Geospatial data for peer-to-peer communication among autonomous vehicles using optimized machine learning algorithm
The transportation infrastructure of the future will be based on autonomous vehicles. When it
comes to transportation, both emerging and established nations are keen on perfecting …
comes to transportation, both emerging and established nations are keen on perfecting …
ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms
B Li, Y Cheng, Y Yuan, Y Yang, QQ Jin… - Proceedings of the VLDB …, 2023 - dl.acm.org
Spatial platforms have become increasingly important in people's daily lives. Task
assignment is a critical problem in these platforms that matches real-time orders to suitable …
assignment is a critical problem in these platforms that matches real-time orders to suitable …
Communication-wise Comparison of the Online Resource Allocation Methods in CAV Fleets
Abstract Deploying fleets of Connected Autonomous Vehicles (CAVs), with limited peer-to-
peer communication ranges, in order to provide On-demand Transport (ODT) services …
peer communication ranges, in order to provide On-demand Transport (ODT) services …
Towards explainable recommendations of resource allocation mechanisms in on-demand transport fleets
Multi-agent systems can be considered a natural paradigm when modeling various
transportation systems, whose management involves solving hard, dynamic, and distributed …
transportation systems, whose management involves solving hard, dynamic, and distributed …
Effective utilisation of Geospatial Data for peer-to-peer communication among autonomous vehicles using Optimized Machine learning algorithm
The transportation infrastructure of the future will be based on autonomous vehicles. When it
comes to transportation, both emerging and established nations are keen on perfecting …
comes to transportation, both emerging and established nations are keen on perfecting …
A Survey on the Use of the Multi-agent Paradigm in Coordination of Connected and Autonomous Vehicles
G Cabri, L Leonardi, E Rotonda - International Symposium on Intelligent …, 2022 - Springer
A Survey on the Use of the Multi-agent Paradigm in Coordination of Connected and
Autonomous Vehicles | SpringerLink Skip to main content Advertisement SpringerLink Account …
Autonomous Vehicles | SpringerLink Skip to main content Advertisement SpringerLink Account …
Un modèle agent générique pour la comparaison d'approches d'allocation de ressources dans le domaine du transport à la demande
Les problèmes d'allocation sont d'importance majeure dans la gestion des systèmes de
transport à la demande (ODT). Ils ont été étudiés pendant des décennies, et diverses …
transport à la demande (ODT). Ils ont été étudiés pendant des décennies, et diverses …
Continuous Learning and Cooperative Prediction Based on Adaptive Multi-Agent System Applied for Traffic Dynamics Prediction
HN Ngo - 2024 - theses.hal.science
Rapid advances in hardware, software, and communication technologies of transportation
systems have come up with both promising opportunities and significant challenges for …
systems have come up with both promising opportunities and significant challenges for …
Logistics support planning model in the conditions of limited resources
NB Simić, MA Milenkov, VR Milovanović… - Vojnotehnički …, 2022 - aseestant.ceon.rs
Sažetak Uvod: U radu je predstavljen model planiranja logističke podrške u uslovima
ograničenih logističkih resursa na osnovu prioritizacije zahteva kupaca i alokacije resursa …
ograničenih logističkih resursa na osnovu prioritizacije zahteva kupaca i alokacije resursa …
What Can We Learn from On-Demand Transit Services for Ridership? A Case Study at the City of Regina, Canada
Y Tang, D Abdullah, A Adewuyi, N Luhning… - Canadian Society of Civil …, 2022 - Springer
The urgent need to optimize operational efficiency, boost ridership, enlarge effective
communication technologies, and improve customer convenience has led to the emergence …
communication technologies, and improve customer convenience has led to the emergence …