Vehicle trajectory tracking and vehicle behavior prediction method

Abstract

The invention provides a vehicle trajectory tracking and vehicle behavior prediction method, and the method comprises the steps that a user requests for road services for a special site, and a server builds a search tree based on map services according to the received request site and the waiting time search, and obtains the information of nearby vehicles which may reach the request site; the searched vehicle transmits GPS information and acceleration data to the server; the server will process the collected acceleration speed before arrival at each crossroad, and predicts the maneuvering behavior of the vehicle at each crossroad; the server compares the real-time position of the vehicle with a position calculated according to the mean speed of a road; the server enables a remarkably lagged vehicle or a vehicle with a running direction not facing the request site to be eliminated, and finally obtains the vehicle which will arrive at the request site. Through vehicle trajectory tracking and vehicle behavior prediction, the method can publish the traffic information in advance, and provides a solution to traffic jam and the guarantee of driving safety.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular, to a method for vehicle track tracking and vehicle behavior prediction. Background technique [0002] The acquisition of road information greatly enriches people's lives, facilitates people's travel, and can also relieve traffic pressure, reduce people's waiting time, and reduce economic losses. According to statistics, the economic loss caused by traffic congestion in Nordic countries and the United States is about 190 billion U.S. dollars. If there are no measures to alleviate traffic congestion, the economic loss is expected to increase by 50% by 2030. [0003] The acquisition of road information can help alleviate traffic congestion and help people plan their travel routes. Currently, road information acquisition based on maps is passive and not real-time. Therefore, active real-time road information acquisition technology has yet to be resolved. The vehicle tra...

AI Technical Summary

Problems solved by technology

In Maneuver recognition using probabilistic finite-state machines and fuzzy logic (using finite state machine and fuzzy logic to identify maneuvers) published on Intelligent Vehicles Symposium, IEEE in 2010 by Till Hulnhagen et al., by modeling various behaviors of vehicles into finite state machines, the behavior prediction of vehicles is given by probabilistic methods , but the prediction accuracy of this article is low, only 80%

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