[GraphHopper] can I add nodes and edges to the graph on the fly?
Peter
graphhopper at gmx.de
Thu Jul 23 14:58:16 UTC 2015
I would just mark (in a different data structure) that these nodes are
special e.g. in an array or (RAM)DataAccess which is more complex but
also storable and scales to GB.
This way you don't need to remove/re-add them and instead can just
remove the marker from the array. A lot easier IMO.
Regards,
Peter
On 23.07.2015 16:17, graphhopper newbie wrote:
> Thanks for the reply,
> The use case makes the situation dynamic. Assume that you have free
> floating carsharing vehicles. Let us assume that these vehicles can be
> parked everywehere. what I wanted to do is to periodically link these
> vehicles to the closest nodes in the original street graph (remove old
> links when vehicles change their positions). This way the vehicles
> will be represented as nodes in the graph and routing will be easier
> later. My routing algorithm has to be able to switch from walk to
> drive mode when such vehicle node is found. the goal is to have
> walk-drive-walk route in one Dijkstra run.
>
> Regards,
>
> On 23 July 2015 at 15:47, Peter <graphhopper at gmx.de
> <mailto:graphhopper at gmx.de>> wrote:
>
> Hi,
>
> you can, but there is currently no way to remove such edges
> (efficiently).
>
> Another workaround would be to use the QueryGraph for this like we
> use to introduce virtual nodes and edges to incorporate the
> start+end GPS point into the graph. But never tried this.
>
> Why not always add all such points to the graph, why is a dynamic
> scenario needed here?
>
> Kind Regards,
> Peter
>
>
> On 23.07.2015 15:42, graphhopper newbie wrote:
>> Hi everybody,
>> I am wondering if I can add nodes and edges to the graph after
>> its creation in a dynamic way. I need this functionality to deal
>> with dynamic scenarios like representing available
>> bikesharing/carsharing points which changes often. The simpist
>> case I need is to add an edge from a newly added node (
>> representing the available bike) to the closest node in the graph
>> and the reverse edge. i.e. from the closest node to the the bike
>> node.
>>
>> Thank you very much,
>
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