ROADRUNR Documentation
  • Welcome to ROADRUNR
  • Introduction
    • Safety
    • Sustainability
    • Financial inclusion
  • What is ROADRUNR?
    • Injecting fun into Car Datanomy
    • What ROADRUNR has built is hard to replicate
    • Web2 vs Web3 - Why build this on Web3?
    • What components will be on Web3 initially?
  • Use Cases
    • Carpooling/ Ride Sharing
    • Car Resale
    • Telematics/ Blackbox Insurance
    • Fleet Management and Car Rental
    • V2X
    • Universal Driver and Car Identities
    • Mobility Intelligence
  • Technology
    • CAR and ROADRUNR NFTs
      • CAR NFT
      • Engine NFT
      • Body NFT
      • Wheel NFT
    • Gameplay
      • Reward System
      • Levelling Up
      • Overall picture
      • CAR vs ROADRUNR NFTs
    • ROADRUNR Mobile App
    • Hardware Devices
  • Tokenomics
    • $CAR token
    • $SDT Token
  • Scalability and Security
  • Current Status and Future Roadmap
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  1. Use Cases

Mobility Intelligence

Data for the flow of cars across date and time over a particular geography can be used to study the mobility pattern to effectively deploy stations, effectively plan EV charge and public transportation networks and also manage current traffic flow for better network efficiency. It can also be used by mobility providers, both government and private, to optimise their fleet deployment for better ROI.

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Last updated 2 years ago