Reinventing urban transportation and mobility
By using a combination of busses and shuttles, the RITMO project at University of Michigan aims to improve public transportation by designing and operating a new generation of on-demand urban transit systems. Read more: https://record.umich.edu/articles/nor...
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RITMO carries basic research in data science, from descriptive to predictive and prescriptive analytics, spanning research in data mining, machine learning, optimization, computational economics, marketing, and urban planning. RITMO also aims at deploying its results on significant case studies through the development of mobile applications and high-performance analytics over massive data sets. The project is partnering with the UM Parking and Transportation Services, the UM Information and Technology Services,, the UM advanced research computing technology services for the deployment of our technologies, and the Mobility Transformation Center. A first deployment on the UM campus should take place in 2017.
The project is led by Pascal Van Hentenryck, Seth Bonder Collegiate Professor of Industrial and Operations Engineering
https://ioe.engin.umich.edu/people/pa...
Read the paper:
“Community-Based Trip Sharing for Urban Commuting” The Thirty-Second AAAI Conference
on Artificial Intelligence (2018)
https://aaai.org/ocs/index.php/AAAI/A...
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