Abstract: A large-scale real-time traffic flow prediction method of the present invention is based on fuzzy logic and deep LSTM, which relates to a technical field of urban intelligent traffic management. The method includes steps of: selecting an urban road network scene to collect color images of real-time traffic flow congestion information; obtaining congestion levels of multiple intersections according to the color images, which are used in a data training set; and forming a data sensing end of FDFP through a fuzzy mechanism; establishing a deep LSTM neural network, performing deep learning on the training data set, and constructing a prediction end of the FDFP; construct a graph of road intersections and formulate a k-nearest neighbors-based discounted averaging for obtaining congestion on the edges; and inputting real-time traffic information received from a server into an FDFP model.

Abstract: A large-scale real-time traffic flow prediction method of the present invention is based on fuzzy logic and deep LSTM, which relates to a technical field of urban intelligent traffic management. The method includes steps of: selecting an urban road network scene to collect color images of real-time traffic flow congestion information; obtaining congestion levels of multiple intersections according to the color images, which are used in a data training set; and forming a data sensing end of FDFP through a fuzzy mechanism; establishing a deep LSTM neural network, performing deep learning on the training data set, and constructing a prediction end of the FDFP; construct a graph of road intersections and formulate a k-nearest neighbors-based discounted averaging for obtaining congestion on the edges; and inputting real-time traffic information received from a server into an FDFP model.

Abstract: A tag comprising a communication unit configured to receive a signal representative of postal information and an information provisioning unit configured to make the postal information available to a postal service so as to facilitate transportation of the tag by said postal service.

Abstract: Methods and systems for allocating rewards and mapping activity within organizations. Rewards are allocated throughout an organization using a consensus driven model and peer review. In one embodiment employees enter into a system “scores” for fellow employees based on at least one set of criteria. Once the scores are entered the system processes them according to an algorithm in accordance with the present invention and generates an output. In one embodiment the output is generated in the form of a report for management. Amps can be generated to assist in analysis of value within an organization.