| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Schreckenberg, Michael
Deutsche Forschungsgemeinschaft
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2020Cellular Automata Intersection Modelcitations
- 2020Correlations in Spatiotemporal Headway Dynamics of Road Traffic Using Extremely Accurate Microscopic Empirical Data
- 2020Movement Characteristics of Processions
- 2018Simulation and Optimization of Ground Traffic on Airports using Cellular Automatacitations
- 2016Impact of Synchronised Flow in Oversaturated City Traffic on Energy Efficiency of Conventional and Electrical Vehiclescitations
- 20141st SUMO User Conference 2013
- 2013Statistische Analyse von Hochflusszuständen im Verkehr ; Statistical Analysis of High-Flow Traffic States
- 2013SPECIAL ISSUE Application of Cellular Automata to Crowds and Traffic Dynamics
- 2013Editorial
- 2011Stauforschung und Elektromobilität: Wie wird sich der Verkehr auf unseren Straßen durch Elektromobile verändern?
- 2005Traffic and Granular Flow ’03citations
- 2003Optimal traffic states in a cellular automaton for city traffic
- 2002A Microscopic Simulator for Freeway Trafficcitations
- 2002Experiments and Simulations on Day-to-Day Route Choice-Behaviour
Places of action
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report
Experiments and Simulations on Day-to-Day Route Choice-Behaviour
Abstract
The paper reports laboratory experiments on a day-to-day route choice game with two routes. Subjects had to choose between a main road M and a side road S. The capacity was greater for the main road. 18 subjects participated in each session. In equilibrium the number of subjects is 12 on M and 6 on S. Two treatments with 6 sessions each were run at the Laboratory of Experimental Economics at Bonn University using RatImage. Feedback was given in treatment I only about own travel time and in treatment II on travel time for M and S. Money payoffs increase with decreasing time. The main results are as follows. 1.Mean numbers on M and S are very near to the equilibrium. 2.Fluctuations persist until the end of the sessions in both treatments. 3.Fluctuations are smaller under treatment II .The effect is small but significant. 4.The total number of changes is significantly greater in treatment I. 5.Subjects' road changes and payoffs are negatively correlated in all sessions. 6.A direct response mode reacts with more changes for bad payoffs whereas a contrary response mode shows opposite reactions. Both response modes can be observed. 7.The simulation of an extended payoff sum learning model closely fits the main results of the statistical evaluation of the data.
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