Assessing PLOS at Road Intersections using Fuzzy Set Theory
Singh Kamal, Associate Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P.)
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2037-2041 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2729059120/2020©BEIESP | DOI: 10.35940/ijrte.A2729.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Pedestrian level of service (PLOS) is a measure of the quality of pedestrian facilities provided. Assessing the pedestrian level of service is very important for the improvement of pedestrian environment. This paper describes the results of study on the level of service provided and the importance of various parameters that affect the pedestrian level of service at road intersections. In the analysis, fuzzy set theory is applied and a composite pedestrian level-of-service index (PLOSI) is used to assess the level of service. The assessment at five intersections revealed that two intersections have PLOSI values less than the acceptance level. These two locations are lacking the pedestrian facilities and need to be improved. The method applied in this study may be useful in assessing the level of service at other intersections.
Keywords: PLOS, Fuzzy Set, Intersections, Membership Functions, Defuzzification.
Scope of the Article: Fuzzy Logic