95 Tacoma V6 Automatic 4x4 4wd Ex Cab No Rust Clean Carfax Ready on 2040-cars
Memphis, Tennessee, United States
Vehicle Title:Clear
For Sale By:Dealer
Engine:3.4L 3378CC V6 GAS DOHC Naturally Aspirated
Body Type:Extended Cab Pickup
Fuel Type:GAS
Make: Toyota
Cab Type (For Trucks Only): Extended Cab
Model: Tacoma
Trim: DLX Extended Cab Pickup 2-Door
Transmission Description: Automatic
Drive Type: 4WD
Number of Doors: 2 doors
Mileage: 143,757
Drivetrain: 4 Wheel Drive
Sub Model: V6 Auto 4X4
Exterior Color: Green
Number of Cylinders: 6
Interior Color: Tan
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Auto Services in Tennessee
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Auto blog
Toyota will bring Lexus-based Platform 3.0 autonomous vehicle to CES
Thu, Jan 4 2018The Toyota Research Institute says it will bring its next-generation Platform 3.0 automated driving vehicle to CES next week, an autonomous test car that is notable for incorporating the sensors and cameras into the body, rather than as ungainly attachments, and with the spinning LIDAR rooftop sensor replaced by a more sleek panel of sensors. Platform 3.0 is built on a Lexus LS600hL. Toyota Research Institute says it enlisted CALTY Design Research in Ann Arbor, Mich. and engineers at Toyota's nearby North America R&D center to conceal the equipment. As a result, Platform 3.0 gets a new rooftop weather and temperature proof panel, which it says was inspired by off-road motorcycle helmets, integrated into the available space in the sunroof compartment to minimize height. It's also embellished with chrome trim along the side, where it meets the roofline, and the rear swoops down to integrate with the LS's contour lines. The team also managed to consolidate computational electronics and wiring into a small box in the trunk. Toyota says the Platform 3.0 is one of the most perceptive autonomous test vehicles on the road today, with a design makes the test vehicle easy to build at scale. It gets a Luminar LIDAR system boasting a 200-meter, 360-degree range (the previous version only tracked the forward direction), enabled by four high-res LIDAR scanning heads that help it better see dark objects. Shorter-range LIDAR sensors feature low on all four sides of the vehicle, one on each front quarter panel and on the front and rear bumpers, to detect low-level and smaller objects, like children or road debris. Production begins this spring at the Toyota Motor North America R&D headquarters at low volumes to allow for flexibility, given the rapid rate of development of Toyota's autonomous test platforms. Some will be assembled using Toyota's Guardian dual-cockpit control layout to allow for transferring control between a human test driver and the automated system while keeping the driver as a backup, while the single-cockpit, fully autonomous Chauffeur mode will be shown at CES starting Jan. 9.Related Video: This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings. Least favorite vehicles of 2017
2014 Toyota Highlander
Tue, 17 Dec 2013Midsize crossovers like the Toyota Highlander tend to play a thankless role in the life of today's modern family.
That's really too bad. With the ability to hold several hyperactive kids and tons of cargo while keeping everyone safe and comfortable in all kinds of climate conditions day in and day out, they're true heroes in the lives of hundreds of thousands of families across the country. Yet their car-apathetic owners often immediately forget about them as soon as their work is done. And nearly all midsize crossovers are thoroughly ignored by enthusiasts whose eyes begin to glaze over at first mention of the phrase "third row."
Toyota is looking to soften the blow somewhat by giving its midsize crossover, the Highlander, a big redesign for the 2014 model year. With a bold new look, updated suspension and a refreshed interior focused on comfort and convenience, Toyota aims to make the Highlander sportier to drive and more striking in appearance, because, as the marketing team explains, "families are going places and they want to get there in style."
Hello, Siri? Please don't crash the car
Tue, Oct 7 2014Hands on the wheel and eyes on the road? You could still be distracted while driving. Voice-recognition software that many automakers tout as a safer alternative to handheld devices can still divert drivers' attention, a new study published by AAA found. Researchers noted that workload ratings were the highest on their scales when participants in the study used Siri. The technology is alluring because it allows drivers to do things like change the radio station or compose a text message without removing their hands from the wheel or their gaze from the road. But many of those tasks increase a driver's cognitive workload. Depending on the situation, that can be dangerous. "It's especially problematic, because you can be distracted and not know it," J. Peter Kissinger, president of the AAA Foundation for Traffic Safety, told Autoblog. "That's the nature of mental distraction. It's hard to appreciate. ... Often, you don't know you're distracted until it's too late." There's significant variation in the results of the study. Simple, single-task car commands for operations like changing the radio station caused minimal increases in workload, about the same as listening to an audio book. Composing information using speech-to-text technology was more burdensome, and using menu-based functions caused a high level of cognitive workload. Siri-based interactions posed the highest levels of distraction, according to AAA. Researchers noted that workload ratings were the highest on their scales when participants in the study used Siri, and two of the three simulator crashes they observed during the study of 36 participants came while the subjects were interacting with Siri. The subjects weren't looking at nor making contact with their iPhones during these interactions. "Common issues involved inconsistencies in which Siri would produce different responses to seemingly identical commands," the researchers wrote. "In other circumstances, Siri required exact phrases to accomplish specific tasks and subtle deviations from that phrasing would result in a failure. ... Some participants also reported frustration with Siri's occasional sarcasm and wit." It wasn't just the complexity of the task that caused variations in level of distraction – the variations could also be dependent on the particular make and model of the car being tested.
