5 citations · 10 across the 13 of their papers we have counts for
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Data-driven assessment for the predictability of On-Demand Responsive Transit
Pierfrancesco Leonardi, Vincenza Torrisi, Andrea Araldo +1
By adapting bus routes to users' requests, Demand-Responsive Transit (DRT) can serve low-demand areas more efficiently than conventional fixed-line buses. However, a main barrier t…
Restoring Accessibility During Urban Rail Disruptions via Bus Network Redesign
Zihao Guo, Andrea Araldo, Mounîm A. El Yacoubi
In broad terms, accessibility measures opportunities reachable (such as shops, residents, etc.) within a given time frame. Urban Rail Transit (URT) plays a crucial role in providin…
Public Transport Network Design for Equality of Accessibility via Message Passing Neural Networks and Reinforcement Learning
Duo Wang, Maximilien Chau, Andrea Araldo
Designing Public Transport (PT) networks able to satisfy mobility needs of people is essential to reduce the number of individual vehicles on the road, and thus pollution and conge…
Online design of dynamic networks
Duo Wang, Andrea Araldo, Mounim El Yacoubi
Designing a network (e.g., a telecommunication or transport network) is mainly done offline, in a planning phase, prior to the operation of the network. On the other hand, a massiv…
Joint Design of Conventional Public Transport Network and Mobility on Demand
Xiaoyi Wu, Nisrine Mouhrim, Andrea Araldo +3
Conventional Public Transport (PT) is based on fixed lines, running with routes and schedules determined a-priori. In low-demand areas, conventional PT is inefficient. Therein, Mob…