AlphaRoute: large-scale coordinated route planning via Monte Carlo tree search
This paper proposes AlphaRoute, an AlphaGo inspired algorithm for coordinating large-
scale routes, built upon graph attention reinforcement learning and Monte Carlo Tree …
scale routes, built upon graph attention reinforcement learning and Monte Carlo Tree …
A solution for dynamic spectrum management in mission-critical UAV networks
In this paper, we study the problem of spectrum scarcity in a network of unmanned aerial
vehicles (UAVs) during mission-critical applications such as disaster monitoring and public …
vehicles (UAVs) during mission-critical applications such as disaster monitoring and public …
ACP based large-scale coordinated route planning: from perspective of Cyber-Physical-Social Systems
Traffic congestion is deteriorating the sustainability and livability of the metropolis. However,
most existing solutions are expected utility-based, ie, making routing decisions based on …
most existing solutions are expected utility-based, ie, making routing decisions based on …
Evolutionary neural network for learning of scalable heuristics for pickup and delivery problems with time windows
In this paper, we address the pickup and delivery problem with time windows (PDP-TW) and
heterogenous vehicles for minimisation of total tardiness by learning heuristics from a given …
heterogenous vehicles for minimisation of total tardiness by learning heuristics from a given …
Intelligent cruise guidance and vehicle resource management with deep reinforcement learning
The emergence of new business and technological models for urban-related transportation
has revealed the need for transportation network companies (TNCs). Most research works …
has revealed the need for transportation network companies (TNCs). Most research works …
Bridging reinforcement learning and online learning for spacecraft attitude control
Artificial intelligence is expected to revolutionize all areas of space operations in the coming
years. The most advanced space systems will possess the ability to adapt and improve …
years. The most advanced space systems will possess the ability to adapt and improve …
Exploring the ridesharing efficiency of taxi services
W Zeng, Y Han, W Sun, S **e - IEEE Access, 2020 - ieeexplore.ieee.org
The application of ridesharing strategy to autonomous taxi system holds great promise for
improving the efficiency in the future on-demand ride-hailing services. Prior to the …
improving the efficiency in the future on-demand ride-hailing services. Prior to the …
A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment
The recent evolution of information technology in logistics has facilitated the digital freight
brokerage, which allows shippers and trucks to match needs and services in a short-term …
brokerage, which allows shippers and trucks to match needs and services in a short-term …
Distribution of a Taxi Fleet: The Problem of Arranging Repair and Maintenance in the Absence of Centralized Management
E Cozac, M Gordienko, M Bogdanov… - Automotive …, 2021 - journal.unimma.ac.id
The article presents a mathematical model for distributed taxi fleet operations. A
technological approach based on mathematical models of transport systems using the …
technological approach based on mathematical models of transport systems using the …
An intelligent offloading system based on multiagent reinforcement learning
Y Weng, H Chu, Z Shi - Security and Communication Networks, 2021 - Wiley Online Library
Intelligent vehicles have provided a variety of services; there is still a great challenge to
execute some computing‐intensive applications. Edge computing can provide plenty of …
execute some computing‐intensive applications. Edge computing can provide plenty of …