A model based Collision Avoidance algorithm for heavy commercial vehicles
04 Jun 2014-pp 3213-3218
TL;DR: The work presented in this paper focuses on the inclusion of important air brake system parameters such as brake time delay and brake response time in calculating the deceleration of the vehicle.
Abstract: Collision Warning and Collision Avoidance (CW/CA) systems are automotive safety technologies that assist drivers in avoiding a collision. In this paper, a collision avoidance (CA) algorithm is proposed for heavy commercial vehicles based on a safe distance and a safe relative velocity. The work presented in this paper focuses on the inclusion of important air brake system parameters such as brake time delay and brake response time in calculating the deceleration of the vehicle. The proposed algorithm also considers dynamic phenomenon such as the load transfer during braking, the dynamic brake force distribution between the wheels and the maximum braking force developed. The proposed algorithm is simulated for various real traffic scenarios and the results are found to be promising.
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TL;DR: Comparative experiments with non-transfer methods indicate that the proposed framework obtains a higher accuracy in recognizing BIL in the car following scenario, especially when sufficient data are not available.
Abstract: Accurately recognizing braking intensity levels (BIL) of drivers is important for guaranteeing the safety and avoiding traffic accidents in intelligent transportation systems. In this paper, an instance-level transfer learning (TL) framework is proposed to recognize BIL for a new driver with insufficient driving data by combining Gaussian Mixture Model (GMM) and importance weighted least squares probabilistic classifier (IWLSPC). By considering the statistic distribution, GMM is applied to cluster the data of braking behaviors into three levels with different intensities. With the density ratio calculated by unconstrained least-square importance fitting (ULSIF), LSPC is modified as IWLSPC to transfer the knowledge from one driver to another and recognize BIL for a new driver with insufficient driving data. Comparative experiments with non-transfer methods indicate that the proposed framework obtains a higher accuracy in recognizing BIL in the car following scenario, especially when sufficient data are not available.
12 citations
01 Dec 2014
TL;DR: The developed controller for collision avoidance in a heavy commercial road vehicle has been developed using Lyapunov theory and it was observed that the non-linear controller has an advantage in terms of reduced time headway.
Abstract: In this paper, a non-linear controller for collision avoidance in a heavy commercial road vehicle has been developed using Lyapunov theory. This paper considers the longitudinal dynamics of the vehicle, including the aerodynamic effect, the rolling resistance and the road grade. This paper also considers the maximum tire-road adhesion capacity and the braking capability of the vehicle. The developed controller has been tested using simulation for three realistic scenarios for different road and loading conditions and the results were compared with a controller developed using a linear full state feedback controller. It was observed that the non-linear controller has an advantage in terms of reduced time headway.
1 citations
Additional excerpts
...A proportionalintegral-derivative (PID) controller has been developed to control the brake chamber pressure [11]....
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...The advantage of the EPB is that it reduces the brake time delay and the brake response time [11]....
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...where k1 and k2 are the design parameters whose values were determined from stability and performance requirements [11]....
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References
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Book•
13 Dec 1978
TL;DR: In this article, the authors present an approach to the prediction of normal pressure distribution under a track and a simplified method for analysis of tracked vehicle performance, based on the Cone Index.
Abstract: Preface. Preface to the Third Edition. Preface to the Second Edition. Preface to the First Edition. Conversion Factors. Nomenclature. Introduction. 1. MECHANICS OF PNEUMATIC TIRES. 1.1 Tire Forces and Moments. 1.2 Rolling Resistance of Tires. 1.3 Tractive (Braking) Effort and Longitudinal Slip (Skid). 1.4 Cornering Properties of Tires. 1.4.1 Slip Angle and Cornering Force. 1.4.2 Slip Angle and Aligning Torque. 1.4.3 Camber and Camber Thrust. 1.4.4 Characterization of Cornering Behavior of. Tires. 1.5 Performance of Tires on Wet Surfaces. 1.6 Ride Properties of Tires. References. Problems. 2. MECHANICS OF VEHICLE-TERRAIN INTERACTION--TERRAMECHANICS. 2.1 Distribution of Stresses in the Terrain Under Vehicular Loads. 2.2 Applications of the Theory of Plastic Equilibrium to the Mechanics of Vehicle--Terrain Interaction. 2.3 Empirical Methods for Predicting Off-Road Vehicle Performance. 2.3.1 Empirical Methods Based on the Cone Index. 2.3.2 Empirical Methods Based on the Mean Maximum Pressure. 2.4 Measurement and Characterization of Terrain Response. 2.4.1 Characterization of Pressure-Sinkage Relationship. 2.4.2 Characterization of the Response to Repetitive Loading. 2.4.3 Characterization of the Shear Stress-Shear Displacement Relationship. 2.5 A Simplified Method for Analysis of Tracked Vehicle Performance. 2.5.1 Motion Resistance of a Track. 2.5.2 Tractive Effort and Slip of a Track. 2.6 A Computer-Aided Method for Evaluating the Performance of Vehicles with Flexible Tracks. 2.6.1 Approach to the Prediction of Normal Pressure Distribution under a Track. 2.6.2 Approach to the Prediction of Shear Stress Distribution under a Track. 2.6.3 Prediction of Motion Resistance and Drawbar Pull as Functions of Track Slip. 2.6.4 Experimental Substantiation. 2.6.5 Applications to Parametric Analysis and Design Optimization. 2.7 A Computer-Aided Method for Evaluating the Performance of Vehicles with Long-Pitch Link Tracks. 2.7.1 Basic Approach. 2.7.2 Experimental Substantiation. 2.7.3 Applications to Parametric Analysis and Design Optimization. 2.8 Methods for Parametric Analysis of Wheeled Vehicle Performance. 2.8.1 Motion Resistance of a Rigid Wheel. 2.8.2 Motion Resistance of a Pneumatic Tire. 2.8.3 Tractive Effort and Slip of a Wheel. 2.9 A Computer-Aided Method for Evaluating the Performance of Off-Road Wheeled Vehicles. 2.9.1 Basic Approach. 2.9.2 Experimental Substantiation. 2.9.3 Applications to Parametric Analysis. 2.10 Finite Element and Discrete Element Methods for the Study of Vehicle-Terrain Interaction. 2.10.1 The Finite Element Method. 2.10.2 The Discrete (Distinct) Element Method. References. Problems. 3. PERFORMANCE CHARACTERISTICS OF ROAD VEHICLES. 3.1 Equation of Motion and Maximum Tractive Effort. 3.2 Aerodynamic Forces and Moments. 3.3 Vehicle Power Plant and Transmission Characteristics. 3.3.1 Internal Combustion Engines. 3.3.2 Electric Drives. 3.3.3 Hybrid Drives. 3.3.4 Fuel Cells. 3.3.5 Transmission Characteristics. 3.4 Vehicle Power Plant and Transmission Characteristics. 3.4.1 Power Plant Characteristics. 3.4.2 Transmission Characteristics. 3.5 Prediction of Vehicle Performance. 3.5.1 Acceleration Time and Distance. 3.5.2 Gradability. 3.6 Operating Fuel Economy. 3.7 Engine and Transmission Matching. 3.8 Braking Performance. 3.8.1 Braking Characteristics of a Two-Axle. Vehicle. 3.8.2 Braking Efficiency and Stopping Distance. 3.8.3 Braking Characteristics of a Tractor-Semitrailer. 3.8.4 Antilock Brake Systems. 3.8.5 Traction Control Systems. References. Problems. 4. PERFORMANCE CHARACTERISTICS OF OFF-ROAD VEHICLES. 4.1 Drawbar Performance. 4.1.1 Drawbar Pull and Drawbar Power. 4.1.2 Tractive Efficiency. 4.1.3 Four Wheel Drive. 4.1.5 Coefficient of Traction. 4.1.4 Weight-to-Power Ratio for Off-Road Vehicles. 4.2 Fuel Economy of Cross-Country Operations. 4.3 Transport Productivity and Transport Efficiency. 4.4 Mobility Map and Mobility Profile. 4.5 Selection of Vehicle Configurations for Off-Road Operations. References. Problems. 5. HANDLING CHARACTERISTICS OF ROAD VEHICLES. 5.1 Steering Geometry. 5.2 Steady-State Handling Characteristics of a Two-Axle Vehicle. 5.2.1 Neutral Steer. 5.2.2 Understeer. 5.2.3 Oversteer. 5.3 Steady-State Response to Steering Input. 5.3.1 Yaw Velocity Response. 5.3.2 Lateral Acceleration Response. 5.3.3 Curvature Response. 5.4 Testing of Handling Characteristics. 5.4.1 Constant Radius Test. 5.4.2 Constant Speed Test. 5.4.3 Constant Steer Angle Test. 5.5 Transient Response Characteristics. 5.6 Directional Stability. 5.6.1 Criteria for Directional Stability. 5.6.2 Vehicle Stability Control. 5.7 Steady-State Handling Characteristics of a Tractor-Semitrailer. 5.8 Simulation Models for the Directional Behavior of Articulated Road Vehicles. References. Problems. 6. STEERING OF TRACKED VEHICLES. 6.1 Simplified Analysis of the Kinetics of Skid-Steering. 6.2 Kinematics of Skid-Steering. 6.3 Skid-Steering at High Speeds. 6.4 A General Theory for Skid-Steering on Firm Ground. 6.4.1 Shear Displacement on the Track-Ground Interface. 6.4.2 Kinetics in a Steady-State Turning Maneuver. 6.4.3 Experimental Substantiation. 6.4.4 Coefficient of Lateral Resistance. 6.5 Power Consumption of Skid-Steering. 6.6 Steering Mechanisms for Tracked Vehicles. 6.6.1 Clutch/Brake Steering System. 6.6.2 Controlled Differential Steering System. 6.6.3 Planetary Gear Steering System. 6.7 Articulated Steering. References. Problems. 7. VEHICLE RIDE CHARACTERISTICS. 7.1 Human Response to Vibration. 7.1.1 International Standard ISO 2631-1:1985. 7.1.2 International Standard ISO 2631-1:1997. 7.2 Vehicle Ride Models. 7.2.1 Two-Degree-of-Freedom Vehicle Model for Sprung and Unsprung Mass. 7.2.2 Numerical Methods for Determining the Response of a Quarter-Car Model to Irregular Surface Profile Excitation. 7.2.3 Two-Degree-of-Freedom Vehicle Model for Pitch and Bounce. 7.3 Introduction to Random Vibration. 7.3.1 Surface Elevation Profile as a Random Function. 7.3.2 Frequency Response Function. 7.3.3 Evaluation of Vehicle Vibration in Relation to the Ride Comfort Criterion. 7.4 Active and Semi-Active Suspensions. References. Problems. 8. INTRODUCTION TO AIR-CUSHION VEHICLES. 8.1 Air-Cushion Systems and Their Performance. 8.1.1 Plenum Chamber. 8.1.2 Peripheral Jet. 8.2 Resistance of Air-Cushion Vehicles. 8.3 Suspension Characteristics of Air-Cushion Systems. 8.3.1 Heave (or Bounce) Stiffness. 8.3.2 Roll Stiffness. 8.4 Directional Control of Air-Cushion Vehicles. References. Problems. Index.
2,930 citations
Book•
01 Oct 1992
TL;DR: This book is a single source of information on all essential concepts, guidelines and design checks required for designing safer brakes.
Abstract: The objectives of this third edition of an SAE classic title are to provide readers with the basic theoretical fundamentals and analytical tools necessary to design braking systems for passenger vehicles and trucks that comply with safety standards, minimize consumer complaints, and perform safely and efficiently before and while electronic brake controls become active. This book, written for students, engineers, forensic experts, and brake technicians, provides readers with theoretical knowledge of braking physics, and offers numerous illustrations and equations that make the information easy to understand and apply. New to this edition are expanded chapters on: • Thermal analysis of automotive brakes • Analysis of hydraulic brake systems • Single vehicle braking dynamics
296 citations
"A model based Collision Avoidance a..." refers background in this paper
...The braking force produced by a typical S-cam leading-trailing brake shoe design is given in [13] and it is modified as...
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TL;DR: In this article, the analysis of a rear-end collision warning/avoidance (CW/CA) system algorithm is presented, which is designed to meet several criteria: 1. System warnings should result in a minimum load on driver attention. 2. Automatic control of the brakes should not interfere with normal driving operation.
Abstract: The analysis of a rear-end collision warning/ avoidance (CW/CA) system algorithm will be presented. The system is designed to meet several criteria: 1. System warnings should result in a minimum load on driver attention. 2. Automatic control of the brakes should not interfere with normal driving operation.
240 citations
TL;DR: The proposed control systems guarantee smooth vehicle following even when the leading vehicle exhibits erratic speed behavior, and are designed and tested using a validated nonlinear vehicle model first and then actual vehicles.
223 citations
"A model based Collision Avoidance a..." refers background in this paper
...[10] proposed a brake control system for automatic vehicle following....
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TL;DR: In this paper, a rear-end collision avoidance system with automatic brake control is described, which avoids a collision to the vehicle in front caused by inadvertent human errors using automatic emergency braking.
Abstract: We have studied active safety technologies from the standpoint of “collision avoidance”. This paper describes a rear-end collision avoidance system with automatic brake control, which avoids a collision to the vehicle in front caused by inadvertent human errors using automatic emergency braking. The system is comprised of four key technological elements, headway distance measurement using scanning laser radar, path estimation algorithm with vehicle dynamics, collision prediction to the vehicle in front by a safe/danger decision algorithm, and longitudinal automatic brake control.
116 citations