| Title | InterTwin: Deep Learning Approaches for Computing Measures of Effectiveness for Traffic Intersections |
|---|---|
| Author | |
| Related content | |
| Year of Publication |
2021
|
| Journal |
Applied Sciences
|
| Volume |
11
|
| Start Page |
11637
|
| Issue |
24
|
| Number of Pages |
1
|
| Date Published |
12
|
| ISSN Number |
2076-3417
|
| URL |
https://par.nsf.gov/biblio/10332843
|
| DOI |
10.3390/app112411637
|
| Google Scholar | BibTeX | DOI |