Find or Sell Used Cars, Trucks, and SUVs in USA

1979 Ford Thunderbird Base Hardtop 2-door 5.0l on 2040-cars

US $2,500.00
Year:1979 Mileage:90334 Color: Gray /
 Red
Location:

Mayer, Arizona, United States

Mayer, Arizona, United States
Advertising:
Transmission:Automatic
Body Type:Hardtop
Engine:5.0L 302Cu. In. V8 GAS OHV Naturally Aspirated
Vehicle Title:Clear
Fuel Type:GAS
For Sale By:Private Seller
Year: 1979
Interior Color: Red
Make: Ford
Number of Cylinders: 8
Model: Thunderbird
Trim: Base Hardtop 2-Door
Warranty: Vehicle does NOT have an existing warranty
Drive Type: RWD
Mileage: 90,334
Exterior Color: Gray
Condition: Used: A vehicle is considered used if it has been registered and issued a title. Used vehicles have had at least one previous owner. The condition of the exterior, interior and engine can vary depending on the vehicle's history. See the seller's listing for full details and description of any imperfections. ... 

1979 Ford Thunderbird with 302-2v V8 140hp 2 door hardtop. New brake master cylinder, new radiator and good tires. This car runs good with no smoking out the exhaust but could use a tune-up. 90,334 original miles. VIN # 9J87F216114. Car has light surface rust on passenger door. This car can be used for a daily driver or a project car. Interior is red and has some wear but new floor mats will cover most of the wear. This is a very smooooooth ride.

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Auto blog

Ford partnering with MIT, Stanford on autonomous vehicle research

Fri, 24 Jan 2014

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.

Autoblog Podcast #327

Tue, 02 Apr 2013

New York Auto Show, Jim Farley interview, 2014 Chevrolet Silverado fuel economy, Ford fuel economy app challenge
Episode #327 of the Autoblog Podcast is here, and this week, Dan Roth, Zach Bowman and Jeff Ross talk about this year's New York Auto Show, Chevrolet's latest assault in the pickup truck fuel economy battle, and Ford's reward for developing a better fuel economy app. Dan also has an interview with Ford's Jim Farley about the future of Lincoln. We wrap with your questions and emails, and for those of you who hung with us live on our UStream channel, thanks for taking the time. Keep reading for our Q&A module for you to scroll through and follow along, too. Thanks for listening!
Autoblog Podcast #327:

Ford looks to space robots to improve car-to-car communications [w/video]

Wed, 21 Aug 2013

Ford has partnered with St. Petersburg Polytechnic University for three years to research various kinds of connected vehicle communications. The university tie-up is part of its study of space robots, NASA systems created to enable space-to-Earth communication, and the university's own development of systems that enable communication between the International Space State and Earth.
The objective is for Ford to engineer layers of robust networks and redundancy systems that will allow your car to speak to other cars, to emergency vehicles, to infrastructure like traffic lights and buildings, and to the cloud. Benefits would come in just about every area of transit, from avoiding accidents, to getting medical workers to an accident more quickly, to improving the flow of traffic during rush hour.
Check out the press release below for details on what Ford wants to learn from the JUSTIN Humanoid and NASA Robonaut R2, and a video of technical leader Oleg Gusikhin discussing his interest in the project.