Directory UMM :Data Elmu:jurnal:T:Transportation Research Part B Methodological:Vol34.Issue1.Jan2000:
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Three speci®c networks were constructed for Sydney, Melbourne and the pooled cities by sharing the same three speci®c training data sets used to construct logit models (see Table
The application situation we have in mind is one where trac demand and bottleneck ca- pacities change so slowly in time that changes to the state of the system (queues, vehicles
By contrast, in a certain case of discrete heteroskedasticity between observa- tions, the simulation results show that in terms of response to policy variations the Multinomial
We have observed that (1) ¯ow can drop substantially following the formation of an upstream queue; (2) the discharge ¯ows in active bottlenecks exhibit near-stationary patterns
In this scheme both private and public transport modes are managed by a planning authority having control of some decision variables: road pricing, transit ticket prices, and
For situations such as in transportation demand modelling where samples and choice sets are large, the maximum simulated likelihood framework combined with a
The objective of this study is to test, under relatively simple circumstances, whether flexible non-linear models — including neural networks and genetic algorithms — can
Blending theoretical and experimental studies, bridging the function of sin- gle neurons to that of neural networks and linking membrane phenomena to animal or human be- haviours,
