NDLI: Type-II fuzzy route choice modeling

Content Provider	IEEE Xplore Digital Library
Author	Shafahi, Y. Masouleh, A.Z. Masouleh, M.Z.
Copyright Year	2010
Description	Author affiliation: Department of Civil Engineering Sharif university of Technology, Tehran, Iran (Shafahi, Y.) \|\| Department of Civil Engineering, Sharif university of Technology, Tehran, Iran (Masouleh, A.Z.) \|\| Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran (Masouleh, M.Z.)
Abstract	Route choice modeling is one of the most important parts of traffic assignment problem. Recently, this model is used to describe the reactions of drivers to Traveler Information Systems in order to develop accurate Advanced Traffic Management and Information System (ATMIS). Therefore accurate model is necessary. In this paper we proposed a new model based on Type-II fuzzy logic to model route choice problem. This model can take account of the imprecision, uncertainties and vagueness lying in the dynamic choice process and makes more accurate modeling of drivers' behavior than deterministic, stochastic and Type-I fuzzy models. In our proposed model we consider average speed and cost separately and use Type-II fuzzy reasoning method to consider both elements. We obtain the initial membership functions of the average speed and the cost by using Elicitation and Heuristic Selection method. A Type-II fuzzy rule base using standard operators is defined. The results show that the proposed model is more reliable and more accurate in modeling real drivers' behavior and could handle the uncertainties more efficient.
Starting Page	1
Ending Page	5
File Size	723240
Page Count	5
File Format	PDF
ISBN	9781424478590
e-ISBN	9781424478583
e-ISBN	9781424478576
DOI	10.1109/NAFIPS.2010.5548267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-12
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Traffic control Uncertainty Fuzzy logic Costs Management information systems Civil engineering Information management Stochastic processes Fuzzy reasoning Intelligent Transportation Systems component Type-II Fuzzy Logic Route Choice Modeling Type-II Fuzzy Route Choice Model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in