Abstract
The current globalisation of the economy has contributed to the rapid development of urban rail systems in various countries. While advanced rail transport offers people the diversity of travel, it will still provide many potential safety hazards. The relatively dense distribution of motor vehicles in cities has led to problems such as road congestion and damage to facilities being common in cities, affecting the safety of people and property in cities to some extent. Failure to pay active attention to urban road traffic safety issues may increase the overall risk of road traffic safety and lead to more serious traffic accidents. Urban traffic safety is an important foundation of modern urban construction, which involves the healthy life of residents and the human progress of the city. Therefore, this paper analyses the demand for safety monitoring and early warning in urban rail transit construction, addresses the problems in the current rail safety management system, uses the visualisation tools provided by MATLAB for traffic volume analysis and prediction, establishes a solid model of urban rail transit, and under the set digital simulation conditions, takes the actual road as an example to theoretically validate the model, which is verified to have high accuracy and feasibility The model is verified to be accurate and feasible. The intelligent urban rail transit safety control and early warning system based on MATLAB can make comprehensive use of the dynamic risk evaluation mechanism and deviation alarm technology to establish a perfect tracking feedback and early warning mechanism to achieve dynamic control of risk and improve the guarantee for the normal operation of urban rail transit construction.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.