Abstract
The presence of mobile phones on freeways can be used to provide information for surveillance and to early detect anomalous traffic behaviors. Toward this end, an extension of a standard freeway macroscopic model is presented that allows to describe the dynamic of the overall cars, together with variables representing the percentage of active mobiles on the freeway. A freeway trunk is divided in sections, each covered by a cell of the wireless network and associated with state variables describing density of vehicles, mean velocity, and percentage of active mobile phones. The measurements available from the mobiles enable an extended Kalman filter to determine estimates of the state variables that can be used to supervise the traffic behavior. A complex simulation setup has been developed with a microscopic simulator of the freeway traffic and an emulator of the wireless network. Preliminary simulation results are reported to show the effectiveness and potential of the proposed approach for automatic traffic surveillance and incident detection.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
