Design of Platoon Controller with V2V Communication for Highways

2017 ◽

Vol 7 (7) ◽

pp. 236

Author(s):

Rajesh Kumar Gupta ◽

L. N. Padhy ◽

Sanjay Kumar Padhi

Keyword(s):

Traffic Flow ◽

Traffic Congestion ◽

Urban Areas ◽

Adaptive Cruise Control ◽

Human Perception ◽

Cruise Control ◽

Driving System ◽

V2v Communication ◽

Traffic Conditions ◽

Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay. For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

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Sensitivity analysis on a dynamic coupling model for V2V communication distance control

Procedia Computer Science ◽

10.1016/j.procs.2021.03.047 ◽

2021 ◽

Vol 184 ◽

pp. 372-379

Author(s):

Darko Frtunik ◽

Amolika Sinha ◽

Hanna Grzybowska ◽

Navreet Virdi ◽

S. Travis Waller ◽

...

Keyword(s):

Sensitivity Analysis ◽

Coupling Model ◽

Dynamic Coupling ◽

V2v Communication ◽

Distance Control ◽

Communication Distance ◽

Dynamic Coupling Model

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Zone Encryption with Anonymous Authentication for V2V Communication

2020 IEEE European Symposium on Security and Privacy (EuroS&P) ◽

10.1109/eurosp48549.2020.00033 ◽

2020 ◽

Author(s):

Jan Camenisch ◽

Manu Drijvers ◽

Anja Lehmann ◽

Gregory Neven ◽

Patrick Towa

Keyword(s):

Anonymous Authentication ◽

V2v Communication

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Design of Antenna Configuration for Interference Control in MmWave V2V Communication Systems

2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) ◽

10.1109/vtc2020-fall49728.2020.9348872 ◽

2020 ◽

Author(s):

Yue Yin ◽

Haoze Cliei ◽

Zongdian Li ◽

Ryuichi Fukatsu ◽

Tao Yu ◽

...

Keyword(s):

Communication Systems ◽

Interference Control ◽

V2v Communication ◽

Antenna Configuration

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Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections

Sensors ◽

10.3390/s21092956 ◽

2021 ◽

Vol 21 (9) ◽

pp. 2956

Author(s):

Hojin Kang Kim ◽

Raimundo Becerra ◽

Sandy Bolufé ◽

Cesar A. Azurdia-Meza ◽

Samuel Montejo-Sánchez ◽

...

Keyword(s):

Antenna Array ◽

Adaptive Beamforming ◽

Ieee 802.11P ◽

Adaptive Antenna ◽

Communication Link ◽

Learning Approaches ◽

Vehicular Communication ◽

Communication Range ◽

V2v Communication ◽

Mutation Strategy

The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their damages. However, in urban environments, especially at intersection scenarios, obstacles such as buildings and walls block the line of sight between the transmitter and receiver, reducing the vehicular communication range and thus harming the performance of road safety applications. Furthermore, the sizes of the surrounding vehicles and weather conditions may affect the communication. This makes communications in urban V2V communication scenarios extremely difficult. Since the late notification of vehicles or incidents can lead to the loss of human lives, this paper focuses on improving urban vehicle-to-vehicle (V2V) communications at intersections by using a transmission scheme able of adapting to the surrounding environment. Therefore, we proposed a neuroevolution of augmenting topologies-based adaptive beamforming scheme to control the radiation pattern of an antenna array and thus mitigate the effects generated by shadowing in urban V2V communication at intersection scenarios. This work considered the IEEE 802.11p standard for the physical layer of the vehicular communication link. The results show that our proposal outperformed the isotropic antenna in terms of the communication range and response time, as well as other traditional machine learning approaches, such as genetic algorithms and mutation strategy-based particle swarm optimization.

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

Electronics ◽

10.3390/electronics10101221 ◽

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.

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Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

Future Internet ◽

10.3390/fi13030068 ◽

2021 ◽

Vol 13 (3) ◽

pp. 68

Author(s):

Steven Knowles Flanagan ◽

Zuoyin Tang ◽

Jianhua He ◽

Irfan Yusoff

Keyword(s):

High Reliability ◽

Base Station ◽

Ieee 802.11P ◽

Packet Losses ◽

The Road ◽

V2v Communication ◽

Stopping Distance ◽

Vehicle To Vehicle ◽

V2v Communications ◽

On The Road

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

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