A Convolutional Transformer Network for Vehicle Trajectory Prediction in Urban Traffic ScenariosSource: Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002::page 04025132-1Author:Li, Anran
,
Xu, Zhenlin
,
Pan, Yuyan “Annie”
,
Zhang, Jian
,
Chen, Ning
,
Yu, Hongsheng
,
Chen, Yanyan
,
Li, Yongxing
DOI: 10.1061/JTEPBS.TEENG-9065Publisher: American Society of Civil Engineers
Abstract: AbstractMotion optimization for intelligent connected vehicles (ICVs) requires predicting
the trajectories of surrounding vehicles to achieve obstacle avoidance, which can
be facilitated by the Intelligent Vehicle Cyber-Physical System (IVCPS). IVCPS ...
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| contributor author | Li, Anran | |
| contributor author | Xu, Zhenlin | |
| contributor author | Pan, Yuyan “Annie” | |
| contributor author | Zhang, Jian | |
| contributor author | Chen, Ning | |
| contributor author | Yu, Hongsheng | |
| contributor author | Chen, Yanyan | |
| contributor author | Li, Yongxing | |
| date accessioned | 2026-08-20T20:54:22Z | |
| date available | 2026-08-20T20:54:22Z | |
| date copyright | 2025/11/26 | |
| date issued | 2026 | |
| identifier other | JTEPBS.TEENG-9065.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313650 | |
| description abstract | AbstractMotion optimization for intelligent connected vehicles (ICVs) requires predicting the trajectories of surrounding vehicles to achieve obstacle avoidance, which can be facilitated by the Intelligent Vehicle Cyber-Physical System (IVCPS). IVCPS ... | |
| publisher | American Society of Civil Engineers | |
| title | A Convolutional Transformer Network for Vehicle Trajectory Prediction in Urban Traffic Scenarios | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 2 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/JTEPBS.TEENG-9065 | |
| journal fristpage | 04025132-1 | |
| journal lastpage | 04025132-12 | |
| page | 12 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 002 | |
| contenttype | Fulltext |