Dual-path road network individuation inductivity distribution method under user equalization principle

Abstract

The present invention relates to a dual-path road network individuation inductivity distribution method under a user equalization principle. The method comprises the following steps: 1) aiming at a regulated dual-path road network, performing statistics of road network basic parameters; 2) based on the GreenShields model and the traffic flow theory, solving an optimal separation rate under an ideal condition according to the road network basic parameters to optimize the whole traffic flow of the road network; 3) under the constraint condition of the whole optimal road network, establishing the basic constrained condition of an individuation induction distribution strategy according to the proportion of an individual vehicle historical driving optimal paths; 4) establishing the concept of the vehicle priority, and calculating the individuation induction rate distribution value under the known condition of the vehicle priority through adoption of the equal difference distribution principle according to the concept; and 5) according to the distribution principle determined in the step 4) and the probability distribution of the vehicle historical optimal ratio, distributing the induction information. The dual-path road network individuation inductivity distribution method under the user equalization principle satisfies the user equalization principle to the utmost extent under the probability meaning to ensure the fairness of vehicle induction acceptance.

Description

technical field [0001] The invention relates to a dual-path road network personalized induction rate distribution method under the principle of user balance, and belongs to the technical field of traffic induction optimization. Background technique [0002] The release of traditional guidance information is to publish real-time information to a certain receiving medium according to the real-time status of the road section. The two main types of receiving medium are the VMS (Variable Information Traffic Sign) guidance screen for group vehicle guidance and the personalized vehicle guidance screen. vehicle terminal. From the macroscopic perspective of road network traffic flow, the control core variable of the two types of induction strategies is the separation rate of vehicles at forks, and the influence of induction information on vehicle route selection behavior is the key issue. [0003] The two types of induction strategies have their own advantages and disadvantages: VMS...

AI Technical Summary

Problems solved by technology

[0003] The two types of induction strategies have their own advantages and disadvantages: VMS induction can effectively regulate the traffic flow distribution of the road network and ensure the overall optimal road network, but all vehicles receive the same induction information, which lacks consideration for individual vehicles; Guidance can release targeted guidance schemes based on the different characteristic information of individual vehicles, effectively meeting the individual needs of users, but it often fails to consider the feedback impact of a large number of vehicles on traffic flow after receiving personalized guidance information, and it is difficult to optimize the overall road network. Guaranteed

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