Jump to content

Talk:Urban traffic modeling and analysis

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Gissel.fernandez (talk | contribs) at 11:38, 23 December 2015 (Created page with 'Hello, I think that you made a really good job, the article it’s clear and easy to read. In my opinion they are just a few points to be improved: '''Introduc...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

Hello, I think that you made a really good job, the article it’s clear and easy to read. In my opinion they are just a few points to be improved:

Introduction:

In the last paragraph:

  • I guess you meant “Researchers” instead of “Researches”.
  • I think that if you change the ‘.” in: “... analysis. By collecting ...” for a “,” the idea of this paragraph will be more clear.

DataSource:

  • I think the correct phrase is: “The sources of which data can be collected to create a model are a key choice to the model and algorithms”.

Psycho-spacing models: “even when the headway distances is very large or small”

  • The correct phrase might be: “even when the headway distances are very large or small” or “even when the headway distance is very large or small”

Specifications of model traffic characteristics:

  • The sense of this phrase it’s not really clear: “Multiple process algorithms exists using different proven methodologies.” Do you mean: “The existing multiple process algorithms use different proven methodologies”?
  • I guess you meant “often” instead of “ofter”.

Specifications of model traffic characteristics:

  • I think the correct phrase is: “Algorithms may differ depending on the data of their model is based on or the way they structure and link these data.”

References:

  • The referenced website in Reference 5 doesn’t contain a URL to the full article in pdf or in any format.

Gissel.fernandez (talk)