Capacity

Stream resource to need, on-demand, requires packets sizes that match resource with need

If we are being chased by a hungry tiger, I do not have to outrun the tiger. I need only outrun you. If you are lunch, I get to procreate.

Evolution killed of humans whose circulatory system did not have 20-30 trillion red cells streaming resource to need on demand. People with larger red cells, that could carry more per cell but allowed fewer cells, were lunch. Evolution allows waste elimination to be a batch processes. In eliminating waste speed of delivery is not essential to survival. When we tell people to “take the bus or train” we treat their time as waste-able.

• LeanManufacturingTransit
• JPods-NYSERDA_2Mile
• JPodsFactSheet_022
• Capacity of PRT, a freeway lane and two light rail operating scenarios.

Videos on the precison movement of robots:

• Assembling cars with tolerances in the 1/100th of an inch range
• Dancing, the control of timing and collaboration
• Building Tesla cars
• Drones flying together.

Real estate savings illustrates the capacity difference between moving a ton to move a person and striving to move only the person on an automated network:

At 35 mph there are 15.6 meters/second. A JPods vehicle is typically 2.5 meters long. Giving 3 meters per vehicle, then 5 vehicles can travel per second. There are 3,600 seconds per hour. Assuming the truss is designed to carry the load there can be 3,600 x 5 = 18,000 vehicles/hour. With a typical 4 seats per vehicle then there would be 72,000 seats per hour.  This type of heavily loading a single rail would only occur crossing significant linear barriers such as tunnels under rivers. The Lincoln Tunnel between NYC and New Jersey arehas three tubes that carry 113,000 vehicles per day. JPods can fit 5 rails in one tube, or carry 5 x 18,000 = 90,000 vehicles per hour, or 360,000 vehicles per day.

The following image illustrates the number of equivalent lanes of traffic a single JPods rail can carry. There are 13 JPods vehilces in the same space required for 2 cars complying with the 3 Second Safety Rule. This equates to over 6 lanes of highway capacity on a single JPods rail.

This video illustrates the problem with intersections, and in the last part, how self-driving cars solve traffic issues.

This video from MIT illustrates the capacity benefits of self-driving cars at intersections. JPods networks have the added advantage of being grade separated. There are no deer, children, or other analog events that affect JPods networks.

In this illustration a train empties a couple hundred people onto a platform. Before the train has left the station, about 1/3rd of the people have already left. Within 2.25 minutes, everyone has left.

There is a profit, a value above cost, in saving people time and money. JPods focuses on the value and quality of the trip to the traveler. JPods are respectful that the time of the travel is valuable. JPods, like the automobile or elevators, serves the customer on-demand.

Just-in-Time

Small packets stream resource to need more effectively than large batches. In nature delivery systems are streaming. Blood operates with small vehicles delivering needs on-demand and streaming away waste products as they are produced. If your red cells had a thousand times their capacity but were twice as large, you would be dead. Size must be tailored to need. Historically the right size packet for move people is feet, horse, chariot, carriage, bike and automobile.

The following graph shows the capacity per lane. Year One is on the left and in the left of the second graph. Experience will support headway reduction. As oil-powered vehicles are displaced, access to tunnels and other choke-points are expected to be granted. For example, one tube of the Lincoln Tunnel between New Jersey and Manhattan could be granted. On an initial estimate, 6 rails could fit through one tube of the Lincoln Tunnel. Given that there is station and vehicle capacity, the rail would be capable of 172,800 seats per hour at .5 second headways. This far exceeds the capacity of any other mode of transport.

Click to enlarge.

Benefits of shifting from Mass Production to Just-in-Time can be gained by shifting from Mass Transit to Personal Automated Mobility.

Manufacturers experienced great productivity gains moving from Mass Production (focus on the capital asset) to Just-in-Time (focus on the quality, continuous flow and value of the process).

Here is a typical impact on a company in the early 1990’s when they shifted from Mass Production to Just-in-time continuous flow ((Womack, Jones, 1996)

Batch & Queue/1991 Flow/1995
Development time for a new product family 3-4 years 1 year
Employee hours per machine 160 80
Manufacturing space per machine 100 square feet 55 square feet
Delivered defects per machine 8.0 0.8
Production throughput time 16 weeks 14 hours to 5 days
Product delivery lead time 4-20 weeks 1-4 weeks

Forty-eight U.S. companies using Just-In-Time work teams report (Waldo, 1991):
– 35% reduction in cycle time
– 24% reduction in late deliveries
– 30% reduction in hours/unit,
– 33% reduction in work-in-progress inventories
– 58% reduction in scrap rates
– 71% reduction in customer complaints
– 39% reduction in floor space required

Reference: Applying Lessons from Lean Production Theory to Transit Planning by Dunning and Richert.

Being ultra-light and on-demand, JPods service is available 24 x 7. Capacity is 100% available 100% of the time. Buses and trains have limited capacity often and zero capacity much of the night.

How traffic signaling can help with car flows. This need is entirely preempted on JPods networks.