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IIT researchers working on first-of-its kind geography based smart speed warning system, Auto News, ET Auto

IIT researchers working on first-of-its kind geography based smart speed warning system, Auto News, ET Auto

by admin
November 15, 2021
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IITs are working on development of a first-of-its kind "smart speed warning system" for vehicles.
IITs are engaged on improvement of a first-of-its variety “good velocity warning system” for autos.

Researchers at completely different Indian Institutes of Know-how (IITs) are engaged on improvement of a first-of-its variety “good velocity warning system” for autos which is able to alert the driving force on the idea of highway infrastructure and geographical location to keep away from over-speeding associated crashes.

In line with statistics obtainable with the Ministry of Street Transport and Highways, about 70 per cent of highway fatalities in India happen as a result of over-speeding.

To minimise such fatalities, the federal government had mandated that each one new vehicles bought from July 1, 2019, ought to embrace a velocity governor gadget that may generate intermittent warning beeps for above 80 kmph and the fixed beep for above 120 kmph for drivers. To additional cut back injury to lives, the effective for rushing was elevated by ten instances below the brand new Motor Automobiles Act of 2019.

Nonetheless, the researchers at IIT Guwahati and Bombay consider the present velocity governing gadget is a “one dimension matches all” answer and doesn’t have a lot intelligence and the identical system can not successfully work whereas driving in hilly terrains, plains or desert areas.

“Our research revealed the secure velocity for a automobile can considerably differ with modifications in highway geometry like on sharp or blind curves or hairpin bends. Subsequently, there’s a must develop a sensible velocity warning system incorporating a dynamic and adaptable velocity threshold primarily based on upcoming highway infrastructure to keep away from overspeeding-related crashes,” Akhilesh Kumar Maurya, Civil Engineering Professor at IIT Guwahati, instructed PTI.

“Conventional warning techniques are primarily based on the fastened velocity threshold, nevertheless, the idea of a sensible warning system relies on upcoming highway infrastructure and automobile location. On approaching curves alongside a roadway, together with blind curves or hairpin bends, autos outfitted with such a system will warn drivers upfront, which is able to enable drivers to undertake corrective actions and keep away from accidents,” he added.

The researchers, who’re in technique of submitting a patent for the system, declare that such a system just isn’t obtainable anyplace throughout the globe.

In line with the crew, algorithm for the good velocity warning system was developed primarily based on the sector information collected from a forty five km stretch of four-lane freeway (NH-40) between Jorabat in Assam and Nongpoh in Meghalaya, consisting of 285 horizontal curves. The research part coated a broader vary of highway geometry (curve radius ranges from 20-800m, curve size varies from 30-244 m and gradient different from seven per cent to 9 per cent.

“We’re within the technique of analysing information of two-lane undivided freeway NH-61 between Mumbai and Malshej Ghat in Maharashtra. Now we have now accomplished our pilot research alongside four-lane divided freeway, NH-160 between Thane and Nashik (Maharashtra) and now planning to gather detailed information very quickly,” Maurya mentioned.

The crew plans to conduct related pilot research at completely different highways throughout the nation to get an concept of various geographical areas and current the mannequin in the end to the Nationwide Freeway Authority of India (NHAI).

In the course of the pilot research of velocity prediction mannequin improvement, the researchers got here up with automobile velocity mannequin and HCV and LCV velocity mannequin.

In line with Avijit Maji, Affiliate Professor at IIT Bombay’s Civil Engineering division, researchers have used working velocity of autos as one of many surrogate measures for security analysis of horizontal curves

“Now, the eighty fifth percentile velocity of autos in free-flow situation is broadly thought of because the working velocity. Nonetheless, the geometric options of highways are designed on the idea of design velocity. Some research identified that the design velocity could be represented by ninety fifth to 98th percentile velocity of autos in free-flow situation,” he described in a paper printed within the American Society of Civil Engineers (ASCE) journal.

“Drivers in growing nations are usually not effectively disciplined and sometimes drive solely primarily based on their notion of the highway geometry. Therefore, the 98th percentile automobile velocity might be helpful in evaluating security of a freeway part in such nation. Now, the obtainable automobile velocity prediction fashions differ broadly. Variations in driver behaviour and freeway geometry could be the explanations for these variations,” he added.

One other analysis scholar from the crew asserted that research present that the decision-making course of and driver efficiency enormously depends upon situational consciousness.

“Drivers intend to function autos at secure velocity primarily based on the roadway geometric options. These options are characterised by gradient, horizontal curvature, size of curves and tangent sections, superelevation, and so forth. Perceptive and constant geometric traits of the roadway can ease the choice making burden and thus minimise driver error.

“To date, majority of the research on geometric design consistency are performed on remoted curve sections in plain terrain for site visitors with sturdy lane self-discipline. The impact of gradient just isn’t important in these terrains. Additional, the driving behaviour of site visitors with weak lane self-discipline just isn’t represented in these research,” he described.

Additionally Learn:

Researchers at AAA, a federation of North American motor golf equipment, discovered that autos’ auto emergency braking techniques, in a number of situations throughout simulated rainfall, not acknowledged stopped autos forward and that autos’ lane-keeping techniques carried out significantly worse.

As a part of this undertaking, the companions will likely be leveraging Synthetic Intelligence (AI) know-how to scale back highway accident incidents by round 50% in Nagpur metropolis within the subsequent two years and create a mannequin that may be scaled up and replicated in the complete nation.





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