Urban bus dynamic scheduling optimization method and system

Abstract

The present invention belongs to the data processing technology field, and discloses an urban bus dynamic scheduling optimization method and system. The method comprises: on the basis of obtaining information such as degree of congestion of a bus, a road congestion condition, bus real-time location and the like, establishing a three-layer scheduling decision model comprising a time frame bus-times model, a departing time decision model and a path changing model; realizing information interaction of people, vehicles and roads through an internet technology; determining optimal time frame bus times through the time frame bus-times model from the beginning of balancing bus operating cost, passenger waiting time and riding comfort; taking the maximum total meeting times and the minimum total meeting stations of an area as a target regulation departing moment through the departing time decision model so as to effectively reduce the probability of transferring and waiting; and employing the idea of being far away from a jamming road by employing the path changing model to effectively improve the running speed and reduce the following station passenger waiting time, and arranging response stations to allow passengers having missed the stations to get off.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to an optimization method and system for dynamic dispatching of urban public transport. Background technique [0002] Reforming the bus operation dispatching mode to improve the attractiveness of public transport has become a current hot spot. At present, there are three main methods of dispatching technology. One is that the dispatcher completely relies on personal experience to dispatch. This is the most common dispatching mode. This mode has Disadvantages such as low scheduling efficiency, slow response speed, and poor pertinence; the other is that dispatchers in the dispatch center, based on real-time access to road and passenger flow information, manually dispatch. At present, there are few domestic applications, and this mode is also highly subjective. , low scheduling efficiency and high labor costs; the last one is to use computer software to rely on hist...

AI Technical Summary

Problems solved by technology

[0004] Technical problems existing in the prior art: 1. Differences in bus operation periods are not considered, and the scheduling results are poor in adaptability; (reason: computer technology is not used for scheduling, and the increased workload is difficult to complete manually

) 2. Did not realize the quantitative evaluation scheduling plan; (the difficulty of solving it lies in the determination of the quantitative evaluation model and the acquisition of real-time data); The establishment of related models cannot guarantee the travel time of buses on the way. The departure time determination model and route change decision-making model of this scheme solve this problem very well. less interference); 4. It is impossible to ensure that when unexpected situations such as traffic congestion occur on the bus line, correct decisions can be made in a timely manner to ensure the level of bus service and bus operation time

(Currently, there is no dispatch mode that considers urban road congestion and therefore changes routes)

5. No consideration is given to setting up a response station for passengers to get off the bus

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