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Development of an Estimation Procedure for an Activity‐Based Travel Demand Model
Author(s) -
Recker W.,
Duan J.,
Wang H.
Publication year - 2008
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2008.00555.x
Subject(s) - estimation , sequence (biology) , computer science , function (biology) , travel time , travel survey , travel behavior , data mining , engineering , transport engineering , genetics , systems engineering , evolutionary biology , biology
In this article, we implement an estimation procedure for a particular mathematical programming activity‐based model to estimate the relative importance of factors associated with spatial and temporal interrelationships among the out‐of‐home activities that motivate a household's need or desire to travel. The method uses a genetic algorithm to estimate coefficient values of the utility function, based on a particular multidimensional sequence alignment method to deal with the nominal, discrete attributes of the activity/travel pattern (e.g., which household member performs which activity, which vehicle is used, sequencing of activities), and a time sequence alignment method to handle temporal attributes of the activity pattern (e.g., starting and ending time of each activity and/or travel). The estimation procedure is tested on data drawn from a well‐known activity/travel survey.