Cooperative Strategies of Integrated Satellite/Terrestrial Systems for Emergencies

2010 ◽  
pp. 409-424 ◽  
Author(s):  
Simone Morosi ◽  
Sara Jayousi ◽  
Enrico Del Re
Keyword(s):  
Cooperative Strategies

scholarly journals Traffic Flow Management of Autonomous Vehicles Using Platooning and Collision Avoidance Strategies

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1221
Author(s):  
Anum Mushtaq ◽  
Irfan ul Haq ◽  
Wajih un Nabi ◽  
Asifullah Khan ◽  
Omair Shafiq
Keyword(s):  
Traffic Flow ◽  
Collision Avoidance ◽  
Autonomous Vehicles ◽  
Flow Management ◽  
V2v Communication ◽  
Cooperative Strategies ◽  
Vehicle To Vehicle ◽  
Traffic Flow Management ◽  
Vehicle To Infrastructure ◽  
Formation And Evolution

Connected Autonomous Vehicles (AVs) promise innovative solutions for traffic flow management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication depends on wireless technology where vehicles can communicate with each other about obstacles and make cooperative strategies to avoid these obstacles. Vehicle-to-Infrastructure (V2I) also helps vehicles to make use of infrastructural components to navigate through different paths. This paper proposes an approach based on swarm intelligence for the formation and evolution of platoons to maintain traffic flow during congestion and collision avoidance practices using V2V and V2I communications. In this paper, we present a two level approach to improve traffic flow of AVs. At the first level, we reduce the congestion by forming platoons and study how platooning helps vehicles deal with congestion or obstacles in uncertain situations. We performed experiments based on different challenging scenarios during the platoon’s formation and evolution. At the second level, we incorporate a collision avoidance mechanism using V2V and V2I infrastructures. We used SUMO, Omnet++ with veins for simulations. The results show significant improvement in performance in maintaining traffic flow.

Public goods game with the interdependence of different cooperative strategies

2021 ◽  
Vol 146 ◽  
pp. 110871
Author(s):  
Chaoqian Wang ◽  
Qiuhui Pan ◽  
Xinxiang Ju ◽  
Mingfeng He
Keyword(s):  
Public Goods ◽  
Public Goods Game ◽  
Cooperative Strategies

scholarly journals Cooperative Strategies for Simultaneous and Broadcast Relay Channels

2013 ◽  
Vol 59 (3) ◽  
pp. 1417-1443 ◽  
Author(s):  
A. Behboodi ◽  
P. Piantanida
Keyword(s):  
Relay Channels ◽  
Cooperative Strategies

The analysis of evolutionary prisoner’s dilemma game based on weighting effect

2021 ◽  
pp. 2150066
Author(s):  
Xinting Hu ◽  
Mengyun Wu
Keyword(s):  
Prisoner's Dilemma ◽  
Weighting Function ◽  
Random Network ◽  
Cooperative Behavior ◽  
Equilibrium Points ◽  
Prisoner’S Dilemma ◽  
The Real ◽  
Scale Free ◽  
Cooperative Strategies ◽  
Average Payoff

In this paper, an improved evolutionary prisoner’s dilemma (PD) game model is proposed by considering the weighting effect. Taking into account individual’s perceived payoff (benefits), the evolutionary tendency of the cooperators and three equilibrium points of the proposed model are obtained. We then numerically investigate how different exterior and interior factors influence on individuals’ cooperative behavior and their payoff both in the ER random network and the BA scale-free network. Our results reveal that the heterogeneous network structure is conducive to cooperation. In addition, the existence of leader nodes is an important driving force for promoting individuals’ cooperation. By further analyzing the rationality coefficient which appears in the weighting function, we obtain that a greater of irrationality could lead more people to take cooperative strategies. Finally, two indicators which are used to measure the real average payoff and perceived average payoff are defined. The results show that the real average payoff and perceived average payoff are larger in the heterogeneity network than that in homogeneous network.

scholarly journals Multi-UAV Path Planning for Autonomous Missions in Mixed GNSS Coverage Scenarios

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4188 ◽  
Author(s):  
Flavia Causa ◽  
Giancarmine Fasano ◽  
Michele Grassi
Keyword(s):  
Path Planning ◽  
Computational Cost ◽  
Variable Number ◽  
Global Navigation Satellite Systems ◽  
Routing Problem ◽  
Satellite Systems ◽  
Cooperative Strategies ◽  
Planning Methods ◽  
Global Navigation Satellite ◽  
Multi Uav

This paper presents an algorithm for multi-UAV path planning in scenarios with heterogeneous Global Navigation Satellite Systems (GNSS) coverage. In these environments, cooperative strategies can be effectively exploited when flying in GNSS-challenging conditions, e.g., natural/urban canyons, while the different UAVs can fly as independent systems in the absence of navigation issues (i.e., open sky conditions). These different flight environments are taken into account at path planning level, obtaining a distributed multi-UAV system that autonomously reconfigures itself based on mission needs. Path planning, formulated as a vehicle routing problem, aims at defining smooth and flyable polynomial trajectories, whose time of flight is estimated to guarantee coexistence of different UAVs at the same challenging area. The algorithm is tested in a simulation environment directly derived from a real-world 3D scenario, for variable number of UAVs and waypoints. Its solution and computational cost are compared with optimal planning methods. Results show that the computational burden is almost unaffected by the number of UAVs, and it is compatible with near real time implementation even for a relatively large number of waypoints. The provided solution takes full advantage from the available flight resources, reducing mission time for a given set of waypoints and for increasing UAV number.

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