Random walk / random waypoint are models for mobilty (and other things).
They can be combined with any type of network or lattice to get a concrete
mobilty model.
The Manhatten Mobility model is a Random walk on a Manhatten Grid.
For help on recreating such a model in SUMO, see
https://sumo.dlr.de/wiki/Tutorials/Manhattan

regards,
Jakob

Am Mo., 25. März 2019 um 03:08 Uhr schrieb 崔居福 <[email protected]>:

> Hi
> e.g. Random walk model,Random waypoint model ,or Manhattan Model
> Are these road network models or traffic models?
>
> 崔居福
> [email protected]
>
> <https://maas.mail.163.com/dashi-web-extend/html/proSignature.html?ftlId=1&name=%E5%B4%94%E5%B1%85%E7%A6%8F&uid=cuijufu1363308947%40163.com&iconUrl=http%3A%2F%2Fmail-online.nosdn.127.net%2Fsmdc1134caf1b621d5f0df65b2f841d050.jpg&items=%5B%22cuijufu1363308947%40163.com%22%5D>
> 签名由 网易邮箱大师 <https://mail.163.com/dashi/dlpro.html?from=mail81> 定制
> On 3/19/2019 15:00,Jakob Erdmann<[email protected]>
> <[email protected]> wrote:
>
> Because random-waypoint, random-walk and such are not proper traffic
> models whereas sumo is concerned with how traffic behaves.
> The closest thing would be to have vehicles or pedestrians move between
> random locations in the network and this could be accomplished by
> generating them with tools/randomTrips.py using option --intermediate to
> generate lots of random waypoints. But they would still move within the
> road network according to traffic rules.
>
> regards,
> Jakob
>
> Am Di., 19. März 2019 um 03:53 Uhr schrieb 崔居福 <[email protected]
> >:
>
>> Hi
>>
>> I am working with mobility model,I found only car-following models in
>> sumo.
>> e.g.IDM,ACC
>> But no other models. e.g. RWP,RW,RD,or GBMM
>> why?
>> i.e. why only the car-following models is encapsulated in sumo?
>> Thank you
>>
>> 崔居福
>> [email protected]
>>
>> <https://maas.mail.163.com/dashi-web-extend/html/proSignature.html?ftlId=1&name=%E5%B4%94%E5%B1%85%E7%A6%8F&uid=cuijufu1363308947%40163.com&iconUrl=http%3A%2F%2Fmail-online.nosdn.127.net%2Fsmdc1134caf1b621d5f0df65b2f841d050.jpg&items=%5B%22cuijufu1363308947%40163.com%22%5D>
>> 签名由 网易邮箱大师 <https://mail.163.com/dashi/dlpro.html?from=mail81> 定制
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