Contributed/SUMOPy/Demand/Zone To Zone

generated on 2019-08-22 00:08:53.600550 from the wiki page for Contributed/SUMOPy/Demand/Zone_To_Zone for SUMO git

We first explain the general concept of Zone to zone demand generation before we describe how to procede with SUMOPy.

  1. Zone definition: Definition of Zones, in SUMO also called “Traffic Assignment Zones” (TAZ). A TAZ defines the area where participants depart (zone of origin) or arrive (zone of destination). A TAZ does typically contain several network edges.
  2. Zone-to-Zone flow definition: Definition the number of trips between each zone of origin and a zone of destination (= OD-flow). This structure is widely known as the Origin-to Destination matrix OD Matrix. OD-flows are defined.
    • for different time intervals of the day.
    • for different transport mode.
  3. Trip generation: Each OD-flow is disaggregated into a discrete number of individual trips, departing at different edges (and edge positions) within the zone of origin, and at different time instances within the specified time interval; and arriving at different edges (and edge positions) within the zone of destination.
  4. Routing: A route is computed for each individual trip, connecting the edge within the zone of origin, with the edge within the zone of destination.

These steps can be performed with SUMOPy as follows....

From the SUMOPy network manipulation tools, select the Add zone tool.

After giving the zone a name [1] a polygon can be drawn on the network with a series of <Button-Left> - clicks. Complete the zone with a final <Double-Button-Left> - click. A <Double-Button-Right> - click will aboard the current zone drawing. Currently, zones must be convex, otherwise edge detection problems occur.

Only edges which are located entirely inside a zone are considered part of a zone. Only edges inside a zone are considered for departure or arrival of vehicles in the respective zone. After creating the zones you can identify all edges in each zone by selecting the menu item

Landuse>Zones>Identify zone edges

It is possible to see all zone edges and and change zone names by using the information tool and by clicking on the green zone border. Zones are accessible under scenario.demand.zones. Zones can also be deleted with the Delete tool of the network editor.

Zone-to-Zone flows can be added by selecting the menu item

Demand>Zone-to-zone demand>Add zone-to-zone flows

An “Add OD flow wizard” will pop up as shown in Fig. below.

Add OD wizard

With this wizard, specify the time interval (in entire seconds) and the transport mode. On the menu of the wizard select Edit>Add OD-flow to table. Then a new row will appear in the table. Enter the zones of origin and destination and the respective number of trips between them.

Instead of entering the OD flows manually, the wizard offers also the possible to import OD-flows from a CSV file. Select from the wizard menu:

File>Import CSV ...

and choose a CSV file from the file-dialog window. The CSV file must have the following format:

<zone name origin 1>, <zone name destination 1>,<trip number 1>
<zone name origin 2>, <zone name destination 2>,<trip number 2>
...

Once the OD flows are all entered, press Save flows. The scale factor can be used to multiply all entered trips with a constant (default is 1) wwhile saving. The demand flows are now saved to SUMOPy and can be browsed and modified under

scenario.demand.odintervals

Generate trips from OD flows by selecting menu item

Demand>Zone-to-zone demand>Generate trips from flows

The generated trips can be browsed and modified under

scenario.demand.trips

Perform a shortest path routing for each trip by selecting

Demand>Trips and router>Trips to routes with shortest path

The generated route can be browsed under

scenario.demand.trips.routes

With this method, SUMO’s duarouter is used to perform the routing. Note that each trip is now linked to a route (see ID route column in trips). If there is no route then the edge in the zone of origin is probably not connected to the edge in the zone of destination [2]. The router does not route pedestrians, but this is not necessary as their exact route will be determined during simulation.

The scenario is now ready to be simulated by selecting

Simulation>Sumo>export routes and simulate...

Proceed as described in Sec. [[1]].

A test file for OD demand is located in

SUMOHOME/tools/contributed/sumopy/testscenario/demo_dem_od_bikes.csv

  1. zone names can added/modified later via browser
  2. there can be several reasons for this, usually the destination edge is in access-restricted areas, or there are one-way roads, impeding access. Actually this should not happen too often, as the disaggregation algorithm should verify accessibility