HireGo has announced that its IOTA-enabled OBD devices for driver and vehicle tracking are now ready for production use.
HireGo is a blockchain-based decentralised platform for ‘shared mobility’ services. This essentially means that it is providing a platform for vehicle sharing services that are based on the IoT or the ‘Internet of Things’, which is why they are working with IOTA.
OBD means ‘on-board diagnostics’ and is an automotive term referring to a vehicle’s self-diagnostic and reporting capability. The OBD device for HireGo vehicles are designed specifically for vehicle hire in mind with features such as monitoring driver behaviour, fuel levels and speed. The data is pushed to restricted IOTA’s Masked Authenticated Messaging (MAM) stream. The organisation created a restricted MAM stream to track vehicle analytics on its journey.
The organisation provided the following image as clarification:
HireGo aims to use blockchains to make vehicle sharing services “accessible, secure and affordable but also more rewarding”. The rewards involve using crypto tokens to physically access vehicles as part of the IoT. It is important to note, however, that HireGo will not be using IOTA tokens to facilitate its platform. It plans to use its own native HGO token for incentives, bonuses and data monetisation. For the vehicle hire, it wishes to use stablecoins to avoid price fluctuations. Interestingly, the organisation intends to use Facebook’s planned cryptocurrency, Libra once it launches. Many Twitter users did not believe this was the right choice, with one pointing out “as the number of users and use-cases grows the native IOTA token makes more sense interoperability wise”.
The HireGo platform is using blockchain technology to improve user experience in a way that is not possible in traditional vehicle sharing platforms. By using blockchain-based user identity solutions, it wishes to ensure that users of the platform are “genuine and trustworthy”. It will also store all data on the blockchain, creating an indisputable record of a user’s conduct.