Digital twin applications in high-speed intelligence.

In recent years, digital twin technology has been spreading more and more widely and is considered an effective means of creating an interactive fusion between the information world and the physical world. Digital twin technology provides more accurate and efficient solutions for various industries by digitally modeling objects, processes and systems in the real world, enabling a high degree of consistency between the virtual and the real world.

In the field of intelligent transportation, digital twin technology can be applied to many aspects such as traffic flow simulation, intelligent traffic management, and vehicle autonomous driving, and has great room for development.

How to understand "digital twins"

Basic concept: The dynamic representation of past and present actions or processes of a physical entity in digital form.

Technology definition: It is to make full use of physical models, sensor updates, operation history and other data, integrate multidisciplinary, multiphysical quantities, multiscale, multiprobabilistic simulation processes, complete mapping in a virtual space, thus reflecting the full life cycle process of the corresponding entity equipment.

Application of easy-form intelligence at high speed in intelligence

NRT has now been implemented in digital twin scenarios such as smart highways, toll stations, and tunnels, and with the help of digital twin capabilities, it has achieved full, 24 / 7 and full-time accurate perception of people, cars, and the environment on the highway. With the premise of precise time synchronization, high-precision maps and high-precision location perception are used to achieve the construction of an accurate time-space system. Combining the business demand characteristics of the scene, the capabilities of fusion computing, simulation forecasting, and auxiliary decision-making provide support for traffic management and operation services.

1 . Smart High Speed Application Cases

By obtaining real-time data from sensors, intelligent devices, traffic volume, average speed, road traffic events, and so on can be automatically analyzed. The digital twin technology is used to build a three-dimensional high-precision twin traffic scene, achieve real-time data three-dimensional visualization, assist users in fully grasping high-speed road traffic conditions, and provide strong support for business decision-making.

2 . High Speed Toll Station Cases

By building a digital twin smart toll station, we will solve the situation of low toll efficiency and congestion at toll stations, help highway operation and management, and enhance the travel experience of residents.

3 . Smart Tunnel Cases

Tunnels have the characteristics of narrow space, closed structure, and no emergency lanes, and are easy to induce secondary serial accidents after an accident, which is a key risk point for highway operation management. Through digital twin technology, NRT adopts a combination of LiDAR and video to form a digital twin and comprehensive control of traffic behavior and equipment status in the tunnel, achieve efficient accident resolution and improve the intelligent operation and management capability of equipment in the tunnel.

Digital twin applications in high-speed intelligence

The intelligent highway road , tunnel and toll station are typical representatives of intelligent scene applications . The following focuses on the digital twin applications of these three scenes .

1 . The Smart Tunnel

The main problems existing in tunnel management are: the existing equipment collection information means in the tunnel are simple, the information silos of various facilities are serious, and two passengers and one critical vehicle cannot be effectively monitored and identified.

Technical features :

1. Achieve full-area holographic traffic sensing within the tunnel; Through the real-time monitoring of trajectory and driving behavior, we can detect motor vehicles, pedestrians, speeding, changing lanes, parking, and retrograde events in the tunnel, forming a rapid and accurate detection capability of "discovery reports" and accurately grasping the types and number of vehicles in the tunnel as well as the location of vehicles and the location of events.

2. Achieving efficient accident resolution coordination: Through edge computing and roadside IoT intelligent middleware, we can achieve unified administering, access configuration, and operation policy control of different device protocols, thereby enabling the interoperability of emergency resolution plans.

2 . Smart toll booth

The toll system is a core component of highway operations and is also closely linked to the travel user experience. At present, the pain points of the toll collection station are mainly as follows: the toll collection station has more outfield equipment, lack of intensive deployment, and the failure of ETC vehicle transaction has a certain proportion, which affects the efficiency of ETC lane; The traffic order management in toll square is difficult, and there are many special situations such as overcrowding and green clearance, which take a long time to resolve.

Technical features:

1. The toll square digital twin, visual dynamic demarcation and full-time tracking, is used for full-time track of special vehicles, manual active control, and rapid disposal of special situations.

2. Multiple levels of accompanying inducement is used to induce sensitive vehicles in front of toll plazas, separating sensitive ones from normal vehicles.

3 . Road coordination and full-segment situational awareness

In order to create a safe and smooth highway traffic environment, it is necessary to strengthen traffic event perception ability, accident prevention and rapid disposal ability。At this stage, high-definition video has been fully covered, but there are still the following outstanding problems:

1. When the video is used in bad weather conditions, such as fog, rain, snow and mist, the usability of the video is significantly reduced, and it fails to meet the requirements of all-weather perception.

2. Due to the high false alarm rate , low monitoring accuracy and large manual confirmation intensity of road traffic events based on video , the lack of intelligence makes it difficult to realize active traffic control and more efficient handling .

Technical features :

Realize the synergistic linkage of full-area holographic traffic perception and electromechanical monitoring system in key sections ； Realize the cooperation of lane-level navigation with the Internet and realize the data docking of real-time digital twin perception and Internet navigation .

The digital twin application scenario is very broad . In addition to the above-mentioned application in the smart highway , NRT is also developing vigorously in many industries such as smart city , smart park and smart exhibition hall .