| With the development of Urban Rail Transit in our country, the constant improvement of network, more and more passengers choose subway. At the same time, the contradiction between capacity and demand is also increasing, the phenomenon such as the platform passengers stranded, congestion in the channel often occurs, and the passenger flow information data in our country is rich in content, abundant in data and numerous in variety. Based on the above reasons, this paper puts forward the concept of passenger flow crowd index for the first time. Combined with the passenger flow information, time, space and other factors, the passenger flow crowd index evaluates the passenger flow conditions generally. The passenger flow crowd index provides an auxiliary and decision-making role in daily operation management.Based on passenger flow crowd index, the thesis defines the related concept of passenger flow crowd index. The thesis further studies on constitution, classification, standard classification, modeling, and algorithm and so on. This thesis constructs the passenger flow intensity index prediction model in time and space level, and calculates the passenger flow crowd index based on the Internet of things. The thesis verifies the relationship between the commonly index of passenger flow and passenger flow crowd index. The result confirms that passenger flow crowd index can reflect the passenger flow condition, and has a realistic significance about operation management of Urban Rail Transit. Finally, based on the Internet of things of Beijing Subway, this thesis puts forward the concrete application in daily monitoring of passenger flow, and gives a specific sample show.There were several studies about comprehensive state evaluation of passenger flow. The thesis is the exploration for the first time. The research is still needs further in-depth and expand. However, considering various factors such as passenger flow gathering information, time, space, the thesis tries to evaluate the passenger flow situation, and conduct a comprehensive and scientific evaluation on passenger flow situation. The thesis provides a new train of thought about Urban Rail Transit monitoring, risk assessment and so on. |