Long, Keke, Liang, Zhaohui, Shi, Haotian, Shi, Lei, Chen, Sikai, and Li, Xiaopeng. Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control. Retrieved from https://par.nsf.gov/biblio/10584354. Communications in Transportation Research 4.C Web. doi:10.1016/j.commtr.2024.100154.

Long, Keke, Liang, Zhaohui, Shi, Haotian, Shi, Lei, Chen, Sikai, & Li, Xiaopeng. Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control. Communications in Transportation Research, 4 (C). Retrieved from https://par.nsf.gov/biblio/10584354. https://doi.org/10.1016/j.commtr.2024.100154

Long, Keke, Liang, Zhaohui, Shi, Haotian, Shi, Lei, Chen, Sikai, and Li, Xiaopeng. "Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control". Communications in Transportation Research 4 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.commtr.2024.100154. https://par.nsf.gov/biblio/10584354.

@article{osti_10584354,
place = {Country unknown/Code not available}, title = {Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control}, url = {https://par.nsf.gov/biblio/10584354}, DOI = {10.1016/j.commtr.2024.100154}, abstractNote = {}, journal = {Communications in Transportation Research}, volume = {4}, number = {C}, publisher = {Elsevier}, author = {Long, Keke and Liang, Zhaohui and Shi, Haotian and Shi, Lei and Chen, Sikai and Li, Xiaopeng}, }