The driverless car industry lacks a clear business model in comparison to its competitors, reports Patrick McGee for Financial Times. “Driverless does not mean humanless,” says research scientist Ashley Nunes. “Robotaxis replace one set of human costs, the human driver, with another, inefficiency.”
Wise Systems, an AI-based delivery management platform originating from MIT’s Media Lab, has applied machine learning to real-time data to better plan delivery routes and schedules for delivery drivers, reports Susan Galer for Forbes. “The system can more accurately predict service times, taking into account the time it takes to complete a stop, and factoring in the preferences of the retailer, hotel, medical institution, or other type of client,” says Allison Parker of Wise Systems.
Mashable reporter Meera Navlakha writes that researchers from the MIT AgeLab have found that when using partially automated driving systems drivers may become less attentive. The researchers found that when using the Autopilot system in Tesla vehicles, “visual behaviour amongst drivers is altered before and after Autopilot is disengaged. That means before the feature is switched on/off, drivers look less on the road and pay more attention to ‘non-driving related areas.’”
A new study by AgeLab researchers finds that drivers may become inattentive when using partially automated driving systems, reports Rebecca Bellan for TechCrunch. Bellan writes that the goal of the study is to “advocate for driver attention management systems that can give drivers feedback in real time or adapt automation functionality to suit a driver’s level of attention.”
In an article for Forbes, research scientist Bryan Reimer argues for an increased focus on advances in collaborative driving. “With automation assisting drivers to a greater degree, enhancing safety while reducing the day-to-day stresses of driving could more easily be the first of many stepping-stones on the long path to self-driving and driverless vehicles,” writes Reimer.
A working paper published by MIT’s Center for Energy and Environmental Policy Research found that 74% of rideshare drivers earn less than the minimum wage for their state. “The report also showed a huge turnover rate among drivers, with half to 90 percent quitting after a short time,” writes Carolyn Said for the San Francisco Chronicle.
Wired reporter Aarian Marshall writes that AgeLab researchers are studying how drivers interact with their phones, in an effort to reduce fatalities caused by distracted driving. Research scientist Bruce Mehler explains that researchers are, “focused on taking a really fresh look at the whole design approach to evaluating human-machine interfaces in the car."
WBUR reporter Jack Lepiarz speaks with Prof. Marta Gonzalez about her traffic study that found that if drivers switched routes during rush hour they could cut back on congestion. “We have enough space, in theory, but we are all filling up a few streets that get congested,” Gonzalez explains.
The Singapore-MIT Alliance for Research and Technology (SMART) plans to test a system that allows people to hail electric, autonomous cars, reports Kelly O’Brien for Boston.com. These “cars would be an efficient way to get people from their homes to a T stop or commuter rail station,” O'Brien explains.
Alex Davies writes for Wired about a new study by the MIT AgeLab that compared levels of distraction among drivers using Google Glass, voice-recognition technology, and a touchscreen. The study found that while all technology use led to some level of distraction, using a touchscreen was more distracting than using a voice-recognition system.
Writing for The Washington Post, Emily Badger reports on an AgeLab study that showed that using more legible typefaces in in-car media, like GPS systems, could reduce distracted driving.