In a recent presentation at the Podcar City 8 conference in Arlandal, Sweden, a new Chinese company called Tubenet Transit described their new PRT system, and how it could be used to accelerate eco-restoration and urban reforestation. As the name suggests, the pods run inside of a tube with guide rails above the pod, and a support surface below. The top of the tube is covered in solar panels. The bubble-shaped pod is only two meters long, with an empty weigh of 150 kg (330 pounds), and a carrying capacity of 250 kg (550 pounds), seating two adults and one child. (Remember China’s “One Child Policy”?) They described three tiers of guideways, supporting speeds of 40, 60, and 80 km/h (25, 37, and 50 mph).
Many people are understandingly reluctant to turn over control of their vehicle to an automated system. After all, machines do break down. But are our fears justified? To find out, we took a look at the National Motor Vehicle Crash Causation Survey published by the National Highway Traffic Safety Administration of the U.S. Department of Transportation (DOT HS 811 059, dated July 2008). In 5,096 of the 5,471 crashes studied, the “Critical Reason for Critical Pre-Crash Event” was “driver error”. In other words, more than 93% of the crashes were attributed to driver error. Only 130 of the crashes, or about 2%, were attributed to vehicle failure. And it is likely that most, if not all, of those failures were due to inadequate or improper maintenance. In an Automated Transit Network (ATN), system-wide maintenance can be performed on a regular schedule, keeping in-service failures to a minimum. ATN vehicles, known as pods, are actually simpler than cars – so there’s just less to go wrong. And guideway-based transit is inherently safer than free-roaming road vehicles. For these and other reasons we feel confident in predicting that Automated Transit Networks will be at least ten times safer than cars.
Public concerns about automation can be traced back to the 19th century when a steam engine could continue mindlessly chugging away long after things had gone terribly wrong. But modern automation systems have sensors and computers that continuously monitor performance, and can take corrective action faster than a human can. No one is claiming that technical malfunctions will ever be completely eliminated, but by embracing Automated Transit, we can easily prevent 9 out of 10 crashes, while simultaneously upgrading the quality of life in our cities. And all this can be done today. What are we waiting for?
With recent well-publicized developments like Siri, Watson (the computer that can win at Jeopardy!), and the Google Car, many people may have gotten the impression that there has been some sort of breakthrough in Artificial Intelligence (AI). We still have much to learn about how people are able to do what they do, but we know enough to know that computers don’t work the same way we do.
The dream of the self-driving car now seems within reach. But the implications of this new development go beyond simply being able to take your eyes off the road. Once you have a car that can drive itself, what will that mean? Continue reading
Cities everywhere suffer from traffic congestion. One way to combat this problem has been to find ways to increase the number of people in each vehicle. According to the U.S. Department of Energy the average number of people in a car is 1.59. Actually it’s worse than that because many of the people you see in cars are not trying to go anywhere themselves, they’re just drivers. They may be chauffeuring the kids to the soccer game, or taking grandma to the doctor, or picking up the spouse at the airport. Designers of Automated Transit Networks (ATNs) expect to see more actual travelers per vehicle than is typical of cars. Why? The easiest way to explain that is with an example. Continue reading