摘要: |
his project will develop and demonstrate the application of a discrete event simulation and data fusion system for synthesizing individual travel diaries from multiple passive data sources, including consumer and anonymous location data. Work in Stage 1 will focus on selecting a test region and prepare data for the synthesizing process. A study area will be defined in the Seattle metropolitan region that is larger in land and population size than the proof-of-concept study. Data and licenses will be obtained from providers. Some of the input data will be collected through APIs over at least one month to obtain historical distributions. The other input data will be obtained as flat data files from providers. The code and processes for collecting data will be adjusted for different time zones and for different geography definitions based on query limits. Work in Stage 2 will focus on implementing the existing system, which was built for a small study area in the Atlanta metropolitan region, in the larger Seattle study area. The system will be adjusted where required to carry out implementation in a different, larger region. The focus will be on evaluating the transferability of the prototype across different regions to develop a process that is consistent and systematic in producing locally sensitive and representative data. The Seattle synthetic household travel data will be evaluated against the Atlanta synthetic household travel data to identify the key similarities, differences, successes, and failures of the prototype. A Plans for implementation by metropolitan planning organizations and potentially state departments of transportation will be outlined, if successful. |