scholarly journals A perturbed utility route choice model

2022 ◽  
Vol 136 ◽  
pp. 103514 ◽  
Author(s):  
Mogens Fosgerau ◽  
Mads Paulsen ◽  
Thomas Kjær Rasmussen
Keyword(s):  
Choice Model ◽  
Route Choice

Route Choice Model Based on Continuity of Streetscapes

2012 ◽  
Vol 47 (3) ◽  
pp. 643-648
Author(s):  
Yuki Oyama ◽  
Eiji Hato
Keyword(s):  
Choice Model ◽  
Route Choice ◽  
Model Based

scholarly journals Route Choice Model Considering Driver's Information Acquisition and Reference Behavior under Multiple Traffic Information Sources.

1998 ◽  
pp. 99-111
Author(s):  
Eiji Hato ◽  
Masaaki Taniguchi ◽  
Yoriyasu Sugie ◽  
Masao Kuwahara ◽  
Hirohisa Morita
Keyword(s):  
Information Acquisition ◽  
Information Sources ◽  
Choice Model ◽  
Route Choice ◽  
Traffic Information

scholarly journals A link based network route choice model with unrestricted choice set

2013 ◽  
Vol 56 ◽  
pp. 70-80 ◽  
Author(s):  
Mogens Fosgerau ◽  
Emma Frejinger ◽  
Anders Karlstrom
Keyword(s):  
Choice Model ◽  
Route Choice ◽  
Choice Set

scholarly journals Multi-route choice modelling in a metropolitan context: A comparative analysis using Multinomial Logit and Fuzzy Logic based approaches

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-17
Author(s):  
Sowjanya Dhulipala
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Choice Model ◽  
Route Choice ◽  
Fuzzy Rule ◽  
Multinomial Logit ◽  
Choice Modelling ◽  
Choice Behaviour ◽  
Linguistic Rules ◽  
Mnl Model

Route choice plays a vital role in the traffic assignment and network building, as it involves decision making on part of riders. The vagueness in travellers’ perceptions of attributes of the available routes between any two locations adds to the complexities in modelling the route choice behaviour. Conventional Logit models fail to address the uncertainty in travellers’ perceptions of route characteristics (especially qualitative attributes, such as environmental effects), which can be better addressed through the theory of fuzzy sets and linguistic variables. This study thus attempts to model travellers’ route choice behaviour, using a fuzzy logic approach that is based on simple and logical ‘if-then’ linguistic rules. This approach takes into consideration the uncertainty in travellers’ perceptions of route characteristics, resembling humans’ decision-making process. Three attributes – travel time, traffic congestion, and road-side environment are adopted as factors driving people’s choice of routes, and three alternative routes between two typical locations in an Indian metropolitan city, Surat, are considered in the study. The approach to deal with multiple routes is shown by analyzing two-wheeler riders’ (e.g. motorcyclists’ and scooter drivers’) route choice behaviour during the peak-traffic time. Further, a Multinomial Logit (MNL) model is estimated, to enable a comparison of the two modelling approaches. The estimated Fuzzy Rule-Based Route Choice Model outperformed the conventional MNL model, accounting for the uncertain behaviour of travellers.

scholarly journals Behavior Analysis of the Inter-city Highway Route Choice Model with Navigation Data

2021 ◽  
Vol 39 (2) ◽  
pp. 149-163
Author(s):  
Hohyeon NAM ◽  
Ikki KIM ◽  
Jihye KIM ◽  
Hansol YOO ◽  
Sangjun PARK
Keyword(s):  
Behavior Analysis ◽  
Choice Model ◽  
Route Choice ◽  
Navigation Data

scholarly journals An Agent-Based Route Choice Model

2007 ◽  
Author(s):  
Shanjiang Zhu ◽  
David Matthew Levinson ◽  
Lei Zhang
Keyword(s):  
Choice Model ◽  
Route Choice ◽  
Agent Based
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