The Future of Open Road Tolling: Cost-Effective Solutions with Machine Learning
The landscape of Open Road Tolling is undergoing a significant transformation, driven by advancements in machine learning for vehicle recognition. These developments are reshaping how tolling agencies manage infrastructure costs, particularly in reducing capital expenditures (CAPEX).
Eliminating Expensive Toll Gantries
Traditional tolling systems rely on costly above-ground toll gantries that incorporate RFID toll tags, in-ground vehicle detection, and classification systems (VDS). These gantries have long been the industry standard for free-flow tolling and all-electronic tolling (AET). However, the emergence of video-based technology has proven to be a game-changer, offering a low-cost, high-accuracy alternative.
Instead of investing in traditional tolling infrastructure, tolling agencies can now implement camera-based systems mounted on simple roadside poles such as luminaire or cantilevered structures.
Cost Comparison: Traditional vs. Video-Based Tolling
The cost comparison between traditional tolling infrastructure and video-based solutions is staggering:
1) Traditional toll gantry installation: Starts at $500,000 and up per site.
2) Roadside pole installation: Around $20,000 per pole.
This shift translates into millions of dollars in savings for government tolling agencies, allowing funds to be reallocated to other infrastructure projects and operational improvements.
Video-Based Open Road Tolling: A Game Changer
The rise of video-based tolling solutions is made possible by AI-driven vehicle recognition systems that accurately detect and classify vehicles, count axles, and process transactions in real time. These solutions eliminate the need for physical vehicle detection sensors embedded in roadways, reducing installation and maintenance costs.
Inex Technologies Leading the Charge in Open Road Tolling
At Inex Technologies, we are at the forefront of this transformation with our RoadView product suite. Our video-based detection, classification, and axle counting systems are already deployed in real-world tolling environments worldwide, enabling tolling agencies to reduce infrastructure costs while maintaining high accuracy and reliability.
By leveraging cutting-edge AI and machine learning, Inex Technologies provides cost-effective tolling solutions that revolutionize the industry. If you’re looking to optimize toll collection while minimizing infrastructure investments, our team is ready to help.
Conclusion
The future of tolling infrastructure is evolving rapidly. With machine learning-powered video recognition, government agencies can achieve significant cost savings while maintaining seamless, accurate, and efficient toll collection. As industry leaders, Inex Technologies continues to drive innovation, helping tolling agencies embrace next-generation, cost-effective solutions.