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Traffic Data Systems Considered



iPhone SE image taken of physical mail DataMatrix QR 2D barcode for code retrieval online at web site https://online-barcode-reader.inliteresearch.com/ 


Extracted using GIMP from a warning citation physical paper mail warning letter issued by an automated traffic camera system using machine imaging of the license plate strobe beam flash illuminated, as an automatic mailer then sent out by a data management system paid for by the local municipality, City of Renton, Wa, USA 2018.

The traffic intersection in question needs a right turn green arrow upgrade to allow a left turn moving traffic shield protected free right turn operation. Self driving cars will be able to execute remarkable traffic improvement by removing non-sense from the way that vehicles are routed by execution of superior machine learning on V2V and V2G function vehicles of many kinds and platforms.

In this example I was using our 2013 Honda PCX 150 scooter, and the plate was photographed by an automatic traffic camera citation system. The system claims I failed to stop at the light and enter the free right at 18 MPG, being fully safety shielded by the left turn lane traffic across the intersection. No safety violation in the operation of the vehicle was performed. I have been riding motorcycle in one form or another since 1997. This new system is an example of the nanny state overstepping into the non-logical enforcement privacy violation aspect of culture that stands to be greatly improved with computer controlled autonomous vehicle networks. Sadly when vehicles are piloted by finite flaw and fragile people, traffic congestion and accidents occur. Drive assist technology steadily improves new vehicle platforms with enhanced safety, eventually liberating human drivers to focus more on the trip and less on the vehicle. Making transportation easier with computers will also reduce traffic congestion. Computer controlled vehicles are more energy efficient, safer, logic in operation and stand to continually improve as each new generation of self driving car integrates the learning from all other autopilot vehicles that came before it.

Take the Segway MiniPro electric self-balancing scooter as an example of a cheap, light, low-speed electric mobility assist platform and consider the adaptive control software that learns from the users body physics to create custom motor control algorithms that adapt to the users control input style or riding style, their size, weight, force moments & control techniques with leaning, knee use and angle pitch control with proprioception.

Lets not understate the complexity of intersection light control complexity. The computer systems that control modern electric traffic intersection lights and sensors are expensive robust 24/7 operation outdoor rain or shine full sun heated cabinet computer systems that have to be very strong & durable, and are correspondingly expensive and complicated with jargon heavy applied technology across the entire domain of available traffic signal control systems. Newer systems make use of traffic analytics using inductive loop sensing, optical sensing and increasingly machine imaging and automation and network system integration online with computing information system that are automated. Derivative of aerospace defense missile tracking camera systems, the latest high tech solution are use to perform automatic photo enforcement of traffic laws that vary considerably between places around the world.




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