The Smart Cities group will keep refining and test driving as many versions as it takes to get the design just right. As Chin puts it, “If a cell phone dies, no one is going to die. But there is a degree of complexity in building a car that doesn’t exist with most other lab projects. There are many moving parts that have to go together. We have to make sure that the controls work, and we have to make sure that the safety systems work. Think about it. The car as we know it is the product of a hundred years of evolution, and it’s a very difficult task to reinvent it with just a small team of MIT students, no matter how smart they are.”
People often use the terms invention and innovation interchangeably, but they are actually quite different. Invention is the art of coming up with and creating revolutionary new ideas and technologies, whereas innovation involves figuring out how to actually execute and implement them. In other words, the wheel robot and the CityCar are brilliant inventions, but true innovation would mean taking those inventions out of the lab, and putting them to use in the real world. Moreover, while inventions can be born from the imagination and hand of a single individual, and many are, true innovation on the scale needed to solve today’s complex, interconnected, and global problems requires a larger collaborative effort among people and organizations alike. In his book Reinventing the Automobile, Professor William Mitchell referred to these kinds of problems as “wicked problems.” According to Mitchell, these are problems that “don’t seem to have a clear answer, that will require consensus building, with solutions that may be in conflict with one or two key constituent groups, and will require the cooperation of large slow moving organizations.”
When they embarked on the CityCar project, Mitchell and his Smart Cities students were determined to tackle the “wicked problem” of traffic choked, polluted urban environments by developing radically new modes of personal mobility for cities. The wheel robot invention was the first step, but it was only the beginning. The next step was to build fully functioning working prototypes of the car and ultimately to conduct real-life pilots in cities. In other words, it wouldn’t be enough to just invent the car of the future. To achieve true innovation, they would have to come up with a way to put it to use.
Just as the wheel robot was only part of the City Car design, the design of the vehicle itself is only a piece of the group’s plan to solve the “wicked problem” of urban congestion and pollution. They must think not only about the invention of the vehicle itself but also about how it will fit into the greater context of the city and urban life–how it can be used to create an entirely new system of personal transportation that provides the benefits of mass transit while still preserving the freedom and flexibility of personal forms of transportation like cars, bikes, and scooters. After all, cars in cities are parked 95 percent of the time, and 85 percent of cars have only one occupant. That’s a lot of empty cars.
The team’s thinking was influenced by existing vehicle sharing systems, like the Zipcar network in the United States and the world’s largest bike sharing system called Vélib in Paris, which validated that these systems could work. They wondered if they could learn from them and do it better. As a result, they are designing a shared-use system they call Mobility-on-Demand (MoD). With MoD, you would be able to pick up a CityCar at one location and drop it off at any of hundreds of recharging stations strategically placed near bus, train, and subway lines.
Picking up a car would be as easy as renting a luggage cart at the airport. Just swipe your credit card or ID at the charging station and drive away. A GPS tracker system would also prevent theft and vandalism, problems that have plagued Paris’s bike rental system and others like it. The group’s big vision is of a synchronized, networked transportation system so well coordinated that there are always enough cars in the right place at the right time. To accomplish this, they will have to design an urban nervous system that could monitor the car’s usage and traffic patterns and use sophisticated algorithms to predict demand at different points in the city at different times of day, while at the same time controlling supply to heavily trafficked locations, to avoid bottlenecks.
For example, when a particularly packed train of commuters pulls into the station during morning rush hour or when hoards of Red Sox fans descend upon Fenway Park for a night game, the system will know how to reallocate and redistribute the cars so there’s the right number of cars on hand and traffic will flow smoothly and without disruption. Such a system should also implement dynamic pricing–perhaps rentals would be more expensive on rainy days, to encourage carpooling and reduce congestion–as well as electric charging infrastructure that minimized energy consumption. In time the system could even navigate the vehicle without any effort from the driver and even integrate with other urban networks to provide fun personal services, like recommending nearby dining, shopping, and sightseeing. If widely implemented, it would totally change our concept of urban mobility, and it would be a huge step toward making the cities of the world more livable and sustainable.
The challenge of designing a MoD system like this will be to make it “smart” enough to accurately predict user demand. Solving this, too, will require a process of iterative prototyping not unlike the process that led to the full-scale model. Chin acknowledges that writing the algorithms to run this back-end part of the system is a far less glamorous task than building the physical car, but he notes that it actually may be even more valuable because it has “the clear potential to change society if done correctly.” He explains, “Our system doesn’t work just for our car. It is designed to be used for any one-way rental system, for any electric car or any bike or any scooter. We could be moving mules around the Grand Canyon or gondolas around Venice. We know that in the end, there will be lots of electric vehicles out there, and they’re going to need a back-end system to keep them running.”
Of course, the journey from the prototype to the widespread adoption in urban areas is a long one, but it is well underway. Not content to test this design only on the grounds of the Media Lab, or even on the streets of Cambridge, the Smart Cities group decided to partner with a city somewhere in the world to build and actually put a fleet of City Cars into use. So in 2010 they created a partnership with a Media Lab sponsor to build twenty full-scale working prototypes of the CityCar and then deploy them in five major urban areas in Europe within three years. Bill Mitchell was the first to concede that no one can be sure whether this particular version of the City Car will catch on. But shortly before his death in June 2010, Mitchell told me that he was absolutely confident that his group was on the right track. “The traditional model of the automobile is exhausted at this point, and there will be radical intervention. I don’t know if it will be precisely the model that we lay out, but it will be a lightweight, small-scale, and intelligent electric vehicle.”
Chin and his Smart Cities colleagues seem to be in a state of perpetual motion these days–overcoming obstacles one at a time, trying to turn the City Car from a clever invention into a profound innovation.
Excerpted from The Sorcerers and Their Apprentices by Frank Moss © 2011 Frank Moss. Reprinted by permission of Crown Business, an imprint of the Crown Publishing Group.