What is interesting, and the focus of this installment, is the glaring disparity between the magnitude of information available about a vehicle or driver's performance and the general disinterest in examining it. This disparity is not a technological problem. It is largely an institutional and attitudinal problem. Or one might characterize it as a cultural problem. Or a values problem in a money-oriented society. Nevertheless, it raises an important point about driverless vehicles: While a vehicle's brain may contribute to and/or improve safety (fewer accidents and incidents) and performance (e.g., better mileage, less pollution), this brain's extraordinary analytical capabilities may be pointless because no non-robot is likely to ever examine the data.
The previous six National Bus Trader articles on this subject stabbed at some highlights and low-lights within the extraordinary spectrum of socio-economic, institutional and other issues encompassed by our transition from humanoid-driven to robotic vehicles. At this point, I thought it might be helpful to take a quick glance at some of the hardware that serves as the robots' mechanical fixtures, apart from the electronics and the digitalia: Cameras and sensors. These components were employed in "transitional" or "steppingstone" efforts along the path to truly driverless vehicles. So I feel it is worth a look at how these technologies were used and abused at this earlier stage of HAV (highly-automated vehicle) development. Should the reader wish to view the math in the robots' brains, I recommend Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman. The bible for artificial intelligence. Way over my head. If also over yours, no apologies necessary.
When an asteroid strikes a planet, things tend to change quickly. Most other changes occur gradually, even while a small handful are occasionally more significant. These latter changes are sometimes referred to as "paradigm shifts," largely because they affect so many things around them, and cause such dramatic changes in the things they affect directly.
Industry insiders, including government officials, cite an interesting analogy as a justification for their initial jump into the regulation of driverless vehicles that was first promulgated on September 20, 2016. The point made is that, had current regulations been in effect when the "Model T" hit the streets, we would have experienced far fewer collisions.
As Part 2 of this series hopefully demonstrated there is much to learn about what lies ahead in the motorcoach world from the experiences of modes deploying smaller vehicles. This installment provides a preview of the likely emergence of "highly-automated vehicles," or HAVs, in the world of large vehicles: School bus, transit and motorcoach service.
In a monthly magazine, it is almost impossible to keep up changes that are racing along This past September, 2015, small fleets of Volvos and Ford Fusions were released into the general traffic stream in Pittsburgh, and driverless Anheuser-Busch trucks began delivering Budweiser and Bud Light. The Netherlands and Finland have been deploying driverless motorcoaches for months now. And we already have a few similar services operating in the U.S.
In Part 1 of this series, I identified the enormous range of benefits that would likely accompany even the first wave of autonomous buses, coaches, trucks and delivery vehicles. And I identified a handful of dysfunctional consequences, the most serious of which is a Tsunami of driver unemployment. Lest anyone doubt these inevitabilities, he or she might consider consulting the seven-installment series in National Bus Trader titled "Bad Regulations and Worse Responses" (June 2014 through January 2015).
National Bus Trader has always been a leader in its selection and treatment of topics related to technology and innovation. So the decision to craft a lengthy article about NBT Editor Larry Plachno's experiences "behind-the-wheel" of a motorcoach-of-the-future at a "ZF Ride & Drive" event in Aachen, Germany (NBT, September, 2016) should not have been a surprise. Nor should it come as a surprise that safety, liability and other issues related to this technology will be explored as well.
The notion of "screening" driver-candidates for Sleep Apnea screening is not merely unsupportable, it is a delusion. In 2011, 517 truck drivers in Australia were tested for Obstructive Sleep Apnea ("Assessing Sleepiness and Sleep Disorder in Truck Drivers" in SLEEP, 2011). According to an anonymous self-evaluation questionnaire (a "multivariable apnea prediction index, based on self-report measures"), only 12% felt they had it, while roughly 4.4% had tested positive for it. Yet when all of them were tested, 41% more of them had this condition. The testing also found that a full 50% of the study participants were obese, and 49% of them smoked cigarettes. Neither of these parameters are included among the handful of criteria currently employed by either the Federal Motor Carrier Safety Administration's or Federal Railway Administration's "recommended" screening exercise -- although, In fairness, the size-17 male neck (or size 16 female neck) serves as a proxy for obesity. At the same time, as noted below, it also captures plenty of "false positives."
Like most fields, public transportation is swollen with studies, both in the U.S. and abroad. Yet some of the most fascinating things seem to be never studied, or rarely studied.