Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration

This paper attempts to integrate data from models, traditional surveys and big in a situation of limited information. The goal is increase the capacity transport planners analyze, forecast, plan passenger mobility. (Big) are precious source information substantial effort necessary filter, integrate, convert into travel demand estimates. Moreover, analytics approaches without models because they allow: (a) analysis historical and/or real-time system configurations, (b) forecasting configurations ordinary conditions. Without support mere use (big) does not allow mobility patterns. methods systems engineering with new sources ICTs. By combining floating car (FCD), proposed framework allows estimation (e.g., trip generation destination). method can be applied specific case an area where FCD available, other available. results application sub-regional (Calabria, southern Italy) presented.