6 citations · 10 across the 4 of their papers we have counts for
5 papers
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…
Large-scale Online Ridesharing: The Effect of Assignment Optimality on System Performance
David Fiedler, Michal Čertický, Javier Alonso-Mora +2
Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet…
Map Matching Algorithm for Large-scale Datasets
David Fiedler, Michal Čáp, Jan Nykl +2
GPS receivers embedded in cell phones and connected vehicles generate a series of location measurements that can be used for various analytical purposes. A common pre-processing st…
The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague
Davide Fiedler, Michal Čertický, Javier Alonso-Mora +1
In densely populated-cities, the use of private cars for personal transportation is unsustainable, due to high parking and road capacity requirements. The mobility-on-demand system…
Impact of Mobility-on-Demand on Traffic Congestion: Simulation-based Study
David Fiedler, Michal Čáp, Michal Čertický
The increasing use of private vehicles for transportation in cities results in a growing demand for parking space and road network capacity. In many densely populated urban areas,…