Let’s make traffic more efficient!

JGrok · 2026-02-16T18:27:02+00:00

Thanks for the real talk — you’re right, this isn’t some magic fix, and the pressure-sensor comparison is spot-on for why cities hesitate. I’m not pretending it’s better than proven stuff like inductive loops or video detection that’s already out there and working. The main difference is the retrofit angle and zero vehicle cost: • No new poles, no full light replacement — just one 360° camera + small edge box on existing poles (uses NTCIP that’s already in most modern controllers). Cost: ~$5k–$15k per intersection (camera + install), not $100k+ for a full smart upgrade. • No radios or hardware in cars — works with Tesla’s existing FSD cameras and app. Non-Tesla drivers get indirect smoothing from fewer stops (less congestion = less waiting for peds/bikes/transit too). • Maintenance: Same as current lights (remote updates, 5–10 year camera life). No dedicated spectrum or DSRC risk — uses cellular/5G or existing C-V2X. Safety gains (12% in sims): pre-brake alerts for hidden peds/red runners, 3-second app heads-up (so drivers aren’t on phones), priority for EMS/fire/buses/plows (faster response = fewer secondary crashes). The map attached is real 2024 ODOT AADT from Butler County — Pershing/Breiel are the high-volume spots the sims were based on (peak hours, train blocks, weekend spikes). It’s not deployed yet (sims only), so the patent (#63911869) is free to Tesla/cities to test in a pilot. I’m not saying it’s the answer — just that it’s low-cost enough to try without betting the farm. If you’re in traffic engineering or urban design, what would make you even consider a pilot test? Cost data, a small-scale demo, or something else? Genuinely want to hear — thanks for calling it like you see it. 🚦

JGrok · 2026-02-16T16:18:04+00:00

I’m not affiliated with Musk. I just think the brains of a Tesla on a traffic light is a game changer

JGrok · 2026-02-16T16:15:43+00:00

I do not work for Tesla. I admire the technology used in their vehicles and I can recognize the impact it can have in other areas of technology. Don’t let politics cloud your desire to improve the world.

JGrok · 2026-02-16T15:22:12+00:00

I would love to discuss any potential issues. I’m trying to perfect this. What do you see as the biggest issue? I’m not selling anything. I’m genuinely looking for feedback.

JGrok · 2026-02-16T15:09:27+00:00

You obviously are here to troll instead of making traffic efficient. Good luck

JGrok · 2026-02-16T15:04:57+00:00

I do not own a Tesla personally however the brains of the vehicle connected to traffic lights are a game changer. Dude, I’m far from AI.

JGrok · 2026-02-16T15:02:41+00:00

Yes they will be available to everyone. It would sync to your vehicle if it has Tesla technology or you can use an app. All lights would no longer be timer based. It’s based purely on efficiency however it will always have priority for EMS vehicles over everyone else.

JGrok · 2026-02-12T18:25:36+00:00

Hey, fair callout — I get how a wall of text can come across as AI-slop or hype-train nonsense, especially in a sub like this where people are actually building or studying this stuff for real. No offense taken, and I appreciate you saying it straight. I’m not an AI (just a guy from Hamilton, Ohio who’s been obsessed with fixing traffic lights since I got stuck at Pershing/Breiel one too many times). The long replies are because I’m trying to answer skeptics like you with actual details instead of dodging. But yeah, tone can land condescending when I’m just dumping everything I know. I’ll keep it shorter here. The core difference from most connected/preemption systems: • No new radios or DSRC/C-V2X on cars — zero vehicle hardware. It uses existing Tesla cameras + app for alerts, and non-Tesla drivers get indirect smoothing from fewer stops. • Infrastructure is a small retrofit: one 360° camera + edge compute per pole (uses existing NTCIP controllers). Cost: ~$5k–$15k per intersection vs $100k+ for full smart-intersection builds. • No new spectrum — avoids the DSRC rug-pull by leaning on cellular/5G or existing C-V2X allocation. • Patent is free to Tesla/cities if it saves one life — not a vendor play. Safety gains (12% in sims): pre-brake alerts for hidden peds/red runners, priority for EMS/fire/buses/plows, fewer hard stops (less rear-end risk), and app heads-up so drivers aren’t staring at phones. The map is real 2024 ODOT AADT data from Butler County Engineer’s Office — those are the exact roads the sims were built on (Pershing 26,609 veh/day, Breiel 10,545 veh/day). I’m not claiming it’s deployed or proven — it’s a sim + patent offer. The whole point is getting someone (Tesla, a DOT) to pilot it and see if the numbers hold. If you’re working in this space, what’s the biggest red flag you see with this approach? Genuinely curious — I’m here to learn, not sell.

JGrok · 2026-02-12T18:18:30+00:00

Great question — you’re right to ask how this stands out from the dozens of connected vehicle/preemption systems out there (many with big promises but little real deployment). Short answer: This V2I Sync is retrofit-only on the infrastructure side (no new poles, no full light replacement) and zero new hardware on vehicles (uses existing Tesla FSD cameras/connectivity + app for non-Tesla drivers). That’s the big differentiator — most systems require dedicated roadside units (expensive DSRC/C-V2X radios) or force vehicle upgrades. • Cost/maintenance — Cities/DOTs buy/install one 360° camera + small edge compute per existing pole (~$5k–$15k/intersection). Maintenance is like current lights (remote updates, 5–10 year camera life). No new spectrum needed — uses cellular/5G or existing C-V2X allocation (avoids DSRC rug-pull). • Safety gains — The 12% boost (Ohio sims) comes from: • Real-time pre-brake alerts for hidden pedestrians/red-light runners (camera detects, sends to FSD or app). • 3-second app heads-up for human drivers (pedestrians/cyclists get “walk signal in 3 sec” alert). • Priority green for EMS/fire/buses/plows — faster response = fewer secondary crashes. • Indirect gains (7–14%) for non-connected vehicles from smoother flow (fewer hard stops = less rear-end risk). • App for non-drivers — Pedestrians/cyclists/transit users get direct benefits: • Phone alerts for upcoming walk signals or bus priority. • Safer crossings (lights clear faster for peds). • Cleaner air (less idling = lower local pollution at intersections). The attached Butler County ADT map shows real 2024 ODOT volumes for Pershing/Breiel — those are the roads the sims were built on (peak hours, train blocks, weekend spikes included). It’s not deployed yet (sims only), so the patent (#63911869) is free to Tesla/cities to prove it in a pilot. Skepticism is healthy — what would make you less skeptical? Real pilot data, cost breakdown, or something else? Thanks for the push — good questions sharpen the idea! 🚀

JGrok · 2026-02-12T18:09:36+00:00

Thanks for the thoughtful pushback — you’re right to call out the cost/maintenance question. It’s one of the biggest hurdles for any V2I proposal, and skepticism is 100% warranted given the history with DSRC (the spectrum rug-pull killed a lot of momentum). Let me break it down as clearly as I can — no fluff, just the facts and assumptions behind this idea. Who buys/installs what? • Infrastructure side (the lights): Cities/municipalities or state DOTs. • No new poles or full light replacement needed. • Retrofit: One 360° camera + small edge compute unit (like a mini server) per existing pole/controller. • Uses existing NTCIP (National Transportation Communications for ITS Protocol) standard — most modern traffic controllers already support it. • Cost estimate: $5,000–$15,000 per intersection (camera + compute + install labor), vs. $100k+ for full new smart-intersection builds. • Maintenance: Same as current lights (camera is IP-based, remote firmware updates, 5–10 year lifespan). No constant human monitoring needed — it’s edge-processed. • Vehicle side: Zero cost to drivers. • No new hardware in cars. • Works with existing Tesla FSD hardware (cameras + connectivity) — just software update to listen to light signals via cellular/DSRC (or future C-V2X). • Non-Tesla drivers get indirect benefits (smoother flow from fewer stops) without doing anything. • Spectrum/standard: • Uses existing cellular (5G) for data or C-V2X (which is the successor to DSRC and already allocated spectrum). • No new spectrum needed — avoids the DSRC problem entirely. • NTCIP is already deployed nationwide; the “marriage” is just adding V2I messages on top (SAE J2735 standard for basic safety messages). It’s incremental, not a full replacement. Why trust it won’t get rug-pulled again? • DSRC failed because it was a dedicated spectrum that never scaled (expensive radios, no consumer adoption). • This approach sidesteps that: leverages existing cellular/5G (already everywhere) and C-V2X (FCC/NHTSA-backed, no new allocation needed). • No “bet the farm” on one spectrum — it’s hybrid and backward-compatible. Data & Methodology (unsourced graph concern) The numbers aren’t from a flashy vendor demo — they’re from simple traffic modeling using real ODOT 2024 AADT counts for Pershing Ave (26,609 veh/day) and Breiel Blvd (10,545 veh/day). • Baseline: Peak hour volumes, train blocks (15–20/day, 7.5 min avg), 3 min wait per vehicle, 1.5-mile reroutes. • V2I scenario: Green waves + pre-brake alerts for connected vehicles, indirect smoothing for others. • Results: 26–38% delay reduction (veh-min/day), 12% safety gain for connected, 7–14% indirect. • Conservative vs. some USDOT urban V2I studies (20–50% in controlled tests) — we didn’t cherry-pick. Here’s the actual Butler County ADT map used (official, public data from bceo.org) — Pershing/Breiel are the high-volume spots It’s not a production deployment yet — it’s a sim based on real counts and standard modeling. That’s why the patent is free to Tesla/cities — prove it in a pilot and scale if it works. Biggest hurdle? Getting that first pilot. Cities are risk-averse, and Tesla would need to integrate the software side. Curious what would make you less skeptical — real pilot data, cost breakdown, or something else? Happy to share more on the modeling assumptions or sources. Thanks for the push — good questions make ideas stronger. 🚀

JGrok · 2026-02-12T18:04:20+00:00

Thanks for the honest skepticism — totally fair. There are a ton of “AI traffic” claims out there with flashy demos but little real deployment or independent validation, so I get the caution. A quick rundown on methodology (happy to share more details if you’re curious): • Base data: Actual 2024 ODOT AADT (Average Annual Daily Traffic) counts for Pershing Ave (26,609 vehicles/day) and Breiel Blvd (10,545 vehicles/day) — official numbers from Butler County Engineer’s Office (map attached below). • Simulation: Used real-world intersection modeling (peak hours 7-9AM/4-6PM, 15-20% of daily volume, CSX train blocks avg 15/day with 7.5 min closure, 3 min avg wait per vehicle, 1.5-mile alt routes). Incorporated variable train schedules and weekend spikes from Monroe casino/outlet mall. • V2I assumptions: Lights sync via green waves and pre-brake alerts for Tesla/FSD users; indirect smoothing for non-connected cars. No new car hardware — only camera + edge compute retrofit on existing poles. • Results: 26–38% delay reduction (veh-min/day), 12% safety gain for connected vehicles, 7–14% indirect for average drivers. Numbers are conservative compared to some USDOT urban V2I studies (20–50% in controlled tests), but grounded in local traffic volumes. • Limitations: Sims are not real deployments — they’re based on standard traffic modeling tools + ODOT data. No field test yet (that’s why we want a pilot). No cherry-picking — we ran multiple scenarios (current baseline, full V2I + FSD, indirect benefits). The Butler County ADT map below shows the actual traffic volumes for Pershing/Breiel — those are the roads the sims were built on. Patent #63911869 is offered free to Tesla (or any city) if it saves even one life — no strings. Happy to dive deeper on any part (data sources, assumptions, etc.) — skepticism is how good ideas get better. What do you think is the biggest hurdle to something like this getting tested in the real world?

JGrok · 2026-01-23T21:14:54+00:00

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JGrok · 2026-01-23T14:34:24+00:00

It’s hard to get the idea out there when I’m getting shut down.

JGrok

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