Smart city public transport safety real-time monitoring and early warning system based on big data

Abstract

The invention discloses a smart city public transport safety real-time monitoring and early warning system based on big data. The system comprises a bus driving route navigation module, a face recognition video monitoring module, a passenger carried article recognition statistics module, a central server, an early warning module, a passenger personal information database and a voice broadcast terminal. According to the invention, the road condition information in the bus driving process is obtained through the bus driving route navigation module. Passengers who have illegal criminal departments and escape criminals are identified through the face identification video monitoring module. The dangerous action is locked, tracked and monitored. Personal articles carried by passengers getting onand off the bus are compared and checked by combining a passenger carried article identification and statistics module. Effective monitoring of urban public transport road condition safety is realized, effective monitoring of passenger safety is also realized, the monitoring efficiency is improved, urban public transport safety accidents are greatly reduced, and life safety and article safety ofpassengers are guaranteed.

Description

technical field [0001] The invention belongs to the technical field of public transport traffic management, and relates to a real-time monitoring and early warning system for public transport safety in a smart city based on big data. Background technique [0002] Urban public transport is a public service product provided by the government for the public, which is of great significance to the development of the city and greatly facilitates the travel of citizens. Safety has become an issue that cannot be ignored in the development of urban transportation, so it is very important to strengthen the safety management of urban public transportation. [0003] Most of the existing bus safety management is based on traffic road factors, external environmental factors, vehicle factors and the driver's physical factors, without taking into account the harm caused by dangerous passengers to the safe operation of the bus, and there are many people taking the bus. There are various typ...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing public transport safety management is considered from traffic road factors, external environmental factors, vehicle factors and driver's physical factors, without considering the harm of dangerous passengers to the safe operation of public transport, and many people take public transport When fugitive criminals or criminals with criminal records take the bus, if there is no corresponding safety management warning for them, it may cause harm to the safety of other passengers

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