Goose Q road data business explained
Road data is the core business of Goose Q project. Wide coverage of 4G networks in China allows Goose Q to collect huge amount of data related to road conditions, road infrastructure, driving behavior, traffic, and other. This data has huge importance for a number of industry participants. Let’s have a look how it works.
The main data producers are those who drive all day long — trucks and taxis. According to China Federation of Logistics and Purchasing research, trucks with two drivers drive up to 16 hours a day and taxis up to 10.5 hours a day. The research also shows that in China there are about 23 million trucks and 1.4 million taxis, which is about 7% and 0.4% from all motor vehicles in China respectively.
Goose Q has an aim to enable all these trucks and taxis in China as a source of road data. In order to do this, Goose Q is partnering with automotive hardware producers (video recorders, rearview mirrors) to collect multimedia and driving behavior data, distributing Daluka sim-card to collect geospatial data, and develops a road messenger to collect drivers’ information.
But who need all this data? There four main types of data consumers and some scenarios why they need it:
2B. Online maps developers require multimedia and GPS data to produce more actual and comprehensive systems; credit organizations and insurance companies require driving behavior and personal data to diminish their business risks.
2G. Tax authorities require more close tracking of invoices and business activities, municipalities require data accident-prone road section, and road police require multimedia data and driving behavior data to increase safety.
2C. Car owners require actual road conditions and road infrastructure data to save fuel and money for toll road fees. There are about 230 million private cars in China.
2D. Developers require multimedia data to teach AI and driving behavior data to improve UI/UX of car equipment software.
Goose Q is developing blockchain technology for the ecosystem to encourage data producers with GQ token rewards to be more active in collecting and providing road data.
What is the value of these data? There are two industry cases that explain that very well: purchase of Telematics for $930 million by Bridgestone and acquisition of 15% Qianfang Technology shares for $500 million by Alibaba. Both Telematics and Qianfang collect, analyze, and sell road data.
Goose Q is a blockchain solution for the global logistics industry with more than 10 years of development history. Goose Q’s main purpose is to provide a visual, verifiable, credible, traceable, anti-fraud, immutable data of the logistics industry in order to enhance its efficiency and transparency as well as to improve truck drivers’ financial and psychological wellbeing.
Webpage: htttp://www.gooseq.com
Telegram group: https://t.me/gooseQ
