AI is playing an increasingly important role in the domain of transportation planning. There are several reasons for this, including that AI approaches can scale up to deal with large and complex problem spaces. Additionally, AI techniques can be used to find solutions that satisfy constraints, such as minimizing travel time or distance.
In this article, we will briefly explore some of the key ways AI is used for transportation planning. We will begin by looking at how AI can solve complex problems. Next, we will discuss how AI can predict traffic patterns. Finally, we will explore how AI can help humans in transportation planning.
One way AI can be used to address the problem of efficient transportation planning is through the use of constraint satisfaction techniques. These methods can be used to find solutions that satisfy a set of constraints, such as finding a route that visits a set of locations while minimizing travel time. Another AI technique that can be used for transportation planning is optimization. This can be used to find the best route given a set of objectives, such as minimizing travel time or distance.
Another area where AI can be used for transportation planning is in predicting traffic patterns. This information can be used to make decisions about routing, as well as to warn drivers of potential delays. AI methods such as neural networks and support vector machines effectively learn complex patterns from data, making them well suited for this task.
Finally, AI can also be used to help humans in the transportation planning process. For example, decision support systems can be used to provide advice to planners about which routes are most likely to be successful. Additionally, interactive systems can be used to allow users to input their preferences and constraints and receive customized route recommendations.
In summary, AI has a lot to offer in transportation planning. It can solve complex problems, predict traffic patterns, and provide decision support. Additionally, AI can help humans plan by providing customized route recommendations.
References:
https://www.digitaltrends.com/cool-tech/artificial-intelligence-transportation-planning/
https://www.inc.com/john-boitnott/how-ai-is-changing-the-future-of-transportation.html
https://towardsdatascience.com/introduction-to-constraint-satisfaction-problems-79a7429dce02
https://towardsdatascience.com/types-of-optimization-algorithms-used-in-machine-learning-102ad3f3e2c0
https://www.sciencedirect.com/science/article/pii/S1877050916311462
https://www.oreilly.com/ideas/how-ai-can-augment-human-intelligence-in-urban-planning