Intelligent decision-making framework for agriculture supply chain in emerging economies: Research opportunities and challenges
In emerging economies such as India, Pakistan, and China, the Agricultural Supply Chain
(ASC) holds significant importance. While developed countries have embraced advanced …
(ASC) holds significant importance. While developed countries have embraced advanced …
Implicit personalization in driving assistance: State-of-the-art and open issues
In recent decades, driving assistance systems have been evolving towards personalization
for adapting to different drivers. With the consideration of driving preferences and driver …
for adapting to different drivers. With the consideration of driving preferences and driver …
Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization
Y Ning, L Du - Transportation research part B: methodological, 2023 - Elsevier
With the rapid development of wireless communication, mobile computing, and GPS
technologies, drivers' route decisions nowadays rely more on navigation services, such as …
technologies, drivers' route decisions nowadays rely more on navigation services, such as …
An eco-friendly multimodal route guidance system for urban areas using multi-agent technology
Featured Application The proposed research is beneficial in two main ways. Firstly,
commuters are empowered to receive route guidance that incorporates a mix of transport …
commuters are empowered to receive route guidance that incorporates a mix of transport …
[HTML][HTML] Proportionally fair flow markets for transportation networks
The concept of proportionally fair markets for transportation networks is studied. The goal is
to find methods for flow allocation to origin/destination pairs in urban communities which is …
to find methods for flow allocation to origin/destination pairs in urban communities which is …
Learning for multiple-relay selection in a vehicular delay tolerant network
Y Dong, F Zhang, I Joe, H Lin, W Jiao, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
In a vehicular delay tolerant network (VDTN), there is no static connection, and the network
behavior is highly temporal. This makes determining the routing protocol critical for the …
behavior is highly temporal. This makes determining the routing protocol critical for the …
Temporal multimodal multivariate learning
We introduce temporal multimodal multivariate learning, a new family of decision making
models that can indirectly learn and transfer online information from simultaneous …
models that can indirectly learn and transfer online information from simultaneous …
Backpressure-based distributed dynamic route control for connected and automated vehicles
This study focuses on the dynamic route control (DRC) problem for connected and
automated vehicles (CAVs). The problem is usually solved using two popular methods, ie …
automated vehicles (CAVs). The problem is usually solved using two popular methods, ie …
Learning routing policies in a disrupted, congestible network with real-time information: An experimental approach
The roles of learning, inertia and real-time travel information on route choices in a highly
disrupted network are investigated, based on data from a laboratory competitive route …
disrupted network are investigated, based on data from a laboratory competitive route …
Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain
C Wang, S Peeta - Sensors, 2024 - mdpi.com
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With
the advances in connected technologies, incentive mechanisms for collaborative routing …
the advances in connected technologies, incentive mechanisms for collaborative routing …