Intersection optimal period duration calculation method considering downstream bus stations

Abstract

The present invention discloses an intersection optimal period duration calculation method considering downstream bus stations. The method comprises the following steps: 1) calculating the total delay time of vehicles at the intersection according to the real intersection vehicle operation real data; 2) controlling and calculating the arrival rate and the service time of buses and the accumulated number of the vehicles at the bus stations through combination of signals, and calculating the total delay time of buses at the bus stations; and 3) calculating the per capita delay time according to the formula, and calculating the optimal period duration according to the per capita delay time. The intersection and the downstream bus stations are taken as a whole unit for analysis, and through combination of the real survey data, the influence of the upstream signals on the arrival features of the buses is considered to calculate the arrival rate and the service time of the buses, the accumulated number of the vehicles and the bus station waiting in line and service rate at the bus stations, and the minimum per capita delay time is taken as a target to calculate the optimal period duration so as to provide the basis for managers to evaluate the operation efficiency of the intersection and the bus stations and enforce the refined management.

Description

technical field [0001] The invention relates to the field of public transportation, in particular to a method for calculating the optimal cycle duration of an intersection considering a downstream bus station. Background technique [0002] Cycle length is one of the important parameters of intersection signal timing. It is a key control parameter that determines the benefit of signal control. It is the main object of signal timing design. Appropriate cycle length is important for the evacuation of traffic flow at intersections and the reduction of vehicle delays. is of great significance. [0003] In recent years, with the growth of car ownership and the expansion of the scale of public transport vehicles, the demand for rides has continued to increase, and the congestion at intersections and bus stops has become increasingly prominent, hindering the further improvement of the operating efficiency of intersections and bus stops. This urgently requires more refined design an...

AI Technical Summary

Problems solved by technology

[0003] In recent years, with the growth of car ownership and the expansion of the scale of public transport vehicles, the demand for rides has continued to increase, and the congestion at intersections and bus stops has become increasingly prominent, hindering the further improvement of the operating efficiency of inter

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