1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2024
Optimal Chaining of Vehicle Plans with Time Windows
David Fiedler, Fabio V. Difonzo, Jan Mrkos
For solving problems from the domain of Mobility-on-Demand (MoD), we often need to connect vehicle plans into plans spanning longer time, a process we call plan chaining. As we sho…
cs.AI2023
Large-scale Ridesharing DARP Instances Based on Real Travel Demand
David Fiedler, Jan Mrkos
Accurately predicting the real-life performance of algorithms solving the Dial-a-Ride Problem (DARP) in the context of Mobility on Demand (MoD) systems with ridesharing requires ev…
cs.AI2016★ 1 cited
Liftago On-Demand Transport Dataset and Market Formation Algorithm Based on Machine Learning
Jan Mrkos, Jan Drchal, Malcolm Egan +1
This document serves as a technical report for the analysis of on-demand transport dataset. Moreover we show how the dataset can be used to develop a market formation algorithm bas…