Iot in the System of Transportation

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There are may ways that IoT could change transportation. One key one is the elimination or reduction of contracted long-haul truck drivers in addition to taxi drivers maybe bus drivers which could result in millions of lost jobs. Another worry is the ability to hack perhaps a fleet of vehicles or certain models of cars i.e. luxury. However, on the upside statistical models seem to indicate an overall increase in driver safety, hence the government seems to be all for it, and the business behind the employment outlays are as well. The auto manufactures are behind it to push new product. The net result could be safer unemployed drivers hoping not to get hacked to a chop shop. The Beacons will be deployed on most public trains and buses making it easier to tell where they are in space and time even when they are underground. You’ll be able to pay for transportation simply and enter/exit transportation venues with less interaction. IoT has a huge potential which is still being explored. Gartner estimates 25 billion connected things by 2020 and it’s a huge market.

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The Cisco estimates the figure to be approx 50 billion. Transportation and logistics will definitely have a great positive impact. Tracking and tracing fleets, cars etc., based on the data collected, Data analyses will be done and will help in fleet management, fuel management, traffic management, predictive maintenance of vehicles, optimal routing, predicting traffic beforehand and diverting accordingly, etc. So there are various use cases similar to this, which various companies have already started using it. The adoption is speeding up gradually and will increase in the coming months. The cars will sense their environments better, this could be pulling up automatically to an ATM or drive through window or selecting the grade of fuel automatically when pulling up at the gas station. The things (cars, bikes, trains, planes, buses) will have more contextual awareness of their passengers and may adjust or personalize the experience based on the occupant.

Capacity will be obvious before the transportation arrives. No need to wait for a train that’s over-crowded, you’ll know to grab the bus. I’m some there will be a lot more in personalization and customization but you can get a sense of the power of tech when things can know more about their occupants. Evolving transportation technologies, some discussed later, will be voracious in their need for data and prodigious in their production of it. However, the big problem is that point integrations by individual agencies and one ­off development deals with their technology partners will lead to a patchwork of systems, inconsistent interfaces, and closed or proprietary data islands. Build standards upon which to base the flow of data from vehicles to infrastructure, infrastructure to vehicles, infrastructure to partners, including historical records of traffic patterns, road conditions, and accident tallies, not to mention all the real time interactions between vehicles and control systems. The second half of this is to actually build out a real time and historical data integration platform upon which all of these flows will ride.

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