What data does Uber track?

The data is stored into the database for supply and demand algorithm analysis. Driver data is used for autonomous car research, surge pricing, tracking the location of drivers, monitoring driver's speed, motion and acceleration and identifying if a driver is working for a competing cab sharing company.



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Every Uber driver knows the same information about each of their clients: their name, location, preferred car type(s), phone number(s) and interactive ratings—that is, how they've rated their past drivers, and how those drivers have rated them.

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Uber discloses user personal information to third parties to enable personalized advertising on apps, websites or other properties owned by Uber or other companies.

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Uber uses a mixture of internal and external data to estimate fares. Uber calculates fares automatically using street traffic data, GPS data and its own algorithms that make alterations based on the time of the journey. It also analyses external data like public transport routes to plan various services.

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Everyone who drives with Uber is screened before their first trip. ¹ In addition, Uber reruns these driver screenings² at least every year and uses technology to look for issues in between.

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Ongoing checks are built into the Uber platform We use technology that obtains criminal offenses from a number of data sources. ¹ If an offense involving an active driver is identified, we'll review these notifications to determine whether they're still eligible to drive with Uber.

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Does Uber Charge by Mile or Time? Among other pricing components, Uber charges a ride depending on the amount of time the rider has spent in the car and the distance covered during the journey. During the cost calculation, the time is charged per minute while the distance is charged per mile.

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U.S. Law Enforcement The ECPA prohibits Uber from disclosing certain categories of user data without legal process, such as a subpoena, court order, or search warrant. There are also certain exceptions to ECPA's prohibition on sharing user data.

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Why exactly did Uber need to know where riders went after they got out of the car? Uber said it used the data to to improve pickups, drop-offs, customer service and to enhance safety.

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They chose Python for the frontend and backend code and large-scale mathematical computations. The backend of Uber makes predictions about traffic, supply and demand, arrival times and approximate travel times.

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When you request a ride, your app sends your request to nearby drivers. After you're matched with a driver, your app shares info about the vehicle and driver headed to your pickup location.

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Yes, both Lyft and Uber drivers can install and use cameras, and many rideshare drivers rely on footage for safety or evidence in the event something goes wrong.

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On an Android phone, you can go to your settings, then App. Once you are at the screen, you can choose Uber and then Permission. Here, you can turn the location off and Uber will not be able to track you at any time. If you have an iOS phone, you will go to your Privacy screen then choose Location Services.

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Rideshare platforms like Uber and Lyft tracks some of your mileage, but not all of it — and not nearly everything that you can deduct. Uber and Lyft's driver app will record on-trip mileage, or how many miles you drive when you have a passenger in the car.

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Yes they do. If reported by a passenger Uber will address it with the offending driver and after too many reports the driver's account could be deactivated. Uber also tracks how often drivers break the speed limit and how often they might run a stop sign or travel too fast for current road conditions.

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With that said, most drivers feel the average passenger rating is about 4.6. Perhaps we will venture a guess with this scale: Around 4.70~4.90 is good. Between 4.50~4.60 is acceptable.

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With Uber's business continuing to scale at light speed, we soon had tens of petabytes of data. On a daily basis, there were tens of terabytes of new data added to our data lake, and our Big Data platform grew to over 10,000 vcores with over 100,000 running batch jobs on any given day.

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Uber's engineers primarily write in Python, Node. js, Go, and Java. They started with two main languages: Node. js for the Marketplace team, and Python for everyone else.

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