Active public transportation signal priority control method based on public transportation real-time positioning information

Abstract

The invention discloses an active public transportation signal priority control method based on public transportation real-time positioning information, and the method is characterized in that the method comprises the following steps: 10, collecting the public transportation real-time position information; 20, predicting the traveling time when a bus arrives at an intersection stop line; 30, selecting a priority strategy for all buses which can arrive at an intersection in a next period, and calculating the total delay time of the buses under each priority strategy, wherein the priority strategies comprises a green light duration extending strategy, a green light recalling strategy and a phase jump strategy; 40, selecting the signal priority strategy with the minimum total time delay of the buses as the optimal strategy. According to the invention, the method is used for completing the active bus signal priority, and an optimization model and a solving algorithm inherit the strictness of a mathematic model, and have the practicality when facing the actual conditions, thereby reducing the delay and service interruption of the buses and the common traffic as much as possible so as to obtain the maximum benefits.

Description

technical field [0001] The present invention relates to city bus priority traffic technology, in particular to an active bus signal priority control method based on bus real-time positioning information, Background technique [0002] Along with the slowing traffic system expansion, the continuous growth of urban travel demand has caused many urban road networks to operate close to or beyond their operational capacity, resulting in excessive delays at urban intersections and frequent congestion during morning and evening peak hours And other issues. Traffic delays and congestion in turn cause additional vehicle energy consumption, exhaust emissions, and corresponding social and economic losses. At the same time, related possible changes in traveler behavior will also trigger some traffic safety hazards. However, in densely populated urban areas, in order to solve or slow down traffic congestion and its subsequent impacts, the methods and strategies of suppressing traffic tra...

AI Technical Summary

Problems solved by technology

Traffic delays and congestion in turn cause additional vehicle energy consumption, exhaust emissions, and corresponding social and economic losses. At the same time, related possible changes in traveler behavior will also trigger some traffic safety hazards

However, in densely populated urb

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