| With the development of the "Internet+" economic model,the sharing economy is widely used in the transportation sector as a consumption model,and more and more users are seeking faster,more cost-effective carpooling experiences.The site is an important part of this business model.The optimization of the site not only affects the user’s sense of experience,the amount of driver orders,but also the irrational site density settings,it will increase the distance of the detour,and increase the cost of user travel.Based on the analysis of the characteristics of road network characteristics,this paper implements the scheme of auto-calibration of carpool sites.It aims at verifying the accuracy of site data through algorithms and quantitatively analyzing the rationality of site density.The main work includes:This paper proposes using the vector space model algorithm to verify that the geographical POI information matches the user’s recommended site name,and establishes the road selection model that is most suitable for the site setting,and combines the initial data in the middle of the road with the vector cross-multiplication algorithm.The site is tied to the roadside.This paper also studies the improvement of urban traffic flow model,the analysis of vehicles on the minibus business line,and the excavation of hot sites in the city recommended to site managers as data references.The idea of the original model is to first complete the review of traffic flow including traffic flow prediction,and then use the traffic volume to calculate other traffic.However,the traffic flow prediction should be based on accurate calculation of traffic flow.This article will adjust the flow of the model to consider the factors affecting the traffic volume first,and then predict the traffic volume.Although the original model considers the influence factors of traffic flow,the influence of weather on traffic flow is directly reflected by the vehicle speed.It will cause this constant factor factor to directly affect the vehicle flow instead of the vehicle speed.Second,the original model only briefly explained the weather factor and did not analyze how the weather quantifies the traffic volume.This paper considers the optimization of the calculation of traffic flow from the factors that affect the traffic flow.In the experiment,the algorithm was applied to the optimization design of the Wuhan upper and lower stations,and a method for quantifying the validity of the scheme was implemented.The detouring time ratio,the switching rate of the recommended station trip,and the on-site station of the recommended station were obtained.Rate,site NPS to verify the rationality of site settings,experiments show that the method proposed in this paper is feasible for site automation mining,help to optimize the accuracy of the site.Finally,based on the above experiments,this article uses PHP language to implement a carpool site management system that implements four modules:site information management,site density monitoring,site map tools,and report data collection. |
