Vehicle Occupancy Forecasting

摘要

The design of HOV lanes and other HOV facilities depends on volumes of HOVsexpected to use the facilities. Most of the findings from the four data sets analyzed for the study were consistent with the literature and with each other. The research concluded that, in order for a transportation model to adequately forecast vehicle occupancy, it shoudl take into account that: (1) mode choice changes over time, (2) attitudes and perceptions are important in mode choice, (3) attitudes and perceptions can be influenced by experience, (4) household composition is important, (5) commute length varies by type of job and location, (6) constraints influence the process in complicated ways, and (7) two person carpools are different from large carpools.