Crowd space-time distribution prediction interaction method based on intelligent mining model

• Main Authors: YANG JUNYAN, DAI YUNLAI, SHI YI, ZHENG KUNYI, GU JIE, CHEN JIAHAO, JANG JONG-HO
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a crowd space-time distribution prediction interaction method based on an intelligent mining model in the field of urban planning. The method comprises the following steps: inputting and standardizing geographic space information; constructing a 500 * 500m grid, and performing coupling calculation on an index value; performing sample expansion on the change quantity value of each grid crowd in each time period; calculating a crowd change quantity extreme value and a crowd distribution mode of each grid; constructing a human-ground relationship training model; calculating a crowd space-time distribution prediction result of each grid; and displaying a prediction result and adjusting and feeding back in real time. The method solves the problem of crowd space-time distribution prediction in a complex large-scale urban environment, solves the problems of long period, low accuracy and the like of crowd space-time distribution prediction of an urban planning scheme, and is more accurate in s