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Automated Destination System (ADS)

Dynamic guidance system for participants to get their destination in based on volume

Photo of Craig Brown
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Automated Destination System (ADS) Requirements: 1. User participation to exceed currently set threshold for number of road occupants needed to trigger system activation 2. Sharing Location/Destination via SMS or GPS smartphone application (plug-in) to local transportation jurisdiction 3. Programmable traffic control system for the local transportation jurisdiction Very similar to automated elevator systems the users enter their location/destination which shares this data with local traffic control systems. Thereafter, it hourly analyzes the volume, destinations and routes to determine who takes what path while altering the traffic control system operations. Basically, distribute the traffic load across all the roadways instead of just the main thruways. So yes, some paths might “seem” longer however when you minus the delay would have spent in traffic equal in travel time to respective destinations. I believe current GPS applications attempt this on a rudimentary scale whereby people many times ignore the recommendations and go the route familiar with. This is where you take road condition feedback to reroute willing participants out of those people paths. The local DOT knows every light with its timing, stop sign, lane width and zoning class. This information is what the algorithm will use to determine the routes for users at any given hour post system trigger. Plus will have historical data built on actual usage to be used in future planning.

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Photo of Aly Stone

Hi Craig, welcome and thanks for the post! Very interesting idea. Do you have any examples of something like this working in other cities or was it a moment of new inspiration? I am wondering...if people tend to ignore GPS app recommendations about traffic congestion, what's to motivate them to listen to this system? Or will it somehow enforce traffic movement? What sort of interface would drivers use to indicate their location/destination?
And just in case anybody is not familiar with the automated elevators you compared this system to - https://www.npr.org/templates/story/story.php?storyId=6799860 - I believe this is what you're talking about. Correct me if I'm wrong!
Lastly, if you do have any pictures that will help illustrate what you're describing, please upload them to the post.
Thanks very much.
-Aly, community facilitator

Photo of Craig Brown

Hello Aly, Please see replies specific to each question asked.

Do you have any examples of something like this working in other cities or was it a moment of new inspiration?

I would love to believe the idea is completely original however very unlikely. Just a short search for the concept yielded the following:
https://patents.google.com/patent/US9129525
http://appinfoinc.com/how-does-the-glance-preemption-and-priority-system-work/
https://www.fhwa.dot.gov/advancedresearch/pubs/15085/15085.pdf

What's to motivate them to listen to this system?
Here in lies the real solution…we need behavioral scientist to solve the traffic issue. IF quantitatively enough pathways exist for the volume of vehicles to arrive similar destinations within relatively the same time then it’s just a matter of getting the drivers to commit psychologically.

What sort of interface would drivers use to indicate their location/destination?
1. SMS via short code with a replied “system” determined best route based on a designed algorithm. (this is low barrier to entry and quick check for proof of concept)
I love this idea the most since can be implemented near-term using current infrastructure and doubles as a building block for future versions.

2. Localized data “plug-in” for existing navigation software, i.e. smartphone app or in-vehicle type. Perhaps using vehicle registration initially to vet user interface to city wide traffic system.

Lastly, if you do have any pictures that will help illustrate what you're describing, please upload them to the post.
I do not have any documentation to date. It’s only conceptually in my head.

Ideally a fully autonomous system without human interaction which would almost work flawlessly once iterated. I wholeheartedly believe all the viable components for the aforementioned systems already exists, albeit disjointed. With enough metadata using existing municipal information, i.e. roadway types/size, DOT signage, construction schedules and district zoning can refine the system in the future. I spent about two (2) hours reviewing current city-wide traffic control systems (TCS) and every single one is reactive in design. If there’s a concert, why not send everyone going there in varying routes whilst redirecting all others around or away from the venue radius.

Regards,
Craig Brown

Photo of Aly Stone

Craig - thanks for the detailed response! It really is an interesting idea, and I agree that folks would probably find the SMS shortcode concept to be relatively easy to integrate into their daily routines. I guess, the point that I'm left at is just difficulty imaging where one would even start. Could you draw on your own traveling experiences in Miami to isolate a few routes that maybe would be ideal to start with, or are the most problematic?

Photo of Craig Brown

Aly, I would imagine need to educate and market the tool’s availability at city agencies (DMV etc) and roadway signage. Perhaps run a few news pieces along with mailers to anyone with registered vehicles in the jurisdiction.

“For the best traffic routes please text 511...”

Restrictions: >5 miles apart

Example:
F: 4441 Collins Ave, Miami Beach, FL 33140
F: 4441 Collins Ave, Miami Beach
F: Miami Beach, FL
F: 33140

T: 2100 NW 42nd Ave, Miami, FL 33126
T: 2100 NW 42nd Ave, Miami
T: MIA Airport
T: 33126

To MIA Airport would balance the demand dynamically between RT A1A, I-195, RT 934, RT 922 and perhaps as far to RT 826.

So naturally the efficiency algorithm in the GPS takes the most direct route. However if travelled just a bit out the way would get there faster. The proposal would extrapolate existing road conditions, participates or not, then route intended additional travelers to lesser populated paths. All while using metadata like city issued permits for events, festivals, road work schedules, traffic monitors, and reports of incidents to dynamically get people to the airport.

I emailed same above response with pictures.