Concept:
Control center concept for long haul autonomous vehicles' journeys (based on existing control centers, regulations and standards, UX with authorities, first responders, drivers, fleet owners and predicted deviation scenarios)
Roles:
| Service design | Services blueprint |
Deliverables:
- Autonomous vehicle control center concept (based on UX research)
- Service blueprint
- Readiness assessment
Covered truck journey scope was defined based on the principle that initial autonomous vehicles scope shall be similar to airspace industry standards: auto pilot mode that covers most of the journey but requires human interaction for taking off, landing, pre and post arrangements.
Research was performed to anticipate deviation scenarios, attention and decision points during truck journey between logistic hubs for long haul deliveries (after truck departure and prior to arrival, therefore not considering pre-departure and after arrival yard management, maintenance and checklists).
Engagement (in depth interviews) was performed with diversified actors: regulators, main shipping and logistic companies, truck drivers and benchmarks (existing control centers for flights, trains, power plants, etc).
Objetive was to identify main current deviations and attention points (tripulantes truck) and foreseen concerns with additional topics to be covered with the upcoming autonomous vehicles when human decision will be removed from vehicle interior.
Based on all identified scenarios, a service blueprint was created to portray service needs to address main deviations. Covered points
- What triggers / alerts about a deviation
- Which communication channels can be used to alert about it
- What is the designed services for a control center to handle these situations
- Which interfaces will be required
- What is the likelihood to autonomously manage these scenarios
A more detailed view was delivered for each scenario, including:
- Frequency and severity for the occurrence
- Market desirability, competition for given support (to be provided the the conceptualized control center)
- Company readiness to take over given services (based on mapping of current competences)
- Service times and process to handle specific situations (base for further operational dimensioning for the control center activities)
Based on the established connections, a stakeholder ecosystem map was design to represent main needed interfaces for the control center.
A high level control center operational dimensioning was drafted to provide an estimative of events triggered and required structure to cover different logistic operation sizes.
Based on a desirability / competition matrix and market readiness, suggested services were pointed out as potential entry points to start servicing logistic markets, enabling a go-to-market path for autonomous vehicles.
