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IoT And Predictive Analysis’ Impact On Indian Transport Industry

The future of transportation in India, if it continues along the technologically-enlightened path that it has embarked upon, could be smoother and less chaotic in the near future.

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The 33 Red Buses of Glacier National Park, nicknamed “The Rubies of the Rockies,” on average, transport 60,000 tourist each summer.
The 33 Red Buses of Glacier National Park, nicknamed “The Rubies of the Rockies,” on average, transport 60,000 tourist each summer.
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A report in the Wall Street Journal predicts that India’s combined workforce will increase by 12 million each month, making it the youngest working population in the world by 2022.

Sixty-five per cent of India’s population already falls in the working-age bracket, which means that a considerably large group of commuters from across the country travel long distances using personal vehicles and public transport. In doing so, they often battle with ill-maintained roads and insurmountably heavy traffic. A more specific viewpoint, focusing on commuters using company-sponsored cab services, reveals that these professionals spend hours traveling to and from work, with ill-planned routes and delayed pick-ups hampering their health and workplace productivity.

Therefore, several path-breaking companies are leveraging the potential of modern-day technologies to bridge the existing gaps in India’s transport sector.

Transport
Indian Railways is one of the most important and controversial transport in India. Wikimedia Commons

This is where the role of Internet of Things (IoT) and predictive analytics in ride-sharing comes in. The objective of every ride-sharing start-up is to find a solution to optimize travel. They use IoT and Artificial Intelligence (AI) to identify demand and supply patterns for transportation within the city, based on historical data. The final objective of commute-focused start-ups is to understand how the traffic from commercial hubs interacts with the rest of the city and identify a way to alleviate the hassle of ride-sharing within that context.

The Indian transportation industry can leverage predictive analysis and data mining to draw insights and patterns from the vast pool of big data pertaining to transport and traffic conditions in particular areas. Using these patterns, systems powered by AI can plot the fastest routes for commuters, factoring in multiple pick-ups and drops on the way. Such systems rely upon AI to create routes for corporate commutes and club the employees who plan to commute at similar times, thus ensuring that they take the shortest route possible.

Predictive analysis tools can also alert drivers and passengers about impending bottlenecks and congestion. Such systems will reduce travel time for employees, while helping corporates save the large sums of money they spend on organising company-sponsored commutes.

Transport
The objective of every ride-sharing start-up is to find a solution to optimize travel. They use IoT and Artificial Intelligence (AI) to identify demand and supply patterns for transportation within the city.

Technological intervention can also bring about safety and security as far as public transport and employee commute services are concerned.

Corporates with 24-hour rotational shifts are obliged to provide cab services to their employees to ensure their safety. Connected services such as transport automation systems, driven by AI and IoT, can ensure that employees travel safely by collecting and storing relevant data about drivers, including their background verification information and prior criminal records. Additionally, through robust mobile applications, passengers can provide feedback pertaining to their experience with their drivers at the end of each trip. Advanced systems that use mobile phone sensors can also identify instances of rash driving.

Beyond the workforce commute, predictive analysis can be applied to a holistic urban mobility scenario. It can improve public transport by forecasting weather conditions, determining arrival times of buses, and predicting the number of drivers travelling each day.

Transport
Hand pulled ricksaw and tram in Kolkata. wikimedia

Further, advanced analytics will be able to provide data regarding the impact of road maintenance, signal failures, accidents, and vehicle breakdowns on the overall traffic conditions, in addition to circumnavigating mobility bottlenecks by mapping the shortest routes in real-time. This will help people in reaching their destinations as quickly as possible.

Also Read: Indian Catholic Nuns Call Out For Justice in Kerala

The future of transportation in India, if it continues along the technologically-enlightened path that it has embarked upon, could be smoother and less chaotic in the near future. On the back of rapid technological advancement, the transport sector has the potential to transform itself into a well-oiled machine. Commuters and travelers are advised to just sit back, fasten their seat belts, and enjoy the ride. (IANS)

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Robots May Be Able to Perform C-Sections Soon

These big, set-piece operations will become less common as we are able to intervene earlier and use more moderate interventions

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C-section, Robots
A newborn, one of 12 babies born by C-section, cries inside an incubator at the Bunda Hospital in Jakarta, Indonesia, Dec. 12, 2012. VOA

Robotics are expected to become so sophisticated, hospitals may not need surgeons. Controlled by healthcare assistants, the machines will soon be delivering babies by carrying out C-sections as well as other surgeries, say experts.

The predictions are based on the report by the “Commission on the Future of Surgery” set up by the Royal College of Surgeons in 2017, the Daily Mail reported.

According to the report, the robots controlled by healthcare assistants such as technicians are expected to conduct vaginal surgeries and operations on the bowel, heart and lungs.

This will help advance diagnoses of illnesses like cancer before they destroy organs and, as a result, operations will be smaller in scale and less traumatic.

Robot, Reading Companion
FILE – A visitor shakes hands with a humanoid robot at 2018 China International Robot Show in Shanghai (VOA)

Even healthcare assistants — who do not need any formal qualifications to get a job — could one day be trained to perform C-sections with the robots, The Telegraph reported.

Specialists and surgeons will remain in charge of operations but may not always need to be in the room.

“This is always going to be under the watchful eye and careful supervision of a surgeon,” Richard Kerr, neurosurgeon at the Oxford University and Chair of the commission, was quoted as saying.

“These are highly qualified healthcare professionals and they will be trained in a specific aspect of that procedure.

“The changes are expected to affect every type of operation. This will be a watershed moment in surgery,” Kerr said.

While some applications of robots and DNA-based medicines are expected to happen sooner than others, those with healthcare assistant-led C-sections is possible within five years, the report said.

C-section, Robots
These are highly qualified healthcare professionals and they will be trained in a specific aspect of that procedure. Flickr

However, the experts warn that the use of robots in surgery could be controversial. This is in light of an investigation which revealed that a 69-year-old man in Newcastle died when a robot was used to carry out his heart surgery in 2015.

The commission’s report also claims that major cancer operations could become a thing of past because screening DNA will pick up diseases earlier, before they ravage the body.

Also Read: AI  to Help the Students of Japan in Enhancing English Speaking Skills

Similarly, people with severe forms of arthritis could be identified early on and faster treatment might reduce the need for major hip and knee replacement ops.

“These big, set-piece operations will become less common as we are able to intervene earlier and use more moderate interventions,” said Professor Dion Mortonm, a member of the commission. (IANS)