Artificial intelligence (AI) is permeating nearly every industry, from entertainment to warfare. Recently, thanks to a company called Hayden AI, the technology has even found its way into the realm of public transportation.
In this article, we explore AI’s place in public transportation and discuss how Hayden AI is leveraging the powerful technology to disrupt the traffic monitoring industry. Keep reading to learn more.
Ways AI Is Being Used in Public Transportation
With its many benefits, artificial intelligence is revolutionizing public transportation, especially in regard to safety and convenience. Here are just a few ways the technology is being used:
Route and Schedule Planning: Using historical demand data, AI algorithms can accurately predict future demand levels and schedule bus services accordingly. For example, if one bus route experiences low demand on Tuesdays, while another experiences high demand, AI can redirect buses to the route with more traffic.
Predictive Maintenance: When AI is implemented into public transportation vehicles like buses, it can be used to effectively predict and identify maintenance requirements before any major issues arise. This not only helps transportation companies save time and money, it also ensures vehicles remain on the road.
Increased Safety: When crimes take place on public transport, identifying the culprits and preventing them from using buses in the future can be challenging. However, with AI facial recognition technology, criminals can be easily identified, tracked, and reported to authorities.
Improved Accessibility: AI technology can also be used to improve accessibility options on public transport. For instance, voice recognition and computer vision technology can allow people with visual or hearing impairments to better communicate with bus drivers or circumvent the requirement to interact with anyone during their ride.
What Technology Is Used for Public Transport AI
Artificial intelligence covers a broad spectrum of technologies. So, what exactly powers the above capabilities?
Computer Vision: Computer vision is a type of artificial intelligence concerned with allowing computers to perceive visual imagery like a human. In other words, computer vision aims to give computers the ability to identify and discern between objects in images or viewed through a live camera. In terms of public transport, this can be used to help guide visually impaired customers onto buses and identify threats on the road.
Natural Language Processing (NLP): Natural language processing (NLP) is the technology behind popular AI chatbots like ChatGPT. NLP is used to analyze large swaths of conversational and text-based data to understand how humans write and communicate in order to produce an accurate replication. It can be used for generating real-time demand, traffic, maintenance reports, and schedules.
Machine Learning: Machine learning is where algorithms are trained to solve problems autonomously through a process of continuous learning. As a result, machine learning can be used to analyze real-time demand and maintenance issues and notify the relevant parties of its findings.
Case Study: Hayden AI
A common issue with public transportation is other drivers unlawfully driving and parking in bus lanes and stops. When this happens, bus drivers typically have cameras they can use to capture and report the cars. However, this requires bus drivers to remove their hand from the steering wheel, adding to the burden of their driving duties and potentially causing a hazard.
In response to this issue, the CEO and co-founder of Hayden AI, Chris Carson, decided to build an automated vehicle detection system using AI technology. With a computer vision-driven camera and machine learning, Hayden AI’s system is able to track and monitor traffic in front of the bus, also taking note of lanes and bus stops. As a result, when Hayden AI identifies that a vehicle is unlawfully parked in a bus line, it snaps a photo so the driver can be reported.
Hayden AI is not limited to use in buses; it can also be used in emergency vehicles, street sweepers, garbage trucks, school buses, and any transport in the public domain. Of course, being monitored is a concern of many individuals, but only potential traffic violations are saved, according to the company.
AI in Civil Engineering
Hayden AI serves as an excellent example of how artificial intelligence can be used in city planning and civil engineering, ensuring traffic laws are followed and bus drivers can drive safely. With this type of technology becoming more commonplace, it’s likely that AI will have a greater role in city planning, especially when it comes to predicting traffic and public transport demand.
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