connected vehicles increases . This data helps manage battery health , maintenance , and driver behaviour , but it ’ s too much for humans to analyse manually .
Eden pointed out that there ’ s a need for better predictive modelling , as there isn ’ t enough historical data to tailor these models to specific vehicle types effectively .
Furthermore , the rise of connected vehicles brings increased cyber and data privacy risks . Evolving regulations will be necessary to protect sensitive data about vehicles and drivers , ensuring that this data is collected and used securely .
Insights from the Q & A Session
During the Q & A session , several critical points were raised , providing valuable insights .
Q : How close are we to achieving the full potential of connected vehicles ?
A : “ I ’ m yet to see a vehicle on the road that has delivered on the proposed benefits , and efficiencies connected vehicles can unlock ,
but I don ’ t think we ’ re far off from a technology perspective . However , it could still be five years before we see significant advancements in vehicles interacting with other vehicles , traffic systems and third-party businesses . I expect that manufacturers will start building telematics into vehicles soon .”
Q : What are your thoughts on the current state of autonomous vehicles ?
A : “ I was completely expecting autonomous vehicles to be here by now , but they ’ ve got their own hurdles to cross . It makes sense to know where the vehicle is , how many kilometres it has , and if it has any faults . The technology for this is available , whether it ’ s from an independent telematics provider or built into the vehicle .”
Q : How do you view the impact of AI on the fleet industry ?
A : “ AI is just starting to show its potential in the fleet sector , and companies with access to extensive and structured vehicle operations and maintenance data sets are leading this space . As AI technology advances , the automotive industry
24 ISSUE 48 AUGUST 2024 / WWW . AFMA . ORG . AU