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The option of toll road with c-means clustering algorithm based on interval fuzzyNumbers

  • Guanglin Sun*
  • , Jian Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The option of toll road is observably influential on the results of road-based congestion charging. This paper adopts C-means clustering algorithm based on interval fuzzy numbers to confirm the roads charged collection in transport network. Firstly, the C-means clustering algorithm is used to classify the paths, and gain the optimum number of categories according to the traffic index values in rush hour. Then the social welfare of each category of toll road is calculated respectively by the model of congestion pricing. The road set with maximum social welfare is charging group. The rational option of toll road is meaningful for improving social welfare and effect of road charging.

Original languageEnglish
Title of host publicationICTE 2011 - Proceedings of the 3rd International Conference on Transportation Engineering
Pages334-339
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event3rd International Conference on Transportation Engineering, ICTE 2011 - Chengdu, China
Duration: 23 Jul 201125 Jul 2011

Publication series

NameICTE 2011 - Proceedings of the 3rd International Conference on Transportation Engineering

Conference

Conference3rd International Conference on Transportation Engineering, ICTE 2011
Country/TerritoryChina
CityChengdu
Period23/07/1125/07/11

Keywords

  • C-means clustering algorithm
  • congestion pricing
  • road option

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