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Bus behind-schedule recovering method based on arrival time predication with time window

A technology of time prediction and recovery method, applied in prediction, traffic flow detection, special data processing applications, etc., can solve problems such as poor dynamics, and achieve the effect of simple instructions, easy operation and time saving

Active Publication Date: 2013-12-11
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These plans will only make corresponding adjustments when the bus is actually delayed. Generally, adjustments are made from the departure point of the departure station. The dynamics are poor, and it is a passive dispatching plan.

Method used

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  • Bus behind-schedule recovering method based on arrival time predication with time window
  • Bus behind-schedule recovering method based on arrival time predication with time window
  • Bus behind-schedule recovering method based on arrival time predication with time window

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Embodiment Construction

[0046] Below in conjunction with accompanying drawing, the present invention will be further described:

[0047] Since the bus delay recovery method has not been covered in past studies, it is explained in detail:

[0048] A. Preliminary GPS data determination of bus vehicle forecast arrival time:

[0049] a. Processing of satellite positioning (such as GPS) data

[0050] 1) Use vehicle-mounted satellite positioning (such as GPS) data to obtain the position, time and instantaneous speed of the bus, record the time when the vehicle arrives at each station, and calculate the travel time R of the road section from the previous station to the next station. The urban bus section travel time data R is organized according to the time period, and the urban bus section travel time data R for each period is calculated (a) . For the travel time measured data R in the same time period (a)1 , R (a)2 ,∧,R (a)m , to calculate the average travel time data of urban bus segments in this ...

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Abstract

The invention discloses a bus behind-schedule recovering method based on arrival time predication with a time window. The method provides a behind-schedule recovering concept on the basis of arrival time predication of a bus. The specific method comprises the following steps of: firstly, predicating arrival time of the bus by using Kalman filtering; secondly, taking a predication result as the basis and giving out a dispatching time judging time window; and finally, providing the behind-schedule recovering concept and introducing a time deviation coefficient; taking a corresponding speed of a critical time deviation coefficient and a maximum allowable speed as restrictions to establish a behind-schedule recovering model, so as to provide a referred speed of road segment driving to a bus driver and a dispatching center to avoid possible behind-schedule or recover normal operation as soon as possible.

Description

technical field [0001] The invention relates to the field of bus operation scheduling, in particular to a bus delay recovery method based on arrival time prediction with a time window. Background technique [0002] Bus operation scheduling is one of the core tasks of the entire bus company. The dynamic scheduling of public transport vehicles is an effective way to effectively improve the service level, thereby enhancing the attractiveness of public transport and alleviating urban traffic congestion. [0003] Bus delay recovery means that when the bus arrival time deviates from the timetable, a series of solutions are adopted to make the bus arrive on time at the follow-up station, which is essentially a real-time scheduling scheme. The late recovery proposed in this scheme is based on the Kalman filter to predict the arrival time of the bus, judge the scheduling opportunity in the form of a time window, and use the reference average speed between bus sections as the schedul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06Q10/04G08G1/01
Inventor 张健尹婷婷纪翔峰马春景冉斌
Owner SOUTHEAST UNIV
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