Samenvatting
In this paper, the scheduling algorithm is described in detail and numerical examples from a case study in the Washington D.C. metropolitan area are provided.
A rule-based activity-travel scheduling algorithm integrating neural networks of behavioural adaptation.
Jaar
Publicatie
Bibliotheeknummer
960377 s ST (In: ST 960377 [electronic version only])
Uitgave
In: Papers of the European Institute of Retailing and Service Studies EIRASS conference "Activity based approaches : activity scheduling and the analysis of activity patterns", Eindhoven, The Netherlands, May 25-28, 1995, 25 p., 33 ref.
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