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Opportunities for reinforcement learning in stochastic dynamic vehicle routing
There has been a paradigm-shift in urban logistic services in the last years; demand for real-
time, instant mobility and delivery services grows. This poses new challenges to logistic …
time, instant mobility and delivery services grows. This poses new challenges to logistic …
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
Same-day delivery with fair customer service
The demand for same-day delivery (SDD) has increased rapidly in the last few years and
has particularly boomed during the COVID-19 pandemic. The fast growth is not without its …
has particularly boomed during the COVID-19 pandemic. The fast growth is not without its …
[HTML][HTML] Container port truck dispatching optimization using Real2Sim based deep reinforcement learning
In marine container terminals, truck dispatching optimization is often considered as the
primary focus as it provides crucial synergy between the sea-side operations and yard-side …
primary focus as it provides crucial synergy between the sea-side operations and yard-side …
[HTML][HTML] Recent advances in integrating demand management and vehicle routing: A methodological review
In logistics and mobility services, new business models such as “attended home
delivery”,“same-day delivery”, and “mobility-on-demand” have been successfully …
delivery”,“same-day delivery”, and “mobility-on-demand” have been successfully …
Smart Delivery assignment through machine learning and the Hungarian algorithm
Intelligent transportation and advanced mobility techniques focus on hel** operators to
efficiently manage navigation tasks in smart cities, enhancing cost efficiency, increasing …
efficiently manage navigation tasks in smart cities, enhancing cost efficiency, increasing …
[HTML][HTML] Review of stochastic dynamic vehicle routing in the evolving urban logistics environment
Urban logistics encompass transportation and delivery operations within densely populated
urban areas. It faces significant challenges from the evolving dynamic and stochastic nature …
urban areas. It faces significant challenges from the evolving dynamic and stochastic nature …
Decision support through deep reinforcement learning for maximizing a courier's monetary gain in a meal delivery environment
Meal delivery is a fast-growing industry supported by couriers participating in the gig
economy. This paper takes a single courier's perspective and provides decision support for …
economy. This paper takes a single courier's perspective and provides decision support for …
Order dispatching via GNN-based optimization algorithm for on-demand food delivery
As one representative of last-mile logistics in intelligent transportation systems, the on-
demand food delivery (OFD) service has gained rapid market growth but also faces multiple …
demand food delivery (OFD) service has gained rapid market growth but also faces multiple …
[HTML][HTML] Multi-agent reinforcement learning for online food delivery with location privacy preservation
Online food delivery services today are considered an essential service that gets significant
attention worldwide. Many companies and individuals are involved in this field as it offers …
attention worldwide. Many companies and individuals are involved in this field as it offers …