Bus priority signal control method based on multiple requests in vehicle networking environment

Abstract

The invention discloses a bus priority signal control method based on multiple requests in a vehicle networking environment, aiming at overcoming problems that a current bus priority signal control method has low prediction precision and cannot satisfy priority of multiple buses. The bus priority signal control method based on multiple requests in the vehicle networking environment includes the following steps: 1, collecting real-time information in the vehicle networking environment, and detecting multiple bus priority requests; 2, determining running statuses of the buses and determining whether the bus is behind a timetable; 3, predicting the time when the bus arrives at an intersection; 4, determining a signal control scheme that satisfies priority of multiple buses, including 1) solving green time required to meet the priority requests of multiple buses, 2) calculating a bus priority signal control scheme for a current period, 3) solving a signal control scheme of the next periodbased on a green time compensation algorithm, 4) calculating total delay of the intersection of each signal control scheme, and selecting the priority signal control scheme with the smallest delay.

Description

technical field [0001] The invention relates to a method for controlling a bus priority signal at an intersection, more precisely, the invention relates to a method for controlling a bus priority signal based on multiple requests in an Internet of Vehicles environment. Background technique [0002] In recent years, the traffic conditions at urban intersections in my country have become increasingly tense, and public transport has been given priority as an important means of alleviating urban traffic congestion, but its development has been slow. The development and application of bus priority intelligent systems at urban intersections is rapidly developing in developed countries, and bus priority under the Internet of Vehicles environment will surely become an important research field for urban intelligent transportation systems. [0003] The traditional bus signal preferentially uses single-point detection or multiple fixed-point detection to obtain the operation informatio...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the low prediction accuracy of the existing bus priority signal control method and the

Images