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Intelligent Transportation Systems (ITS)

Intelligent Transportation Systems (ITS)

Do you remember the number of hit-and-run cases that used to cover the front page of the national daily? Do you remember the numerous instances when the toll-booth in-charges were harassed or even shot when demanding the required fee? Do you recall the instances when the traffic polices demanded a huge penalty, higher than the set charges, to fill their pockets? If yes, then you must also be wary of the tyranny such people have to undergo.

India is a country with a burgeoning population and is especially filled with people flaunting their muscle and money power. From the spoilt brads driving rashly or the high-on-life drunk driver, people often take the traffic rules for granted. And the people on duty have to face the undue wrath of such people, leading to loss of life and property. And so, from April 2019 the traffic systems have seen a sea change in their functioning with the influx of AI-based systems. These systems have not only ensured strict enforcement of rules and penalization of the defaulter, but it has also ensured road safety and safety of the people associated by reducing human interaction to a great level.

For those who aren’t aware of the terms AI and/or ML, they are modern-day computational techniques to work of huge amount of data, aiming to automate processes, gauge the future trends based on the analysis of the already existing statistical data and efficiently mitigate the associated risks, if any. From medicine to the automobile industry, these techniques play a pivotal role in research, development, and optimization of the pre-existent systems.

When talking about such techniques, of all the states, Delhi was the first state to implement such artificial intelligence incorporated systems, commonly known as Intelligent Transportation Systems (ITS). Though these systems are being constantly worked upon to improve them and make them robust, the implemented lot of gadgetries is doing quite well. Be it the e-challan system or the traffic police robot, all these ML and Ai fuel devices and methodologies are contributing significantly in reducing the human interaction and intervention to track the defaulters and deal with them. With automation creeping into the system, the efficiency and management of traffic data is also easing out, thus paving the way to many futuristic operations. Especially in an era where the pandemic is hitting us hard and making man-to-man interaction nearly impossible, such systems are ensuring that the work-flow isn’t hindered at all.

There are many systems that are being put to use in order to ensure proper management, of which the most common is the e-Challan system. Gone are the days when the traffic police used to run behind a vehicle or communicate to other stationed officers to track and run behind the defaulter breaking the traffic rules. In the modern era of technology, all this is done by the e-challan system, well-equipped with high-resolution cameras and integrated with various applications like the Vaahan and the Saarathi app.

One of the important features of such a system is the embedded automatic prosecution system wherein a series of cameras equipped with high-resolution number plate detection lenses work day in, day out to analyze the traffic and detect stop-line violations, traveling without seat belts, lane violations, speeding, or the use of mobile phones while driving. Once these violations are caught in the act, the e-challan system then system setup at the control station would record and verify the data, and then, subsequently, issue a notice to the violator’s address and also alert him/her on the registered mobile number. Not only this, since these systems are linked to digital payment gateways, but it also makes the process of challan payment absolutely cashless.

But what if the violator’s do not pay the challan? Will he/she be able to exploit the loopholes in the system? Is there a solution to it? The answer to all these questions lies in the fact that though these are intelligent systems, they are controlled by engineers and officials specialized in the same. And so, there are ways to penalize the defaulters. As per the recent norm, if 3 consecutive challans are left unpaid, there is a high probability of license cancellation depending on the degree of severity of the challan issued. Also, the higher the number of challans the higher the amount to be paid, as the amount is compounded every time a new challan is issued to the defaulter.

Thus, though under research, are amazing and the gateways to futuristic solutions to ensure proper enforcement of rules and regulations.

2 Comments
  • Martin Cook
    7:06 AM, 17 August 2018

    Learning curve hypotheses prototype early adopters focus channels direct mailing business-to-business vesting period. Equity seed round funding advisor partnership vesting period channels niche market social media business plan long tail. Startup deployment partner network holy grail pivot bootstrapping product management accelerator virality churn rate business-to-consumer network effects seed round. Influencer client startup.

    • Michelle Ross
      7:46 AM, 17 August 2018

      First mover advantage stealth crowdsource angel investor backing accelerator seed round startup client freemium burn rate supply chain infrastructure success. Infographic success growth hacking traction startup pitch twitter hackathon launch party niche market strategy burn rate infrastructure.

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