Traffic prediction using wireless cellular networks : final report.

Final reportPDFTech Reporthttp://www.utrc2.org/sites/default/files/Final-Report-Traffic-Prediction-Using-Wireless-Cellular-Networks.pdf49198-11-26Data collectionFreewaysTraffic dataTraffic forecastingTraffic modelsWireless communication systemsUnited StatesCity University of New York. University Transportation Research CenterWadoo, SabihaNew York Institute of TechnologyCity University of New York. University Transportation Research CenterUS Transportation CollectionThe major objective of this project is to obtain traffic information from existing wirelessinfrastructure.In this project freeway traffic is identified and modeled using data obtained from existingwireless cellular networks. Most of the previous research on freeway traffic control assumes theavailability of traffic parameters like vehicle velocity and density. Such data is available only at afew locations on major highways where sensor nodes have been pre-deployed. In practical terms,to build a comprehensive network of sensors for this purpose is prohibitive in terms of the costinvolved. However, an existing cellular network of a large wireless provider can be used forcollecting traffic parameter information. As mobile devices have become very common, thesedevices can not only provide traffic parameter data but can also be used to receive real timetraffic information using mobile applications. This project uses information obtained frommobile networks to formulate traffic density models