AbstractThe availability of floating car data (FCD) enables operators to use novel methods in travel time estimation. A first step towards combining traffic data from loops and FCD is to check the compatibility between the two types of travel time estimates. We perform an in-depth statistical analysis that allows us to compare various travel time estimates using data collected from the peri-urban highways in the region of Lille, in north France. The comparison is performed separately for light and heavy vehicles and for various settings: peak hour, off-peak hours, working day, holiday, rain, and so on. The results show that the two estimates are linearly correlated and a specific function can be calibrated for each site for itineraries of v...
Travel time estimation and prediction on motorways has long been a topic of research. Prediction mod...
The use of GPS probes in traffic management is growing rapidly as the required data collection infra...
Abstract: Roads in the Netherlands are often heavily congested. Real-time travel time information ca...
AbstractThe availability of floating car data (FCD) enables operators to use novel methods in travel...
Floating Car Data (FCD) is becoming a more and more popular technique for travel time measurements i...
Floating Car Data (FCD) is becoming a more and more popular technique for travel time measurements i...
In this paper, we conduct an empirical comparison of travel time estimation methods based on single-...
Floating car data (FCD) meanwhile is a widely available and affordable data source. The given GPS da...
Abstract: In this paper, the average travel time over a link is considered as a random variable fol...
ABSTRACTFloating car- and loop detector-based methods are two different types of methods frequently ...
Floating car data (FCD) meanwhile is a widely available and affordable data source. The given GPS da...
This project explores the use of machine learning techniques to accurately predict travel times in c...
The knowledge of travel times on road networks is of vital importance for network operators as well ...
The macroscopic fundamental diagram, relating average flows and densities in an urban network, has b...
The macroscopic fundamental diagram, relating average flows and densities in an urban network, has b...
Travel time estimation and prediction on motorways has long been a topic of research. Prediction mod...
The use of GPS probes in traffic management is growing rapidly as the required data collection infra...
Abstract: Roads in the Netherlands are often heavily congested. Real-time travel time information ca...
AbstractThe availability of floating car data (FCD) enables operators to use novel methods in travel...
Floating Car Data (FCD) is becoming a more and more popular technique for travel time measurements i...
Floating Car Data (FCD) is becoming a more and more popular technique for travel time measurements i...
In this paper, we conduct an empirical comparison of travel time estimation methods based on single-...
Floating car data (FCD) meanwhile is a widely available and affordable data source. The given GPS da...
Abstract: In this paper, the average travel time over a link is considered as a random variable fol...
ABSTRACTFloating car- and loop detector-based methods are two different types of methods frequently ...
Floating car data (FCD) meanwhile is a widely available and affordable data source. The given GPS da...
This project explores the use of machine learning techniques to accurately predict travel times in c...
The knowledge of travel times on road networks is of vital importance for network operators as well ...
The macroscopic fundamental diagram, relating average flows and densities in an urban network, has b...
The macroscopic fundamental diagram, relating average flows and densities in an urban network, has b...
Travel time estimation and prediction on motorways has long been a topic of research. Prediction mod...
The use of GPS probes in traffic management is growing rapidly as the required data collection infra...
Abstract: Roads in the Netherlands are often heavily congested. Real-time travel time information ca...