A critical question is how to predict and manage the emergent properties of a transportation system that relies on increasing degrees of automation and artificial intelligence. Connectivity between vehicles on the roadway can enhance safety, but it also introduces non-local information flows that can change the dynamics of the flow of traffic. On the operational side, mobility-as-a-service forms are pushing the limits of real-time, demand responsive vehicle scheduling algorithms that are central to sharing a large fleet of automated vehicles. On the transportation management side, competing fleets of AVs have potential to destabilize emergent traffic patterns if they are too aggressive and do not cooperate. This workshop aims to bring together the essential communities from mathematics and engineering to address these forthcoming issues central to our future transportation systems. It will bring together the operations research experts developing the next generation of dynamic fleet dispatching and optimization algorithms vital to mobility on demand services, the transportation engineers responsible for planning the future of our public and private transportation systems, and the modelers responsible for predicting new congestion dynamics at local and city scales. The workshop will also explore how these systems will operate in city, suburb, and rural contexts to support mobility needs for people and goods.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
(Institut National de Recherche en Informatique Automatique (INRIA))
Hani Mahmassani (Northwestern University)
Monica Menendez (New York University)
Samitha Samaranayake (Cornell University)
Maria Gracia Speranza (Università di Brescia)