The Bus Line Supporting System Based On Learning Neural Network Model Applied In GIS

Abstract

With the rapid increase of urban population and rapidly widening scope of the city, the newly built residential areas emerging or leading to the existing bus lines could not meet the needs of the people’s activities. The phenomenon of the traffic congestion is becoming more and more serious. [1] According to the problem we based on the principle of convenient resident travel, we used the point line face integration optimization model to slow down the urban traffic congestion as the goal, combined with the population distribution model and the congestion nodes judging model. We make the city Chengdu as the research object and after our research the Chengdu bus route selection model is established. [2]At the same time, on the basis of this model combining with the ArcGIS technology, database technology achieved in the host framework programming language C# helped with the tool MATLAB combined with C++ language dynamic link library files and the algorithm model developed by the bus route selection model, we achieved our information system according the message or rules we mentioned in this passage. We compared our city bus route selection in the last part which we designed to the original route scheme optimization selection and further demonstrate the superiority of the new scheme. [3] Introduction The dramatic increase of population and the residential expansion in urban area will inevitably call larger and larger demand of the transportation, and it will result in traffic congestion. Factors caused by traffic jams are surrounding with the imbalance of the road population distributions, the capacity of road network and the traffic flow of roads each peak hour. That means it will increase the number of traffic flow translational velocity, the amount of motor vehicles, the number of traffic lights, etc. Based on the problem mentioned above in this passage, we catch the thought of the space factors and the traffic congestions in space appeared with three kinds of states like point, line and plane: Point It refers to the intersection of traffic congestion occurs separately which is only connected to its roads, and will not affect the adjacent intersections. Line It refers the traffic flow line corresponds with points due to some issues such as peak flows or the local traffic congestion which was not timely solved. Plane It refers to the traffic congestion related with sections overlapping between the road and road intersection and all of these points and lines constitute an appropriately traffic congestion. The model assumptions are listed below: The present study to optimize the bus line around the scope of population distribution in line follows a pattern that the nearly population increase gradually as the instance increasing. We assume that the population distribution is roughly accord with normal distribution along the bus lines. We assume that the daily average traffic flow per hour are roughly equal besides 7:00-9:00 and 18:00-20:00 when there is no emergency situation and the choice for route area within the scope of the traffic is equal to drivers. It’s equal to drivers for all choices of the route. 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015) © 2016. The authors Published by Atlantis Press 11

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2991/iccsae-15.2016.3 under the license https://creativecommons.org/licenses/by-nc

• https://download.atlantis-press.com/article/25848115.pdf

• https://www.atlantis-press.com/proceedings/iccsae-15/25848115,

https://academic.microsoft.com/#/detail/2321326891 under the license cc-by-nc