Explaining the Approach of Traffic Modeling to Vehicle Routing Issues Based on the Paradigm of Green Transportation (Case Study: ZAMZAM Co)
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The purpose of this paper is to explain the most appropriate approaches for traffic modeling in vehicle routing problem based on green transportation paradigm. There are four approaches in literature for modeling of traffic including: simple, discrete, continuous, and random. Based on the qualitative meta-analysis method, 67 sources of green transportation were examined descriptively (in terms of using the above-mentioned approaches based on descriptive statistics) and evaluating (assessing the strengths and weaknesses of the approaches), which resulted in It was better to use a continuous approach. Regarding the existence of different patterns of modeling in the continuous approach, in order to achieve the appropriate model, Zamzam's distribution network was used based on Tehran Pars sales data on 21 August 2016. The results showed that existing patterns were inappropriate and that a proper pattern for the Zamzam distribution network should be developed. The developed pattern consists of two indicators: 1) the definition of the virtual node; and 2) the calculation of the average speed, taking into account multiple traffic conditions. This pattern corrects the weaknesses of previous patterns based on continuous approach.
Keywords:
Language:
Persian
Published:
Journal of Industrial Management, Volume:9 Issue: 25, 2017
Pages:
217 to 244
https://www.magiran.com/p1786114
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Locating Urban Service Centers Using a Combined Maximum Coverage, Multi-Objective Programming, and Queueing Theory Approach
Maryam Monhaseri, Maghsoud Amiri *, Mohammad Taghi Taghavi Fard, Mostafa Zandie
Journal of Development of Logistics and Human Resoure Management, Spring 2025 -
Designing a Resilient Three-level Intertwined Supply Network under Disruption and Uncertainty
Farahnaz Rahmani Meybodi, Akbar Alem Tabriz *, Mostafa Zandiyeh, Davood Talebi
Journal of Industrial Management,