Technology: IOTA

In Short: Earn IOTA by publishing camera image data as training data for autonomous vehicles.

Mobility context: The prevalence of autonomous vehicles is increasing. These vehicles need millions and millions of miles of training data in order to train their systems to drive better. Currently the industry is using dedicated vehicles to collect this information or small but existing fleets. However, the amount of data coming in isn’t enough.

The Solution: Pac-man on Wheels uses dedicated Dash-cam type hardware and IOTA micro-transactions to incentivise the mapping of trajectory patterns for manned vehicles throughout cities. The system uses cheap but specialised hardware for point-cloud capture, IPFS to store that information and IOTA to reveal the data and receive payment.

Technology: IOTA

In Short: On time KYC system that reveals only the required information when needed.

Mobility Content: With more and more mobility service providers providing unique and useful services, a user navigating these services is subject to undergo Know Your Customer (KYC) process. This ensures the user engaging a service is who they say they are. This process is often tedious for the user and expensive for the company.

The Solution: Moby is a solution which enables a mobility provider to skip the KYC process for each user reducing cost and improving user experience. It achieves this by providing tools to an identity issuing body (Government, DMV etc) to create user controlled Verifiable Claims. This allows a user to share the pre-screened KYC data backed by the issuing body.

Read more about the concepts from one of the team members: here

meshup — Motorized Emergency Safety Helper Utilizing P2P

Technology: IOTA

In short: Vehicles post information about accidents on the tangle so that drivers in the vicinity know about them.

Mobility context: There are still too many accidents on the roads and until autonomous driving is here there are still many things that we can do to make our roads safer. To achieve this we need our vehicles to communicate better with their environment.

The solution: Meshup is a protocol on top of IOTA to share accident warnings but could also be used to share other location based warnings in a decentralized and permissionless way.

In short: Putting homomorphic encrypted data on the tangle to preserve user privacy and comply with GDPR.

Mobility Context: Vehicles are becoming smarter. The more intelligent the vehicle, the more data it records and interprets. A large portion of this data is personal information. From driving routes to driving behaviours this data is the property of the user. In order to be GDPR compliant and maintain user privacy data must be handled in a manner that enables utility but preserves privacy.

The Solution: Homomorphic IOTA used homomorphic encryption, a unique way of encrypting data that still allows for operations to be made on it, to scramble personal data publish it on the IOTA Tangle. This encrypted data can be stored on the DLT and be operated on without breaching the privacy of the user. This enables for privacy to be preserved while allowing for a user to share and monetise their information.

In short: Augene addresses the so-called ‘range-anxiety’ felt by many drivers of electric vehicles.

Mobility context: Charge points are scarce -especially in rural areas- which is why many drivers of electric vehicles are afraid of getting stranded. A feeling much different from the freedom that was once associated with owning a car. In addition to this it’s probably safe to say that trust in car manufacturers is quite low at the moment — so why trust in the average range that car makers give you? There must be another way.

The solution: Augene addresses this by crowdsourcing -fetching information from many vehicles- a realistic picture of how far you can actually drive with your electric vehicle. Vehicles will put information on how far they were able to drive on the tangle. This platform is owned by no one and therefore every every thing can participate, regardless of brand, manufacturing or ownership.

In short: Securing an audit trail from a mobility drone for later analysis.

Mobility context: Vehicles are collecting more and more information. This information is being used to inform business logic and make payments. Ensuring the integrity of this data is paramount when dealing with flying vehicles that must adhere to strict regulations.

The solution: Throughout the course of a trip the vehicle will continuously publish data to the Tangle for realtime updates and analysis that can be later proven to be truthful.