scholarly journals GNSS/Electronic Compass/Road Segment Information Fusion for Vehicle-to-Vehicle Collision Avoidance Application

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2724 ◽  
Author(s):  
Rui Sun ◽  
Qi Cheng ◽  
Dabin Xue ◽  
Guanyu Wang ◽  
Washington Ochieng
Keyword(s):  
Collision Avoidance ◽  
Information Fusion ◽  
Road Segment ◽  
Vehicle To Vehicle ◽  
Vehicle Collision ◽  
Electronic Compass ◽  
Segment Information

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.

Vehicle Collision Avoidance

2020 ◽  
pp. 53-64
Author(s):  
Khawla A. Alnajjar ◽  
Noora Abdulrahman ◽  
Fatma Mahdi ◽  
Marwah Alramsi
Keyword(s):  
Collision Avoidance ◽  
Vehicle Collision
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