Measurements on V2V Communication Quality in a Vehicle Platooning Application

2014 ◽  
pp. 35-48 ◽  
Author(s):  
Carl Bergenhem ◽  
Rolf Johansson ◽  
Erik Coelingh
Keyword(s):  
Communication Quality ◽  
V2v Communication ◽  
Vehicle Platooning

V2V communication quality with multi-antenna in field assessments and simulations

2014 ◽  
Author(s):  
Kenta Wako ◽  
Hirofumi Onishi ◽  
Fumio Watanabe ◽  
Fanny Mlinarsky ◽  
Tutomu Murase ◽  
...  
Keyword(s):  
Communication Quality ◽  
V2v Communication

scholarly journals Decentralized Platoon Join-in-Middle Protocol Considering Communication Delay for Connected and Automated Vehicle

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7126
Author(s):  
Geonil Lee ◽  
Jae-il Jung
Keyword(s):  
Communication Delay ◽  
Planning System ◽  
Transport Systems ◽  
Cruise Control ◽  
Automated Vehicle ◽  
V2v Communication ◽  
Cooperative Adaptive Cruise Control ◽  
Vehicle Platooning ◽  
Management Protocol ◽  
V2v Communications

Cooperative driving is an essential component of intelligent transport systems (ITSs). It promises greater safety, reduced accidents, efficient traffic flow, and fuel consumption reduction. Vehicle platooning is a representative service model for ITS. The principal sub-systems of platooning systems for connected and automated vehicles (CAVs) are cooperative adaptive cruise control (CACC) systems and platoon management systems. Based on vehicle state information received through vehicle-to-vehicle (V2V) communication, the CACC system allows platoon vehicles to maintain a narrower safety distance. In addition, the platoon management system using V2V communications allows vehicles to perform platoon maneuvers reliably and accurately. In this paper, we propose a CACC system with a variable time headway and a decentralized platoon join-in-middle maneuver protocol with a trajectory planning system considering the V2V communication delay for CAVs. The platoon join-in-middle maneuver is a challenging research subject as the research must consider the requirement of a more precise management protocol and lateral control for platoon safety and string stability. These CACC systems and protocols are implemented on a simulator for a connected and automated vehicle system, PreScan, and we validated our approach using a realistic control system and V2V communication system provided by PreScan.

Research on Longitudinal Spacing Control for a Simulated Vehicle Platooning System

ICTIS 2011 ◽  
2011 ◽  
Author(s):  
Xinyu Liu ◽  
Yulin Ma ◽  
Qing Wu ◽  
Xinglong Liu
Keyword(s):  
Vehicle Platooning

HOW TO IMPROVE COMMUNICATION QUALITY IN SNS

2016 ◽  
Author(s):  
Kyounghee Chu ◽  
Doo-Hee Lee ◽  
Grace Yeunhe Kim ◽  
Ji Yoon Kim
Keyword(s):  
Communication Quality

Smart Driving System for Improving Traffic Flow

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.

scholarly journals Network Topology Impact on the Identification of Dynamic Network Models with Application to Autonomous Vehicle Platooning

2020 ◽  
Vol 53 (2) ◽  
pp. 1031-1036
Author(s):  
Guilherme A. Pimentel ◽  
Rafael de Vasconcelos ◽  
Aurélio Salton ◽  
Alexandre Bazanella
Keyword(s):  
Network Topology ◽  
Autonomous Vehicle ◽  
Dynamic Network ◽  
Network Models ◽  
Dynamic Network Models ◽  
Vehicle Platooning
Sign in / Sign up

Export Citation Format

Share Document