scholarly journals Autonomous Vehicle Simulation Model to Assess Potential Collisions to Reduce Severity of Impacts

2018 ◽  
Author(s):  
Alex Gilbert ◽  
Dobrila Petrovic ◽  
Kevin Warwick ◽  
Vasilis Serghi
Keyword(s):  
Simulation Model ◽  
Autonomous Vehicle ◽  
Vehicle Simulation

Hardware-in-the-Loop, Traffic-in-the-Loop and Software-in-the-Loop Autonomous Vehicle Simulation for Mobility Studies

2020 ◽  
Author(s):  
Karina Meneses Cime ◽  
Mustafa Ridvan Cantas ◽  
Garrett Dowd ◽  
Levent Guvenc ◽  
Bilin Aksun Guvenc ◽  
...  
Keyword(s):  
Autonomous Vehicle ◽  
Hardware In The Loop ◽  
Vehicle Simulation ◽  
Mobility Studies

Autonomous Vehicle Simulation Project

2013 ◽  
Vol 7 (5) ◽  
pp. 393-402 ◽  
Author(s):  
Sangho Lee ◽  
Janghee Cho ◽  
Da Young Ju
Keyword(s):  
Autonomous Vehicle ◽  
Vehicle Simulation

Simulation Analysis of Vehicle Crosswind Stability in ADAMS/CAR

2012 ◽  
Vol 182-183 ◽  
pp. 883-887
Author(s):  
Hong Yu Jiao ◽  
Kai Zhang ◽  
Ying Li ◽  
Hao Liu
Keyword(s):  
Simulation Model ◽  
Simulation Analysis ◽  
Aerodynamic Force ◽  
Step Function ◽  
Wind Pressure ◽  
Simulation Test ◽  
Vehicle Simulation ◽  
Crosswind Stability ◽  
Vehicle Test ◽  
The Mathematical Model

The vehicle simulation model of 78-DOF is built based on ADAMS/CAR. Both rationality and accuracy of simulation model are verified by comparison analysis methods between real vehicle test and virtual simulation test. The mathematical model of wind pressure center and lateral aerodynamic force are formulated by using the STEP function. The simulation results indicate that the vehicle has the excellent crosswind stability and congruent dynamic response, which agrees with United States (ESV) standard.

scholarly journals Development of the unmanned aerial vehicle safe flight trajectorycalculation and adjustment process immitation model

2020 ◽  
Vol 69 (4) ◽  
Author(s):  
O. A. Zolotukhina ◽  
◽  
D. G. Voloshyn ◽  
V. V. Davydov ◽  
V. О. Brechko ◽  
...  
Keyword(s):  
Simulation Model ◽  
Unmanned Aerial Vehicle ◽  
Three Dimensional ◽  
System Structure ◽  
Adjustment Process ◽  
Software System ◽  
Graphical Interface ◽  
Flight Trajectory ◽  
Vehicle Simulation ◽  
Aerial Vehicle

The article is devoted to the development and research the unmanned aerial vehicle safe flight trajectory calculation and adjustment process imitation model. The main distinguishing feature of the presented model is taking into account the signals of radar stations during the determination and adjustment the location of the aerial vehicle in the case of an autonomous flight and adapting the route based on possible obstacles and deviations. This will improve the safety of the unmanned aerial vehicle flight trajectory. Main studies of path planning methods approaches are analyzed. It was concluded that two-dimensional representation and visualization has disadvantages. Based on disadvantages, the three-dimensional calculated trajectory visualization of a flight mission by an unmanned aerial vehicle simulation model is developed. The simulation model combines the solution of following subtasks: a) modeling a three-dimensional environment with obstacles; b) building an unmanned aerial vehicle trajectory in such environment with avoidance the obstacles. Missions simulation is performed based on developed software system, sequentially, step by step. The following results of the simulation are achieved: 1) a special graphical interface for entering input data and displaying the results is developed; 2) the subsystem for simulation the space for performing a flight task taking into account the location and signals of external influences (for example, radar stations) was developed; 3) the subsystem for flight trajectory simulation calculation and visualization is developed. The software system is built using Delphi based on modular basis. The functional software system structure and the order of each functional module operation are described in article. The system’s graphical interface structure is discussed separately. An example of calculating and adjusting the safe flight trajectory of an unmanned aerial vehicle is illustrated.

Survey on Autonomous Vehicle Simulation Platforms

2021 ◽  
Author(s):  
Guang Yang ◽  
Yunzhi Xue ◽  
Lingzhong Meng ◽  
Pengqi Wang ◽  
Yuan Shi ◽  
...  
Keyword(s):  
Autonomous Vehicle ◽  
Vehicle Simulation
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