List of Articles زمان سفر

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  1 - Estimating the Time Value of Daily Occupational and Educational Trips to multiplicity from Their Nearby Regions
  N. Rezaei O.K. Sanginov
  The goal of this study is to estimate the demand for daily trip to Tehran from the suburban areas. To determine the time value lost due to traffic congestion, following Gary Baker and considering the theory of time allocation, the value of daily trips has been estimated More

  The goal of this study is to estimate the demand for daily trip to Tehran from the suburban areas. To determine the time value lost due to traffic congestion, following Gary Baker and considering the theory of time allocation, the value of daily trips has been estimated.    To have a better understanding about the purpose and the consequences of these trips and based on the data provided by The Population and Housing Census 1385 (2006) demands for occupational and educational have been estimated. JEL Classification:C81  ,R21 Manuscript profile
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  منصور حاجی حسینلو علیرضا گودرزی فرزاد فریدون زاده
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  3 - Travel Time derivative with Monte Carlo Method
  hadi ganji zahraei
  Time pricing is a tool for traffic management. Traffic management looks after increasing trip quality by reducing direct and indirect cost (wasting time, air pollution, noise pollution, accident cost and…). So, in this paper, at first, it is implemented financial More

  Time pricing is a tool for traffic management. Traffic management looks after increasing trip quality by reducing direct and indirect cost (wasting time, air pollution, noise pollution, accident cost and…). So, in this paper, at first, it is implemented financial derivatives for defining travel time derivatives. At the second stage, it is used Monte Carlo method for pricing traffic congestion.  Since, derivative pricing fluctuated is an index for predicting deriver behavior in that time or at least their expectation about future traffic volume: low (high) price is likely to be light (heavy) congestion at that time and in the specific route.  So, it is an intelligent method that indirectly dependent to drivers’ decision. In addition, in the usual method, the price is fixed, however, in the new method it is used market mechanism, so it is changed. Furthermore, in travel time derivative, two factors, traffic volume and diversion is implied in this forecasting. At the end, the introduced method is run for Karaj-Chalos route at 10 first of 31 July 2017. The derivative determined that the travel time will be 72 minutes. The result shows that, buying opportunity price is more than celling, so the travel time will be less than threshold time 72 minutes Manuscript profile