Judgment method for congestion event

Abstract

The invention discloses a judgment method for a congestion event. The judgment method comprises the following steps of: fusing the congestion event probability of vehicles within the communication range with the credibility of the vehicles within the communication range according to the evidence integrating rule to obtain a global probability assignment function m(A) of congestion events and a global probability assignment function m(B) of non-congestion events, wherein the credibility magnitude of the vehicles is decided by the transmitting time and the transmitting distance when the vehicles transmit information and the physical qualities of vehicles; calculating the difference between the maximum waiting time and the minimum waiting time of the vehicles within the communication range; when the difference between the maximum waiting time and the minimum waiting time is greater than a minimum waiting threshold of the congestion and the difference between the global probability assignment function m(A) of the congestion events and the global probability assignment function m(B) of the non-congestion events is greater than or equal to the preset judgment threshold, determining the current events to be congestion events. According to the judgment method disclosed by the invention, the decision misjudgment due to short-time waiting events is avoided and the accuracy of judgment is improved.

Description

technical field [0001] The invention relates to a road traffic system, in particular to a method for judging a congestion event. Background technique [0002] VANET (Vehicular Ad-hoc Network, vehicle self-organizing network) is a vehicle and surrounding data information collected by sensors, between V2V (Vehicular To Vehicular, vehicle and vehicle), V2B (Vehicular ToBase Station, vehicle and base station) Technology for information exchange processing. Because it can exchange driving information very well, so as to provide efficient and safe navigation and other services for vehicles, it has been applied in many countries. [0003] Among many services, vehicle congestion detection is particularly important. As of February 2012, the number of motor vehicles in Beijing alone has exceeded 5 million. The government has adopted methods such as car lottery and tail number restrictions to reduce vehicle congestion; but with the increasing number of vehicles, congestion will inevi...

AI Technical Summary

Problems solved by technology

This method uses the m trust function to make a judgment, which is a kind of soft judgment, and the method has a single judgment condition, which is not suitable for the congestion judgment of the vehicle ad hoc network with changing conditions.

[0008] Moreover, due to the changeable situation of the vehicle ad hoc network, the existing technology cannot accurately judge the frequent short-time waiting events (for example, red lights, etc.), so that the congestion events cannot be alleviated

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