Sap Se

Haiyun Lu

Danqing Cai

Kar Leong Tew

Described herein is a framework for vehicle-to-vehicle communication. In accordance with one aspect, a send message to a receiving driver of a receiving vehicle is generated from a sending end-user device in response to a user event from a sending driver. The send message may be generated to include an image of the receiving vehicle of the receiving driver, and a voice message created by the sending driver. The send message may be sent to a server using the sending end-user device. The send message may further be processed by the server, in which the processing may include identifying the receiving vehicle, searching to find information of a receiving end-user device, and sending the send message to the receiving end-user device if information of the receiving end-user device is found.

Application for vehicle-to-vehicle communication

Described herein is a framework to facilitate traffic prediction. In accordance with one aspect, training data including historical traffic information and precipitation data is received. An impulse response function may be determined based on the training data. One or more traffic parameters may be predicted by calculating a weighted linear system model based on the impulse response function.

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Singapore, Singapore

Haiyun Lu