Heatmap design for probabilistic driver repositioning in crowdsourced delivery
| Year of publication: |
2025
|
|---|---|
| Authors: | Alnaggar, Aliaa ; Gzara, Fatma ; Bookbinder, James H. |
| Published in: |
Transportation science. - Hanover, Md. : INFORMS, ISSN 1526-5447, ZDB-ID 2015901-8. - Vol. 59.2025, 1, p. 81-103
|
| Subject: | approximate dynamic programming | crowdsourced delivery | endogenous uncertainty | Markov decision process | probabilistic repositioning | Crowdsourcing | Markov-Kette | Markov chain | Theorie | Theory | Dynamische Optimierung | Dynamic programming | Wahrscheinlichkeitsrechnung | Probability theory | Mathematische Optimierung | Mathematical programming | Entscheidung | Decision | Risiko | Risk |
-
Sequential resource allocation for humanitarian operations using approximate dynamic programming
Fadaki, Masih, (2025)
-
Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations
Hinz, Juri, (2020)
-
Multiperiod stochastic resource planning in professional services organizations
Solomon, Stanislaus, (2019)
- More ...
-
Compensation Guarantees in Crowdsourced Delivery : Impact on Platform and Driver Welfare
Alnaggar, Aliaa, (2023)
-
Compensation guarantees in crowdsourced delivery : impact on platform and driver welfare
Alnaggar, Aliaa, (2024)
-
Distribution planning with random demand and recourse in a transshipment network
Alnaggar, Aliaa, (2020)
- More ...