| dc.contributor.author | Tao, Zhibin | |
| dc.contributor.author | Feng, Xuesong | |
| dc.date.accessioned | 2026-08-20T21:23:40Z | |
| dc.date.available | 2026-08-20T21:23:40Z | |
| dc.date.copyright | 2025/08/06 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JCCEE5.CPENG-6429.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314381 | |
| dc.description.abstract | AbstractThis research proposes a spatiotemporal parallel convolutional network (SPCN) model
that accounts for both the interactions between lanes and the impact of weather conditions
in predicting short-term traffic volume. Initially, multidimensional ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Spatiotemporal Parallel Convolutional Network Considering Multidimensional Factors for Short-Term Traffic Flow Prediction | |
| dc.type | Journal Article | |
| dc.journal.volume | 39 | |
| dc.journal.issue | 6 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6429 | |
| dc.journal.fristpage | 04025093-1 | |
| dc.journal.lastpage | 04025093-9 | |
| dc.page | 9 | |
| dc.tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| dc.contenttype | Fulltext | |
