Eliminating delayed operations by analyzing historical data to identify patterns in parts usage.
Broadening business potential by anticipating future demand to mobilize fleet and workforce accordingly.
Strategizing routes based on job terrain and previous driver guidance using statistical analysis.
Leveraging data mining techniques to automatically create inspection based on vehicle age and job terrain.
The emergence of collision avoidance system coupled with a connected intelligence platform will be groundbreaking in minimizing accidents by leveraging front-facing and in-vehicle sensors to map the physical surroundings and issue a critical warning or perform predefined actions based on the severity. Also, with an advanced awareness detection system that uses algorithms and sensitivity controls to detect driver drowsiness and under-influence driving, there will be an increased opportunity for establishing safer roads.
Apart from the sensing equipment built within the autonomous fleet, advanced safety systems will increase road safety.
AVs can be employed to the fullest potential by constantly analyzing fleet productivity and identifying new opportunities.
Autonomous dispatch will be a game changer in assigning AVs to daily jobs with reduced response time and minimal error.
To increase operational efficiency of AVs, vehicle prognostics will be vital in assessing vehicle health and predict failure.