Subjective assessment and information interaction method for road conditions

Abstract

The invention discloses a subjective assessment and information interaction method for road conditions. The method is characterized by comprising the following steps that a user selects types of road conditions and/or road events through a client which codes the road conditions and/or the road events; then, the client uploads user information, time information and position information as well as the coding information forming a data link to a server end; the server end receives data transmitted by the client codes and analyzes the data to judge the validity of road conditions and/or road events of the client; if, the information is valid, the information is issued externally; the externally issued road conditions and/or road events are sent to the client in a coded form, and the client receives corresponding customizing information and broadcasts by sound. The method is designed based on man-machine interaction concept, field traffic participants evaluate the road conditions, and finally, objective road condition evaluation results are generated.

Description

technical field [0001] The invention relates to a method for subjective evaluation of road conditions and information interaction. Background technique [0002] The existing road condition information collection technology uses various types of vehicle detectors to collect the physical characteristics of vehicles on the road, such as light, electricity, and magnetism, and then relies on various algorithms for analysis and evaluation, so as to describe the road conditions. the goal of. The traditional road condition detection and collection technology relies heavily on the front-end vehicle detection equipment, the reliability of the vehicle detection equipment, the number of installations, the distribution range, and the pros and cons of the background algorithm all have a serious impact on the accuracy of the collected road conditions. , The fatal flaw of traditional road condition collection technology is that it uses technical means to restore the actual road conditions,...

AI Technical Summary

Problems solved by technology

The traditional road condition detection and collection technology relies heavily on the front-end vehicle detection equipment, the reliability of the vehicle detection equipment, the number of installations, the distribution range, and the pros and cons of the background algorithm all have a serious impact on the accuracy of the collected road conditions. , the fatal flaw of the traditional road condition collection technology is to use technical means to restore the actual road conditions, and then rely on open social media to release road condition information, so it is inevitable that there will be deviations from the on-site perception of traffic participants

[0003] Although the existing road condition information collection technology can achieve a relatively ideal positioning accur

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