A Dynamic Optimization Method for Adaptive Bus Departure Schedule

Abstract

The invention discloses a dynamic optimization method for an adaptive bus departure timetable, the steps are as follows: determine the all-day working period T of a bus line 1, the rated passenger capacity C and the maximum passenger capacity C of a bus service vehicle s and the bus departure interval t m ;Determine the cross-sectional passenger flow P of bus line l between station i and adjacent station j in the kth period ijlk The distribution of the distribution; according to the cross-sectional passenger flow data P of the first bus fed back in real time during the operation of the bus line l between station i and station ijlk (1) Match the cumulative distribution curve of the passenger flow section of the historical bus station on the bus line l, and predict the passenger flow demand distribution of the second bus section P ijlk (2), determine the departure time T of the second bus 12 ; Use the recursive method to determine the bus schedule for the full-day working hours T of the bus line l. The invention dynamically adjusts the departure time of the bus through the self-adaptive bus departure timetable, satisfies the constantly changing passenger flow demand, enhances the reliability of the bus service, reduces the delay of the bus running, and improves the satisfaction of the bus service.

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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