http://smartech.gatech.edu/handle/1853/21312 A consortium of Georgia universities active in transportation research and education. GTI is headquartered at the Georgia Institute of Technology Search the Channel search http://smartech.gatech.edu/simple-search http://smartech.gatech.edu/handle/1853/21344 Title: An Approach to Georgia Information Intensive Transit (GIIT) <br/> <br/>Authors: Dickerson, Steve <br/> <br/>Abstract: Professor Dickerson described a visionary idea that could change the way we think about public transportation in the future. In his concept one would use cell phones to request a carpool, to track their location and even as a key to enter the shared vehicles. These vehicles may be driven by the users themselves and would be parked in designated lots scattered around the urban areas. After requesting a carpool, one would simply drive to the closest designated lot to take the appropriate carpool and drive to one’s destination along with other users of the system. The cell phone is a key ingredient to this scheme. It tells you exactly when and where to meet your ride, it assigns to you a rental car near your office or home when needed and allows you to access the auto and pay your fares, MARTA, car rentals and van and car pools, automatically. <br/> <br/>Description: Presented on September 25, 2007; Steve Dickerson is Professor Emeritus, Georgia Institute of Technology, Founder DVT Corporation and CAMotion, Inc. Dickerson received his Doctor of Science degree from MIT and was employed at Georgia Tech in Mechanical Engineering. He worked on projects for NASA, the Johnson Space Flight Center, and the Material Handling Research Center-an NSF program. More recently, Dickerson founded CAMotion, Inc. and resides as CEO. A member of SME, he is active in SME's Automated Manufacturing & Assembly Community. http://smartech.gatech.edu/handle/1853/21342 Title: Advances in Discrete Choice Modeling <br/> <br/>Authors: Koppelman, Frank S. <br/> <br/>Description: Presented on October 10, 2007; Frank Koppelman is Professor emeritus of Civil and Environmental Engineering at Northwestern University. His research is focused on the analysis and prediction of personal travel behavior based on the development of activity-based travel demand models for urban travel and multi-dimensional choice models for intercity travel and air traveler preferences for carriers, schedule and classes. His research includes development of extended logit choice models which allow flexible patterns of substitution and differences among individuals and travel contexts and their application to complex choice problems. http://smartech.gatech.edu/handle/1853/21341 Title: Implementing Sustainable Transportation at State DOT's <br/> <br/>Authors: Zietsman, Joe <br/> <br/>Description: Presented on October 29, 2007; Dr. Zietsman is the Director of the Center for Air Quality Studies at the Texas Transportation Institute (TTI). Since joining TTI in the Spring of 1998 he has been principal investigator of several research projects covering the areas of air quality, sustainable transportation, performance measurement and transportation planning. He is also a member of the Graduate Faculty of Texas A&M University. In addition to his research experience, he has 3 years of highway construction experience and 7 years of metropolitan transportation planning experience. Dr. Zietsman has written numerous technical papers and reports and is a frequent speaker at national and international conferences and meetings. He is also an active member of the Transportation Research Board where he chairs a subcommittee and serves as member of the Performance Measurement Sustainable Transportation committees. http://smartech.gatech.edu/handle/1853/21340 Title: Agent-Based Models as an Insight into Managing Pavement Assets <br/> <br/>Authors: McNeil, Sue <br/> <br/>Abstract: Asset management is a systematic process to support strategic decision making for physical assets. Recognition of budget constraints, development and use of deterioration models, development of strategies and policies, and project selection are important elements of the process. More sophisticated asset management decision support systems also recognize the uncertainty inherent in the process and the challenges in allocating resources in a spatially and socially equitable manner over the extended periods of time that the assets are expected to provide service. However, little attention has been paid to capturing the complex interactions among decision makers. While asset management has been emerging as a discipline, agent-based modeling, a tool for exploring complex systems, has demonstrated the potential to model important interactions and heuristics that reflect the actual management process. By representing a network of pavement segments as an agent-based model, we can examine the effects of agencies, politicians, user actions, deterioration, random failures and various policies on the performance of the system. The presentation defines potential agents – the pavement segments, users, politicians, and engineers – and their interactions, and explains why such agent behaviors are not captured in typical pavement management systems and life cycle cost analyses. Two prototypes agent based systems are presented and demonstrate the potential value of life cycle cost analysis and the importance of planning for catastrophic failure. <br/> <br/>Description: Presented on February 22, 2008 12 noon -- 1 pm in the Mason building, room 519 on the Georgia Tech campus