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ITS

integrated into the city’s
Integrated Command and
Control Center (ICCC), improving
Artificial Intelligence is no longer emergency response and route
optional in urban transport—it optimization.
is foundational. Its ability to
synthesize data, make instant A dedicated AI Mobility
decisions, and predict system- Innovation Fund worth `1,000
crore could catalyze broader
wide outcomes makes it deployment across India’s Tier
indispensable for India’s 2 and Tier 3 cities. Additionally,
mobility future. India can benefit from bilateral AI

– AKHILESH SRIVASTAVA partnerships—such as with Japan’s
UTMS, which offers AI traffic
forecasting models already tested
in dense megacities.

Capacity Building Infrastructure operators need Toward a National AI for
to be fully integrated into the
• Create a pool of at least 10,000 Mobility Mission
ITS professionals trained in AI AI-enabled system.
applications by 2030 through Human resource development India must now establish a
the ITS India Forum’s capacity- is equally crucial. By 2030, National AI for Mobility Mission
building programs, IITs, NITs, India will require at least (NAIMM) under the PM Gati
and NIC-accredited programs. 10,000 trained AI-for-Mobility Shakti framework. This mission
should unify AI deployment across
AI Governance & Ethics professionals working within public transit, highways, tolling,
urban local bodies, state transport
• MoRTH should collaborate departments, and municipal and safety systems, backed by
with MeitY and NITI Aayog to command centers. R&D funding, standardization,
develop a Code of Ethics for AI and outcome-based governance.
decision-making in mobility. Finally, AI systems must operate
within an ethical and legal By 2030, India must aim to:
Challenges and Strategic framework. Given the use of • Integrate AI-based ITMS or
Enablers facial recognition, license plate ATMS in 100 cities
tracking, and behavioural data,
Despite positive momentum, • Reduce urban travel times by
India’s AI-ITS journey faces India must develop privacy-first AI 30%
structural gaps that need to be governance protocols specific to
addressed with urgency. transport. • Cut transport-related fatalities
by 50%
AI requires vast, clean, and Public-Private Partnerships
standardized datasets. At present, and Innovation Push • Lower road emissions by 30%
traffic data across cities is By embedding intelligence at
fragmented. Establishing an Open Private sector innovation the heart of mobility, India has
Mobility Data Exchange under the is thriving. Companies like the opportunity to move faster,
NIC, BIS, or MeitY would enable Netradyne and Awiros are smarter, greener, and safer.
developers, agencies, and startups building AI platforms for traffic
References: ITS India Market Report
to build scalable, interoperable AI analytics, and telecom giants (2025) – Transparency Market Research;
models. like Jio and Airtel are investing Ministry of Road Transport and Highways,
in cloud-backed mobility AI 2023 – ATMS Guidelines; NITI Aayog –
Infrastructure constraints are solutions. National Strategy for Artificial Intelligence,
another barrier. To reduce latency 2018; Smart Cities Mission Toolkit –
and improve real-time accuracy, Public-private collaborations MoHUA; National Clean Air Programme
AI computation needs to shift are delivering results. In Pune’s (NCAP) Guideline; Delhi Integrated
toward the edge on traffic poles, smart corridor, real-time data Multi-Modal Transit System (DIMTS); Pune
Municipal Corporation – Smart Traffic
signal boxes, and toll plazas. from private ITS firms is now Control Pilot TT

40 TRAFFICINFRATECH / June 2025 / www.trafficinfratech.com