A case study on cooperative car data for traffic state estimation in an urban network
Document typeConference report
Rights accessOpen Access
The use of Floating Car Data (FCD) as a particular case of Probe Vehicle Data (PVD) has been the object of extensive research for estimating traffic conditions, travel times and Origin to Destination trip matrices. It is based on data collected from a GPS-equipped vehicle fleet or available cell phones. Cooperative Cars with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication capabilities represent a step forward, as they also allow tracking vehicles surrounding the equipped car. This paper presents the results of a limited experiment with a small fleet of cooperative cars in Barcelona’s Central Business District (CBD) known as L’Eixample. Data collected from the experiment were used to build and calibrate the emulation of cooperative functions in a microscopic simulation model that captured the behavior of vehicle sensors in Barcelona’s CBD. Such a calibrated model allows emulating fleet data on a large scale that goes far beyond what a small fleet of cooperative vehicles could capture. To determine the traffic state, several approaches are developed for estimating traffic variables based on extensions of Edie’s definition of the fundamental traffic variables with the emulated data, whose accuracy depends on the penetration level of the technology.
CitationLídia Montero, Pacheco, M., Barcelo, J., Homoceau, S., Casanovas, J. A case study on cooperative car data for traffic state estimation in an urban network. A: Transportation Research Board Annual Meeting. "TRB 95th Annual Meeting Final Program". Washington, D.C.: 2016, p. 1-17.