Volume 04
   The Second National & First International Conference on Soft Computing (University of Guilan)

Developping an Uncertainty Based Reasoning Approach for Bus Rapid Transit Systems Deployment Planning, Case Study: BRT Lane of Rasht City

Authors

Meysam Effati, Fatemeh Abedi


Abstract
Today in transportation and engineering applications, there are complex problems associated with uncertainty that are not solvable by conventional computational methods. Bus lanes are among the most well-known and widely used public transportation methods, which are no exception. The purpose of this study is to develop a dynamic basis inference system in order to determine the number of buses of a transit bus lane (case study is a BRT lane of Rasht city) based on the linguistic terms of the experts. For this purpose, a fuzzy inference system is proposed that can model bus dispatch with regard to environmental and climatic conditions, as well as considering inaccuracy and uncertainty and their simultaneous effect. Comparing the proposed method of this study to the current bus deployment systems in the area under study showed that using fuzzy inference system by modeling linguistic terms presented by experts, in addition to reducing waiting time for passengers, has an important role on decreasing fuel consumption and environmental pollution.

Keyword: Fuzzy logic, Mamdani inference, Bus rapid transit, Public Transportation Fleet.

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Event Information
Event: The Second National & First International Conference on Soft Computing CSC (2017). 22 - 23 November 2017
Received by Journal: 18 January 2018
Published at: 28 March 2018
Guest Editor: Dr. Hamed Mohaddes Deylami
keywords: Smart Systems, Soft Computing, Data Analysis, Machine Learning, Neural Network, Fuzzy Logic
Event informaion:

The Second National & First International Conference on Soft Computing (CSC 2017), will take place in Rudsar, Iran, from 22-23 November 2017. CSC 2017 is organized by the University of Guilan with the cooperation of the Iranian society of intelligent systems and Iranian fuzzy systems society with the support of the ministry of science, research and technology of Iran.

The primary goal of the conference is to promote research and developmental activities in Soft Computing, Neural Networks, Statistics, Machine Learning, etc.
The leading topic of the conference is:

  • Neural Networks
  • Genetic algorithm, Non-linear dynamic analysis
  • machine learning
  • soft computing
  • Fuzzy logic
  • Genetic algorithm, Non-linear dynamic analysis
  • Simulation
  • Linear Forecasting Approach

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