Digital Twin of Highway Entrances and Exits: A Traffic Risk Identification Method

Abstract

Aiming at the traffic risks at the entrances and exits of expressways, drones are used to obtain aerial video, and machine vision methods are used to extract traffic flow micro-data including driving trajectories and vehicle speeds, and segmented and integrated according to vehicle trajectories and speeds, and Prescan is used to build roads and driving trajectories. Model, and based on the driving simulation interface, the traffic trajectory simulation is realized in Vissim, which is used as a digital twin system of microscopic traffic flow at the entrance and exit sections of the expressway to realize the equivalent mapping of traffic flow at the entrance and exit sections. On this basis, the traffic conflict technology is further adopted to complete the identification of traffic risks at the entrance and exit of the expressway, and provide decision-making suggestions for safety improvement for the traffic safety management department.