Integration of Floating Vehicle Data for Online Traffic Signal Control Optimization

Inductive loop detectors are the most common traffic data collection technique for traffic flow optimization at signalized intersections. However, connected vehicles are gaining more attention as an alternative mean of collecting real-time data. The focus of this study is to evaluate the possible benefits of an integration of Floating Vehicle Data (FVD) in the signal control algorithms. Taking into consideration the detector configuration used in UTOPIA, a microscopic traffic flow algorithm coupled with VISSIM is introduced. It performs traffic state estimation and develops metrics to assess the accuracy of the queue length values derived from the estimated traffic state. Scenarios involving various input data have been scrutinized. The results obtained show that queue length estimations can significantly be improved by FVD. Every 10% of added FVD penetration rate brings around 20% accuracy improvement. Without detectors an accuracy equivalent to the one obtained with detectors only is achieved with 10% FVD.     «

Inductive loop detectors are the most common traffic data collection technique for traffic flow optimization at signalized intersections. However, connected vehicles are gaining more attention as an alternative mean of collecting real-time data. The focus of this study is to evaluate the possible benefits of an integration of Floating Vehicle Data (FVD) in the signal control algorithms. Taking into consideration the detector configuration used in UTOPIA, a microscopic traffic flow algorithm coup...     »