Curiosity · After 12th
How to learn AI in Transportation after 12th in Delhi
AI in transportation covers traffic flow prediction, vehicle and number-plate recognition, transit demand forecasting and connected-vehicle telemetry. It combines computer vision at the roadside with time-series modelling over movement data. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Transportation coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Transportation
- VSET programme
- B.Tech Industrial Internet of Things
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine AI in Transportation depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech Industrial Internet of Things — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches AI in Transportation
AI in transportation covers traffic flow prediction, vehicle and number-plate recognition, transit demand forecasting and connected-vehicle telemetry. It combines computer vision at the roadside with time-series modelling over movement data. At VSET this maps to elective-level coverage inside B.Tech Industrial Internet of Things.
- The sensing and connectivity layer is a degree track at VSET — the B.Tech in Industrial Internet of Things covers instrumented devices and data collection.
- Computer vision and deep learning, which underpin roadside and in-vehicle perception, are documented in the AI curriculum at learn.engineering.vips.edu.
- Transport planning is not a taught domain; the application appears in capstone and hackathon project work rather than named coursework.
- IIoT is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Transportation skills lead
Graduates applying AI in Transportation skills typically target roles such as Computer Vision Engineer, IoT Engineer, Perception Engineer, Embedded Systems Engineer, Machine Learning Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Transportation after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Transportation-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach intelligent transport systems?
Not as a named domain subject. The IIoT track covers sensing and connectivity and the AI curriculum covers computer vision; the transport framing comes from the project.
Is there hardware for a roadside prototype?
Yes. The AICTE IDEA Lab combines embedded hardware and 3D printing for rigs with GPU workstations for training.
Does this cover autonomous driving?
The perception techniques are taught, but full autonomous-vehicle engineering is not a VSET programme — students would treat it as self-directed or research work.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech Industrial Internet of Things — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31