Google Maps to now predict crowd situation on buses, trains

Agencies
June 28, 2019

Adding to the plethora of new features that Google has been introducing to Maps, the search-engine giant would now predict transit crowdedness of buses and trains for passengers.

The new feature has already been made available in around 200 cities around the globe, The Verge reported on Thursday.

The search-engine giant is basing these details on past rides and for months and has been asking some people who use Maps to provide additional details about the level of crowdedness of their transit trips.

After completing their trips, riders were given four options: many empty seats, few empty seats, standing room only or cramped standing room only.

Now that the company has collected enough data, it has begun offering predictions to customers who use Maps to plan their daily commute.

In addition, Maps is also launching live traffic delays for buses in places where commuters do not already have real-time information direct from local transit agencies.

According to the report, users would now be able to see if their busses are running late, how long would the delay last and other more accurate travel times based on live traffic conditions along the route.

These new features come on top of a range of updates rolled out to Maps in the past few months, including Incognito mode, real-time speeds, parking locations and traffic jam crowd-sourcing.

Earlier this week, Google also rolled out the "Stay Safer" feature in India that would alert Android users travelling in public vehicles if their drivers deviate more than 0.5 km from the suggested route on Maps.

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Agencies
February 29,2020

Ahmedabad, Feb 29: The presence of two feral pigeons onboard a GoAir flight at the airport in Ahmedabad in Gujarat created a flutter among the amused passengers, even though the avian surprise did not lead to any untoward incident or delay in the flight.

The incident took place on Friday when the passengers were boarding the Ahmedabad-Jaipur flight.

"Two pigeons had found their way inside the flight G8 702 while the passengers were boarding," an airline statement said on Saturday.

"The crew immediately shooed away the birds. The flight took off at its scheduled time at 5 p.m.," it added.

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Agencies
July 19,2020

New Delhi, Jul 19: Three of the 10 most valued companies added a total of Rs 98,622.89 crore to their market valuation last week, led by stellar gains in IT major Infosys.

Seven companies from the coveted list witnessed a decline in their market valuation last week, but their cumulative loss of Rs 37,701.1 crore was less than the total gain made by three firms -- Reliance Industries Limited, Hindustan Unilever Limited and Infosys.

The market capitalisation of Infosys zoomed Rs 52,046.87 crore to Rs 3,85,027.58 crore. Shares of Infosys had rallied over 9 per cent on Thursday after the company posted a stronger-than-expected 12.4 per cent rise in the first quarter consolidated net profit.

Hindustan Unilever Limited added Rs 25,751.07 crore in its market valuation which stood at Rs 5,48,232.26 crore at close on Friday. Reliance Industries' m-cap jumped Rs 20,824.95 crore to Rs 12,11,682.08 crore.

In contrast, HDFC's valuation plunged Rs 13,920.21 crore to Rs 3,13,269.70 crore and that of Tata Consultancy Services (TCS) declined Rs 7,617.34 crore to Rs 8,26,031.21 crore.

The valuation of ICICI Bank tumbled Rs 4,205.71 crore to Rs 2,29,156.24 crore and that of Kotak Mahindra Bank by Rs 4,175.28 crore to Rs 2,62,864.37 crore.

Bharti Airtel's m-cap dipped Rs 4,009.83 crore to Rs 3,09,521.05 crore and HDFC Bank's by Rs 3,403.97 crore to Rs 6,03,463.97 crore.

The valuation of ITC declined by Rs 368.76 crore to Rs 2,38,469.29 crore.

In the ranking of top-10 firms, RIL was at the number one rank followed by TCS, HDFC Bank, HUL, Infosys, HDFC, Bharti Airtel, Kotak Mahindra Bank, ITC and ICICI Bank.

During the last week, the 30-share BSE index advanced 425.81 points or 1.16 per cent.

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Agencies
May 14,2020

Social media platform WhatsApp assured the Supreme Court on Wednesday that it will not roll out its payment services without complying with all payment regulations and norms in the country.

A bench headed by Chief Justice S.A. Bobde and comprising Justices Indu Malhotra and Hrishikesh Roy took up the matter through video conferencing. Senior advocate Kapil Sibal, representing the social media platform, said "WhatsApp Inc makes a statement on behalf of his client that they will not go ahead with the payments' scheme without complying with all the regulations in force."

The statement was made during the hearing of a petition seeking a ban on payment through WhatsApp, as it does not conform to the data localization norms. The top court took the assurance made by WhatsApp on record.

WhatsApp made the statement during the hearing of a plea seeking a ban on its payment service, for not being in line with data localization norms.

In 2018, WhatsApp was granted a beta licence to launch its payment service, but a dedicated and separate app is yet to be launched. A petition was moved in the apex court that WhatsApp's existing model for its payments service should be declared inconsistent with the Unified Payment Interface (UPI) Scheme, as a separate dedicated app has not been offered by the company.

The petitioner NGO, Good Governance Chambers, argued that the National Payments Corporation of India (NPCI) and the Reserve Bank of India (RBI) must change its model on the lines of the UPI payment scheme, and its operations may be suspended until these conditions are met.

The apex court today asked the Centre, Facebook and WhatsApp to file their replies within three weeks and it will take up the matter thereafter. The court noted that the government may process the applications filed by WhatsApp in accordance with the law and there is no stay on the same. Facebook was represented by senior advocate Arvind Datar.

The petitioner argued that lapses have been found in relation to WhatsApp's claims of having a secure and safe technological interface for securing sensitive user data.

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