Fuzzy Logic–Based Travel Demand Model to Simulate Public Transport Policies-Reference-Cited by-同舟云学术

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

Published:2015-12 Issue:4 Volume:141 Page:04014044
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Pulugurta Sarada¹,Madhu Errampalli²,Kayitha Ravinder²

Affiliation:

1. Trainee Scientist, Academy of Scientific and Innovative Research, Council of Scientific and Industrial research (CSIR)-Central Road Research Institute (CRRI), Mathura Rd., New Delhi 110025, India (corresponding author).

2. Principal Scientist, Transportation Planning Division, Council of Scientific and Industrial research (CSIR)-Central Road Research Institute (CRRI), Mathura Rd., New Delhi 110025, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29UP.1943-5444.0000261

Reference21 articles.

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2. A rational approach to handling fuzzy perceptions in route choice

3. Comparison study between various fuzzy clustering algorithms;Bataineh K. M.;Jordan J. Mech. Ind. Eng.,2011

4. Census of India. (2011). Census of India 2011 〈http://www.censusindia.gov.in/2011-prov-results/prov_data_products_ani.html〉 (Jun. 23 2013).

5. Chopra S. Mitra R. and Kumar V. (2004). “Identification of rules using subtractive clustering with application to fuzzy logic controllers.” Proc. 3rd Int. Conf. on Machine Learning and Cybernetics IEEE New York 4125–4130.

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