Title page for ETD etd-08262002-141356

Type of Document Master's Thesis
Author Snare, Matthew C.
URN etd-08262002-141356
Title Vehicle Dynamics Model for Predicting Maximum and Typical Acceleration Rates for Passenger Vehicles
Degree Master of Science
Department Civil Engineering
Advisory Committee
Advisor Name Title
Rakha, Hesham Ahmed Committee Chair
Dion, Francois Committee Member
Kachroo, Pushkin Committee Member
  • Traffic Simulation
  • Vehicle Dynamics Models
  • Vehicle Acceleration
Date of Defense 2002-08-26
Availability unrestricted
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.
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