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Big Data's Role with Connected Cars and Our Environment

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Big Data's Role with Connected Cars and Our Environment

There's a definite connection between connected cars and the environment. And guess what? Big Data has a much bigger role than you may think.

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The automation of the automobile has reintroduced the car as a primary means of transportation. Today's vehicles are becoming more equipped toward the goal of driverless cars. With the introduction of features such as in-car wireless networks, computer technology, and sensors to assist the driver, a modern car is fast becoming integrated into the network where big data is gathered. Driverless cars are of interest to many who cannot or do not drive, such as those with disabilities, the elderly, and other populations who may currently be riding a bus or train as their main transportation method. Luckily for our environment, auto manufacturers and scientists are now studying how automated, or even autonomous vehicles may affect the environment.

Driverless cars are faced with three main challenges if the automakers wish to lower greenhouse gas emissions. First, how many miles the vehicle travels. Second, if more cars on the road will equal greater congestion (and thus idle running) Third, the fuel efficiency of driverless vehicles and how much fuel they consume. There are a number of ways which these conditions may be alleviated by autonomous automobile technology.

As a part of the Internet of Things, big data collected on the use of driverless cars can provide valuable insights into the environmental impact. For instance, it will be much easier to learn which models and makes of cars are the most fuel-efficient. Similarly, fuel consumed and distance driven can be quickly collated to provide a complete profile of the most environmentally friendly options for drivers and their vehicles. The latest models of the Toyota Highlander, for instance, contain computerized components which respond to a variety of situations with the optimal use of braking and fuel in order to keep the vehicle driving smoothly. A smoothly driving vehicle uses less fuel and thus creates fewer emissions.

Partnerships with ride-sharing companies will also allow those who do not wish to own a car to be able to use the services of one. Interconnect autonomous vehicles will have the ability to schedule rides and make the most efficient use of their passengers' time.

Having autonomous cars on the road may prove to be a benefit for commuters. The time spent in a vehicle can be productive if you do not have to drive. This enhances how much is done during a work day and relieves burnout on the job. Some commuters may carpool, knowing that they do not have to drive any day of the week but merely provide the vehicle or chip in for gas each workday. Shared vehicles could be networked in a way to maximize the efficiency of their stops based on factors such as traffic and time of day - before you even get into the car at the beginning or end of the day. With the technology at hand, avoiding congested traffic areas automatically could be an effective way of reducing overall greenhouse gas emissions. Perhaps weather forecasts and reports could influence routes taken or avoided as well. If your vehicle has the knowledge that certain areas are slippery when wet or flood when it is raining, it could avoid those areas altogether.

By having connected cars, big data can enhance services available in a driverless car in ways that would not be possible with traditional vehicles. Teaching videos could be played for commuting students, seniors could engage in video chats with family members, children and adults alike might enjoy gaming systems linked with other cars in a multi-player universe. It is an exciting time for everyone as the driverless car grows closer to reality, especially when automakers are considering the environmental impact. This means that you will be able to enjoy your futuristic car without so many of the pollution causing components of the past.

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big data ,connected cars ,environment

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