete or qualitative changes in one or more of the characteristics of a social unit. Commonly, as in job changes and organizational mergers, these changes correspond to the intuitive concept of a social event. However, the...

  • An L-Moment-Based Analog for the Schmeiser-Deutsch Class of Distributions. Headrick, Todd C.; Pant, Mohan D. // ISRN Applied Mathematics;2012, p1 

    This paper characterizes the conventional moment-based Schmeiser-Deutsch (S-D) class of distributions through the method of L-moments. The system can be used in a variety of settings such as simulation or modeling various processes. A procedure is also described for simulating S-D distributions...

  • Multivariate Relationships Between Physiologic and Anthropometric Variables: A Data Based Analysis. Pal, Baidyanath; Seal, Babulal // International Journal of Statistics & Probability;May2014, Vol. 3 Issue 2, p30 

    To establish the relationship between two sets of variables measured on the same subject, canonical correlation analysis (CCA) is the most appropriate and popular method. In this study we consider two sets of variables which consist of different types of measurements. Here one set has three...

  • Assessment of Goodness of Fit Methods in Determining the Best Regional Probability Distribution of Rainfall Data. Amirataee, B.; Montaseri, M.; Rezaei, H. // International Journal of Engineering (1025-2495);Oct2014, Vol. 27 Issue 10, p1537 

    One of the main steps in regional rainfall analysis is to determine the most appropriate of several potentially possible probability distributions of rainfall data. For this purpose, the chi-square, the Kolmogrov-Smirnov and the Probability Plot Correlation Coefficient (PPCC) methods as goodness...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics