Emergency vehicle navigation system and method based on real-time traffic flow in era of Internet of Things

Abstract

The invention discloses an emergency vehicle navigation system and method based on real-time traffic flow in the era of the Internet of Things, and relates to the technical field of intelligent traffic management of the Internet of Things. The invention discloses an emergency vehicle navigation system based on real-time traffic flow in the era of the Internet of Things. The system is composed of an Internet of Things cloud platform, a road information acquisition module, a vehicle driving parameter acquisition module, a vehicle-mounted GNSS, a traffic signal lamp information acquisition module, an LED display screen scheduling module and a video linkage module. According to the invention, the driving parameters of the emergency vehicle and the real-time information of the urban road are collected and analyzed; the driving path of the emergency vehicle is continuously corrected; the emergency vehicle can be ensured to go to an accident site at the fastest speed in the shortest time, theinterference of road conditions and traffic lights on the emergency vehicle in the driving process is expected to be reduced to the greatest extent by calculating the driving time and setting the LEDdisplay screen and the traffic lights, and the rescue efficiency of the emergency vehicle is improved.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things intelligent traffic management, and in particular relates to an emergency vehicle navigation system and method based on real-time traffic flow in the Internet of Things era. Background technique [0002] In recent years, the speed of urban road planning and construction has been far behind the growth rate of various types of motor vehicles. Traffic congestion has become a common phenomenon on urban arterial roads. Although the construction of urban roads and urban rail transit alone can relieve road traffic pressure to a certain extent , but the urban emergency vehicles will still be affected by the ground traffic in the process of going to the target location, and there is no guarantee that the emergency vehicles will go to the target location in the shortest time. In this context, the emergence of smart transportation has made urban traffic more intelligent, but the original intention...

AI Technical Summary

Problems solved by technology

[0002] In recent years, the speed of urban road planning and construction has been far behind the growth rate of various types of motor vehicles. Traffic congestion has become a common phenomenon on urban arterial roads. Although the construction of urban roads and urban rail transit alone can relieve road traffic pressure to a certain extent , but the urban emergency vehicles will still be affected by the ground traffic in the process of going to the target location, and there is no guarantee that the emergency vehicles will go to the target location in the shortest time

In this context, the emergence of smart transportation makes urban traffic more intelligent, but the original intention of smart transportation is to plan the most intelligent path for vehicles, and it cannot guarantee that emergency vehicles will not be disturbed by social vehicles on the designed path

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