System and method for collecting and distributing traffic information, center device and vehicle carried terminal device

Abstract

In a center apparatus, a feature space projection processing unit performs a feature space projection process for probe data corresponding to a road section which are stored in a current probe data storage unit to extract the feature data, and a change point detecting unit; an event section partitioning unit and an event assigning unit determine a road section corresponding to the feature data, and assign the event information to the determined road section; and an event information distributing unit distributes the event information assigned to the road section. In a vehicle-installed terminal apparatus, a probe data partitioning unit and an orthogonal component decomposition unit performs processes of partitioning and orthogonal component decomposition of the probe data using a feature score vector obtained from the center apparatus, to thereby reduce the probe data to be uplinked.

Description

technical field [0001] The present invention relates to a traffic information collection / distribution method, a traffic information collection / distribution system, a center device, and an on-vehicle terminal device for collecting / distributing road traffic information based on probe data acquired by sensors installed in vehicles. Background technique [0002] In the past, in order to obtain road traffic information, a probe car was often used. The so-called probe car is a vehicle-mounted device equipped with various sensors and communication devices. Data such as distance (hereinafter referred to as probe data) is a vehicle that transmits the collected probe data to a predetermined traffic information center. For example, a taxi or the like is often used as a probe car based on the assistance of a taxi company or the like. [0003] On the other hand, the traffic information center processes the probe data sent from the probe cars, and collects traffic information such as tra...

AI Technical Summary

Problems solved by technology

Therefore, setting of teaching data and formation of clusters cannot be easily performed, unlike the use of sensors that limit judgment targets.

At least for real-time input detection data, it is difficult to detect and classify its events in real time

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