This final report is the second in a series to describe a joint collaboration between the Transportation Demand Management (TDM) Program at the Center for Urban Transportation Research (CUTR) at the University of South Florida (USF), the Computer Science Engineering (CSE) Department at the College of Engineering at USF. This three-phase study, sponsored by the Florida Department of Transportation (FDOT), harnessed the exponential growth of personal mobile electronic devices integrated with increasingly accurate global positioning systems (GPS) to develop a non-proprietary location aware information system (TRAC-IT). The TRAC-IT system should advance the quality and quantity of household multimodal data collected in travel surveys. This three-phase study builds on previous research conducted by CUTR for the FDOT Research Center Office in 1999 (1). The project offered a practical exercise that led households to re-appraise their needs and rationale for travel. Specific suggestions aimed at use of public transit service, bike paths, trip chaining, ridesharing, and e-commerce options were provided based on specific travel patterns observed in the activity diaries. A weeklong travel diary recorded on a paper handout formed the basis of the personalized advice provided. The 1999 study demonstrated that providing personalized travel advice to households based on their travel habits did reduce vehicles miles of travel relative to the control group.