Fuzzy modeling for route characteristic


Cekmis A.

9th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception (ICSCCW), Budapest, Hungary, 22 - 25 August 2017, vol.120, pp.112-119 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 120
  • Doi Number: 10.1016/j.procs.2017.11.217
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.112-119

Abstract

Bicycling is gaining popularity as a form of urban transportation for environmental and health reasons. Despite the numerous research on the parameters influencing route choice, the characteristics of different segments/parts of a route is rarely studied. The route in a city is not a stable entity; the attributes being related to the bicycle facilities, road surface, traffic and topography are expected to change along the route line from origin to destination. In this paper a computational model is proposed to calculate and visualize the route in segments. Fuzzy logic is used as the methodology; where the inputs are chosen as (1) the type of bicycle facility, (2) slope and (3) vehicle flow. The output is the ride quality value that will fluctuate between 0 and 1. Fuzzy subsets enable granulation and provide a more real- like evaluation of the route. The result is a string of points on a city map, visually representing the bicycle ride quality in detail. (c) 2018 The Authors. Published by Elsevier B.V.