TE Connectivity Lecture Series
Estimation of Critical Stopping Distances and Time to Stop for Passenger Vehicles On Road Surfaces of Various Conditions
Presented By: H. Bryan Riley, PhD; School of EECS, Ohio University
Abstract: This research work presents an experimental investigation of critical stopping distances, and time to stop for passenger vehicles travelling along various road surfaces and environmental conditions. Although this is a complex problem with numerous variables, we investigate different weight classes of vehicles, vary specific vehicle parameters and script the environment to emulate realistic driving scenarios. A quarter-car physical hardware platform is utilized along with realistic driver inputs to the Vehicle Modeling and Simulation Laboratory (VMSL) platform. The VMSL platform utilizes CarSim©, a commercial software package, and Matlab/Simulink© to implement the vehicle brake actuator and brake control system. The research investigation proceeds by modeling evasive manuvers and braking functions that are initiated by the driver as objects suddenly appear in the path of the vehicle. We constrain the problem by assuming minimum advance warning (i.e., time) from the sensor set (i.e., RADAR, LIDAR, Vision). Key performance parameters (decel, stopping distance, surface friction coefficient -µ) are recorded and analysed for data statistics to avoid crashes. Research results are derived and presented as mathematical models of stopping distances and times to stop as a function of set parameters (µ friction coefficient, vehicle speed, and input pressure at the master cylinder). It is critical for braking system engineers to achieve shorter stopping distances and thus keep the drivers and passengers safe as well as reduce or avoid crashes all together.
This event has ended; page retained for archival purposes only.