Page 9 - TT Mag Feb 2024 Digital Edition_New

UPDATE

Bharat Multimodal Mobility Stack (BM S) initiated by IIT Madras
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igital infrastructure, analyses and archives data. The mobility research with various centres
which complements analysed data is accessible via an working on advanced automotive
the physical application program interface (API) design, battery engineering and
infrastructure, will be for end users to leverage. Data electric vehicles, wireless technology,
the innovation engine relating to driving behaviour, vehicle railways, urban transport, tyre and
Dto advance future dynamics, surveys, maps, sensors vehicle mechanics, ports, waterways
mobility. Such digital infrastructure and GPS vehicle traces are fed into and coasts.
is critical for any nation to move the repository. This data is then
The various projects at IIT Madras
forward with its mobility growth filtered of inappropriate content include real-time traffic data,
in a safe, sustainable and equitable using Machine Learning and AI advanced traveler information
manner. The Mobility and Intelligent tools. Using algorithms, patterns systems (ATIS), dynamic bus arrival
Transportation (MInT) collaborative, are extracted and models simulated
anchored at IIT Madras, aims to to make predictions based on predictions, bus signal priority
bring industry, government and these large datasets. The output so systems, a personalised transit route
public agencies and academia generated could be used to inform guidance app, an intermediate public
transport mobility as a service app,
together to co-create the Bharat decisions on pedestrian and road dynamic allocation of emergency
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Multi-Modal Mobility Stack (BM S) safety, reduce congestion, support vehicles, an urban freight transport
– a digital public good – to enable driver assistance systems and
holistic system solutions aligned with contribute to lowered emissions. consolidation app, driving simulators
sustainable development goals. Users may also test and optimize and connected instrumented vehicles.
their own models by plugging them Prof. V. Kamakoti, Director of IIT
MInT is a pre-eminent global
initiative to build digital mobility into the stack and deriving value Madras said: “Our cities are an ideal
infrastructure, R&D portfolio and from the large-scale digital twin test bed to solve for future mobility
of the world. Future mobility is an
a skilled workforce to develop encapsulated by the stack. interdisciplinary research area. IIT
breakthrough mobility solutions to IIT Madras BM S portfolio includes Madras encourages interdisciplinary
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realise the following Sustainable research proposals on multimodal
Development Goals (SDG) including freight planning for Indian Railways, work, and this collaborative
50% reduction in total transport multimodal trip planner in smart will enable industry-academia
emissions, 50% reduction in fatalities cities for MoHUA and improved collaboration to develop solutions.”
and 50% of all transport from net safety and efficiencies of highways Prof. Gitakrishnan Ramadurai, faculty
zero modes (energy efficiency). for MoRTH. The MInT collaborative in-charge of the MInT collaborative,
is officially expected to be launched says: “Mobility involves supply-
The Bharat Multi-Modal Mobility
Stack is built around a collaborative in March 2024. demand interactions across varied
stakeholders. Allowing for research in
repository that collects, understands, IIT Madras has been at the core of
silos will lead to sub-optimal solutions.
We are at an important crossroad, a
once in a century opportunity, where
digital technology, particularly AI, is
redefining every sphere of our life. The
collaborative is based on the principle
of collaborate and compete as we
bring together industry competitors
and government agency on the same
table with academic innovators. I
invite all stakeholders to join this
collaborative as we build in India
solutions that will solve for the whole
world”.
The MInT collaborative will be
organizing their first Mobility Summit
April 4 to 5, 2024.

www.trafficinfratech.com / February 2024 / TrafficInfraTech 9