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Let’s Consider How Self-Driving Cars Impact The Future Of Mass Transit

Lance Eliot
8 min readJun 26, 2019

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Dr. Lance Eliot, AI Insider

Here in Southern California, a key local transit entity is called MTA (Metropolitan Transit Authority) and provides mass transit options for commuters from throughout Los Angeles county. You’ve got light rail, heavy rail, buses, and the like.

Of the nearly one hundred MTA stations used by commuters to get access into the transit system, it turns out that only a few of those stations directly intersect with a second line. This means that you need to hop onto one train, hop off at another station, wait for the next right train, hop on, and maybe then arrive at the final station you were intending to reach. It seems likely you’ll need to make at least two or three such stops and switches, in reality, due to the lack of stations being interconnected with multiple lines.

Many people perceive that it is too confusing to have to make so many switches. They perceive that it uses up too much time, having to make the switches and sit around for the needed waiting times for the next right train.

The less riders on the mass transit system, the less valuable it is having the mass transit system.

It also means that the lack of ridership implies there’s less people taken out of the conventional car traffic pool.

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Lance Eliot
Lance Eliot

Written by Lance Eliot

Dr. Lance B. Eliot is a renowned global expert on AI, successful startup founder, global CIO/CTO, , was a top exec at a major Venture Capital (VC) firm.

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