Transport AI 2024: defining AI
Much is currently happening in the AI space as a plethora of chatbots, predictive text and natural language tools become available to the public for the first time. Many of these tools are already used by transport and planning professionals in their daily workflows – and many more efficiency-minded services are in the pipeline.
Specifically in the transport space, however, many tools and services that are branded AI have been around for years. For example, ANPR has been being used for decades as part of road management, speed enforcement and red light running. Machine vision image processing has also been in existence for years, with smart ITS camera managing image processing with little human input.
Asset monitoring using lidar, machine vision and other sensors has been in existence more than 10 years – in the US it’s a federal mandate to record the condition of every road every five years.
For the inaugural Transport AI event, we want to be clear on our interpretation of AI. Our suggestions are that it must include some element of machine learning, such that the more data that is available the more accurate the results, or algorithms that actively change based on specific conditions.
Therefore, this webinar will host a debate that establishes what AI is, after which we can determine – based on that definition – where AI is being used, as well as differentiate AI from any other programming application.
Much is currently happening in the AI space as a plethora of chatbots, predictive text and natural language tools become available to the public for the first time. Many of these tools are already used by transport and planning professionals in their daily workflows – and many more efficiency-minded services are in the pipeline.
Specifically in the transport space, however, many tools and services that are branded AI have been around for years. For example, ANPR has been being used for decades as part of road management, speed enforcement and red light running. Machine vision image processing has also been in existence for years, with smart ITS camera managing image processing with little human input.
Asset monitoring using lidar, machine vision and other sensors has been in existence more than 10 years – in the US it’s a federal mandate to record the condition of every road every five years.
For the inaugural Transport AI event, we want to be clear on our interpretation of AI. Our suggestions are that it must include some element of machine learning, such that the more data that is available the more accurate the results, or algorithms that actively change based on specific conditions.
Therefore, this webinar will host a debate that establishes what AI is, after which we can determine – based on that definition – where AI is being used, as well as differentiate AI from any other programming application.
