The Model of Rail Transit Route Planning in Coastal Cities Based on Internet of Things

Abstract

Wan, Y., 2020. The model of rail transit route planning in coastal cities based on Internet of Things. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 730–734. Coconut Creek (Florida), ISSN 0749-0208.The traditional route planning model is not integrated with the actual travel situation of coastal cities, so a route planning model based on the Internet of Things is designed. Firstly, we deploy the Internet of Things identification transmission equipment, integrate the collection nodes into high cohesion module, study the travel distribution and predict the passenger flow, establish the objective function of urban rail transit line planning according to the distribution of passengers, put forward the constraint conditions from three aspects of station number, station spacing and station location, build the rail transit line planning model with C / s system, and according to the actual situation of the city. Finally, we evaluate the plan and choose the best one. Through the comparison with the actual situation of the experimental city, it is proved that the scheme of the designed model planning is optimal, and the validity of the design model is verified.