Work

Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods

Year: 2008

Type: article

Abstract: This study presents route choice model of transportation network in Denizli using fuzzy logic model (FLM), logistic regression model (LRM) and survey-based data. Four important parameters (traffic safety, travel time, congestion and environmental effects) were used in the models. Fuzzy logic concepts are especially used to take note of imprecision, vagueness and uncertainty characteristics of route choice behaviour. FLM is compared with LRMs and encouraging results are obtained with FLM.

Source: Journal of Scientific & Industrial Research

Authors: Yetiş Şazi Murat, Nurcan Uludağ

Institution: Pamukkale University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2182073633

FWCI: 2.756

Cites: 22

Cited by: 36

Related to: 10