Ma, Xiaoyu, and He, Xiaozheng. Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach. Retrieved from https://par.nsf.gov/biblio/10584022. Transportation Research Part B: Methodological 189.C Web. doi:10.1016/j.trb.2024.103014.

Ma, Xiaoyu, & He, Xiaozheng. Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach. Transportation Research Part B: Methodological, 189 (C). Retrieved from https://par.nsf.gov/biblio/10584022. https://doi.org/10.1016/j.trb.2024.103014

Ma, Xiaoyu, and He, Xiaozheng. "Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach". Transportation Research Part B: Methodological 189 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.trb.2024.103014. https://par.nsf.gov/biblio/10584022.

@article{osti_10584022,
place = {Country unknown/Code not available}, title = {Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach}, url = {https://par.nsf.gov/biblio/10584022}, DOI = {10.1016/j.trb.2024.103014}, abstractNote = {}, journal = {Transportation Research Part B: Methodological}, volume = {189}, number = {C}, publisher = {Elsevier}, author = {Ma, Xiaoyu and He, Xiaozheng}, }