Work

A Hyperpath-based Network Generalized Extreme-value Model for Route Choice under Uncertainties

Year: 2015

Type: article

Abstract: Previous route choice studies treated uncertainties as randomness; however, it is argued that other uncertainties exist beyond random effects. As a general modeling framework for route choice under uncertainties, this paper presents a model of route choice that incorporates hyperpath and network generalized extreme-value-based link choice models. Accounting for the travel time uncertainty, numerical studies of specified models within the proposed framework are conducted. The modeling framework may be helpful in various research contexts dealing with both randomness and other non-probabilistic uncertainties that cannot be exactly perceived.

Source: Transportation research procedia

DOI: 10.1016/j.trpro.2015.06.003

Authors: Jiangshan Ma, Daisuke Fukuda

Institutions: Tokyo Institute of Technology, Shanghai Maritime University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Ministry of Land, Infrastructure, Transport and Tourism, Japan Society for the Promotion of Science