About me

Work Experience

• Researcher Artificial Intelligence Center, CTU, Prague
  Prague, Czech Republic · Sep 2016 – Aug 2025
• Consultant grid.online
  Prague, Czech Republic · Oct 2026 – present
• Consultant Citya
  Prague, Czech Republic · Jul 2022 – present
• Developer RTSoft
  Pilsen, Czech Republic · Jun 2014 – Aug 2016
• Developer ANTStudio
  Pilsen, Czech Republic · Nov 2013 – May 2014

Education

• PhD in Computer Science Faculty of Electrical Engineering, CTU in Prague
  Prague, Czech Republic · 2017 – 2024
  • Advisor: Michal Pěchouček
  • Advisor specialists: Michal Čáp, Michal Jakob
  • Thesis: Large-scale Mobility-on-demand: Simulation Studies and Optimization
• MSc in Intelligent Computer Systems Faculty of Applied Sciences, University of West Bohemia
  Pilsen, Czech Republic · 2014 – 2016
  • Thesis: Use of Multiagent System Methods for Implementation of Artificial Intelligence in Real-time Strategy Games, supervisor: Ondřej Rohlík
• BSc in Computer Science Faculty of Applied Sciences, University of West Bohemia
  Pilsen, Czech Republic · 2010 – 2014
  • Thesis: Managing Contacts on Android Platform, supervisor: Ladislav Pešička

Research Projects

• PhD Thesis project Large-scale Mobility-on-demand: Simulation Studies and Optimization
  CTU in Prague · 2017 – 2024
  • This thesis focuses on improving the large-scale Mobility-on-demand (MOD) systems. Simulation studies are used to better understand MoD systems and answer related research questions. Based on the insights gained from the simulations, we propose a new optimization method for optimal plan chaining. This new method has the potential to improve the efficiency of various MoD-related problems, which we demonstrate with the example of vehicle dispatching (Dial-a-ride problem).
  • Currently, the thesis is submitted and waiting for defense. The last manuscript from the thesis focused on optimal plan chaining is in review in Transportation Research Part C: Emerging Technologies. Finally, a subsequent manuscript focused on the plan chaining application is in review in Nature Computational Science
• Fulbright project Designing Networks for Mass Transit Systems Supplemented by Mobility-on-Demand Services
  Cornell University · Sep 2025 – Jun 2026
  • Extending mass transit network design so that the evaluation of a network also covers a mobility-on-demand (MoD) service, i.e. the demand not served by the transit lines is served by ridesharing vehicles and their operation cost enters the design objective.
  • Areas with high demand are served by transit lines, low-demand areas and the first/last mile by MoD, so that the mix can be designed automatically from historical travel demand instead of by expert judgement.
  • Joint work with the group of Prof. Samitha Samaranayake at Cornell University, combining our experience with large-scale dial-a-ride optimization with their transit network design expertise.
• Bell Textron Inc. Multi-Modal Traveler Modeling Project Feasibility of eVTOL Transport in Urban Environments
  CTU in Prague · 2021
  • This project studied the viability of using electric vertical take-off and landing travel system for urban mobility.
  • Our transportation team defined the goals and requirements with Bell Textron Inc. and developed a simulation model to evaluate the feasibility of the eVTOL system.
  • I focused on the simulation model and optimal eVTOL station positioning.
  • We delivered the codebase and summarized our findings in a report.

Internationalization

• Fulbright scholar, ten-month research stay Cornell University
  Ithaca, NY, USA · Sep 2025 – Jun 2026
  • Project: Designing Networks for Mass Transit Systems Supplemented by Mobility-on-Demand Services
  • Hosted by the research group of Prof. Samitha Samaranayake
• Three months internship related to mobility-on-demand Delft University of Technology
  Delft, Neatherlands · 2018
  • At the Department of Cognitive Robotics, Faculty of Mechanical Engineering (3ME)
  • Advisors: Michal Čáp, Javier Alonso-Mora

Publications

Published

• Fiedler, D., & Mrkos, J. (2023). Large-Scale Ridesharing DARP Instances Based on Real Travel Demand. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2750–2757). https://doi.org/10.1109/ITSC57777.2023.10422146
• Fiedler, D., Čertický, M., Alonso-Mora, J., Pěchouček, M., & Čáp, M. (2022). Large-Scale Online Ridesharing: The Effect of Assignment Optimality on System Performance. Journal of Intelligent Transportation Systems, 0(0), 1–22. https://doi.org/10.1080/15472450.2022.2121651 (citations: 1, 0, 1)
• Fiedler, D., Čáp, M., Nykl, J., & Žilecký, P. (2022). Map Matching Algorithm for Large-scale Datasets. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence Proceedings of the 14th International Conference on Agents and Artificial Intelligence (pp. 500–508). https://www.scitepress.org/Link.aspx?doi=10.5220/0010849100003116 (citations: 3, 0, 3)
• Schaefer, M., Čáp, M., Fiedler, D., & Vokřínek, J. (2021). On-Demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence (pp. 907–915). https://www.scitepress.org/Link.aspx?doi=10.5220/0010261009070915
• Fiedler, D., Čertický, M., Alonso-Mora, J., & Čáp, M. (2018). The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (pp. 1173–1178). https://doi.org/10.1109/ITSC.2018.8569451 (citations: 14, 2, 9)
• Fiedler, D., Čáp, M., & Čertický, M. (2017). Impact of Mobility-on-Demand on Traffic Congestion: Simulation-based Study. In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1–6). https://doi.org/10.1109/ITSC.2017.8317830 (citations: 12, 1, 5)

In Review

• Fiedler, D., Difonzo, F. V., & Mrkos, J. (2024). Optimal Chaining of Vehicle Plans with Time Windows. https://doi.org/10.48550/arXiv.2401.02873

* The citation format is: (citations: WoS IF, WoS, other), where the numbers are citations from journals indexed in the WoS with impact factor (WoS IF), citations from other publications indexed in the WoS (WoS), and citations from other sources (other).

Open Source Software

• Maintainer, main contributor DARP Instances
  PostgreSQL, Python · 2023 – present
  • Instances for large-scale ridesharing (DARP) problems together with the code for generating them from open data.
  • Instances combine data from OpenStreetMap, municipality data, and Uber Movement.
  • Three areas are covered: New York City, Chicago, and Washington, D.C.
• Maintainer, main contributor DARP Benchmark
  C++, Python · 2019 – present
  • Framework for comparing the performance of DARP solvers. Can be used also for similar problems, e.g., fleet sizing.
  • Ultra-fast Insertion Heuristic is implemented as a baseline.
• Maintainer, main contributor SiMoD
  Java, Python · 2016 – present
  • Simulation of Mobility-on-Demand Systems (SiMoD) is a software tool for simulating the operation of mobility-on-demand systems.
  • The tool consists of an event-based simulation in Java and supporting Python scripts for input, output, and analysis.
  • The simulation contains implementations of various algorithms for dispatching, rebalancing. There is also a station positioning algorithm in the Python part.
• Maintainer, main contributor Line planning
  Python · 2025 – present
  • Pipeline for MoD-aware public transort line selection.
• Maintainer, main contributor Road Graph Tool
  Python, PostgreSQL · 2023 – present
  • Tool for processing OpenStreetMap data and other sources into road graphs and instaces for various transportation problems.
  • The tool is database first, Python is used for automation only
• Maintainer, contributor Shortest Distances
  C++ · 2019 – present
  • Tool and library for fast computation of shortest distances in road networks.
  • Various methods and datastructures are implemented with different trade-offs between memory usage and speed.
  • The tool consists of a preprocesor for creating the datastructures and a query tool for computing the distances.
  • There is a Java binding for the library.
• Maintainer, contributor Agentpolis
  Java, Python · 2016 – present
  • Event-based transportation simulation framework.
  • Main dependency of SiMoD and similar projects
  • Versatile and highly configurable.
• Maintainer, main contributor Info plugin for Maven
  Java · 2024 – present
  • Maven plugin for listing dependencies cached in the local repository.
  • Available at Maven Central.

Awards

• 1st Place Taxify Challenge
  Online · 2018

  We developed the best dispatching algorithm for ride-hailing services among all teams in the international competition.

• 3rd Place Simpleway Transportation Hackathon
  Paralelní Polis · 2017

  Our idea for this hackathon was to create a system for mobility-on-demand with transfers. We have developed a prototype dispatching algorithm that was able to dramatically reduce the number of vehicles needed compared to the system without transfers.

• 1st Place Vision of Mobility in Prague 2030
  Online · 2017

  This competition was organized by the Prague Institute of Planning and Development. We developed a complete vision of future mobility in Prague, including mobility-on-demand, ridesharing, dynamic pricing for parking, or congestion pricing.

Languages & Tools

Languages

• ●●●●● Czech, native
• ●●●●○ English, fluent
• ●○○○○ French, basic communication skills

Programming languages

• ●●●●○ Python
• ●●●●○ Java
• ●●●●○ C++
• ●●○○○ PHP
• ●●○○○ JavaScript
• ●●○○○ C#

Tools

• Database: PostgreSQL, PostGIS, MySQL, SQLite
• GIS: PostGIS, QGIS, Overpass
• LLM: Workflows, Sandboxes, Harness, Browser automation
• Front-end: HTML, CSS, Bootstrap, JavaFX
• Other: Regex, Git, LaTeX, Gurobi, Slurm, D2, C4