The effectiveness of applying loop detector information to route navigation system is described. Loop detectors currently provide flow and occupancy data, as opposed to all other data sources involves in data fusion, which provide travel information. The relationships between travel times and flow/occupancy information are assessed using simulation techniques and field data. A common study area is used for both types of experiments. For both approaches, it is indicated that a) travel time is independent from both flow and occupancy under conditions of low traffic demand, and b) generalized regression equations can be fitted for certain ranges of occupancies to properly model the relationships between travel time and detector data.