V2N-Based Algorithm and Communication Protocol for Autonomous Non-Stop Intersections

2026-03-05

AI Summary

This work proposes Moveover, a novel algorithm addressing the safety and efficiency limitations of conventional intersections stemming from centralized control and communication constraints. Leveraging a V2N (vehicle-to-network) architecture, Moveover decentralizes trajectory planning to connected autonomous vehicles, enabling them to autonomously optimize speed and trajectories without stopping. By integrating a lightweight local controller, the approach achieves deterministic reservation of conflict zones while explicitly accounting for 4G/5G network latency. The method accommodates individual vehicle dynamics and supports diverse intersection geometries, including single/multi-lane configurations and roundabouts. Extensive simulations on real-world road networks demonstrate that Moveover significantly outperforms baseline methods, markedly reducing travel time and vehicular emissions, while maintaining scalability and practical feasibility for real-world deployment.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Agent Communication
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Intersections are critical areas for road safety and traffic efficiency, accounting for a significant portion of vehicle crashes and fatalities. While connected and autonomous vehicle (CAV) technologies offer a promising solution for autonomous intersection management, many existing proposals either rely on computationally heavy centralized controllers or overlook the practical impairments of real-world communication networks. This paper introduces seamless mobility of vehicles over intersections (Moveover), a novel algorithm comprising a vehicle-to-network (V2N) communication protocol designed to let vehicles cross autonomous intersections without stopping. Moveover delegates trajectory and speed profile selection to individual vehicles, allowing each CAV to optimize them according to its unique kinematic characteristics. Simultaneously, a local intersection controller prevents collisions through deterministic conflict zone reservations. The algorithm is rigorously evaluated under both ideal and non-ideal networking conditions, specifically modeling 4G and 5G communication delays, across multiple layouts including single-lane, multi-lane, and roundabouts. Furthermore, we test Moveover on a real urban map with multiple intersections. Simulation results demonstrate that Moveover significantly outperforms baseline strategies, offering substantial improvements in travel times and reduced pollutant emissions.

Problem

• autonomous intersections
• connected and autonomous vehicles
• V2N communication
• non-stop crossing
• traffic efficiency

Innovation

• V2N communication
• autonomous intersection management
• conflict zone reservation
• connected and autonomous vehicles
• non-stop intersection