| dc.contributor.author | Ning, Chu | |
| dc.contributor.author | Chen, Ning | |
| dc.contributor.author | Wei, YiLin | |
| dc.contributor.author | Yao, Hui | |
| dc.contributor.author | Zheng, Qiang | |
| dc.date.accessioned | 2026-08-20T20:54:40Z | |
| dc.date.available | 2026-08-20T20:54:40Z | |
| dc.date.copyright | 2025/09/27 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JTEPBS.TEENG-9092.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313657 | |
| dc.description.abstract | AbstractVehicle detection is a pivotal application in object detection, underpinning the advancement
of sustainable and intelligent transportation systems. However, mainstream video-based
detection methods often raise privacy concerns for road users and ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Sustainable Vehicle Detection Technology Based on Self-Powered Sensor Data and Improved YOLOv8 | |
| dc.type | Journal Article | |
| dc.journal.volume | 151 | |
| dc.journal.issue | 12 | |
| dc.journal.title | Journal of Transportation Engineering, Part A: Systems | |
| dc.identifier.doi | 10.1061/JTEPBS.TEENG-9092 | |
| dc.journal.fristpage | 04025100-1 | |
| dc.journal.lastpage | 04025100-13 | |
| dc.page | 13 | |
| dc.tree | Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012 | |
| dc.contenttype | Fulltext | |
