Felix Jung
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Felix Jung has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
Debsankha Manik
Institute of Theoretical Physics and Center for Advancing Electronics Dresden (cfaed) Chair of Network Dynamics TUD Dresden University of Technology 01062 Dresden Germany
2 shared publicationsMalte Schröder
Chair of Network Dynamics, Center for Advancing Electronics Dresden (cfaed) and Institute of Theoretical Physics, TUD Dresden University of Technology, Dresden, Germany
1 shared publicationMarc Timme
Chair of Network Dynamics, Center for Advancing Electronics Dresden (cfaed) and Institute of Theoretical Physics, TUD Dresden University of Technology, Dresden, Germany
1 shared publication
Latest Publications
- Open Access
- 6 May 2024
- Published by The Open Journal in Journal of Open Source Software
- Vol. 9 (97) , 6241
RidePy: A fast and modular framework for simulating ridepooling systems
RidePy provides fast computer simulations of on-demand mobility modes such as ridehailing or ridepooling, enabling both theoretical research into on-demand transit systems and the estimation of their operational properties in realistic scenarios. It strongly focuses on modeling the mobility service itself, rather than its customers or the environment, enabling the user to use any mobility demand model in conjunction with RidePy. This makes it possible to use RidePy in a broad range of scenarios. Through a combination of Python, Cython, and C++, it offers ease of use at high performance. Its modular design makes customization easy, while the included modules allow for a quick start.
- 6 May 2024
- Published by The Open Journal in Journal of Open Source Software
- Vol. 9 (97) , 6241
Open AccessRidePy: A fast and modular framework for simulating ridepooling systems
RidePy provides fast computer simulations of on-demand mobility modes such as ridehailing or ridepooling, enabling both theoretical research into on-demand transit systems and the estimation of their operational properties in realistic scenarios. It strongly focuses on modeling the mobility service itself, rather than its customers or the environment, enabling the user to use any mobility demand model in conjunction with RidePy. This makes it possible to use RidePy in a broad range of scenarios. Through a combination of Python, Cython, and C++, it offers ease of use at high performance. Its modular design makes customization easy, while the included modules allow for a quick start.
- Open Access
- 11 December 2023
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 18 (12) , e0295692
Exponential adoption of battery electric cars
The adoption of battery electric vehicles (BEVs) may significantly reduce greenhouse gas emissions caused by road transport. However, there is wide disagreement as to how soon battery electric vehicles will play a major role in overall transportation. Focusing on battery electric passenger cars, we analyze BEV adoption across 17 individual countries, Europe, and the World, and consistently find exponential growth trends. Modeling-based estimates of future adoption given past trends suggest system-wide adoption substantially faster than typical economic analyses have proposed so far. For instance, we estimate the majority of passenger cars in Europe to be electric by about 2031. Within regions, the predicted times of mass adoption are largely insensitive to model details. Despite significant differences in current electric fleet sizes across regions, their growth rates consistently indicate fast doubling times of approximately 15 months, hinting at radical economic and infrastructural consequences in the near future.
- 11 December 2023
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 18 (12) , e0295692
Open AccessExponential adoption of battery electric cars
The adoption of battery electric vehicles (BEVs) may significantly reduce greenhouse gas emissions caused by road transport. However, there is wide disagreement as to how soon battery electric vehicles will play a major role in overall transportation. Focusing on battery electric passenger cars, we analyze BEV adoption across 17 individual countries, Europe, and the World, and consistently find exponential growth trends. Modeling-based estimates of future adoption given past trends suggest system-wide adoption substantially faster than typical economic analyses have proposed so far. For instance, we estimate the majority of passenger cars in Europe to be electric by about 2031. Within regions, the predicted times of mass adoption are largely insensitive to model details. Despite significant differences in current electric fleet sizes across regions, their growth rates consistently indicate fast doubling times of approximately 15 months, hinting at radical economic and infrastructural consequences in the near future.
- Open Access
RidePy: A fast and modular framework for simulating ridepooling systems
RidePy enables fast computer simulations of on-demand mobility modes such as ridehailing or ridepooling. It strongly focuses on modeling the mobility service itself, rather than its customers or the environment. Through a combination of Python, Cython and C++, it offers ease of use at high performance. Its modular design makes customization easy, while the included modules allow for a quick start.
Open AccessRidePy: A fast and modular framework for simulating ridepooling systems
RidePy enables fast computer simulations of on-demand mobility modes such as ridehailing or ridepooling. It strongly focuses on modeling the mobility service itself, rather than its customers or the environment. Through a combination of Python, Cython and C++, it offers ease of use at high performance. Its modular design makes customization easy, while the included modules allow for a quick start.