The goal of IJTTE is to broaden the knowledge of traffic and transport experts and academicians by promoting free access and provide valuable insight to transport related information, research and ideas. IJTTE will serve as a great resource for researchers and students across the globe.
Volume List  / Volume 3 (4)

Article

DEVELOPMENT OF FUZZY LOGIC BASED MODE CHOICE MODEL CONSIDERING VARIOUS PUBLIC TRANSPORT POLICY OPTIONS

DOI: 10.7708/ijtte.2013.3(4).05


3 / 4 / 408-425 Pages

Author(s)

Mukesh Kumar - Department of Transport and Infrastructure, WSP Group, New Delhi, India -

Pradip Sarkar - Department of Transport Planning, School of Planning and Architecture, New Delhi, India -

Errampalli Madhu - Transport Planning and Environment Division, Central Road Research Institute, New Delhi, India -


Abstract

Mode choice modeling has been studied by transport planners in many researches’ applications. This study explores the relationships between travel patterns of commuters and their willingness to adopt an alternate mode. The study also estimated public transport share along with private vehicles. This research has been concentrated on the application of fuzzy logic technique in which the mode choice model provides the estimated modal split at the specified work centers in the study area. It is expected that the present study may be used in new transport policies by concerned authorities.


Download Article

Number of downloads: 2573

Keywords:
mode choice model; fuzzy logic; public transport policy;


References:

Akiyama, T.; Okushima, M. 2010. Fuzzy travel behaviour model with spatial information to evaluate public transport policy. In Proceedings of the the 12th World Conference on Transportation Research, Portugal.

 

Dhingra, S.L.; Ramanajee, M. 1998. Evaluation of Utility of Mode Using Fuzzy Integrals. In Proceeding of the 8th World Conference on Transportation Research, Belgium.

 

Hellmann, M. 2000. Fuzzy Logic Introduction. Universit´e de Rennes 1, UFR S.P.M, Campus de Beaulieu.

 

Madhu, D. 2008. Fuzzy Logic Based Micro-Scopic Traffic Simulation Model for Transport Policy Evaluation. Gifu University, Japan: PhD Thesis.

 

Nath, B. 2008. Travel mode choice behaviour modeling by a non-conventional approach using fuzzy measures, IIT Delhi, India: PhD Thesis.

 

Postorino, M.N.; Versaci, M. 2008. A fuzzy approach to simulate the user mode choice behaviour. Italy: Mediterranean University of Reggio Calabria.


Quoted IJTTE Works

There is no quoted studies.



Related Keywords

USING FUZZY INFERENCE SYSTEMS TO OPTIMIZE HIGHWAY ALIGNMENTS