Management and Evaluation of Road Traffic System Using Fuzzy Logic Shukla H. S.1, Tripathi Jitesh P.1,*, Singh U. P.2 1Department of Mathematics and Statistics, DDU Gorakhpur University, India 2Department of Applied Science, Ambalika Institute of Management Technology, Lucknow, India *Corresponding Author: e-mail: jiteshmaths@gmail.com, Mobile: +91-9453477657
Online published on 21 November, 2017. Abstract Traffic congestion continues to be one of the major problems in various transportation systems. The ever increasing demand for mobility in urban centers has resulted in increased traffic congestion and a multitude of problems associated with it. Peoples are especially concerned about those areas of the city which are regularly congested because these areas could magnify the impact area and the duration of congestion. In this paper, urban transportation efficiency, factors affecting, frame work of evaluation and mathematical approaches to solve and interpret during Multi Criteria Decision Making (MCDM) process are analyzed. The importance of different criteria and factors under each of criteria can be also determined by using very popular approach AHP (Analytic Hierarchal Process) [1]. Top Keywords AHP, Fuzzy logic, MCDM, Traffic congestion. Top |