Urban bus line multi-station linkage scheduling optimization method in Internet of vehicles environment

Abstract

The invention discloses an urban bus line multi-station linkage scheduling optimization method in an Internet of vehicles environment. The method comprises the following steps: constructing an urban bus line multi-station linkage scheduling feature data set in the Internet of vehicles environment; determining a bus line linkage scheduling key station and a control section in the Internet of vehicles environment according to a station time headway fluctuation characteristic value of a bus stop; determining endurance time of passengers waiting for a bus arrival service in the Internet of vehicles environment; according to the influence of the get-on and get-off time of passengers at the stop station and the number of bus doors on bus stop time under the restriction of the rated passenger number, calculating the bus stop time under the multi-factor restriction in the Internet of vehicles environment; calculating bus arrival service time in the Internet of vehicles environment; and determining the urban bus line multi-station linkage scheduling optimization method in the Internet of vehicles environment according to a calibration condition of a running state of a bus in the control section. Through bus line multi-station linkage scheduling, delay of a bus line operation process is reduced, and a bus punctuality rate is improved.

Description

technical field [0001] The invention relates to a bus dispatching method, in particular to an optimization method for multi-station linkage dispatching of urban bus lines under the Internet of Vehicles environment, and belongs to the technical field of intelligent traffic management and control. Background technique [0002] Urban public transport plays a pivotal role in urban development and is also an important way to improve the quality of life of urban residents. With the development of the economy and the improvement of people's income levels, people hope to take safe, fast, punctual and convenient public transport vehicles , hoping to enjoy good service. [0003] However, due to factors such as road traffic conditions and driver's driving skills, buses often cannot follow the pre-set schedule to arrive at the stop on time, resulting in large fluctuations in headway when the bus arrives at the stop, which in turn affects the bus service Level. [0004] The development...

AI Technical Summary

Problems solved by technology

[0003] However, due to factors such as road traffic conditions and driver's driving skills, buses often cannot follow the pre-set schedule to arrive at the stop on time, resulting in large fluctuations in headway when the bus arrives at the stop, which in turn affects the bus service Level

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