Differentiating Real Time Traffic Information from Traffic Information Based Mainly on Historical Patterns

摘要

Traffic information based on floating car data is becoming a major source to Government Agencies. Some of these sources are based on aggregating GPS data and use historical patterns and prediction algorithms to fill in the gaps in the real time data. Data quantities from these systems are not enough to provide samples for all road sections every reporting period and most of road sections do not generate live samples most of the time. Road Agencies and Municipalities which are looking for real time data are sometimes compromising on such data based on historical patterns because they don't have the knowledge to differentiate between such systems. This paper summarizes the challenges and possible solutions to this problem, which were identified by Cellint Traffic Solutions ("Cellint") based on its experience in validation procedures of Departments of Transportation and Road Agencies in North America and Europe.