A method and device for adaptive traffic signal control based on networked vehicle data

Abstract

The invention provides an adaptive traffic signal control method based on CV data, comprising the following steps: storing the CV data received in real time in a CV data storage module as the current cycle CV data; using the current cycle CV data to calculate the traffic signal of the next cycle Phase sequence and phase allocation time; use the calculated phase sequence and phase allocation time to control the signal and obtain data feedback; release the CV data of the current cycle, re-store the CV data of the next cycle, and store the data feedback in the data feedback storage module . The invention also provides a traffic signal control device based on CV data. The present invention predicts the current traffic flow according to the stored data, and controls the traffic flow according to the obtained phase information to obtain data feedback; the present invention obtains the data feedback while obtaining the optimal control decision, that is, understands the effectiveness of the control method , making the control more effective.

Description

Technical field [0001] The present invention relates to the field of traffic signal control technology, particularly relates to an adaptive traffic signal control method and apparatus based on the vehicle data network. Background technique [0002] In recent years, car ownership is increasing, but continue to expand the road is clearly unrealistic, so the use of traffic signal control to change the rate of vehicle traffic and reduce vehicle obstruction is very feasible at this stage a way, traffic signal control based on traffic flow state of the traffic flow control, the vehicle can be orderly, efficient and safe passage of the base, on the one hand under the effective control of vehicular traffic capacity can be increased and reduced air pollution; on the other hand reduces the obstruction caused by vehicle Economic losses. The current road detection systems, the main use of the loop detectors. [0003] Our data sources typically employed in a traffic signal control are basical...

AI Technical Summary

Problems solved by technology

[0003] Generally, the data sources we use in traffic signal control basically come from coil detectors, but in practical applications, coil detectors mainly have the following three disadvantages: 1) coil detectors can only be detected when vehicles pass by the detector. At that moment, specific information such as vehicle position and speed cannot be obtained; 2) If a loop detector is damaged, a large amount of traffic flow data will be lost; 3) The cost of installation and maintenance of the loop detector is also very expensive

[0004] From the above analysis, it can be seen that the application of the coil detector cannot provide a sufficiently accurate data source to the control system and the cost is very high

Images