Government-Ready ArchitectureDPDP AlignedUPI/FASTag CompatibleAudit-Ready ReportingProcurement-Aware Deployment
The cheapest new transport capacity in a congested city may already exist, the empty seats in vehicles already on the road. MTSAi helps cities unlock that capacity through rewards, fair pricing, and transparent public governance.
Share Your Ride. Pay Less. Earn Rewards. Support Your City.
Standards & Compliance
Congestion pricing is already proven. What cities need is a more politically sustainable way to evaluate, govern, and communicate it. MTSAi is designed to support that process through procurement-aware architecture, privacy-conscious data handling, and government-controlled policy logic.
Structure, accessibility, and publishing standards expected of GoI platforms, enabling public information to be reviewed, navigated, and maintained effectively.
Supports widely adopted security practices for access control, audit logging, and incident response, enabling evaluation against established frameworks.
Supports India’s personal data protection expectations through limited data collection, defined purpose, and built-in safeguards.
Designed for deployment within government-approved infrastructure, supporting data residency and sovereign hosting requirements.
Maintains structured records of policy rules, transactions, and incentive logic to support auditability and public accountability.
Supports integration with established national payment and tolling systems to align with existing commuter and agency workflows.
Audience Paths
Understand how MTSAi supports a more politically sustainable congestion pricing model with full government control over rules, budgets, exemptions, and accountability.
Explore how MTSAi integrates into existing ecosystems without replacing current infrastructure or user platforms.
Review the policy logic, system architecture, privacy model, and governance structure behind MTSAi.
The Problem & The Opportunity
Traditional congestion pricing can face resistance when road users experience it primarily as a charge without a visible public benefit.
At the same time, many vehicles entering congested corridors remain underutilized:
Private cars often carry only the driver
Taxis and ride-hailing vehicles often carry one passenger
Two-wheelers typically carry one rider
This means cities may already possess transport capacity that is not fully used.
A car carrying three people is not three cars.
The most cost-effective congestion relief is not always new infrastructure. It can also come from making better use of road space already in operation.
MTSAi is designed around that principle.
The MTSAi Difference
MTSAi uses a Reward-Based Congestion Pricing model, combining road-use pricing with meaningful incentives for behaviour that helps reduce congestion.
MTSAi is designed to help governments evaluate substantial recurring revenue opportunities from congestion management while building public acceptance through incentives, rewards, recognition, and transparent citizen participation.
In larger cities and high-volume corridors, properly designed congestion-management programmes may create revenue opportunities measured in millions, while also improving traffic efficiency and funding public mobility priorities. MTSAi is designed to help governments evaluate those opportunities without making the public feel that congestion pricing is only another penalty.
How Cities Encourage Participation
Public participation improves when incentives are clear, visible, and relevant.
MTSAi is also designed to support a city-branded commuter app as the primary way citizens participate in the programme.
Register once for the city’s programme
Participate in city-approved reward structures
Track their earnings and trip history
Engage with the programme on their own terms
The commuter participates visibly and earns rewards. The city gets a congestion management tool with built-in public engagement. The government remains in control throughout.
Public Trust Through Transparency
Long-term success depends on visible public trust.
This helps convert pricing policy into a visible public-benefit programme rather than a perceived charge.
Continuous Operation and Localization
MTSAi is designed as an operating platform, not a one-time installation.
Maintained continuously
Updated as traffic patterns evolve
Localized for each city
Adjusted to policy priorities
Integrated with evolving mobility and payment systems
Relevant
Accurate
Operationally effective
Sustainable over time
Government Control
For congestion pricing to remain publicly acceptable, government must remain visibly in control.
City authorities retain decision-making over:
Pricing rules
Incentive structures
Exemptions and equity protections
Enforcement thresholds
Budget allocation
Programme expansion or revision
MTSAi is designed to:
Implement approved policy logic
Support administrative oversight
Maintain auditability
Enable structured operations
The city governs the programme. MTSAi supports delivery.
Privacy by Design
Continuous GPS tracking
Biometric data
Cross-city identity linkage
Eligibility signals
Incentive and settlement records
Aggregated programme metrics
City authority acts as data controller
MTSAi acts as processor where contracted
Retention periods defined by policy and contract
Privacy is part of programme legitimacy, not an afterthought.
ABOUT MTSAi
MTSAi (Miracle Traffic Solutions AI) is a platform designed to help cities make congestion pricing more acceptable, effective, and sustainable.
India is the primary launch market.
Cities engage MTSAi through standard procurement processes.
Government retains policy control.
The city retains ownership of its authorised data.
Collaboration with Budapest University of Technology and Economics
Work related to vehicle occupancy estimation
Strategic integration pathways with recognised transport-technology partners
Open API architecture for future flexibility
MTSAi offers a structured pathway for governments and strategic partners to review:
Policy design options
Incentives and public acceptance logic
Revenue and governance frameworks
Integration pathways
Privacy and compliance posture
Pilot-readiness requirements