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Route planning using divide-and-conquer : a GAT enhanced insertion transformer approach
Zhang, Pujun; Liu, Shan; Shi, Jia; Chen, Liying; Chen, … - In: Transportation research / E : an international journal 176 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014382039
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Integrating Dijkstra's algorithm into deep inverse reinforcement learning for food delivery route planning
Liu, Shan; Jiang, Hai; Chen, Shuiping; Ye, Jing; He, Renqing - In: Transportation research / E : an international journal 142 (2020), pp. 1-16
Persistent link: https://www.econbiz.de/10012319642
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Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Zhang, Pujun; Lei, Dazhou; Liu, Shan; Jiang, Hai - In: Transportation research : an international journal 185 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10015078374
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Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions
Liu, Shan; Jiang, Hai - In: Transportation research / E : an international journal 164 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013366679
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Integrated flight scheduling and fleet assignment under airport congestion
Pita, João P.; Barnhart, Cynthia; Antunes, António … - In: Transportation science : a journal of the Institute for … 47 (2013) 4, pp. 477-492
Persistent link: https://www.econbiz.de/10010227210
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A decomposition approach for commodity pickup and delivery with time-windows under uncertainty
Marla, Lavanya; Barnhart, Cynthia; Biyani, Varun - In: Journal of scheduling 17 (2014) 5, pp. 489-506
Persistent link: https://www.econbiz.de/10010462023
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Robust optimization : lessons learned from aircraft routing
Marla, Lavanya; Vaze, Vikrant; Barnhart, Cynthia - In: Computers & operations research : and their … 98 (2018), pp. 165-184
Persistent link: https://www.econbiz.de/10011886776
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Choice-based airline schedule design and fleet assignment : a decomposition approach
Yan, Chiwei; Barnhart, Cynthia; Vaze, Vikrant - In: Transportation science 56 (2022) 6, pp. 1410-1431
Persistent link: https://www.econbiz.de/10014309352