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TU Berlin

Inhalt des Dokuments

Dipl.-Ing. Ihab Kaddoura

Lupe

Wissenschaftlicher Mitarbeiter

Sekr. SG 12, Salzufer 17-19, 10587 Berlin
SG 4.1, Raum Nr. 306

Tel.: +49 30 314 78 793
Fax.: +49 30 314 26 269

E-Mail: 

Lehre

  • UE Grundlagen der Modellierung und Simulation von Verkehr (WiSe)
  • UE Analyse und Bewertung von Verkehrssystemen (SoSe)

 

 

 

Publikationen

I. Kaddoura and K. Nagel. Congestion pricing in a real-world oriented agent-based simulation context. VSP Working Paper 17-14, TU Berlin, Transport Systems Planning and Transport Telematics, 2017.
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I. Kaddoura and K. Nagel. Simultaneous internalization of traffic congestion and noise exposures. Transportation, 2017. DOI: 10.1007/s11116-017-9776-0.
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I. Kaddoura, L. Kröger, and K. Nagel. An activity-based and dynamic approach to calculate road traffic noise damages. Transportation Research Part D: Transport and Environment, 54:335-347, 2017. DOI: 10.1016/j.trd.2017.06.005.
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A. Neumann, I. Kaddoura and K. Nagel. Mind the gap – Passenger arrival patterns in multi-agent simulations. International Journal of Transportation, 4(1):27-40, 2016. DOI: 10.14257/ijt.2016.4.1.02.
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I. Kaddoura and K. Nagel. Agent-based congestion pricing and transport routing with heterogeneous values of travel time savings. Procedia Computer Science, 83:908-913, 2016. DOI: 10.1016/j.procs.2016.04.184.
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I. Kaddoura and K. Nagel. Activity-based computation of marginal noise exposure costs: Implications for traffic management. Transportation Research Record, No. 2597:116-122, 2016. DOI: 10.3141/2597-15.
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I. Kaddoura, L. Kröger, and K. Nagel. User-specific and dynamic internalization of road traffic noise exposures. Networks and Spatial Economics, 2016. DOI: 10.1007/s11067-016-9321-2.
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I. Kaddoura, B. Kickhöfer, A. Neumann, and A. Tirachini. Optimal public transport pricing: Towards an agent-based marginal social cost approach. Journal of Transport Economics and Policy, 49(2):200– 218, 2015.
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I. Kaddoura, B. Kickhöfer, A. Neumann, and A. Tirachini. Agent-based optimisation of public transport supply and pricing: Impacts of activity scheduling decisions and simulation randomness. Transportation, 42(6):1039–1061, 2015. DOI: 10.1007/s11116-014-9533-6.
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I. Kaddoura. Marginal congestion cost pricing in a multi-agent simulation. Investigation of the Greater Berlin Area. Journal of Transport Economics and Policy, 49(4):560–578, 2015.
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I. Kaddoura and B. Kickhöfer. Optimal road pricing: Towards an agent-based marginal social cost approach. VSP Working Paper 14-01, TU Berlin, Transport Systems Planning and Transport Telematics, 2014.
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A. Neumann, I. Kaddoura, and K. Nagel. Mind the gap – Passenger arrival patterns in multi-agent simulations. In Conference on Agent-Based Modeling in Transportation Planning and Operations 2013, Blacksburg, Virginia, USA, 2013. Also VSP WP 13-14.
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I. Kaddoura, B. Kickhöfer, A. Neumann, and A. Tirachini. Optimal public transport pricing: Towards an agent-based marginal social cost approach. In hEART 2013 – 2nd Symposium of the European Association for Research in Transportation, Stockholm, Sweden, 2013. Awarded as the Best PhD Student Paper at hEART 2013. Also VSP WP 13-09.
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I. Kaddoura, B. Kickhöfer, A. Neumann, and A. Tirachini. Public transport supply optimization in an activity-based model: Impacts of activity scheduling decisions and dynamic congestion. In Latsis Symposium 2012 – 1st European Symposium on Quantitative Methods in Transportation Systems, Lausanne, Switzerland, 2012. Also VSP WP 12-17.
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B. Kickhöfer, I. Kaddoura, A. Neumann, and A. Tirachini. Optimal public transport supply in an agent-based model: The influence of departure time choice on operator’s profit and social welfare. In Kuhmo Nectar Conference on Transportation Economics, 2012. Also VSP WP 12-05.
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I. Kaddoura. Park’n’ride als Anreiz zur Benutzung des ÖPNV - Erweiterung einer agentenbasierten Simulation um den intermodalen Verkehr und Untersuchung des Großraums Berlin. Diplomarbeit (Diploma Thesis), TU Berlin, Institute for Land and Sea Transport Systems, Berlin, Germany, September 2012.
I. Kaddoura. Die Optimierung des öffentlichen Verkehrsangebots mittels agentenbasierter Simulation. Studienarbeit, TU Berlin, Institute for Land and Sea Transport Systems, Berlin, Germany, June 2012.

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