Artificial Intelligence Doing More to Increase Driver Safety

Manufacturers have identified multiple ways artificial intelligence can be utilized on the roads and ultimately provide an increase in overall safety and comfort for drivers and passengers.

Claude Hochreutiner

March 4, 2022

3 Min Read
AI photo
Artificial intelligence’s integration into vehicle systems increasing.

Today, there are more and more vehicles on our roads, which creates an increased risk for accidents and associated injuries and deaths. Globally, about 1.3 million people die each year as a result of traffic crashes.

With artificial-intelligence technology paving pathways for many industries, transportation is beginning to utilize the benefits of AI to increase driver safety, driving and overall road safety. According to market research, the global artificial intelligence market size was valued at $51.08 billion in 2020 and is projected to reach $641.30 billion by 2028. Manufacturers have identified multiple ways AI can be utilized on the roads and ultimately provide an increase in overall safety and comfort for drivers and passengers.

Primary Use Cases for AI in Transportation

From cabin safety to road conditions and urban planning, AI’s ability to detect and record patterns can provide drivers with information needed to make accurate decisions. 

Primary use cases include: 

  • Cabin Safety

  • Crash Reconstruction

  • Driver Assistance (e.g., forward collision, lane departure)

  • Driver Monitoring (i.e., complacent/distracted driving)

  • Regulatory Compliance

  • Road Conditions/Winter Operations

  • Urban Planning

Traffic Management

AI in transportation utilizes closed-circuit TV cameras and sensors that can record valuable insights while on the roads to pick up on traffic conditions and  prepare drivers for delays on the way. This data is stored through cloud AI or Edge AI systems that create a quicker way to store traffic pattern recognition to predict the status of roadways. 

Edge AI technology is a method of faster computing and can enhance the overall performance of applications based on AI and increase the accuracy with its deep learning capabilities. 

Fleet Management

Logistics companies have begun to use AI to keep up with the increasing delivery demands across the world. Companies such as Amazon require 999 out of 1,000 deliveries to be made on time, which puts lots of pressure on drivers. AI-based technology plays a large factor in keeping drivers safe in high-stress environments, as well as making route corrections for efficiency. 

Researchers predict by 2023, the global transport AI market will reach $3.5 billion. The implementation of AI in logistics companies allows for the measurement of driver behavior and performance, assisting with human decision making, fleet visibility, predictive repair and maintenance, and predicting the most fuel-efficient routes. 

Claude Hochreutiner (002).jpeg

Claude Hochreutiner (002)

Increasing Public Safety

AI not only can detect objects, but also can differentiate between inanimate objects and people. The technology even has been useful in detecting pedestrian traffic. In major cities, pedestrian crossings can create a large potential for accidents.

Dashcams help allow the driver to see all sides of the vehicle as well as sensors detecting any objects around the vehicle. Today’s AI-based dashcams and sensors combine integrated technology to detect pedestrian walkways a few miles ahead to equip drivers with the best knowledge possible for navigating pedestrian-heavy cities.

The Future of AI

AI is transforming the automotive industry in more ways than one. 

More innovations are being created all the time with vehicle-to-vehicle connectivity being at the forefront, which allows for the sharing of vehicle information such as speed, location and any hazards on the road. Overall, AI is prioritizing safety and helping drivers manage busy roadways and be aware of hazards.

Claude Hochreutiner (pictured, above left) is director-Platform & Data Management for Smarter AI.

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