How smart cars make driving easier and greener

A new generation of smarter car technologies helps drivers and cars manage their journeys more efficiently, avoiding deadlock, ruin and improvements at 5 p.m. motor anger
Nevada lawmakers took a long-term step a few weeks ago by adopting a measure that ordered new regulations for cars without drivers. Many vehicles are already involved in previously man-made activities, such as parking and slip control, and will soon be unable to navigate, make decisions and drive independently.
But in a sense, the world of autonomous cars is already busy. By using relatively simple software and adaptations to existing hardware, leading car manufacturers in the US and Europe are making cars smarter and greener in a way that has nothing to do with hybrid engines or fuel replacement.
Connected to each other and to the cloud, cars can make their own decisions. The future of driving will therefore largely be left to humans.
Algorithms and analyzes predict the behavior of the driver and predict future commuters from seconds to hours. Sedans equipped with radars will sense their environment, while road trains and automobile networks reduce congestion, prevent fatal accidents and increase fuel consumption.
"Many of the interactions we have today are designed to help the driver do his job, but we are trying to make the car smarter," said Ryan McGee, a Ford research and innovation engineer at Dearborn. Michigan "If you take a car and connect to the cloud, there are many options." Here are some examples.
Your car will preach where you are driving
If you do not use public transport, your daily commute or school is normal: go home in the morning, to the bar, to the office; leave the office in the evening, maybe stop in the supermarkets and go home. Ford wants his cars to benefit from your predictability and guess where you are going when you turn it on.
The researchers add the driving history to a Google software service called Forecast API, which uses an automatic learning algorithm to generate the expected behavior, in this case the habits of a certain driver.
The question we ask the model is: "Where is the next person going?" "McGee said, working on the model." The model looks like Wednesday at 5 p.m. It is therefore very likely that you will come home to send this data to the car. "
The current system connects to the internet and records the position of the car at what time and on what day. The algorithm calculates a list of likely journeys for that place and time. Depending on the travel options, the car can use a battery instead of gasoline, which is useful for plug-in hybrid cars, energy consumption, McGee explained. Ford tested it on a hybrid SUV Escape.
In the future, governments can impose low-emission areas near a school or park or install special battery tracks. McGee is used to taking his son to football training when he comes home from work, he said. If your car knows its habits and knows that there is a low-emission area in the area, it will save some battery for that part of the day.
"I'm going to save enough energy, so if I'm in that area, I can drive electricity," he said. "If we know more about how people will use the car, we can optimize their performance."
But all routines can be interrupted - what happens if you want a burrito on Wednesday but a cheeseburger on Thursday? The car will have no idea where to go for lunch. "Due to the random and unstable nature of the drivers, they can add and repair the system if they are installed on consumer vehicles," McGee said.
Your car will predict which traffic it will do
Once a car knows its driving behavior, it can integrate other cloud data to provide better informed suggestions. If meteorologists have sufficient data

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