Self-adaptive dynamic optimization method for bus dispatching timetable

Abstract

The invention discloses a self-adaptive dynamic optimization method for a bus dispatching timetable. The optimization method comprises the following steps: determining full-day work time period T of a bus route I, rated passenger-carrying capacity C and maximum passenger-carrying capacity Cs of a bus service vehicle as well as bus departure interval tm; determining section passenger flow Pijlk distribution condition of the bus route I between the station i and the adjacent station j at the k time period; according to the matching of the section passenger flow data Pijlk (1) of the first bus fed back in real time in the running process of the bus route I between the station i and the adjacent station j and the history bus station passenger flow section accumulated distribution curve, predicating section passenger flow demand distribution condition Pijlk (2) of the second bus, and determining the bus departure time T12 of the second bus; and determining the bus dispatching timetable of the bus route I in the full-day work time period T by utilizing a recurrence method. According to the he self-adaptive dynamic optimization method, the bus dispatching time can be dynamically adjusted by self-adapting the bus dispatching timetable, thereby meeting the ever-changing passenger flow demands, enhancing the reliability of the bus service, reducing bus driving delay, and improving bus service satisfaction level.

Description

technical field [0001] An effective bus departure timetable is an important means to balance the contradiction between the service needs of passengers and the operating costs of bus companies. On the premise of not increasing the operating cost of the bus, the present invention utilizes massive cross-sectional passenger flow data of the bus to dynamically optimize the bus departure timetable, correlates and matches the bus departure interval with the variable bus travel demand, and improves the reliability of the bus service. Sex and satisfaction have an important role and belong to the field of urban public transport systems. Background technique [0002] Determining the departure timetable of urban public transport reasonably is the core task of the public transport operation manager, and it is one of the important ways to improve the public transport service level and improve the reliability of public transport service, which is very important to the urban public transpor...

AI Technical Summary

Problems solved by technology

However, optimization of bus schedules is a complex process

On the one hand, in terms of the number of departures of public transport vehicles, when the total number of departures of public transport vehicles is relatively small, although it will reduce the operating costs of public transport companies, it will also cause passengers to wait too long, and may also lead to Overcrowded vehicles reduce traveler satisfaction with public transport

When the number of departures of buses is too high, it may aggravate the traffic congestion on urban roads, causing buses to continuously arrive at bus stops, resulting in the phenomenon of "stringing cars", which not only cannot effectively reduce the waiting time of travelers, but also causes waste of social resources. Increase bus operating costs

On the other hand, on the basis of the determined number of bus departures, unreasonable departure intervals will cause the bus transport capacity to fail to meet the public transport travel needs of residents, and the bus vehicles will be overcrowded at some times or there will be many empty seats, causing the bus transport capacity to be insufficient. Can be wasted

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