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原文传递 Fuzzy Logic–Based Travel Demand Model to Simulate Public Transport Policies

题名：	Fuzzy Logic–Based Travel Demand Model to Simulate Public Transport Policies
其他题名：	Andaman Public Work Department(APWD).(2009)."Master plan for Port Blair planning area 2030."Final Draft Rep.,Town and Country Planning Unit.
正文语种：	英文
作者：	Sarada Pulugurta
关键词：	Travel demand modeling;Fuzzy logic;Subtractive clustering;Public transport policies
摘要：	Four-stage travel demand modeling comprises of trip generation, trip distribution, mode choice, and traffic assignment. Limitations of conventional four-stage models are that they do not take into account subjectivity, imprecision, ambiguity, and vagueness involved in human decisions. In this direction, fuzzy logic is found to be the most suitable technique because it considers linguistic variables and expressions. Keeping this in view, the present study proposes to develop a methodology to consider fuzzy logic technique at different stages to develop travel demand models. The fuzzy logic–based travel demand models are developed in MATLAB software considering subtractive clustering technique. Four-stage conventional models are also developed to compare the efficiency of fuzzy logic models. The modeling results in terms R2, root-mean-square error (RMSE), and average error from both conventional and fuzzy logic models show that fuzzy logic models yield improved results in comparison to the conventional models. Further, to demonstrate the suitability of the developed fuzzy logic travel demand model, selected public transport policies are simulated considering appropriate parameters.
出版年：	2015
论文唯一标识：	P-84Y2015V141N04014
英文栏目名称：	Technical Papers
doi：	10.1061/(ASCE)UP.1943-5444.0000261
期刊名称：	Journal of Urban Planning and Development
拼音刊名(出版物代码)：	P-84
卷：	141
期：	04
页码：	136-146