Wayne State Researchers Use AI to Bring Micro-transit to Hourly Workers

  • Date: 02/01/2021

“With the rise of artificial intelligence and increasingly available smart mobility data, the vision of this research project is to create a dynamic routing-prediction system based on learning the hourly mobility patterns between jobs and housing,” says Dongxiao Zhu, associate professor of computer science in the College of Engineering at Wayne State, and the project’s principal investigator.

Open Article

We’d love to hear from you!

Have more mobility news that we should be reading and sharing? Let us know! Reach out to Sage Kashner (kashner@ctaa.org).

Skip to toolbar