The lack of human drivers to intervene in emergencies.

The potential for hacking and cyberattacks.

The inability of autonomous trucks to navigate complex traffic conditions.

The high cost of implementing autonomous truck technology.

Increased road safety due to reduced human error.

Improved fuel efficiency and reduced emissions.

Lower transportation costs and increased productivity.

All of the above.

The high cost of sensors and other hardware components.

The complexity of programming and training autonomous truck systems.

The lack of clear regulations and standards for autonomous truck operation.

All of the above.

By implementing rigorous testing and validation procedures.

By developing comprehensive cybersecurity measures to prevent hacking.

By establishing clear regulations and standards for autonomous truck operation.

All of the above.

Retraining truck drivers for new roles in the transportation industry.

Providing financial assistance to truck drivers affected by job loss.

Investing in infrastructure projects to create new jobs.

All of the above.

The presence of pedestrians and cyclists.

The complexity of traffic intersections and signals.

The narrowness of urban streets.

All of the above.

By optimizing fuel efficiency through route planning and platooning.

By enabling the use of alternative fuels and electric powertrains.

By reducing traffic congestion and idling time.

All of the above.

Improved traffic flow and reduced congestion.

Increased road capacity and reduced travel times.

Enhanced coordination between vehicles and infrastructure.

All of the above.

The high upfront cost of autonomous truck technology.

The need for specialized training and maintenance for autonomous trucks.

The uncertainty surrounding regulations and liability issues.

All of the above.

By enabling continuous operation without driver breaks.

By optimizing routing and scheduling to minimize travel time.

By reducing the risk of accidents and breakdowns.

All of the above.

The complexity and interconnectedness of autonomous truck components.

The need for real-time data processing and decision-making.

The potential for sensor failures and malfunctions.

All of the above.

By reducing human error, a major cause of accidents.

By enhancing situational awareness through sensors and data analysis.

By enabling faster reaction times to hazards and emergencies.

All of the above.

The privacy implications of collecting and storing vast amounts of data.

The security risks associated with data transmission and storage.

The potential for data manipulation and misuse.

All of the above.

By enabling platooning, where multiple trucks travel closely together.

By optimizing traffic flow through coordination with other vehicles and infrastructure.

By reducing the need for human drivers, leading to fewer vehicles on the road.

All of the above.

The need for extensive testing and validation to ensure safety and reliability.

The complexity of developing algorithms for autonomous navigation and decision-making.

The high cost of sensors and other hardware components.

All of the above.