Network effects of percentile-based route choice behavior for stochastic travel times under exogenous capacity variations

2013 ◽  
Author(s):  
Adam J. Pel ◽  
Alan J. Nicholson
Keyword(s):  
Choice Behavior ◽  
Network Effects ◽  
Route Choice ◽  
Travel Times ◽  
Route Choice Behavior ◽  
Stochastic Travel Times

Drivers’ Route Choice Behavior: Analysis by Data Mining Algorithms

2002 ◽  
Vol 1807 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Toshiyuki Yamamoto ◽  
Ryuichi Kitamura ◽  
Junichiro Fujii
Keyword(s):  
Data Mining ◽  
Travel Behavior ◽  
Choice Behavior ◽  
Route Choice ◽  
Discrete Choice Models ◽  
Travel Times ◽  
Production Rules ◽  
Route Choice Behavior ◽  
Data Mining Algorithms ◽  
C4.5 Algorithm

Decision trees and production rules, which are among the methods used in knowledge discovery and data mining, are applied to investigate drivers’ route choice behavior. These methods have an advantage over artificial neural networks, another data mining method often used in analysis of travel behavior: they facilitate determination of the relationships between the explanatory variables and the choice. Specifically, the C4.5 algorithm, which produces a decision tree and a set of production rules from the tree, is applied here. Two surveys were carried out to collect data on drivers’ route choice behavior between two alternative routes on expressway networks. The two data sets include the expected minimum, maximum, and average travel times along each alternative route, as indicated by the respondent as well as his or her sociodemographic attributes. The results of the analyses suggest that different expected travel times influence route choice in different cases and that a maximum or average travel time determines route choice in some cases regardless of other attributes. The results of a comparison analysis between the C4.5 algorithm and discrete choice models indicate the superior ability offered by the former in representing drivers’ route choice.

AN ANALYSIS OF TRUCKS' ROUTE CHOICE BEHAVIOR CONSIDERING VEHICLE TYPE AND TRIP LENGTH

2018 ◽  
Vol 74 (5) ◽  
pp. I_657-I_666
Author(s):  
Hideki OKA ◽  
Makoto CHIKARAISHI ◽  
Jun TANABE ◽  
Daisuke FUKUDA ◽  
Takashi OGUCHI
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Trip Length ◽  
Vehicle Type ◽  
Route Choice Behavior

scholarly journals Design of an artificial simulator for analyzing route choice behavior in the presence of information system

1995 ◽  
Vol 22 (4-7) ◽  
pp. 119-147 ◽  
Author(s):  
P.D.V.G. Reddy ◽  
H. Yang ◽  
K.M. Vaughn ◽  
M.A. Abdel-Aty ◽  
R. Kitamura ◽  
...  
Keyword(s):  
Information System ◽  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior

scholarly journals Using a Telepresence System to Investigate Route Choice Behavior

2013 ◽  
pp. 139-148
Author(s):  
Tobias Kretz ◽  
Stefan Hengst ◽  
Antonia Pérez Arias ◽  
Simon Friedberger ◽  
Uwe D. Hanebeck
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior

Experimental analysis of dynamic route choice behavior

1992 ◽  
Vol 26 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Yasunori Iida ◽  
Takamasa Akiyama ◽  
Takashi Uchida
Keyword(s):  
Experimental Analysis ◽  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior ◽  
Dynamic Route
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