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Check Out: Accident Prone Stretches on National Highways in India Jul 30, 2021, 11:42 IST Transport Research Wing (TRW), Ministry of Road Transport and Highways has collected the Black spot data from States/UTs based on their assessment and forwarded it to concerned agencies NHAI, NHIDCL and DG Roads for further action. “Road Accident black spot is a stretch of National Highway of about 500m in length in which either 5 road accidents (in all three years put together involving fatalities/ grievous injuries) took place during the last 3 calendar years or 10 fatalities (in all three years put together) took place during the last 3 calendar years.”. The statewise detail of blackspots identified by TRW is enclosed at Annexure-I. ....
ONE in three road crashes involve someone who is ‘at work’. This is not just vans, trucks and buses, but includes someone driving to a meeting or a care worker travelling between clients. At worst, these crashes can lead to death and injury and at best there will be paperwork, hassle and expense to resolve the situation. The Safer Essex Roads Partnership (SERP) is offering the services of a Road Safety Specialist to assist with your policy and practice. All it will take is a small amount of your time to reduce the chances of your organisation suffering unexpected costs, staff downtime and potential legal issues. ....
Facial recognition tech, data learning for road safety being studied by Sanral hub 20 April 2021 - 10:18 By TimesLIVE Sanral is looking at data sourced from mechanical learning to activate an appropriate response to hazards that can inform road users – in real time. In view is a file image of the M2 highway bridge when it was under reconstruction. File photo. Image: Thapelo Morebudi / Sunday Times Sanral says its technical innovation hub (TIH) is probing the extent to which machine learning can be harnessed in the quest to improve road safety, reduce congestion and inform infrastructure development. Ruan van Breda, mechatronic engineer at TIH, said: “Machine learning can be used to detect and segment objects within a camera frame (each frame of a video is analysed as a still image). These objects can then be classified based on pre-trained image classifiers. ....