GOOSE Q: Road Data Computation Engine

Hello everyone, I'm constantly researching on new or old projects and platforms, and sometime I get great surprises just like finding GOOSEQ amongst the very best projects in existence.

So today I want to share my findings on GOOSEQ which indeed is an awesome project I just discovered and yes! have been in existence for more than 10years, it really wowed me for these team to have keep up for so long. All these findings is making my day really better.

This project have such energy and feeling, it's awesome to know and understand it's usecase.
So today I've done alot of reading about GOOSEQ and this is a project to be part of.

Let's talk about no other project but GOOSEQ!

One of my major discussion of the GOOSEQ is the Road data, which is the center business of GOOSEQ project. Wide inclusion of 4G arranges in China permits GOOSEQ to gather colossal measure of data identified with road conditions, road framework, driving conduct, traffic, and other. This data has enormous significance for various industry members. We should see how it functions.

The principle data makers are the individuals who drive throughout the day — trucks and taxicabs. As per China Federation of Logistics and Purchasing research, trucks with two drivers drive as long as 16 hours every day and taxicabs up to 10.5 hours daily. The exploration additionally demonstrates that in China there are around 23 million trucks and 1.4 million cabs, which is about 7% and 0.4% from every engine vehicle in China separately.

GOOSEQ has a mean to empower every one of these trucks and taxicabs in China as a wellspring of road data. So as to do this, GOOSEQ is joining forces with car equipment makers (video recorders, rearview mirrors) to gather sight and sound and driving conduct data, dispersing Daluka sim-card to gather geospatial data, and builds up a road emissary to gather drivers' data.

Be that as it may, who need this data? There four principle sorts of data customers and a few situations why they need it:

2B Online maps designers require interactive media and GPS data to create progressively real and exhaustive systems; credit associations and insurance agencies require driving conduct and individual data to decrease their business dangers.

2G Assessment specialists require all the more close following of solicitations and business exercises, districts require data clumsy road area, and road police require mixed media data and driving conduct data to build wellbeing.

2C Vehicle proprietors require genuine road conditions and road framework data to set aside fuel and cash for toll road expenses. There are around 230 million private autos in China.

2D Engineers require sight and sound data to instruct AI and driving conduct data to improve UI/UX of vehicle hardware programming.

GOOSEQ is creating blockchain innovation for the ecosystem to support data makers with GQ token prizes to be progressively dynamic in gathering and giving road data.

What is the estimation of these data?
There are two industry cases that clarify that great: acquisition of Telematics for $930 million by Bridgestone and securing of 15% Qianfang Technology shares for $500 million by Alibaba. Both Telematics and Qianfang gather, break down, and sell road data.

WEME vehicle specialized gadget created by GOOSEQ group in 2014. About 100k gadgets were sold.

GOOSEQ is a blockchain answer for the worldwide coordinations industry with over 10 years of improvement history. GOOSEQ's principle object is to give a visual, undeniable, dependable, recognizable, hostile to misrepresentation, changeless data of the coordinations business so as to upgrade its productivity and straightforwardness just as to improve truck drivers' financial and mental prosperity.

For more details and update, kindly see below links

Website: https://gooseq.com/
Whitepaper: https://gooseq.com/img/GooseQ-whitepaper-EN-1.04.pdf
Twitter: https://twitter.com/StevenBai13
Telegram: https://t.me/gooseQ
Medium: https://medium.com/goose-q
Linkedln: https://www.linkedin.com/company/goose-q
Weibo: https://weibo.com/u/5225166760