Physical enhanced residual learning(PERL)framework for vehicle trajectory predictionOA
Physical enhanced residual learning(PERL)framework for vehicle trajectory prediction
Keke Long;Zihao Sheng;Haotian Shi;Xiaopeng Li;Sikai Chen;Soyoung Ahn
Department of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USADepartment of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USADepartment of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USADepartment of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USADepartment of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USADepartment of Civil&Environmental Engineering,University of Wisconsin-Madison,Wisconsin,53706,USA
Trajectory predictionResidualCar-following modelNeural network
Trajectory predictionResidualCar-following modelNeural network
《交通研究通讯（英文）》 2025 (2)
36-47,12
This work was supported by the National Science Foundation Cyber-Physical Systems(CPS)program(No.2343167).
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