scholarly journals Acceptability Evaluation of Inter-driver Interaction via a Vehicle Agent Using Vehicle-to-Vehicle Communication on a Driving Simulator

2021 ◽  
Vol 29 (0) ◽  
pp. 667-675
Author(s):  
Toshiyuki Hagiya ◽  
Kazunari Nawa
Keyword(s):  
Driving Simulator ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication

scholarly journals Study on Pre-Deceleration Running in Encounters with Emergency Vehicles Using Vehicle to Vehicle Communications

2019 ◽  
Vol 18 (3) ◽  
pp. 381-390
Author(s):  
Hideaki Nanba ◽  
Manabu Sawada ◽  
Koji Oguri
Keyword(s):  
Experimental Data ◽  
Driving Simulator ◽  
Ride Comfort ◽  
Red Light ◽  
Emergency Vehicle ◽  
Automated Driving ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication ◽  
Emergency Vehicles

AbstractThere is a problem of coordination in encounters with an emergency vehicle when an automated driving vehicle travels on public roads. Effectiveness of the pre-deceleration running based on the earlier recognition of emergency vehicle using vehicle to vehicle communication is studied from the viewpoint of safety and ride comfort. Experimental data of the driver’s maneuver and vehicle’s status are collected and analyzed using the driving simulator. Recognition by vehicle to vehicle communication (V2V for short) leads to pre-deceleration and improves deceleration and jerk as compared to siren sound and red light of emergency vehicles.

scholarly journals State Estimation for Cooperative Lateral Vehicle Following Using Vehicle-to-Vehicle Communication

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 651
Author(s):  
Wouter Schinkel ◽  
Tom van der Sande ◽  
Henk Nijmeijer
Keyword(s):  
State Estimation ◽  
Cooperative Control ◽  
The State ◽  
State Estimator ◽  
Estimation Process ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Control Schemes ◽  
Input Signals ◽  
Vehicle To Vehicle Communication

A cooperative state estimation framework for automated vehicle applications is presented and demonstrated via simulations, the estimation framework is used to estimate the state of a lead and following vehicle simultaneously. Recent developments in the field of cooperative driving require novel techniques to ensure accurate and stable vehicle following behavior. Control schemes for the cooperative control of longitudinal and lateral vehicle dynamics generally require vehicle state information about the lead vehicle, which in some cases cannot be accurately measured. Including vehicle-to-vehicle communication in the state estimation process can provide the required input signals for the practical implementation of cooperative control schemes. This study is focused on demonstrating the benefits of using vehicle-to-vehicle communication in the state estimation of a lead and following vehicle via simulations. The state estimator, which uses a cascaded Kalman filtering process, takes the operating frequencies of different sensors into account in the estimation process. Simulation results of three different driving scenarios demonstrate the benefits of using vehicle-to-vehicle communication as well as the attenuation of measurement noise. Furthermore, in contrast to relying on low frequency measurement data for the input signals of cooperative control schemes, the state estimator provides a state estimate at every sample.

Index Coded PSK Modulation in Vehicle to Vehicle Communication

2021 ◽  
pp. 1-1
Author(s):  
Jesy Pachat ◽  
Nujoom Sageer Karat ◽  
Anjana Ambika Mahesh ◽  
Deepthi P P ◽  
Sundar Rajan
Keyword(s):  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication

Low Cost and Modular Approach to Real-Time Vehicle to Vehicle Communication using Wi-Fi

2021 ◽  
Author(s):  
Sanjay M Santhosh ◽  
S Hari Sankar ◽  
G Balagopal ◽  
A U Jayakrishnan ◽  
Shehan P Rajendran ◽  
...  
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Modular Approach ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication
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