Variable message sign (VMS) coordination control method and system under information guidance

Abstract

The invention discloses a variable message sign coordination control method under information guidance. The method comprises the following steps: S1, the traffic information parameter values in a regional road network are acquired; S2, a hidden Markov model is used to build a transfer model for the traffic flow state in the regional road network; S3, an EM algorithm is adopted to solve the built hidden Markov model, and the road network traffic state information is obtained; S4, traffic guidance information is generated according to the road network traffic state information; S5, the traffic guidance information is published through the variable message sign; and S6, the published traffic information influences the traffic flow state of the road network. The invention also discloses a variable message sign coordination control system under message guidance by using the method. The system uses a dynamic influence transfer model to simulate changes of the state of the road network at the next moment, an influence matrix is solved statistically according to historical data, the state of adjacent roads under the current event is estimated, reasonable information is published through the adjacent VMSs to guide traveling.

Description

technical field [0001] The invention relates to the field of distribution and collection of traffic information. More specifically, it relates to an information-guided variable information intelligence board coordination control method and system. Background technique [0002] In the actual traffic management process, it can be found that the traffic information released by the urban road traffic management department will affect the drivers on the way to a certain extent (including their driving habits, and even changes in travel routes), which directly or indirectly lead to Dynamic changes in road network traffic conditions. However, because the information released by the traffic system is not 100% accurate, there is usually a certain deviation, and the driver's choice of travel route is random, and the information publisher cannot fully grasp it, so the driver may not strictly follow the information released by the traffic information terminal. Instead, it combines its...

AI Technical Summary

Problems solved by technology

However, because the information released by the traffic system is not 100% accurate, there is usually a certain deviation, and the driver's choice of travel route is random, and the information publisher cannot fully grasp it, so the driver may not strictly follow the information issued by the traffic information terminal. Instead, it integrates its past driving experience with current traffic information obtained to determine its behavior

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