330.008 PEOPLE
People | Locations | Statistics |
---|---|---|
Arnone, Maurizio |
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Weimer, Julian | Cologne |
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Yushau, Ilyas |
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Rupi, Federico |
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Bruneel, Herwig |
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Percoco, Marco |
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Gulati, Dhiraj |
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Gubser, Ariane |
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Friedrich, Horst E. | Stuttgart |
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Heldt, Benjamin |
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Mélange, Willem |
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Walraevens, Joris R R |
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Ye, Yun-Guang |
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MANNINO, CARLO |
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Zhang, Yinggui |
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Felux, Michael |
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Russwinkel, Nele |
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Unterhuber, Paul | Champs-sur-Marne |
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Lamorgese, Leonardo Cameron |
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Veraldi, Valerio |
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Endemann, Peter |
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Plogmann, Justin |
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Pensa, Stefano |
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Schindewolf, Marc |
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Ulrich, Christian |
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Zwick, Felix
in Cooperation with on an Cooperation-Score of 37%
Topics
- city traffic
- traffic mode
- vehicle fleet
- quality of service
- dynamic model
- mode choice
- choice model
- automation
- multi-agent transport simulation
- fare
- mode choice model
- ponding
- ridehailing
- ridepooling
- infrastructure
- travel
- modeling
- data
- Statistic
- civil engineering
- physics
- algorithm
- uncertainty
- state
- computer science
- constraint
- bottleneck
- customer
- travel time
- data analysis
- region
- automobile
- agent-based modeling
- public transport
- density
- sampling
- indicating instrument
- key performance indicator
- contrast
- traffic flow
- ridesharing
- electric vehicle
- autonomous vehicle
- assessment
- driver
- paper
- hub
- profit
- timetable
- operations research
- work environment
- automobile ownership
- ownership
- regression analysis
- determinant
- urban mobility
- hospital
- airport
- autumn
- COVID-19
- pandemic
- workplace
- face
- travel pattern
- summer
- test bed
- ridesplitting
- mobility provider
- bicycle
- scootersharing
- design
- road
- highway traffic
- vehicle
- routing
- urban area
- corporation
- waiting time
- demand responsive transportation
- private mobility
- noise
- contaminant
- city
- forecasting model
- traffic noise
- residential area
- door to door service
- show 57 more
Publications
- 2022Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim
- 2022Traffic Uncertainty in On-Demand High-Capacity Ride-Pooling
- 2022Flow-inflated selective sampling: Efficient agent-based dynamic ride-sharing simulations
- 2021Shifts in perspective: Operational aspects in (non-) autonomous ride-pooling simulations
- 2021Spatiotemporal determinants of ride-pooling usage in the course of COVID-19 on the example of MOIA
- 2021Ridepooling in der Modellierung des Gesamtverkehrs - Methodenbericht zur MOIA Begleitforschung
- 2021Ridepooling in Hamburg – the route to the future: Report on the results of the accompanying research for MOIA
- 2020Analysis of ridepooling strategies with MATSim
- 2020Agent-based simulation of city-wide autonomous ride-pooling and the impact on traffic noise
- 2020Ridepooling als ÖPNV-Ergänzung - Der Moia-Nachtservice während der Corona-Pandemie
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