Research on Vehicle-Road Co-Location Method Oriented to Network Slicing Service and Traffic Video

Abstract

The development of 5G network slicing technology, combined with the application scenarios of vehicle–road collaborative positioning, provides end-to-end, large-bandwidth, low-latency, and highly reliable flexible customized services for Internet of Vehicle (IoV) services in different business scenarios. Starting from the needs of the network in the business scenario oriented to co-location, we researched the application of 5G network slicing technology in the vehicle–road cooperative localization system. We considered scheduling 5G slice resources. Creating slices to ensure the safety of the system, provided an optimized solution for the application of the vehicle–road coordinated positioning system. On this basis, this paper proposes a vehicle–road coordinated combined positioning method based on Beidou. On the basis of Beidou positioning and track estimation, using the advantages of the volumetric Kalman model, a combined positioning algorithm based on CKF was established. In order to further improve the positioning accuracy, vehicle characteristics could be extracted based on the traffic monitoring video stream to optimize the service-oriented positioning system. Considering that the vehicles in the urban traffic system can theoretically only travel on the road, the plan can be further optimized based on the road network information. It was preliminarily verified by simulation that this research idea has improved the relative single positioning method.

A Graph-Based Scheme Generation Method for Variable Traffic Organization in Parking Lots

“…The edge sets E 1 = {(2,3), (3,4), (4,8)} , E 2 = {(5,6), (6,7), (7,8)} , E 3 = { (10,11), (11,12), (12,13)} , and E 4 = { (10,14), (14,15), (15,13)} represent four peripheral arterial roads within the graph g0. The directional orientation of these edges is consistently maintained to ensure connectivity across the network.…”

“…Simultaneously, the digital enhancement of roadside equipment augments the capacity for flexible traffic management within parking facilities, thus improving overall service efficiency. Among these technologies, sensory devices such as cameras, millimeter-wave radar, and lidar play integral roles in parking lot semantic modeling [12], risk assessment [13], vehicle positioning [14,15], and the precise monitoring and instantaneous response to both internal flow dynamics and external traffic conditions within the parking facility [16,17]. Furthermore, variable guidance devices are predominantly utilized to dynamically display traffic organization within parking lots [18].…”

Collaborative Accurate Vehicle Positioning Based on Global Navigation Satellite System and Vehicle Network Communication

“…Buehrer et al [19] considered the application of IoT and 5G to co-location, demonstrating its superior coverage and accuracy. Ma et al [20] proposed a BeiDou-based joint vehicle-road positioning method using the volumetric Kalman model to further improve the positioning accuracy. Ansari et al [21] investigated the supplementation of dedicated short-range communication and V2V by terrestrial communication systems to examine the positioning performance of vehicles.…”