AI's future in transportation will likely be a mix of the good with the bad. Greater efficiency and driver safety could come at the cost of driving jobs, as just one example. There are many more scenarios that will color AI's future in transportation, so we had some industry professionals give their takes on what that future will look like. Here's what they said:
1. Tina Quigley, CEO of the Regional Transportation Commission of Southern Nevada (RTC)
“AI will continue to transform transportation to make it safer and more efficient, especially as the industry continues to develop autonomous cars. AI in transportation will not only be new technology, but it will accelerate the development of other technologies. As evident with Waycare, AI can analyze data and make determinations faster and with less manpower. As AI is deployed in more cars and traffic systems its continual machine learning capabilities will gain wisdom that will help accelerate the maturity of autonomous vehicles.”
2. Alex Shartsis, founder and CEO of Perfect Price
“We will look back on 2019 and wonder, “How did they do that without AI?” throughout the transport industry. Whether that’s driving a bus or car, routing assets, setting prices, or predicting the need for repairs – or even fixing them with AI-powered machinery — AI will be everywhere in transportation.”
3. Juan Rodriguez, co-founder and CEO of FlashParking
“The parking industry will heavily use AI. This technology will inform parkers of open spaces at the right price they are comfortable paying. Once located, parkers are guided to those open spots, thus reducing the time spent looking for parking. A combination of AI and cloud-based parking technologies will enable real-time broadcast of those open spaces and pricing ranges. Shortly, AI will categorize each vehicle entering a parking area which allows for seamlessly billing for the time spent with no parking barriers.”
4. Brendan P. Keegan, CEO of Merchants Fleet
“The future of AI is a truly connected and intelligent transportation system. Vehicles are already coming standard with connected technology, and most have over 200 data points they offer. When we reach the point of full V2X (Vehicle to Everything) technology, vehicles will be able to communicate with each other, pedestrians, and the infrastructure of smart cities. This will provide greater safety, more optimized traffic patterns, and more data for companies and individuals to make better-informed transportation decisions.”
5. Hongmo Je, CTO of StradVision
“It is inevitable that networks like 5G will play an integral role when it comes to AI in transportation, but we strongly believe that embedded systems will be complimented by networks, not the other way around. We forecast a hybrid of network and embedded AI platforms will become the norm, where high-level automotive functions are taken care of via the cloud and low-level functions requiring immediate reaction are taken care of by embedded AI systems. Think of how your GPS navigation system is providing you with an overview and you're executing the actual driving.”
6. Matt Hill, Chief Science Officer at Rekor Systems
“The future of AI in transportation is autonomous vehicles, efficient traffic management systems, and the elimination of outdated, inefficient static hardware systems. Autonomous vehicles will help reduce traffic, increase safety, and make vehicular transportation more accessible for all. Metropolitan cities can easily enforce traffic management practices that keep traffic and business flowing. Municipalities will move away from traditional hardware and utilize AI for traffic prediction, tolling, vehicle identification, and more. The possibilities AI brings to transportation are truly endless.”
7. Bryce Johnstone, Automotive Segment Director at Imagination Technologies
“Autonomous cars and trucks, self-organizing fleets, smart containers, robotaxis, and smart cities, are just some examples of the reality to come for the transportation industry thanks to AI. Currently, significant investment is being made into AI and this is only going to increase as vehicle manufactures aim to deliver Level 5 autonomous technology.”
8. John Barrus, Director of Business Development at Groq
“Autonomous technologies are under development for passenger vehicles, container ships, freight trucks and drones. The goal in many cases is to improve safety and reduce the cost of transporting goods and people. AI can also be used for traffic management, logistics, security and other aspects of business related to the transportation industry.”
9. Joseph Notaro, Vice President, WW Automotive Strategy & Business Development, ON Semiconductor
“The move towards more and more autonomous vehicles (going from Level 1 or 2 to Level 3, 4 and 5) means the car will be taking control from the driver. In other words, the driver functions will be replaced by electronic systems. The Car will need to know where it is going, understand its surroundings, anticipate or react to unknown dangers, make decisions and act on these decisions.
Image Sensors, Radar, Lidar, Ultrasonic, GNSS, V2X are technologies that can help the ‘operator’ (driver and / or vehicle brains / central processing units) understand the environment in which the car is operating, where the car and where it will go. These sensors can generate terabytes (TB) of data each day! It is important to be able to extract useful information from this data overload and then make very fast decisions and finally act on these decisions.”
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