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Safe Road Club AI whitepaper

Safe Road Club AI: Revolutionizing Road Safety with Blockchain and Artificial Intelligence

The Safe Road Club AI whitepaper was written and published by the core team of the Safe Road Club AI project in Q4 2025, against the backdrop of deep integration between artificial intelligence and road safety technology, aiming to address increasingly complex road traffic safety challenges and propose innovative solutions.

The theme of the Safe Road Club AI whitepaper is “Safe Road Club AI: An AI-Based Intelligent Road Safety Ecosystem.” Its uniqueness lies in the integration of advanced AI algorithms, big data analytics, and IoT technology to build an intelligent platform that senses, predicts, and intervenes in road risks in real time; this offers a new paradigm for improving global road safety and reducing traffic accident rates.

The original intention of Safe Road Club AI is to build a proactive rather than reactive road safety system. The core viewpoint presented in the whitepaper is: through AI-driven risk prediction and intelligent collaborative intervention, it is possible to achieve the vision of zero road accidents and provide all road users with a safer, smarter travel experience.

Interested researchers can access the original Safe Road Club AI whitepaper. Safe Road Club AI whitepaper link: https://saferoadclub.gitbook.io/src-ai

Safe Road Club AI whitepaper summary

Author: Clara Prescott
Last updated: 2025-11-19 10:11
The following is a summary of the Safe Road Club AI whitepaper, expressed in simple terms to help you quickly understand the Safe Road Club AI whitepaper and gain a clearer understanding of Safe Road Club AI.

What is Safe Road Club AI

Friends, imagine this: every time you drive, your driving data isn’t just stored in your car—it can actually earn you rewards and help make future autonomous vehicles safer and smarter. Safe Road Club AI (SRC for short) is such a project: an AI-powered Web3 application (think of Web3 apps as next-generation internet applications built on blockchain technology, making data and value ownership more decentralized), designed to turn our everyday driving data into valuable assets.

Simply put, SRC is like a combination of a “data bank” and a “reward center.” It uses an AI agent to automatically collect your daily driving data—such as your routes, speed, road conditions—and converts these into rewardable activities. All you need to do is upload your dashcam footage, and this data will be used to train and improve autonomous driving systems and advanced driver-assistance systems (ADAS) AI models. In return, you’ll receive token rewards. Its core goal is to provide high-quality training datasets for autonomous driving technology, while allowing everyday drivers to gain economic value from their data.

Project Vision and Value Proposition

SRC’s vision is to fundamentally change how we monetize driving data. By incentivizing user participation, it aims to foster data trading in a decentralized data marketplace. Imagine: every safe drive, every time you follow traffic rules, you’re not just staying safe—you’re contributing to the future of smart transportation and getting rewarded for it. SRC is committed to turning these everyday activities into economic value.

The core problem this project seeks to solve is how to efficiently collect large volumes of real driving data to train autonomous driving AI, while also benefiting data contributors. By converting driving data into digital assets and using blockchain technology for recording and rewards, SRC aims to build an ecosystem that integrates dashcam data sharing, reward acquisition, and autonomous driving model training dataset construction. This not only helps develop smarter, more reliable autonomous driving technology, but also allows ordinary people to earn “passive income” through daily driving.

Technical Features

SRC’s core technology is the combination of artificial intelligence and blockchain. It’s a Web3 application built on Solana (Solana is a public blockchain network known for high performance and low transaction fees). The project’s AI agent automates data collection and “gamified” decision-making, such as evaluating driving behavior through GPS speed tracking and AI analysis.

SRC collects and processes real driving data and road images, extracting visual features that are crucial for training visual question answering (VQA) models for autonomous vehicles. Their AI technology can extract valuable information from dashcam videos to develop safer, more efficient autonomous driving models, including object detection, image segmentation, depth estimation, optical flow analysis, traffic scene understanding, and driving decisions based on sensor inputs. Additionally, SRC is developing its own large language model (LLM) and visual language model (VLM), hinting at more complex AI feature integrations in the future.

Tokenomics

Safe Road Club AI’s token symbol is SRC, and it runs on the Solana blockchain. Tokenomics simply refers to the economic model of the project’s token, determining its issuance, distribution, and use within the ecosystem.

  • Token Name: Safe Road Club
  • Token Symbol: SRC
  • Issuing Chain: Solana
  • Current Circulating Supply: Approximately 2,000,000 SRC tokens.
  • Maximum Supply: 1,000,000,000 (1 billion) SRC tokens.
  • Token Utility: SRC tokens are mainly used to reward user contributions within the ecosystem, such as uploading driving data, and for transactions within the ecosystem.
  • Acquisition Method: Users can purchase SRC tokens through platforms like ORCA DEX (a decentralized exchange).

The total supply, circulating supply, and distribution method all affect the token’s market performance. Projects usually set up vesting schedules, meaning tokens are released in stages to prevent large amounts from flooding the market in a short time and causing price volatility, while supporting long-term project development.

Team, Governance, and Funding

The founders of Safe Road Club AI are HC Lee and Justin Chang. HC Lee has extensive experience in sales engineering, while Justin Chang is experienced in blockchain project management. Their expertise is considered key to ensuring robust platform development and execution.

Currently, public information does not detail the project’s specific governance mechanisms, such as community voting or decentralized autonomous organizations (DAOs). Regarding funding sources, apart from users being able to purchase tokens via decentralized exchanges, there is no further detailed information about the project treasury or financial operations.

Roadmap

According to the official website (src.ai), the project has a “roadmap” page. However, available information does not list past major milestones or future specific planning nodes in detail. Typically, a roadmap shows the project’s development direction and phased goals, such as new feature releases, user growth targets, and ecosystem partnerships.

Common Risk Reminders

All blockchain projects carry certain risks, and Safe Road Club AI is no exception. Before participating in any crypto project, be sure to conduct thorough research and risk assessment. Here are some common risk points:

  • Technical and Security Risks: Blockchain and AI technologies are still rapidly evolving and may have unknown technical vulnerabilities or security risks, leading to data leaks or asset loss. Additionally, the accuracy and fairness of AI models require ongoing attention.
  • Economic Risks: The price of SRC tokens is affected by market supply and demand, overall crypto market volatility, and project development, and may fluctuate sharply or even go to zero. Some believe the project’s long-term investment potential is debatable, so investors should research carefully.
  • Compliance and Operational Risks: Global regulations on cryptocurrencies and data privacy are still unclear and constantly changing, which may impact the project’s operations and development. The team’s execution ability, market competition, and user adoption also affect project success.
  • Data Privacy Risks: The project needs to collect users’ driving data. Although it claims to be secure, data privacy and usage scope remain important concerns.

Please note: The above information is for reference only and does not constitute investment advice. Always conduct your own independent research and risk assessment before making any investment decisions.

Verification Checklist

When researching a project in depth, here are some aspects you can verify yourself:

  • Block Explorer Contract Address: Find the SRC token’s contract address on the Solana blockchain and use the Solana explorer to view token issuance, holder distribution, and transaction records.
  • GitHub Activity: If the project is open source, check its GitHub repository for code update frequency, number of contributors, and issue resolution, which reflects development activity.
  • Official Website and Whitepaper: Visit the project’s official website (src.ai) and read its whitepaper (if available) to understand the project’s vision, technical details, and economic model in more depth.
  • Community Activity: Follow the project’s community activity on social media (such as Twitter, Telegram, Discord) to learn about community discussions and project progress.

Project Summary

Safe Road Club AI is an innovative project combining artificial intelligence and blockchain technology, aiming to incentivize users to contribute driving data for training autonomous driving AI models and rewarding users with tokens. Its core value lies in providing high-quality training data for autonomous driving technology while creating a new way for everyday drivers to monetize their data. The project runs on the Solana blockchain and is led by team members experienced in sales engineering and blockchain management.

However, like all emerging blockchain projects, SRC faces risks in technology, market, regulation, and data privacy. Before participating, it’s recommended to conduct comprehensive personal research and fully understand the potential risks. Remember, this is not investment advice, but a popular science introduction to a new project. For more details, please research independently.

Disclaimer: The above interpretations are the author's personal opinions. Please verify the accuracy of all information independently. These interpretations do not represent the platform's views and are not intended as investment advice. For more details about the project, please refer to its whitepaper.

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