Artificial Intelligence is the key to improving safety in the transportation industry!

Last week, e-scooter giant Lime announced plans to trial a new custom computer vision platform to detect dangerous behavior by users riding on sidewalks. Such safety mechanisms, capable of alerting cyclists to infractions or even slowing down, are much needed given a string of dangerous accidents that have cast aspersions on the popular mode of urban transport.

Artificial intelligence can play an important role not only in electric scooters. Fatal rail accidents occur with alarming frequency. And road traffic-related accidents remain the leading cause of premature death globally, especially among young people. Fortunately, solutions inspired by artificial intelligence and computer vision are emerging that are designed to improve safety across all modes of transportation—for pedestrians, cyclists, drivers, and passengers alike. Good news.

Electric Scooter on the Line of Fire

LimeVision, billed by its owner as the industry’s first artificial intelligence-enabled computer vision platform, is scheduled to launch It will be tested on nearly 400 electric scooters in Chicago and San Francisco next month, and in six cities by the end of the year. According to company president Joe Kraus, the camera-based technology underpinning LimeVision has the potential to outperform competing GPS platforms in other applications that improve scooter safety.

Such innovations are very welcome and may even be outdated for a mode of transportation that has recently been found to be more likely to cause accidents than motorcycles. According to a study conducted by the University of California, Los Angeles, there are 115 injuries for every 1 million e-scooter riders. Among motorcyclists, the figure dropped to 104 per million, compared with 15 for cyclists. Not only do scooters pose a safety hazard to riders, their proliferation on sidewalks also poses dire, potential dangers to the elderly, visually impaired and other vulnerable groups.

Roads and rails are equally reckless

As one of the newest transportation options on the block, it’s easy to blame scooters— — but overall, transportation could benefit from AI-driven safety upgrades. The risks of rail travel were on full display late last month when two fatal accidents involving Amtrak trains occurred within days of each other. The first occurred in Northern California, killing three people; the second occurred in Missouri, killing four people and seriously injuring about 150 others. Both accidents occurred at intersections without guardrails or lights, but implementing these safety measures can be extremely costly.

Road traffic is more harmful to human health. A recent United Nations report found that more than 1.3 million people die each year in road traffic crashes, making it the leading cause of premature death among people aged 5 to 29. According to a recent study, while road injuries and deaths have fallen slightly in rich countries over the past 30 years, this has been offset by a subsequent spike in rates in low- and middle-income countries (LMICs) - with 93% of deaths occurring. these improvements. As a result, the United Nations has pledged to halve this number by 2030.

Ensuring trains are safe and on the right track

Technology looks set to play an important role in achieving the goal of avoiding road and rail accidents, while human Intelligence is at the forefront of some of the most promising innovations. For example, the privately owned Brightline Railroad has proven itself to be the deadliest railroad in the United States, in part because its locomotives operate at speeds of 79 miles per hour in densely populated areas with populations unaccustomed to high-speed passenger rail; as a result, often Some people trespassed on the railway, and many people died.

Given that Brightline intends to expand its line to Orlando and beyond — and that installing fencing along the tracks could cost more than $200,000 per mile — another solution must be found. The company’s decision-makers believe they have succeeded by partnering with Remark Holdings, a technology and artificial intelligence company whose smart security platform is capable of detecting intruders and identifying orbital anomalies from a distance. This innovation should help Reduce accident rates.

The road transport revolution has begun

The road transport sector is also enjoying similar AI safety improvements. While most media headlines focus on how artificial intelligence will enable self-driving cars, technology companies are already targeting many low-hanging fruit. For example, machine vision can monitor the health and performance of vehicle hardware, optimize maintenance, and minimize accidents caused by mechanical failure. So-called "collaborative robots" can speed up the manufacturing process, while AI, 5G and thermal imaging technology can work together to detect potential threats and share information between different vehicles.

In addition, traffic management has already benefited greatly from artificial intelligence cameras installed at intersections, with 155,000 cameras expected to be installed by 2025. Meanwhile, Australian startup Acusensus launched the HeadsUp roadside camera network in 2019. The project was able to identify drivers' risky behavior, reducing mobile phone use by 80% and corresponding traffic accidents by 22%, and winning awards in the process. Given the recent passage of the US$1.2 trillion Infrastructure Investment and Jobs Act (IIJA), the time is ripe for an overhaul of road safety.

With artificial intelligence, risk-free transportation could become a reality

While a world without traffic accidents may seem like a pipe dream, Advances in technology could make it a viable reality in the foreseeable future. In fact, MIT research even speculates that AI could use historical data to predict future events with reasonable accuracy, thereby predicting accidents before they occur and allowing users to take appropriate actions to avoid them. With such incredible opportunities at our disposal, it’s time to fully incorporate artificial intelligence and make traffic-related injuries and deaths a thing of the past.

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