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Deep Reinforcement Learning for Crowdsourced Urban Delivery. (2021). Tulabandhula, Theja ; Ahamed, Tanvir ; Farazi, Nahid Parvez ; Zou, BO.
In: Transportation Research Part B: Methodological.
RePEc:eee:transb:v:152:y:2021:i:c:p:227-257.

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  1. Dynamic assignment of delivery order bundles to in-store customers. (2025). Mancini, Simona ; Gansterer, Margaretha ; Ulmer, Marlin W.
    In: Omega.
    RePEc:eee:jomega:v:133:y:2025:i:c:s030504832400210x.

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  2. Package delivery by electric vertical takeoff and landing aircraft? An attractiveness assessment. (2025). Farazi, Nahid Parvez ; Zou, BO ; Perez, Daniel.
    In: Journal of Air Transport Management.
    RePEc:eee:jaitra:v:124:y:2025:i:c:s0969699724001960.

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  3. Challenges and opportunities in crowdsourced delivery planning and operations—an update. (2024). Ulmer, Marlin W ; Savelsbergh, Martin.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:343:y:2024:i:2:d:10.1007_s10479-024-06249-1.

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  4. Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic. (2024). Jayakrishnan, R ; Hyland, Michael F ; Yang, Dingtong.
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:188:y:2024:i:c:s1366554524002242.

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  5. Dynamic scheduling of flexible bus services with hybrid requests and fairness: Heuristics-guided multi-agent reinforcement learning with imitation learning. (2024). Zhu, Yanchen ; Wu, Weitiao ; Liu, Ronghui.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:190:y:2024:i:c:s0191261524001930.

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  6. Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017. (2023). Liu, Yulin ; Zhou, Yan ; Barua, Limon ; Zou, BO.
    In: Transportation.
    RePEc:kap:transp:v:50:y:2023:i:2:d:10.1007_s11116-021-10250-z.

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  7. A Systematic Literature Review of Vehicle Routing Problems with Time Windows. (2023). Chen, Yen-Lin ; Liu, Xiaobo ; Por, Lip Yee ; Ku, Chin Soon.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:15:p:12004-:d:1210691.

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  8. Crowd-shipping as a Service: Game-based operating strategy design and analysis. (2023). Wang, Shuaian ; Xu, Min ; Xiao, Haohan.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:176:y:2023:i:c:s0191261523001273.

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  9. Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery. (2023). Xu, Min ; Wang, LI ; Qin, HU.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:171:y:2023:i:c:p:111-135.

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  10. Same-day delivery with fair customer service. (2023). Chen, Xinwei ; Wang, Tong ; Ulmer, Marlin W ; Thomas, Barrett W.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:308:y:2023:i:2:p:738-751.

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  11. Dynamic On-Demand Crowdshipping Using Constrained and Heuristics-Embedded Double Dueling Deep Q-Network. (2022). Tulabandhula, Theja ; Farazi, Nahid Parvez ; Zou, BO.
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:166:y:2022:i:c:s1366554522002678.

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  12. Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities. (2022). Kuo, Yong-Hong ; Yan, Yimo ; Wu, Qihao ; Ho, Chin Pang ; Ying, Chengshuo.
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:162:y:2022:i:c:s136655452200103x.

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  13. Developing Environmentally Friendly Solutions for On-Demand Food Delivery Service. (2022). Liao, Yejia ; Hao, Peng ; Barth, Matthew J ; Boriboonsomsin, Kanok ; Liu, Haishan.
    In: Institute of Transportation Studies, Working Paper Series.
    RePEc:cdl:itsdav:qt89c461pv.

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  9. Space-time clustering-based method to optimize shareability in real-time ride-sharing. (2022). Alisoltani, Negin ; Ameli, Mostafa ; Zargayouna, Mahdi ; Leclercq, Ludovic.
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  10. An Evolutionary Descent Algorithm for Customer-Oriented Mobility-On-Demand Problems. (2022). Aggoune-Mtalaa, Wassila ; Nasri, Sonia ; Bouziri, Hend.
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