Over the last few years, a lot has changed when it comes to toll collection systems in India. With FASTag, road users do not need to stop at toll plazas for cash transactions, thus allowing quicker and more convenient cashless transactions during highway travel.
However, the next stage of this evolution is not just digital payment.
Multi Lane Free Flow (MLFF) technology has an increased emphasis on barrier-free tolling, resulting in vehicles passing through a tolling point without stopping at conventional booths and barriers.
India has progressed to turn from a concept of talking about MLFF as future to roll it out on national highways. In May 2026, NHAI debuted the nation's first MLFF system at Gujarat's Chorayasi Toll Plaza on NH-48. MLFF was also implemented at some other locations by October 2026, including Mundka (Delhi-NCR), Gharaunda (Haryana), and various places in Rajasthan.
This evolution poses a fundamental question for highway users, as well as roadway owners and operators:
Will MLFF be India’s replacement for FASTag, or will they operate in unison?
The key is knowing exactly what both technologies do and how they are components of the same intelligent tolling ecosystem.
What Is FASTag?
FASTag - India's leading Electronic Toll Collection system using Radio Frequency Identification(RFID) technology
A FASTag is an electronic toll tag which is attached to a vehicle and linked to a payment account. When the vehicle arrives at a standard toll plaza, an RFID reader reads the FASTag and electronically deducts the appropriate user fee.
The FASTag vs. e-toll, like all things we hate but wish they could improve, did introduce improvements in highway tolling. This eliminated reliance on cash, decreased transaction times, and established an electronic record of toll payments.
But FASTag itself does not eliminate the physical limitations of a traditional toll plaza.
Cars still have to roll into a lane, come to a stop, and move through some sort of tolling point where some kind of barrier has been installed to dictate movement.
This differentiation is relevant for the next generation of tolling because it's not just about how a vehicle pays, but also how a vehicle flows through the toll area.
What Is MLFF?
Multi-Lane Free Flow (MLFF) is a Toll collection technique that allows motor vehicles to drive through a tolling zone without relying on traditional toll plaza sites.
Unlike traditional toll roads that divert traffic into separate lanes, MLFF uses smart roadside infrastructure to gather vehicle information and process user fees in real time while vehicles are en route.
The system can bring together multiple technologies, including:
- FASTag and RFID readers for electronic identification
- Automatic Number Plate Recognition (ANPR) cameras
- Vehicle detection and classification systems
- Cameras and sensors
- Communication networks
- Toll management and transaction-processing platforms
- Enforcement and reconciliation systems
From a driver's perspective, the biggest difference is simple: there is no need to stop at a boom barrier.
Behind that apparently simple experience, however, is a highly integrated technology environment that needs to identify the vehicle, determine its class, validate the transaction, and manage exceptions accurately.
India's current MLFF implementation uses ANPR together with FASTag-based Electronic Toll Collection, rather than replacing the FASTag ecosystem entirely.
FASTag vs MLFF: What Is the Difference?
FASTag and MLFF are often compared as competing technologies, but they serve different purposes.
|
FASTag |
MLFF |
|
Electronic toll collection mechanism |
Barrier-free tolling approach |
|
Uses RFID technology |
Can combine RFID, ANPR, cameras, sensors and software |
|
Generally works through designated toll lanes |
Supports movement across multiple lanes |
|
Vehicles slow down at conventional toll points |
Vehicles can pass without stopping |
|
Focuses primarily on electronic payment and identification |
Focuses on automated identification, classification, and toll processing |
|
Works within conventional toll infrastructure |
Reduces reliance on physical toll barriers and booths |
A simple way to look at it is:
FASTag answers: “How is the vehicle identified and charged electronically?”
MLFF answers: “How can toll collection happen while the vehicle keeps moving?”
This is why MLFF should not be treated simply as the replacement for FASTag. In India's current model, FASTag remains part of the technology stack supporting barrier-free toll collection.
Why Is India Moving Towards MLFF?
Rapid expansion of the highway network in India, along with growing volumes on it, is now posing new challenges for both operation and maintenance of tolling infrastructure.
Toll plazas, particularly during peak rush hour. Electronic toll collection still has vehicles slowing down to get into a certain lane and pass through a controlled point of tolling.
This approach solves the physical logjam of vehicles otherwise having to come to a stop in the tolling zone, as MLFF lets them continue moving.
The reason behind introducing MLFF, according to the Government of India, is that it would not only ensure a more seamless movement and reduced human interface but also help save time in travel as well as facilitate efficient collection of tolls.
MLFF has also been implemented in a staggered manner. There were several MLFF deployments along highways as reported by NHAI in October 2026, and it further stated that the system was being deployed across many National Highway fee plazas.
This turns the transition into more than an experiment with technology. It's now part of the larger push to modernise India's highway infrastructure.
Will MLFF Replace FASTag in India?
The simple answer is no - at least not in the way they are often portrayed.
This MLFF model of India is limited to the integration of FASTag-based toll collection with ANPR and AI-enabled systems. In this case, even with the physical toll barrier gone, FASTag remains relevant.
A vehicle is identified through its FASTag in an MLFF system; meanwhile, ANPR is capturing the vehicle's number plate independently.
The system can then apply further data (for example, by vehicle classification) to confirm the transaction.
This multiple-layer approach is necessary because if a transaction fails, there is no physical barrier that stops a vehicle from filming over the line.
For instance, if a FASTag is invalid (or inactive or with insufficient balance), the vehicle can still be detected from its registration number. Currently, NHAI has a provision in its MLFF framework for issuing electronic notices in such cases.
The transition is therefore better understood as:
FASTag → electronic toll payment
ANPR → vehicle identification
Vehicle classification → vehicle category
MLFF → integrated barrier-free tolling
Rather than replacing one technology with another, India is building a more connected tolling ecosystem around several technologies working together.
What Technologies Make MLFF Possible?
MLFF depends on the integration of multiple technologies rather than one individual system.
Automatic Number Plate Recognition
ANPR cameras capture and recognise vehicle registration numbers as vehicles pass through the tolling area.
This provides an independent vehicle-identification mechanism and can support transaction validation and enforcement.
FASTag and RFID
RFID readers identify the FASTag associated with the vehicle and support electronic toll collection.
Vehicle Classification
The toll amount can depend on the vehicle category. Vehicle classification technologies help determine whether the passing vehicle is a car, bus, truck, or another category.
AI and Video Analytics
AI-based analytics can assist with vehicle detection, identification, classification, and event processing, helping automate decisions that would otherwise require manual intervention.
Backend Toll Management
The roadside equipment is only one part of the system.
A central backend needs to process transactions, reconcile information, manage exceptions, support reporting,g and connect different technology components.
This is one of the reasons MLFF is fundamentally a systems-integration challenge, not simply a camera or RFID deployment.
What Are the Benefits and Challenges of MLFF?
MLFF can enhance the road-user experience and tolling processes.
The quickest benefit seen is smooth traffic movement. Vehicles travel freely through the tolling zone instead of stopping at a barrier, minimizing queues as well as needless acceleration and braking.
Automation will therefore reduce reliance on manual intervention but also require digital information for monitoring and transaction management for highway operators.
Other strengths are possible better traffic throughput, operating with reduced physical toll infrastructure reliance, increased transaction traceability, and improved highway space usage.
But MLFF is also challenging to implement well; efficiency should be a lot better, given how it looks when traffic jams hit every main road and no traffic lights are synchronised to the movement of cars and motorcycles. Vehicle categories that fail are not classified.
The non-compliant matches and FASTag transaction handling need to be rectified. The communication Networks and backend systems need to be resilient. Transactions that fail, are challenged, or are non-compliant also send signals for transaction handling processes in clear terms.
That means the whole system quality is crucial.
The success of an MLFF project lies in the seamless integration of its roadside equipment/software, communications, transaction systems, and operational support.
How GreenTech ITS Fits Into the Transition
India is moving towards barrier-free tolling, and the need now is for integrated Intelligent Transportation Systems rather than a multitude of equipment for only toll collection.
GreenTech ITS - Best Toll Management Service Provider operates in this larger tech ecosystem, with offerings that span AI-powered MLFF, Electronic Toll Collection, ANPR, vehicle classification & traffic management systems. The company also offers system integration, installation, commissioning, and service capabilities.
Such an integrated approach is relevant especially to MLFF, since the project needs multiple technologies that work in concert as a single system.
To take one example, scanning a vehicle from ANPR (Automatic Number Plate Recognition) must be integrated with the work done on FASTag-based ETC, and as all of this happens, many more inputs such as vehicle classification or even transaction processing can enter into the same operational environment.
GreenTech ITS's broader portfolio of Intelligent Transportation Systems (ITS) beyond tolling also consists of Advanced Traffic Management Systems, Weigh-in-Motion, and AI-based detection and compliance solutions that help integrate into intelligent highway infrastructure.
In this context, the transition to MLFF opens up paths not merely for more rapid toll collection, but also toward smarter, more connected, data-powered, and automated highway businesses.
What Does the Future of Tolling in India Look Like?
MLFF is expected to play a crucial role in India's journey towards high-tech toll roads.
The overall trend is obvious, as toll collection shifts away from physical plazas and pivots instead towards digital identification, connected roadside infrastructure, and backend systems.
Meanwhile, other technologies such as GNSS tolling continue to be evaluated for potential use in future distance- or usage-based road charging systems. It is quite distinct from MLFF and entails its different technical, operational, perational and regulatory facets.
India's ongoing MLFF rollout underlines its alignment towards a model where factors such as FASTag, ANPR, AI, and vehicle classification, along with centralised systems, can deliver data-driven tolling
For road users, it would mean fewer stops and more fluid journeys.
For highway operators, it means constructing infrastructure capable of sustaining ever more automated and data-driven toll management. As such, the next generation of toll collection will be defined less by the physicality of a toll booth and more by the intelligence working behind that piece of road.
Conclusion
This basically means the comparison between FASTag vs MLFF is not really a case of choosing one technology over another.
November 2012 saw the implementation of FASTag that transformed toll payment processes into an entirely electronic transaction, right at a time when India was going digital. MLFF promotes that the door is also open for vehicles to pass through tolling points without barriers and lane-based toll collection in the immediate future.
This indicates vehicle type and class to integrate those technologies and utilize them in conjunction, much like what India is currently executing. FASTag lays the foundation for electronic toll collection; ANPR, vehicle type and class, artificial intelligence, sensors, and backend platforms do what all these need to do to eliminate barriers in operation.
With MLFF being adopted across Indian highways, the focus would therefore shift to ensuring system integration is seamless, with proper vehicle identification for correct transaction processing followed by round-the-clock operational support.
This is much more than an upgrade to toll collection for the highway industry. This is one step closer to an increasingly connected and intelligent transportation ecosystem.
The future of tolling is not simply about collecting tolls faster. It is about keeping highways moving smarter.
Frequently Asked Questions
1. Will MLFF replace FASTag in India?
No. India's current MLFF model uses FASTag-based Electronic Toll Collection together with technologies such as ANPR and AI. FASTag therefore continues to play an important role in the barrier-free tolling ecosystem.
2. What is the difference between FASTag and MLFF?
FASTag is a license plate toll collection system employing RFID technology. MLFF is a more general method of barrier-free tolling based mostly on technologies like FASTag, ANPR, vehicle classification, and backend techniques that help it collect toll costs without using traditional barriers.
3. How does MLFF tolling work?
An MLFF system identifies vehicles as they pass through a tolling zone using technologies such as FASTag/RFID and ANPR. Vehicle classification and backend systems then help validate the vehicle and process the applicable toll transaction.
4. What happens if a vehicle has an invalid FASTag at an MLFF toll point?
The vehicle can still be identified through technologies such as ANPR. Under the current NHAI framework, vehicles with insufficient balance or an invalid/non-functional FASTag can receive an Electronic Notice for unpaid user fees.
5. What role does GreenTech ITS play in MLFF?
GreenTech ITS provides solutions across intelligent transportation and toll management, including AI-powered MLFF, Electronic Toll Collection, ANPR, vehicle classification, and traffic management. Its capabilities also include system integration, installation, commissioning, and maintenance.