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DisruptMobility2

Disrupting Mobility

An interactive forum for leading executives, government representatives, and academics to discuss sustainable futures of transportation. Disruptive trends and technologies present tremendous challenges and open new debates around:

The Sharing Economy and Shared Mobility,

Changing Demographics, Sociological, and Other Key Trends,

Role of Courier Network Services (Flexible Goods Movement) and Shared Mobility,

Urban Design and Infrastructure of Disruptive Mobility,

The Role of Policy and the Public Sector,

Designing for the Sharing Economy.

TRB

Intelligent Traffic Signal Project Uses Connected Vehicles

Burney Simpson

Researchers at the University of Arizona are exploring an intelligent traffic control system that puts a priority on certain connected vehicles and includes a pedestrian smartphone application for the blind, according to a presentation this week at the Transportation Research Board 94th Annual Meeting in Washington, D.C.

 

The Multi Modal Intelligent Traffic Signal System (MMITSS) is designed to review such concepts as queue warning, speed harmonization, cooperative-adaptive cruise control, and eco-driving, according to K. Larry Head, associate professor at the university’s College of Engineering, Department of Systems and Industrial Engineering, a leader on the project.

Head said that the project’s objective is to develop a comprehensive traffic signal system that serves multiple modes of transportation including passenger vehicles, transit, emergency vehicles, freight fleets (trucks), and pedestrians.

 

Along with Head’s group, contributors to the technical aspect of the project include the University of California Berkeley, the U.S. Department of Transportation, the California Department of Transportation (CALTRANS), and the firms Savari Networks and Econolite.

The MMITSS is using real-time performance measure to review data on traffic volume, delays, throughput and stops in two sections of a four-way intersection. Each section has its own priority in types of traffic, and a priority hierarchy for vehicles. The priority for Section 1 is trucks, and the priority hierarchy is rail crossings, emergency vehicles, trucks, passenger vehicles, transit, and pedestrians. Sections 2’s priority is transit and pedestrians, and its priority hierarchy is rail crossings, emergency vehicles, transit, pedestrians, passenger vehicles, and trucks.

 

The vehicles in the project have connected vehicle equipment and an aftermarket safety device on board. Communications between the vehicles and the connected infrastructure roadside equipment (RSE) is done with Dedicated Short-Range Communication (DSRC) 5.9 GHz radio equipment. A basic safety message (BSM) is broadcast 10 times a second between vehicles and the infrastructure equipment.

 

The pedestrian smartphone app is designed to give the user auditory and haptic feedback that allows them to align with the crosswalk, send a call for service, be given a walk signal, and to understand the countdown to a signal change. Haptic refers to tactile technology that recreates the sense of touch with vibrations, motions or forces.

 

Funding for the project is provided by the Federal Highway Administration, along with the departments of transportation of the states of Florida, Michigan, Minnesota, and Virginia and of Maricopa (Ariz.) County, and CALTRANS.

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A Millennial’s Perspective on Driverless

Steve Feyer

For most of our adult lives, the millennial generation has been hearing about the promise of driverless cars. While other technology changes took place behind a screen, this revolution promises to change our lives in the real world.

This revolution promises to have a great impact on the lives of those under the age of 35, yet most commentary focuses on the opinions of political leaders, business people, and researchers who are much older. How do young adults view the coming of driverless cars?

In this series of two articles, Driverless Transportation interviewed Americans under the age of 35 about their opinions on driverless cars, seeking to understand how they hoped to benefit, and what they thought they would lose, as this technology is deployed.

In the first installment, we spoke with ten millennials working in the autonomous vehicle field. The panel included scientists, public policy experts, and engineers educated at top programs such as Carnegie Mellon University, Stanford and MIT. Interviewees included current students, entrepreneurs, researchers, and professors.

The majority of those interviewed said they still see fully driverless cars as far off. More than half thought the technology will not appear on roadways until 2030 or later. Only one thought a NHTSA Level 4 vehicle would appear in as little as six years.

Yet Google unveiled such a prototype just this past summer, so why the skepticism?

“One of the major reasons is the lack of trust in the technology,” said a current Carnegie Mellon computer science student. “Right now, some people still believe that they can make a better decision than a computer or driverless car can, despite some pretty overwhelming statistics [to the contrary].”

With their deep knowledge of the technology involved, some doubted the promise of totally automated driving.

“I don’t know if we’ll ever get to a point where a car can work its way out of any situation,” said one policy expert.

Another expert commented, “I do not think I can afford a driverless car in Level 4 in my life.”

Much coverage of driverless car technology focuses on the possibilities, but the most informed are more focused on the difficulty of engineering a car that can handle the full range of driving situations. Given this challenge, the panelists expressed more confidence in lower levels of automation for more routine driving tasks, such as auto valet and highway autopilot.

Although Google is best known for bringing driverless cars into the public eye, perhaps surprisingly, only one of these young experts thought Google would be the first to bring a driverless car to market.

“Despite the excitement over the Google car, they are not going to be the ones who sell you one of these things,” one inventor declared confidently. “Their goal is to push other companies to this market faster.”

Most thought the incumbent automakers would win the race to autonomy, specifically pointing to the German automakers and suppliers as the innovators.

“The German companies have been in this area for longer and, in my opinion, currently have the superior solutions,” said one young researcher.

Nissan and Tesla also received several votes of confidence, Nissan because of its aggressive public statements and Tesla for its level of inventiveness in a short history.

“Nissan/Infiniti seems to be making a larger bet than most on the technology,” said an engineer who builds autonomous vehicles. “Tesla and Google will definitely factor in, but I don’t know if they have the leverage to affect the majority of the auto market.”

No matter which companies are first, the technology still faces a formidable range of challenges. When prompted to discuss the main barrier to fully driverless cars, each expert talked about a different problem. The concerns fell into three general categories: technology, consumer trust and liability.

A host of unsolved technology problems occupy the experts. “Will standards be determined by a government entity or will it be an industry consortium?” asked one entrepreneur. An engineer commented on the stubbornly high cost of effective sensors. Another company founder wondered how current map-based approaches could be cost-effective: “Can they afford to test with professional drivers for all those vehicle miles traveled until they certify each software change?”

Despite the extraordinary advances of recent years, the consensus appears to be that the technology must pass many more hurdles to be ready for the mass market.

Other comments focused on consumer perception of driverless cars, with one engineer flatly declaring that most drivers will never allow their cars to take over for them.

A policy researcher asked an important question about maintenance: “On just about every corner in the U.S. you can find a mechanic who will change your oil. But how many people will be qualified to make sure the software is up-to-date and running correctly?”

Several interviewees mentioned the issue of liability, perceiving that driverless cars threaten the insurance industry’s existing business models. An engineering masters student illustrated the problem: “At the announcement of Google’s driverless car, Warren Buffett said this is the one of the worst things to affect the American economy. He happens to own a major share in Geico and he knows this would be a hit to the insurance industry.” Most who spoke about this concern, however, declared it solvable in time.

Once the issues with technology and marketing are addressed, driverless cars will raise other challenges that these young leaders hope to address. Several interviewees went into detail about traffic and access to transportation.

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Carnegie Mellon Driverless Car Team (Photo Courtesy of GM)

Avi Mersky, a Carnegie Mellon PhD student, is troubled by the potential impact on mass transit and road usage.

“Even if society subsidizes personal autonomous vehicle usage, such that all can afford it, the efficiency loss in terms of space needed for transportation and energy usage can be expected to be quite large,” Mersky explained. “If society doesn’t provide such subsidies, then much of society could find its access to transport greatly degraded. This would lead to severe costs, not just on individuals, but society as a whole.”

More optimistically, a different policy researcher suggested that “a mobility-on-demand system can make taxi systems cheaper and more efficient, and can be used to address the first and last mile problem that can make public transportation so much more tedious.”

Some published estimates have suggested a fleet of fully driverless cars could be 90 percent smaller, in theory lessening congestion, but those who are closest to the problem are not confident in this prediction.

“There’s the very real possibility that autonomous vehicles will only make traffic and congestion worse,” the policy researcher continued. “The media focuses on the hype that autonomous vehicles are going to solve all our traffic problems.”

The panelists suggested three factors that could cause driverless cars to worsen congestion. Vehicles could be programmed to be so conservative that they increase following distance and stopping times. A lack of V2V communication standards could cause vehicles not to coordinate with each other. Finally, if the cost of time spent in the car is lower, people may choose to spend much more time in vehicles – perhaps even living out of them in great numbers.

Concluded one professor, driverless cars “will change the way people commute and travel, change people’s daily schedule and life style, and our traffic in the next few decades will look very different from today.”

Whether this change is a boon remains to be seen.

While they work on different facets of driverless transportation, these rising leaders have suggested that traffic management is the most uncertain and difficult problem. The driverless future may not materialize unless autonomous cars are more convenient than today’s cars.

One could conclude from these interesting conversations that the twin issues of transit and congestion urgently need the energy and insight of the next wave of emerging world-changers.

Our young leaders had much more to say. In our second installment about the millennial view of driverless cars, we will compare the thoughts of these innovators with the opinions of twenty-somethings who work outside the field.

Stephen FeyerSteve Feyer is a James R. Swartz Entrepreneurial Fellow and MBA at Carnegie Mellon University’s Tepper School of Business.

 

 

Events

DisruptMobility2

Disrupting Mobility

An interactive forum for leading executives, government representatives, and academics to discuss sustainable futures of transportation. Disruptive trends and technologies present tremendous challenges and open new debates around:

The Sharing Economy and Shared Mobility,

Changing Demographics, Sociological, and Other Key Trends,

Role of Courier Network Services (Flexible Goods Movement) and Shared Mobility,

Urban Design and Infrastructure of Disruptive Mobility,

The Role of Policy and the Public Sector,

Designing for the Sharing Economy.