论文信息 - DYNAMICS MODEL FOR PREDICTING MAXIMUM AND TYPICAL ACCELERATION RATES OF PASSENGER VEHICLES

DYNAMICS MODEL FOR PREDICTING MAXIMUM AND TYPICAL ACCELERATION RATES OF PASSENGER VEHICLES

Effectively modeling the acceleration behavior of vehicles is an important consideration in a variety of transportation engineering applications. The acceleration profiles of vehicles are important in the geometric design of roadways and are used to model vehicle behavior in simulation software packages. The acceleration profile of the vehicle is also a critical parameter in fuel consumption and emissions models. This paper develops and validates a vehicle dynamics model to predict the maximum acceleration rates of passenger vehicles. The model is shown to be superior to other similar models in that it accurately predicts speed and acceleration profiles in all domains and for a variety of vehicle types. The paper also modifies the model by introducing a reduction factor, which enables the model to predict the typical acceleration patterns for different driver types. The reduction factors for the driving population are shown to follow a normal distribution with a mean of 0.60 and a standard deviation of 0.08. The paper also provides new data sets containing maximum and typical acceleration profiles for thirteen different vehicles and twenty different drivers. Snare Acknowledgements iii Acknowledgements I would like to take this opportunity to thank the many people that helped me throughout the process of creating this thesis. First and foremost, I thank my advisor Dr. Hesham Rakha, who guided me through the research process and was also instrumental in my decision to choose traffic engineering as a career. I would also like to thank the other members of my committee, Dr. Francois Dion and Dr. Pushkin Kachroo, for their support. I would also like to acknowledge the test drivers who volunteered their time towards my data collection. In addition, I thank the Charles Edward Via family for the generous fellowship I received that enabled me to pursue my graduate education. Finally, I am grateful towards my future wife, Miriam, who lifted my spirits when times got rough. Snare Table of

Matthew C. Snare

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