A Complete Guide to MLFF Deployment
According to Union Minister Nitin Gadkari, widespread adoption of MLFF barrier-free tolling can reduce toll collection operating costs from 12–15% to just 3–4%, while also saving approximately ₹295 crore in fuel annually and reducing 81,000 tonnes of CO₂ emissions.
Indian highways are moving past the FASTag era. Multi-Lane Free Flow (MLFF) tolling is here, and it promises zero-stop, zero-queue vehicle charging at highway speed. But how does it actually work on the ground? This guide walks you through every layer of MLFF deployment, from technology selection to system integration and go-live.
Why India Needs Barrier-Free Tolling Now
Most highway drivers have experienced delays at toll plazas. While FASTag reduced payment time, vehicles still need to slow down, causing congestion during busy hours. Multi-Lane Free Flow (MLFF) tolling eliminates this issue by allowing vehicles to travel at normal highway speeds while tolls are automatically collected using FASTag and number plate recognition, making highways faster, smoother, and more efficient.
What Is MLFF Tolling?
Multi-Lane Free Flow (MLFF) tolling is an advanced electronic toll collection system that allows vehicles to pass through toll points without stopping. Using overhead gantries equipped with ANPR cameras, RFID readers, and vehicle classification systems, MLFF automatically identifies vehicles and processes toll transactions in real time. By eliminating physical barriers, MLFF improves traffic flow, reduces congestion and fuel consumption, enhances road safety, and increases toll collection efficiency.
The Core Technologies Behind an MLFF System
Implementing barrier-free tolling is not a single product purchase. It is an integration of distinct technology layers. Each must perform reliably at highway speed, in all weather conditions, and around the clock.
1. ANPR Camera System
The ANPR camera system is a core component of any MLFF tolling system, enabling automatic vehicle identification for toll collection and enforcement. To ensure high accuracy at highway speeds, Wizpro deploys advanced global shutter ANPR cameras that capture the entire image frame simultaneously, eliminating motion blur and delivering clear number plate images even at speeds above 180 km/h.
Key advantages include the following:
High-accuracy number plate recognition
Reliable performance in rain, fog, glare, and low-light conditions
AI-powered vehicle detection
Seamless integration with MLFF tolling and enforcement platforms
This helps improve toll collection efficiency, reduce revenue leakage, and strengthen violation management.
2. UHF RFID Readers for FASTag Detection
For MLFF toll collection, FASTag-based identification relies on high-performance RFID toll collection systems. As an authorised Zebra partner, Wizpro provides industry-leading Zebra FXR90 Series RFID readers designed for high-speed tolling environments.
Our RFID infrastructure includes:
Zebra FXR90 RFID Reader for high-speed FASTag detection and multi-antenna deployments
MT242009 Linear Antenna (13 dBi) for long-range vehicle approach reads
MT243017 Circular Antenna (11 dBi) for accurate choke-point confirmation reads
Benefits include:
FASTag read accuracy exceeding 96%
High-speed vehicle identification
Reduced missed transactions
Multi-lane free-flow tolling capability
NETC and FASTag compliance
3. Vehicle Classification System
Accurate vehicle classification systems ensure the correct toll amount is charged based on vehicle category. Wizpro combines AI-powered video analytics, ANPR-based classification, LiDAR sensors, and axle detection technologies to classify vehicles automatically.
The system accurately identifies the following:
Cars and SUVs
Light Commercial Vehicles (LCVs)
Buses
Trucks
Multi-axle and oversized vehicles
This improves tolling accuracy, reduces manual intervention, and provides valuable traffic analytics.
4. Back-End Software Platform
The MLFF Software Platform acts as the intelligence layer of the tolling system, processing ANPR data, FASTag transactions, vehicle classification, and enforcement records in real time.
Key capabilities include:
Real-time ANPR and RFID processing
FASTag transaction management
Revenue reconciliation and reporting
Violation management
Centralised monitoring dashboard
Integration with NETC, NPCI, VAHAN, Sarathi, and existing Toll Management Systems (TMS)
The result is faster transaction processing, improved operational efficiency, and complete visibility across tolling operations.
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How to Implement Barrier-Free Tolling in India
A successful MLFF (Multi-Lane Free Flow) tolling system requires careful planning, integration, and testing. While every project has unique requirements, most deployments follow these key phases:
1. Traffic Survey & Planning
The process begins with a detailed traffic and site assessment, including vehicle volumes, lane configuration, infrastructure availability, and environmental conditions. This helps determine the ideal placement of gantries, ANPR cameras, RFID readers, and supporting systems.
2. System Design & Technology Selection
Based on survey findings, the complete MLFF technology stack is defined, including ANPR cameras, FASTag RFID readers, vehicle classification systems, power infrastructure, and network connectivity.
3. Infrastructure & Hardware Deployment
Gantry structures, power systems, networking equipment, ANPR cameras, RFID readers, and classification sensors are installed and configured for highway operations.
4. Software Integration
The MLFF software platform is integrated with FASTag payment systems, vehicle databases such as VAHAN, and existing toll management platforms to enable seamless transaction processing.
5. Testing & Calibration
The entire system is tested under live traffic conditions to verify ANPR accuracy, FASTag read rates, vehicle classification performance, and overall system reliability.
6. Pilot Run & Go-Live
Before full deployment, the system operates alongside existing toll infrastructure to validate performance. Once approved, the barrier-free tolling system goes live with continuous monitoring of ANPR, RFID, and transaction performance.
A structured implementation approach ensures high toll collection accuracy, smooth traffic flow, and long-term reliability for MLFF tolling projects.
How Wizpro Supports MLFF Deployment in India
Wizpro Consultech has been part of India's tolling and traffic automation ecosystem since 2019. Our deployment experience in lane ANPR installations contributes to India's current MLFF highway market footprint.
For MLFF projects, Wizpro provides the following:
• Site survey and system design consultancy
• ANPR camera systems with integrated AI-based OCR and VAHAN/Sarathi back-end
• UHF RFID reader integration for FASTag-based payment processing
• Vehicle classification solution integration
• Back-end software platform deployment and API integration
• On-site commissioning support and performance testing
• Post-go-live monitoring, maintenance, and SLA-based support
We work alongside EPC contractors, concessionaires, and highway authorities to deliver MLFF systems that meet NHAI's accuracy and uptime standards.
Conclusion:
Implementing barrier-free tolling in India is a multi-layered, multi-phase undertaking. But it is no longer experimental. MLFF systems are live on Indian national highways, and the technology has proven itself in some of the world's most demanding traffic environments.
The key to a successful MLFF deployment is disciplined site assessment, the right technology stack, robust integration with government databases, and a systematic commissioning process. Shortcut any of these, and accuracy and revenue performance will suffer.
If your organisation is planning an MLFF deployment or evaluating the technology for a highway project, Wizpro's team can provide practical, experience-based guidance from day one.
Contact Wizpro for a free site assessment and solution consultation:
Email: [email protected] | Phone: +91 84467 30988 | +91 9987233843 | Web: www.wizpro.in
