The invention discloses a rResponse type community public transportation driving scheduling optimization method

Abstract

The invention relates to a response type community public transportation driving scheduling optimization method. The method comprises a first-stage static scheduling optimization stage and a second-stage dynamic scheduling optimization stage. In the first stage, for the travel demand received before departure, the demand and the driving route which need to be responded by the current class of vehicles are determined by solving an optimization model; and in the second stage, on the basis of the first stage, for demands received after departure of the current class, dynamic demands needing to beresponded by the current class are determined by solving an optimization model, and a driving route is adjusted. According to the method, the model target is optimized and the no-load rate is considered; p; passenger dissatisfaction and vehicle operation mileage are not satisfied; t. The demand response constraint is considered in the constraint condition; according to the method, the passenger capacity constraint and the vehicle arrival time of the public transport vehicle are optimized, meanwhile, the individual requirements of the passenger origin and destination stations are met, the requirements of different grades are selectively responded, the method can better adapt to the characteristics of the community public transport passenger travel requirement space and time distribution volatility, and therefore the operation level is improved.

Description

technical field [0001] The invention relates to a method for optimizing community bus traffic scheduling, in particular to a responsive community bus traffic scheduling optimization method considering demand origin and destination points and demand levels. Background technique [0002] In order to improve the convenience of urban residents in the "last mile" of travel, community buses have emerged as the times require, forming an effective supplement to the bus network. In order to meet the fluctuating needs of public transport in the community, demand-responsive public transport has been proposed, which provides more personalized services and makes it more convenient for citizens to travel. However, for the important demand origin and destination elements in responsive community bus dispatching, the current design method only considers passenger boarding requirements, passengers can only get off at fixed stops, and does not classify different needs. There is no targeted op...

AI Technical Summary

Problems solved by technology

[0008] As for the research on community bus dispatching, most of them follow the regular bus dispatching method with fixed routes. Due to the fluctuation of demand space and time distribution, on the one hand, it is difficult to meet the needs of passengers, and on the other hand, it causes an increase in operating costs. The authoritative literature includes "Research on Public Transport Microcirculation System in Urban Residential Areas"

[0009] To sum up, conventional public transport is still a fixed line type, and the driving plan can only be optimized indirectly by optimizing the departure time, and the response ability to the fluctuation of demand distribution within the region is poor

Responsive buses have good self-adaptability to demand fluctuations in traffic dispatching, and can reduce the occurrence of low-load and empty-load situations while improving passenger satisfaction. However, the current dispatching method only considers You can only get off at fixed stations, and there is no classification for different needs, which cannot well meet the demand distribution of getting on and off in bus travel

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