Brainstorming at Burning Man 2016

Contents for Brainstorming at Burning Man 2016

Our trip to Burning Man 2015 was so successful that we are expanding our presence for 2016 to a 30' PlayaDome and running 12 Brainsto...

Wednesday, September 25, 2013

Chinese High-Speed Trains Demonstrate Power of New Paradigms in Transportation


Several recent articles present strong support for the concepts I have been describing of using new modes of transportation to improve efficiency, productivity and pollution. As the articles note, the situation in the US is different from China, but that’s why my proposals are different, moving on to the next generation of transportation technology beyond the “conventional” high-speed trains and subways.

Improved transit speed provides access to a greater labor pool, larger markets, and enhances competition.

The World Bank report describes why improving transportation speed improves productivity, with impacts equal to the conventional benefits of reduced travel time, etc. The report also describes differences between developed and developing economies, with a focus on China’s new High-Speed Rail installations.

The World Finance article provides a history and compares the size of high-speed rail networks in major countries.

The NY Times article expands on the World Bank description of specifics on the China high-speed rail impacts.

I will include sample results from each article, but they are worth reading in their entirety.

High-Speed Rail, Regional Economics, and Urban Development in China, Andrew Salzberg, Richard Bullock, Ying Jin, and Wanli Fang, World Bank Office, Beijing, China Transport Topics No.08, January 2013, 74736:

Traditional economic evaluations of major transport infrastructure investments focus on the direct costs and benefits arising from travel, including user time savings, operator cost savings, and reductions in externalities including air pollution, noise, and accidents. There is an emerging consensus that major transport investments may have significant impacts that are not well captured by this type of conventional cost-benefit analysis. In China, the World Bank Transport team has supported both econometric studies and on-the-ground surveys that begin to identify and quantify these impacts in the context of China’s emerging high speed rail (HSR) program. Based on this and other research, the Bank team has begun to pilot a methodology to evaluate wider economic development benefits for several HSR projects, and has found them to be significant - of the same order as, but additional to the direct transport benefits that are traditionally measured. Crucially, these benefits of larger and better connected markets accrue to businesses and individuals even when they themselves do not travel. This paper highlights this research and methodology and the policy implications related to maximizing these benefits in practice.

”All else being equal, a new business located within daily reach of such hubs will be more accessible to a larger pool of labor and other businesses, raising productivity. [UK Department for Transport (2006). Transport, Wider Economic Benefits, and Impacts on GDP.] This link is an important element of what are broadly referred to as agglomeration economies, the benefits that accrue to firms and individuals from the clustering of economic activity.


– This is significant support for my proposals, both for transportation and for the Sustainable Communities that will grow with them.

“The concept and measurement of economic mass is relatively straightforward; where research has progressed in recent years has been in identifying the relationship between the economic mass of a region and its overall level of productivity. This link is based on four propositions:
a)    economic mass rises with transport improvements;
b)  the average output of employees, and hence their wages, varies directly with economic mass, even after controlling for other variables;
c)    there are positive externalities from transport improvements which increase output for some firms independently of their use of the transport network; and
d)    this increase in output is not included in the standard evaluation of transport projects.
“A major UK study that attempted to quantify this relationship estimated that, other things being equal, a doubling of economic mass would give rise to an increase in per worker productivity of 3.5% [ Rice, P.G., A.J. Venables and E Patacchini (2006). Spatial determinants of productivity: Analysis for the regions of Great Britain.  Regional Science and Urban Economics, Vol 36, pp727-752.]. Crucially, these productivity benefits accrue to businesses and individuals even where they do not themselves travel.

– These results are for developed economies, so this study examined the results for China, a developing economy.

“Overall, the best estimates of the elasticity of productivity with respect to economic mass are over double the economy-wide results obtained in comparable studies in developed countries. The best models in our estimation so far imply that doubling economic mass would give rise to an increase of per worker productivity of 9-15%. This is higher than the consensus view from a comprehensive review of such evidence in the developed economies that such a doubling would increase productivity by an amount that ranges from 5-8% [Rosenthal, S and WC Strange (2004).  Evidence on the nature and sources of agglomeration.  Review of Economics and Statistics, Vol 85, pp377-393.].

“Benefits were calculated for the 30-year period following project completion. Direct benefits including time savings for passengers and freight, reductions in operator cost, and generated traffic, yielded net present benefits of approximately 50 billion RMB in 2009 RMB. Using the elasticity of productivity with respect to economic mass adopted above, the agglomeration benefits were estimated at 49 billion RMB (both weighed against the 2009 present value of project costs of 47.9 billion RMB, all discounted at 12%). In our analysis, then, agglomeration benefits were found on the order of (and in this case only slightly lower than) traditional project benefits."

A World Finance article The Need for high-speed rail, July 3, 2013 gives a wider, and historical  context.

 The NY Times article today, High-Speed Trains Transform China, expands on the World Bank analysis for China.


“Just five years after China’s high-speed rail system opened, it is carrying nearly twice as many passengers each month as the country’s domestic airline industry. With traffic growing 28 percent a year for the last several years, China’s high-speed rail network will handle more passengers by early next year than the 54 million people a month who board domestic flights in the United States.

“China’s high-speed rail system has emerged as an unexpected success story. Economists and transportation experts cite it as one reason for China’s continued economic growth when other emerging economies are faltering.

“For example, Chinese workers are now more productive. Chinese cities connected to the high-speed rail network, as more than 100 are already, are likely to experience broad growth in worker productivity. The productivity gains occur when companies find themselves within a couple of hours’ train ride of tens of millions of potential customers, employees and rivals.

“Productivity gains to the economy appear to be of the same order as the combined economic gains from the usual arguments given for high-speed trains, including time savings for travelers, reduced noise, less air pollution and fuel savings, the World Bank consultants calculated.

“Companies are opening research and development centers in more glamorous cities like Beijing and Shenzhen with abundant supplies of young, highly educated workers, and having them take frequent day trips to factories in cities with lower wages and land costs, like Tianjin and Changsha. Businesses are also customizing their products more through frequent meetings with clients in other cities, part of a broader move up the ladder toward higher value-added products.

“'More frequent access to my client base has allowed me to more quickly pick up on fashion changes in color and style. My orders have increased by 50 percent,...'”

“Statistics suggest that China's high-speed trains have actually proved to be one of the world's safest transportation systems so far.

“Nearly every train from Changsha station, leaving minutes apart for cities across China, is sold out, and a big expansion is already planned.

“China relocated large numbers of families whose homes lay in the path of the tracks and quickly built new residential and commercial districts around high-speed train stations.

“The new districts, typically located in inner suburbs, not downtown areas, have rapidly attracted large numbers of residents, partly because of China’s rapid urbanization. Enough farm families become city dwellers each year to fill New York City.

 “China’s success may not be easily reproduced in the West, and not just because few places can match China’s pace of urbanization. China has four times the population of the United States, and the great bulk of its people live in the eastern third of the country, an area similar in size to the United States east of the Mississippi.

“'Except for Boston to Washington, D.C., we don’t have the corridors of high population density that China has,'" said C. William Ibbs, a professor of civil engineering at the University of California, Berkeley.

“China’s high-speed rail program has been married to the world’s most ambitious subway construction program, as more than half the world’s large tunneling machines chisel away underneath big Chinese cities. That has meant easy access to high-speed rail stations for huge numbers of people.

Tuesday, September 24, 2013

4-Dimensional Global Maps – Economic & Technical Feasibility


An issue I haven’t talked much about is the economic and technical feasibility of the 4-Dimensional Global Maps, and other services, I’ve been discussing.

I was watching a YouTube video of the Intelligent Transportation System conference in Vienna Austria in 2012, including a black-tie ball, and looking at the website of the Car2Car consortium of European auto manufacturers and suppliers. That led me to focus on the amounts of money being spent by the auto manufacturers, suppliers, governments, and others, including Google, to design and implement these systems for autonomous cars.

Thus figuring out how to fund the development and implementation of the algorithms and code, as well as the processing, storage, and operation is essential for the continued viability of my ideas.

So who would spend the money to develop the systems I’ve been discussing? Fortunately, 4-Dimensional Global Maps are already in widespread use in MMOGs (Massively Multi-player Online Games). World of Warcraft, has about 9M subscribers, demonstrating the feasibility and viability of very large systems.

The MMOGs have already developed systems for creating and managing 4-dimension maps, including scenery and motion of many objects simultaneously, spread among large numbers of separate processors. Extensive competition among games has optimized communication, shared storage and processing, and features such as zooming in and out. They use physics models to predict motion so that you don't have to send updates unless there is a significant change in the motion of the objects (i.e., a significant change in acceleration, in 2 or 3 dimensions).

These models provide detailed local maps maintaining up-to-date characteristics of the local area, while also providing aggregation of information for larger scale maps in the distance. Thus the algorithms and even the code are already available, with several platforms available, and more under development.

A next question is who will pay for the processing and storage for these maps. We can't count on having essentially free unlimited processing and storage from the likes of Google for our future system. So having the processors which are running the autonomous systems also provide the services in a distributed manner establishes feasibility and economy for the whole system.

“Volunteer Computing” has been designed to run applications on myriad distributed PCs over the Internet, providing massive processing and storage, while maintaining privacy and security. A major example is SETI@home, with 228K active hosts and 3M total hosts worldwide, producing an average of 505 TFLOPS. SETI@home uses the BOINC open source middleware system, thus demonstrating the potential for both distributed processing and open source coding. 

Widely used examples of open source coding are LINIX, Java, MySQL, Apache web serverand Firefox. These paradigms establish the feasibility of the overall development of our Autonomous systems.

Thus each Autonomous Processor will participate in providing the overall services of computing, verifying, storing and processing maps and routing information. 

We also anticipate including personal communication devices, smartphones, digital assistants, etc. as participants in the monitoring and mapping system. They add not only processing and storage to the system, but provide additional Points-of-View and sensors, thus filling out the needed information for accurate and timely 4-Dimension Global Maps and other services, even if no Autonomous Vehicles are in the area.

Sunday, September 22, 2013

Challenges of Car-Based, Situation-Oriented Approach


In reviewing the cases described in Car2Car approach, there are challenges to the Car-Based, Situation-Oriented approach:

1. The Car2Car system apparently uses specific messages for each different situation. Thus it may not be prepared to deal with situations that don't have an existing message.

2. The Car2Car messages correspond to specific events observed and reported by Car2Car system objects – what about observations by other types of intelligent objects, such as smartphones? Why would a smartphone want to participate in the Car2Car system? It has quite different sensors from a car and needs to provide quite different services to its owner.

Years ago one of my friends was driving through an intersection when an entire truck wheel rolled in front of them totaling their car. It wasn’t visible to them until too late to avoid the collision because it was approaching fast down the side street. I hope there is a message for “unidentified object approaching”. And it also needs to convey motion information, along with size and mass, so they know whether to try to avoid it – perhaps it is just a plastic bag blowing in the wind.

One night years ago I was driving down a 4-lane divided highway in New Jersey, so of course it had strip malls on the side. There were no other vehicles on my side of the road, unusual for New Jersey, when I saw a deer appear in my headlights in the middle of my lane. No problem, I thought, I will just switch to the other lane, but then I saw it was a whole herd of deer blocking the entire road – the collision was inevitable, even though I braked as hard as I could as soon as I saw the deer. Would the Car2Car approach have warned me of that herd of deer with enough information to tell my what to do: change lanes, emergency braking, move to the shoulder, … ?

By contrast a 4-Dimension Global Map includes everything in the area, whether it is a system object or not, and whether it is recognized by the system or is an unidentified item, and information is gathered from a wide range of different electronic devices, including smartphones.