Real-time Approximate Routing for Smart Transit Systems
Abstract
The advent of ride-hailing platforms such as Lyft and Uber has revolutionized urban mobility in the past decade. Given their increasingly important role in today's society, recent years have seen growing interest in integrating these services with mass transit options, in order to leverage the on-demand and flexible nature of the former, with the sustainability and cost-effectiveness of the latter. Our work explores a set of operational questions that are critical to the success of any such integrated marketplace: Given a set of trip requests, and the ability to utilize ride-hailing services, which mass-transit routes should the transit agency operate? How frequently should it operate each route? And how can ride-hailing trips be used to both help connect passengers to these routes, and also cover trips which are not efficiently served by mass transit?
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 22, 2021
- Source ID
- 10.1145/3543516.3460096
Entities
People
- Chamsi Hssaine
- Noémie Périvier
- Samitha Samaranayake
- Siddhartha Banerjee
Organizations
- Columbia University
- Cornell University
- National Science Foundation
- United States Army Research Laboratory