SUMO2019: Volume Information

SUMO User Conference 2019

22 articles257 pagesPublished: August 13, 2019

Papers

Moritz Klischat, Octav Dragoi, Mostafa Eissa and Matthias Althoff
1-9
Laura Bieker-Walz and Michael Behrisch
10-20
Jakob Kaths, Benedikt Schott and Frederic Chucholowski
21-28
Thanapapas Horsuwan and Chaodit Aswakul
29-47
Mirko Barthauer and Alexander Hafner
48-55
Yun-Pang Flötteröd, Michael Behrisch, Martijn Hendriks, Jean-Benoît Bonne, Erik Vullings and Rinze Bruining
56-67
Anna Braun, Mohcine Chraibi and Lukas Arnold
68-77
Jakub Krol, Bani Anvari and Roberto Lot
78-91
İsmet Gökşad Erdağı, Mehmet Ali Silgu and Hilmi Berk Çelikoğlu
92-100
Görkem Akyol, Mehmet Ali Silgu and Hilmi Berk Çelikoğlu
101-106
Levente Alekszejenkó and Tadeusz P. Dobrowiecki
107-123
Leonhard Lücken, Evangelos Mintsis, Kallirroi Porfyri, Robert Alms, Yun-Pang Flötteröd and Dimitrios Koutras
124-144
Jakub Sevcik and Jan Prikryl
145-157
Ei Ei Mon, Hideya Ochiai, Chaiyachet Saivichit and Chaodit Aswakul
158-171
Thomas Weber, Patrick Driesch and Dieter Schramm
172-186
Georgios Grigoropoulos, Leonhard Lücken, Jakob Erdmann and Heather Kaths
187-198
Heather Kaths, Andreas Keler, Jakob Kaths and Fritz Busch
199-205
Daniel Wesemeyer and Jan Trumpold
206-212
Philipp Heisig, Sven Erik Jeroschewski, Johannes Kristan, Robert Höttger, Ahmad Banijamali and Sabine Sachweh
213-229
Gerald Richter, Lukas Grohmann, Philippe Nitsche and Gernot Lenz
230-243
Peter Wagner, Robert Alms, Jakob Erdmann and Yun-Pang Flötteröd
244-255
Lara Codeca, Jérôme Härri and Jakob Erdmann
256-257

Keyphrases

Adaptive Cruise Control, Adaptive Traffic Control2, Automated connected vehicles, automated vehicles, Automation, autonomous vehicles, behaviour modelling, Bicycle Infrastructure Modelling, Bicycle simulator, Bicycle Traffic Simulation, Bicyclists, capacity of train stations, Car-following model, Car2X, Circuit Network Solver, Connected Vehicles, Cooperative Adaptive Cruise Control, Coupled simulators, crisis management, crossing scheduling, driver model2, driving performance, driving simulator, Electrification of Public Transport, Emissions, gridlock, gridlock detection, Hybrid Trolleybus, Infrastructure, intelligent traffic control systems, Interoperability, IoT, large-scale emergency evacuation, Large-scale Mobility Scenario, Mobility, motion planning, multiagent simulation platform, Overhead wires, Parking optimization, partial observability, pedestrian simulation, Pedestrian traffic, platooning, Reinforcement Learning, Road Surface Conditions, self-organizing traffic, simulation2, simulation coupling, Simulation of Urban Mobility, Smart Cars, smart mobility, software architecture, state estimation, SUMO3, SUMO Vehicle Device, takeover, traffic and crowd Simulation, traffic congestion, traffic flow simulation, traffic light control, Traffic Management2, traffic modelling, traffic signal co-ordination, traffic signal optimization, traffic simulation6, Transition of control, urban road network, vehicle simulation, Vehicles, Vehicular Communication, Velocity profile prediction.