The Influence of Road Surface Properties on Vehicle Suspension Parameters Optimized for Ride - Design Trends for Global Markets

2012 ◽  
Vol 5 (1) ◽  
pp. 404-412
Author(s):  
Bhaskar Chaturvedi ◽  
Timothy Gordon ◽  
Steven Karamihas
Keyword(s):  
Surface Properties ◽  
Road Surface ◽  
Global Markets ◽  
Vehicle Suspension ◽  
Suspension Parameters

Analysis, Design, and Optimization of High Speed Vehicle Suspensions Using State Variable Techniques

1974 ◽  
Vol 96 (2) ◽  
pp. 193-203 ◽  
Author(s):  
J. K. Hedrick ◽  
G. F. Billington ◽  
D. A. Dreesbach
Keyword(s):  
High Speed ◽  
Optimization Problems ◽  
Vertical Plane ◽  
Computer Application ◽  
Vehicle Suspension ◽  
State Variables ◽  
State Variable ◽  
Suspension Parameters ◽  
Suspension Model ◽  
High Speed Vehicle

This article applies state variable techniques to high speed vehicle suspension design. When a reasonably complex suspension model is treated, the greater adaptability of state variable techniques to digital computer application makes it more attractive than the commonly used integral transform method. A vehicle suspension model is developed, state variable techniques are applied, numerical methods are presented, and, finally, an optimization algorithm is chosen to select suspension parameters. A fairly complete bibliography is included in each of these areas. The state variable technique is illustrated in the solution of two suspension optimization problems. First, the vertical plane suspension of a high speed vehicle subject to guideway and aerodynamic inputs will be analyzed. The vehicle model, including primary and secondary suspension systems, and subject to both heave and pitch motions, has thirteen state variables. Second, the horizontal plane suspension of a high speed vehicle subject to guideway and lateral aerodynamic inputs is analyzed. This model also has thirteen state variables. The suspension parameters of both these models are optimized. Numerical results are presented for a representative vehicle, showing time response, mean square values, optimized suspension parameters, system eigenvalues, and acceleration spectral densities.

scholarly journals Sight distance analyses for autonomous vehicles in Civil 3D

2021 ◽  
Author(s):  
Khalil Khaska ◽  
Dániel Miletics
Keyword(s):  
Reaction Time ◽  
Human Factors ◽  
Surface Properties ◽  
Autonomous Vehicles ◽  
Road Surface ◽  
Eye Position ◽  
Road Design ◽  
Sight Distance ◽  
Automation Level ◽  
Self Driving Cars

AbstractNowadays, self-driving cars have a wide reputation among people that is constantly increasing, many manufacturers are developing their own autonomous vehicles. These vehicles are equipped with various sensors that are placed at several points in the car. These sensors provide information to control the vehicle (partially or completely, depending on the automation level). Sight distances on roads are defined according to various traffic situations (stopping, overtaking, crossing, etc.). Safety reasons require these sight distances, which are calculated from human factors (e.g., reaction time), vehicle characteristics (e.g., eye position, brakes), road surface properties, and other factors. Autodesk Civil 3D is a widely used tool in the field of road design, the software however was developed based on the characteristics of the human drivers and conventional vehicles.

Tyre/road noise: Influence of multi-asperity road surface properties on tyre-road contact stresses

2013 ◽  
Vol 61 (4) ◽  
pp. 400-406
Author(s):  
Julien Cesbron ◽  
Guillaume Dubois ◽  
Fabienne Anfosso-Ledee ◽  
Hai Ping Yin
Keyword(s):  
Surface Properties ◽  
Contact Stresses ◽  
Road Surface ◽  
Road Noise

Road-surface properties affecting rates of energy dissipation from vehicles

2009 ◽  
Vol 86 (9) ◽  
pp. 1692-1696 ◽  
Author(s):  
E.A. Igwe ◽  
M.J. Ayotamuno ◽  
R.N. Okparanma ◽  
S.O.T. Ogaji ◽  
S.D. Probert
Keyword(s):  
Energy Dissipation ◽  
Surface Properties ◽  
Road Surface

Optimal Active Control of Vehicle Suspension System Including Time Delay and Preview for Rough Roads

2002 ◽  
Vol 8 (7) ◽  
pp. 967-991 ◽  
Author(s):  
Javad Marzbanrad ◽  
Goodarz Ahmadi ◽  
Yousef Hojjat ◽  
Hassan Zohoor
Keyword(s):  
Ride Comfort ◽  
Three Dimensional ◽  
Suspension System ◽  
Road Surface ◽  
Vehicle Suspension ◽  
Control Force ◽  
Preview Control ◽  
The Road ◽  
Road Surface Roughness ◽  
Vehicle Suspension System

An optimal preview control of a vehicle suspension system traveling on a rough road is studied. A three-dimensional seven degree-of-freedom car-riding model and several descriptions of the road surface roughness heights, including haversine (hole/bump) and stochastic filtered white noise models, are used in the analysis. It is assumed that contact-less sensors affixed to the vehicle front bumper measure the road surface height at some distances in the front of the car. The suspension systems are optimized with respect to ride comfort and road holding preferences including accelerations of the sprung mass, tire deflection, suspension rattle space and control force. The performance and power demand of active, active and delay, active and preview systems are evaluated and are compared with those for the passive system. The results show that the optimal preview control improves all aspects of the vehicle suspension performance while requiring less power. Effects of variation of preview time and variations in the road condition are also examined.

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