A collision warning system might soon make Indian roadways safer to travel on.
A novel AI strategy is being applied here, with the goal of significantly reducing accidents by utilizing AI's predictive capacity to detect dangers on the road and a collision alarm system to send timely notifications to drivers.
The Intelligent Solutions for Road Safety via Technology and Engineering (iRASTE) initiative will use the Advanced Driver Assistance System (ADAS) to identify probable accident-causing events while driving a car and notify drivers to them.
It will also discover 'grey patches', by continually monitoring dynamic dangers on the whole road network through data analysis and mobility analysis. Grey spots are areas on highways that, if not corrected, might turn into black spots (locations with fatal accidents). In addition, the system does continuous road monitoring and creates engineering solutions to address existing road black spots for preventative maintenance and enhanced road infrastructure.
The iRASTE project is managed by the I-Hub Foundation at International Institute of Information Technology (IIIT) Hyderabad and a Technology Innovation Hub (TIH) in the technology vertical 'Data Banks & Data Services' that is funded by the Department of Science and Technology (DST) through its National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS) in collaboration with Intel Artificial Intelligence (INAI) (As Applied AI Research Institute).
The project collaboration comprises Central Road Research Institute (CRRI)- Council of Scientific & Industrial Research (CSIR) and Nagpur Municipal Corporation (NMC), as well as business partners Mahindra and Intel.
The Hub's mission is to organize, integrate, and expand fundamental and practical research in broad data-driven technologies, as well as to disseminate and translate it across the country.
The Telangana government is now in negotiations about incorporating the technology into a fleet of highway buses. There are also proposals to expand the scope of iRASTE to Goa and Gujarat.
I-Hub Foundation has also leveraged machine learning, computer vision, and computational sensing approaches for a variety of additional data-driven technology solutions in the mobility industry.
"One such solution is the India Driving Dataset (IDD), a dataset for road scene understanding in unstructured environments captured from Indian roads that deviates from the global assumptions of well-delineated infrastructure such as lanes, limited traffic participants, and low variation in object," the official said.
On the one hand, the Pune Mahanagar Parivahan Mahamandal Limited (PMPML) generates the largest daily income, but on the other, the company has trouble getting its electric buses (e-buses) charged at various electric depots (e-depots).More