Right-click on the scenario and select New Experiment.On the Outputs to Generate tab, tick Store in Database so that results can be retrieved later. In the Project window, right-click Scenarios > New > Generation/Attraction Scenario.To add the G/A scenario and run the experiment: You should see the histograms in the 2D view as shown below. If you need a reminder about creating view modes and style, see the earlier tutorial Viewing Microscopic Outputs.Ĭreate them and define them as illustrated in the next two screenshots:Īpply them to the view. Now we can create a view mode and a view style to visualize some of the data. Click Add eight times to add eight new data rows.Ĭomplete the rows as shown below (you can select Type from drop-down menus in the relevant cells).Ĭlick Import to import the data from the TXT file.Ĭheck the centroid again to verify that the data is now present):.In Lines to Skip, enter 1 (to skip the first, header, line of the TXT file).
In File Settings, locate the data file CensusData2012.txt.In the same folder as the ANG file, there is a text file containing the data for the data set named Census Data 2012 (CensusData2012.txt). Some information is already present (Data Set, Generation/Attraction Area, External Data where applicable, and the Balance box is ticked) but the socioeconomic values are all currently 0 and must be added in this exercise. Now double-click on any centroid and click on the Land Use tab: For example, for the Generation/Attraction Area G/A Urban, the G/A factors are already defined for the Time Period: AM Peak Hour and the Transportation Mode: All. Note that the areas are grouped by type name, being Distribution and Modal Split Areas, Generation/Attraction Areas, and Parking Areas.ĭouble-click on any of the objects to see their parameters. The Generation/Attraction Areas are contained in the Macroscopic Areas folder. Then find the data under the folder Land Use Data, which includes Land Use Data Sets and Land Use Data Set Attributes. In the Project window, locate and explore the predefined project data: Transportation Modes, Time Periods, and Trip Purposes. Take a look at the available data in the Project window folders we will complete the data before creating the G/A scenario and experiment. This network file already contains most of the data needed to run a G/A experiment. In Aimsun Next, open the file Initial_Travel_Demand_Modelling.ang. Running a Generation/Attraction (G/A) Experiment ¶ Data inputs and parameters relevant to this exercise ¶ The backup copies of the files related to this exercise are in /docs/tutorials/9_Travel_Demand_Modelling. We will then run a trip distribution and a modal split experiment to create OD matrices and assign this demand to the network (Exercises 2, 3, 4a, and 4b).įinally, we will run a four-step model experiment to link all these processes and their outputs together (Exercise 5). We will start by preparing and running a generation/attraction (G/A) experiment to create G/A vectors using land-use and travel-behavior data (Exercise 1). In this tutorial, Exercise 4 is split into a (private) and b (transit) assignment. Assignment: The fourth step introduces the demand into the transport network and evaluates travel times and costs.Modal split: This step estimates the mode choice that travelers will use for these trips, allocating trips to private transport (vehicles), bicycles, or transit (passengers).Distribution: This step matches trip origins and trip destinations.Generation/attraction: This step determines which trips originate and terminate in each zone, based on the population and land use of each zone.In these exercises we will look at Aimsun Next's transport planning and demand modeling tools, whose combination will culminate in us running a four-step model.Ī four-step model uses trips aggregated by transport zone and the four steps involved are: Running a Generation/Attraction Experiment
#Peakhour 0 interfaces pro
These exercises require a license for Aimsun Next Expert or the Pro TDM Edition.
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