| This dissertation describes a cost-effectiveness methodology designed to assist a decision maker in assessing intelligent transportation system (ITS) alternatives for potential development. A major contribution of this research involves the incorporation of driver error and risk management and evaluation of ITS from these perspectives. Also included are a comprehensive overview of the major factors which interact with an ITS; a definition of "driver culture", together with the mutual impacts of driver culture and ITS; a taxonomy of driver errors, a comparison of driver errors with human errors in general, and a discussion of how some ITS technologies/strategies can be used to ameliorate those errors; and a discussion of how the model described herein might be incorporated into the fragmented decision making structure associated with most transportation decisions. |
