메뉴 건너뛰기




Volumn , Issue 2021, 2007, Pages 10-17

Agent-oriented coupling of activity-based demand generation with multiagent traffic simulation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INFORMATION ANALYSIS; MULTI AGENT SYSTEMS; REAL TIME SYSTEMS;

EID: 40049090947     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2021-02     Document Type: Article
Times cited : (47)

References (30)
  • 1
    • 85173142580 scopus 로고    scopus 로고
    • Beckman, R. J., K. A. Baggerly, and M. D. McKay. Creating Synthetic Base-Line Populations. Transportation Research A, Vol. 30, No. 6, 1996, pp. 415-429.
  • 2
    • 85173143503 scopus 로고    scopus 로고
    • Jonnalagadda, N., J. Freedman, W. A. Davidson, and J. D. Hunt. Development of Microsimulation Activity-Based Model for San Francisco: Destination and Mode Choice Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1777, TRB, National Research Council, Washington, D.C., 2001, pp. 25-35.
  • 3
    • 85173154537 scopus 로고    scopus 로고
    • Bowman, J. L., M. Bradley, Y. Shiftan, T. K. Lawton, and M. Ben-Akiva. Demonstration of an Activity-Based Model for Portland. In World Transport Research: Selected Proc., 8th World Conference on Transport Research 1998, Vol. 3, Elsevier, Oxford, United Kingdom, 1999, pp. 171-184.
  • 4
    • 85173149363 scopus 로고    scopus 로고
    • Pendyala, R. M., R. Kitamura, A. Kikuchi, T. Yamamoto, and S. Fujii. Florida Activity Mobility Simulator. In Transportation Research Record: Journal of the Transportation Research Board, No. 1921, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 123-130.
  • 5
    • 85173152737 scopus 로고    scopus 로고
    • Miller, E. J., and M. J. Roorda. Prototype Model of Household ActivityTravel Scheduling. In Transportation Research Record: Journal of the Transportation Research Board, No. 1831, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 114-121.
  • 6
    • 85173176139 scopus 로고    scopus 로고
    • Arentze, T. A., and H. J. P. Timmermans. Albatross: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000.
  • 7
    • 85173134425 scopus 로고    scopus 로고
    • Arentze, T. A., and H. J. P. Timmermans. ALBATROSS, Version 2.0. A Learning Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2005.
  • 8
    • 85173162334 scopus 로고    scopus 로고
    • Watling, D. Asymmetric Problems and Stochastic Process Models of Traffic Assignment. Transportation Research B, Vol. 30, No. 5, 1996, pp. 339-357.
  • 9
    • 85173135814 scopus 로고    scopus 로고
    • Dynasmart home page, www.dynasmart.com. Accessed July 2006.
  • 10
    • 85173187505 scopus 로고    scopus 로고
    • DynaMIT home page, mit.edu/its. Accessed July 2006.
  • 11
    • 85173138622 scopus 로고    scopus 로고
    • Friedrich, M., I. Hofsäß, K. Nökel, and P. Vortisch. A Dynamic Traffic Assignment Method for Planning and Telematic Applications. In Proc., Seminar K, Vol. P445 of European Transport Conference, PTRC, Cambridge, United Kingdom, 2000, pp. 29-40.
  • 12
    • 85173188055 scopus 로고    scopus 로고
    • Loudon, W. R., J. Parameswaran, and B. Gardner. Incorporating Feedback in Travel Forecasting. In Transportation Research Record 1607, TRB, National Research Council, Washington, D.C., 1997, pp. 185-195.
  • 13
    • 85173180532 scopus 로고    scopus 로고
    • Raney, B., and K. Nagel. Iterative Route Planning for Large-Scale Modular Transportation Simulations. Future Generation Computer Systems, Vol. 20, No. 7, 2004, pp. 1101-1118.
  • 14
    • 85173141206 scopus 로고    scopus 로고
    • Ferber, J. Multi-agent Systems. An Introduction to Distributed Artificial Intelligence. Addison-Wesley, Boston, Mass., 1999.
  • 15
    • 85173159713 scopus 로고    scopus 로고
    • Jara-Diaz, S. R., and R. Guerra. Modelling Activity Duration and Travel Choice from a Common Microeconomic Framework. Proc., Meeting of the International Association for Travel Behavior Research, Lucerne, Switzerland, 2003. www.ivt.baum.ethz.ch.
  • 16
    • 85173163896 scopus 로고    scopus 로고
    • Avineri, E., and J. N. Prashker. Sensitivity to Uncertainty: Need for Paradigm Shift. In Transportation Research Record: Journal of the Transportation Research Board, No. 1854, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 90-98.
  • 17
    • 85173165401 scopus 로고    scopus 로고
    • TRANSIMS home page, www.transims.net. Accessed July 2006.
  • 18
    • 85173163897 scopus 로고    scopus 로고
    • de Palma, A., and F. Marchal. Real Case Applications of the Fully Dynamic Metropolis Tool-Box: An Advocacy for Large-Scale Mesoscopic Transportation Systems. Networks and Spatial Economics, Vol. 2, No. 4, 2002, pp. 347-369.
  • 19
    • 85173160347 scopus 로고    scopus 로고
    • MATSim home page, www.matsim.org. Accessed July 2006.
  • 20
    • 85173167585 scopus 로고    scopus 로고
    • Cetin, N., A. Burri, and K. Nagel. A Large-Scale Agent-Based Traffic Microsimulation Based on Queue Model. Proc., Swiss Transport Research Conference, Monte Verita, Switzerland, 2003. www.strc.ch.
  • 21
    • 85173170377 scopus 로고    scopus 로고
    • Balmer, M., M. Rieser, A. Vogel, K. W. Axhausen, and K. Nagel. Generating Day Plans Using Hourly Origin-Destination Matrices. In Jahrbuch 2004/05 Schweizerische Verkehrswirtschaft (T. Bieger, C. Laesser, and R. Maggi, eds.), St. Gallen, Switzerland, 2005, pp. 5-36.
  • 22
    • 85173135636 scopus 로고    scopus 로고
    • Bhat, C. R., J. Y. Guo, S. Srinivasan, and A. Sivakumar. Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. In Transportation Research Record: Journal of the Transportation Research Board, No. 1894, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 57-66.
  • 23
    • 85173162743 scopus 로고    scopus 로고
    • Kutter, E. Integrierte Berechnung städtischen Personenverkehrs Dokumentation der Entwicklung eines Verkehrsberechnungsmodells für die Verkehrsentwicklungsplanung Berlin (West). Berlin, 1984.
  • 24
    • 85173172067 scopus 로고    scopus 로고
    • Kutter, E., H-J. Mikota, J. Rümenapp, and I. Steinmeyer. Untersuchung auf der Basis der Haushaltsbefragung 1998 (Berlin und Umland) zur Aktualisierung des Modells Pers Verk Berlin /RPlan, sowie speziell der Entwicklung der Verhaltensparameter '86-'98 im Westteil Berlins, der Validierung bisheriger Hypothesen zum Verhalten im Ostteil, der Bestimmung von Verhaltensparametern für das Umland. Entwurf des Schlussberichts im Auftrag der Senatsverwaltung für Stadtentwicklung Berlin. Berlin, 2002.
  • 25
    • 85173167140 scopus 로고    scopus 로고
    • Raney, B., and K. Nagel. Improved Framework for Large-Scale Multiagent Simulations of Travel Behavior. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
  • 26
    • 85173148662 scopus 로고    scopus 로고
    • Rümenapp, J., and I. Steinmeyer: Activity-Based Demand Generation: Anwendung des Berliner Personenverkehrsmodells zur Erzeugung von Aktivitätenketten als Input für Multi-Agenten-Simulationen. Arbeitsberichte Verkehrssystemplanung und Verkehrstelematik Nr. 06-09, Berlin, 2006.
  • 27
    • 85173188585 scopus 로고    scopus 로고
    • Meister, K., M. Balmer, K. W. Axhausen, and K. Nagel. Planomat: A Comprehensive Scheduler for a Large-Scale Multi-agent Transportation Simulation. Proc., Swiss Transport Research Conference, Monte Verita, Switzerland, 2006. www.strc.ch.
  • 28
    • 85173174349 scopus 로고    scopus 로고
    • Charypar, D., and K. Nagel. Generating Complete All-Day Activity Plans with Genetic Algorithms. Transportation, Vol. 21, No. 4, 2005, pp. 369-397.
  • 29
    • 85173130176 scopus 로고    scopus 로고
    • Arnott, R., A. de Palma, and R. Lindsey. A Structural Model of PeakPeriod Congestion: A Traffic Bottleneck with Elastic Demand. American Economic Review, Vol. 83, No. 1, 1993, p. 161.
  • 30
    • 85173156252 scopus 로고    scopus 로고
    • Balmer, M., B. Raney, and K. Nagel. Adjustment of Activity Timing and Duration in an Agent-Based Traffic Flow Simulation. In Progress in Activity-Based Analysis (H. J. P. Timmermans, ed.), Elsevier, Oxford, United Kingdom, 2005, pp. 91-114.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.