. . . Summer 2000
They're also looking inside the mind behind the wheel.
By Nancy Ross-Flanigan U-M News & Information Services I'm cruising down I-94 at 70 miles an hour when a truck in the next lane suddenly cuts in front of me. I draw in my breath, and my foot hovers over the brake pedal. "It's okay! It's okay!" my passenger says. "The car will do it for you." And so it does. Without my doing a thing, the Chrysler Concorde I'm driving slows down enough to leave a safe gap between me and the truck ahead. "Whoa!" I gasp. "That was cool!" While I'm exulting, my passenger is analyzing. The car's response, the distance between it and the truck, even my hovering foot all are of interest to Zevi Bareket, a senior engineering research associate with the University of Michigan Transportation Research Institute (UMTRI). The car we're in has been outfitted with an experimental "adaptive cruise control" system, and Bareket wrote the computer programs that control the system.
Systems like these may make life a lot easier for drivers, but they're also making it a heck of a lot more challenging for engineers. When cars were simpler and stupider, engineers considered how drivers responded to certain types of instrument displays or how easily they could operate the pedals but paid little attention to the minute details of all the things people do while driving. Now, as cars take over more and more of the tasks that drivers used to do, engineers are realizing they need a deeper understanding of just what those tasks entail.
Instead of just looking under the hood, researchers are peeking inside the head of the person behind the wheel. They're asking questions such as, How does a driver decide when and how much to brake? What cues does the driver use before braking-the sight of a car looming up ahead? the feel of the road surface? a glimpse of motion off to the side? What makes a driver decide to change lanes? How much weaving from one side of a lane to the other is typical? Cruising in the Concorde with Bareket, another question occurs to me: How does a driver react to a partially automated car that takes over some of the work of driving? It takes me a while to get used to the car slowing down and speeding up by itself. But gradually, I begin to trust its judgment. And then I begin to trust it too much. Exiting at a ramp with no car ahead of me, I forget for a moment that the system sees no reason to slow down. It only knows to do that when my car gets too close to one up ahead; it can't read speed limit signs or understand that negotiating a cloverleaf at 70 miles an hour could be disastrous. This time, it's up to me to brake. Clearly, drivers' notionsand misconceptionsabout where the car's job leaves off and theirs begins are things that engineers must understand if they are to design safe and effective driver-assistance systems. The need to collect this whole range of information about how people drive led UMTRI researchers to undertake one of their most ambitious studies. Over a period of 14 months, an UMTRI team trained 108 randomly selected southeast Michigan drivers to use 10 test cars equipped with both conventional and adaptive cruise control (ACC), then turned them loose to drive the cars as their own for two to five weeks. For the first week, drivers could choose to turn conventional cruise control on or off anytime they wanted. After that, the only choice was driving with or without ACC. UMTRI researchers outfitted each of the 10 test cars with a data collection system, says Jim Sayer, an assistant research scientist with UMTRI's Human Factors Division. On each trip, onboard computers continuously collected and stored information about the car's speed and the gap between it and the vehicle in front of it. A global positioning satellite system collected data on the car's location, and a video camera mounted behind the rearview mirror recorded a view of the road ahead. A "concern" button on the dashboard was at hand for drivers to push any time they were concerned about or dissatisfied with ACC. The drivers also filled out questionnaires and participated in focus groups after returning their cars. With 108 drivers spending a total of 3,049 hours on the road and traveling 114,084 miles, the UMTRI study yielded a huge collection of data that have already provided much valuable information. It showed, for example, that drivers fall into several groups, classified by the strategies they use in traffic: In the study, a given driver usually fell into the same categoryhunter, ultraconservative, flow conformist or plannerwhether on or off ACC. But the four types used the system differently. Flow Conformists, for instance, used ACC more often and set the system to allow longer distances between their vehicle and the one ahead. Hunters chose the shortest "headway" distance the system would allow but used ACC less frequently overall than did the other groups, possibly because it wouldn't let them tailgate. Age was a factor, too. "Older people almost never used the 'close' setting, young people rarely used the 'distant' setting, and middle-aged people normally used the middle setting," says Paul Fancher, a senior research scientist with UMTRI's Engineering Research Division who directed the field test. Like me, many drivers in the UMTRI study had to be reminded not to expect more of the car than it was capable of doing. They tended to use adaptive cruise control "when the world looked benign and there were fewer possibilities," Fancher says. "But they still did the tough stuff the way they always had." Most drivers said they liked using the system, and an insight into its appeal came from data collected when they weren't using ACC. The researchers discovered that in normal driving, drivers press and release the gas pedal far more frequently than anyone would have guessed, and each use registered as a peak and valley on the UMTRI graph of their behavior. "In an hour there can be a thousand peaks and valleys," says Fancher, "You can see why this would be fatiguing, even if people aren't aware of it. With ACC they don't have to work as hard." A bound report nearly an inch thick details the project's initial findings. One UMTRI researcher already is sifting through it to try to learn whether time of day influences a person's driving speed and choice of roads. And Sayer is intrigued with the possibility of exploring relationships between personality type and driving style. When drivers enrolled in the study, they were given the Myers-Briggs Type Inventory "personality test," often used in corporate personnel decisions. It classifies people by such factors as how they express themselves, evaluate other people and act on their feelings, and is correlated with scales of aggression, self-confidence and other traits. As far as Sayer knows, no one has ever done a rigorous study relating driving style to Myers-Briggs, but there are clear reasons to take a look. "You're hearing more and more about things like road rage on the news," he observes. "You can't help but wonder if there might be some relationship there." Whether the science of driving can help soothe the savage road warrior remains to be seen. But gaining a better understanding of what all of us-hunters, flow conformists and the rest-do behind the wheel is an avenue worth exploring.
The adaptive cruise control (ACC) system used in the UMTRI study depends on two infrared sensors to detect cars up ahead. Each sensor has an emitter, which sends out a beam of infrared light energy, and a receiver, which captures light reflected back from the vehicle ahead.
The first sensor, called the sweep long-range sensor, uses a narrow infrared beam to detect objects six to 50 yards away. At its widest point, the beam covers no more than the width of one highway lane, so this sensor detects only vehicles directly ahead and doesn't detect cars in other lanes. Even so, it has to deal with some tricky situations, like keeping track of the right target when the car goes around a curve. To deal with that problem, the system has a solid-state gyro that instantaneously transmits curve-radius information to the sweep sensor, which steers its beam accordingly.
Another challenge arises when a car suddenly cuts in front of an ACC-equipped car. Because the sweep sensor's beam is so narrow, it doesn't "see" the other car until it's smack in the middle of the lane. That's where the other sensor, called the cut-in sensor, comes in. It has two wide beams that "look" into adjacent lanes, up to a distance of 30 yards ahead. And because it ignores anything that isn't moving at least 30 percent as fast as the car in which it is mounted, highway signs and parked cars on the side of the road don't confuse it.
Information from the sensors goes to the Vehicle Application Controller (VAC), the system's computing and communication center. The VAC reads the settings the driver has selected and figures out such things as how fast the car should go to maintain the proper distance from cars ahead and when the car should release the throttle or downshift to slow down. Then it communicates that information to devices that control the engine and the transmission.
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