Demand Modelling Pack
Modelling Travel Demand with Mathematical Classes
Defining travel demand schemes is essential for evaluating your study scenarios. OmniTRANS offers a range of tools for fast and effective demand modelling.
Trip End Modelling
The trip generation class offers the necessary mechanisms to determine the total number of trips produced and/or attracted by zones as a function of demographic and socio-economic data. It supports growth-factoring, multiple linear regression and cross-classification. It can also calculate the changes in trip productions as a consequence of changes in travel cost between a base and a forecast (trip end elasticity model).
Trip Distribution Modelling
The trip distribution class supports offers methods for integration with discrete choice models, allowing for doubly-constrained destination choice within a random utility context. It also supports Fratar growth factoring and simultaneous gravity models.
Discrete Choice Modelling
The basic classes in OmniTRANS allow the user to construct many different choice modelling structures, including nested and cross nested models. In combination with Ruby, these models can be used in variable demand feedback loops.
Feature diagram
The Demand Modelling pack gives access to the following features:
| Category | Class/Feature | Description |
| Trip End modelling | OtTripEnd | Perform trip end calculation |
| Distribution modelling | OtGravity | Perform simultaneous distribution and modal split calculation |
| OtGrowthFactor | Apply growth-factoring on an a priori matrix | |
| Discrete choice modelling | OtChoice | Use Logit based discrete choice model |
Requirement
This pack requires the presence of the Data Manager pack
